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The Telegram API has a limitation to send only 30 messages per second. Use this workflow to send messages to more than 30 chats in Telegram.

This is a proof of concept workflow showing how you would connect n8n to a Bubble data collection.

Companion workflow for Excel node docs

This workflow allows you to generate, retrieve and download a report using the SecurityScorecard node. SecurityScorecard node: This node generates a full scorecard report. Based on your use-case, you can generate other type of report. SecurityScorecard1 node: This node fetches the latest report from SecurirtScoredcard. Toggle Return All to true to return all the reports. SecurityScorecard2 node: This node downloads the report that got fetched from the previous node. Based on your use-case, you can either store this report in Dropbox, Google Drive etc. or email it using the Gmail node, Send Email node or the Microsoft Outlook node. You can replace the Strat node with the Cron node to trigger the workflow on a regurlar interval.

This workflow allows you to collect tweets, store them in MongoDB, analyse their sentiment, insert them into a Postgres database, and post positive tweets in a Slack channel. Cron node: Schedule the workflow to run every day Twitter node: Collect tweets MongoDB node: Insert the collected tweets in MongoDB Google Cloud Natural Language node: Analyse the sentiment of the collected tweets Set node: Extract the sentiment score and magnitude Postgres node: Insert the tweets and their sentiment score and magnitude in a Posgres database IF node: Filter tweets with positive and negative sentiment scores Slack node: Post tweets with a positive sentiment score in a Slack channel NoOp node: Ignore tweets with a negative sentiment score

Sending an SMS using MSG91

Companion workflow for Salesforce node docs

This workflow sends out email notifications when a new file has been uploaded to Google Drive. The workflow uses two nodes: Google Drive Trigger**: This node will trigger the workflow whenever a new file has been uploaded to a given folder Send Email**: This node sends out the email using data from the previous Google Drive Trigger node.

Companion workflow for Postgres node docs

This workflow is a generic example of how to load data from your workflow into a destination that stores tabular data. For example, a Google Sheets or Airtable sheet, a .CSV file, or any relational database like MySQL. Generally, you need to ensure that you send well-formatted data into the Spreadsheet or Database node. You can use the Set or Function node to transform data into the correct format for your destination. Key concepts Spreadsheets and databases have columns, like "Name" and "Email". The data you send into a Spreadsheet/ Database node needs to match these column names for each row of data that you want to insert. Data points need to be represented as key-value pairs. Specifically, each item of data needs to have a JSON key for each column in the sheet. For a spreadsheet with "Name" and "Email" columns, it would look like: {"Name" : "Karla", "Email" : "[email protected]"} Before appending or inserting data to a spreadsheet or database, you might need to transform it into the correct format. You can preprocess the data with a Set or Function node. The Set node allows you to perform simple transforms when the data you want to load into spreadsheet rows is already represented as items. Use the Function node when you need to map nested data (like arrays) inside a single item to their own top-level items (Example in community forums). Spreadsheet and database nodes in n8n perform their configured action (like Append, Create Row, Write to File) on each item of input data. Workflow walkthrough

Basics Provides a mechanism to save all your workflows into a github repository and path (of your choosing). These can then be shared through your entire org and used to track changes (if you make any sad 'oopsies'. Flow Obtains and creates listing of currently configured workflows. Iterates through each workflow looking at the following Github source (if present) Actual workflow code (from N8N) Workflow code is sorted and compared for any changes If changed (or new) the workflows are saved / archived into github. Configuration Most of the configuration is done in the Globals node which houses the repo detail for github nodes. The only other dependency is that it by default looks for a GitHub credential, if you use something other than that precise wording you will need to change the credential used on the respective nodes. We gave it 'Manage' rights, but that was only so that it was able to override a requirement for checks to complete? Most would probably only need 'Write' privileges. Background Well, so we initially started using N8N just as a kubernetes-based service housed with its DB running inside the pod. Worked great for getting to know N8N and we jut kept all our workflows and credentials listed in a readme. Fast forward about a year... We have migrated this into our 'production' toolsets and maintain a bunch of team worflows inside it (not company-wide, but LOTS of team fun). While trying to spin a copy of our production RDS database, the ++actual++ production database was deleted, and in doing so AWS was nice enough to wipe our snapshots too!! Yea! Thankfully it only took us a few hours to get everything back up and running thanks to this, so I'm sharing it for everyone to benefit. We have used it to restore old workflows, changes, and now to test our full DR proceedures! (Ok, I might have taken that a bit far)

This workflow executes every minute and fetches the recent tweets from Twitter with the search query n8n_io. The workflow is built on the concept of polling. Cron node: The Cron node triggers the workflow every minute. Based on your use-case you can configure the time. You can even use the Interval node to trigger the workflow at a certain time interval. Twitter node: The Twitter node searches for the tweets that contain n8n_io and returns the most recent tweets. You can specify a different search query based on your use-case. Set node: The Set node sets the data that we pass on to the next nodes in the workflow. You can set only the values that you require in your workflow. Function node: All the magic happens in this node. The Twitter node returns all the recent tweets, including the ones which were returned earlier. The Function node, using the getWorkflowStaticData() method, only returns the tweets that are new, i.e., the tweets that were not returned in the previous workflow. Mattermost node: The Mattermost node sends the tweets from the Function node to the Twitter notifications channel. If you don't use Mattermost and want to share this data on a different platform, replace this node with the appropriate node.

This workflow allows you to insert and retrieve data from a table in Stackby. Set node: The Set node is used to set the values for the name and id fields for a new record. You might want to add data from an external source, for example an API or a CRM. Based on your use-case, add the respective node before the Set node and configure your Set node accordingly. Stackby node: This node appends data from the previous node to a table in Stackby. Based on the values you want add to your table, enter the column names in the Column field. Stackby1 node: This node fetches all the data that is stored in the table in Stackby.

This workflow allows you to create, update, and get a subscriber using the E-goi node.

rss-telegramBot 1min refreash choose send message or one photo 0.1 beater code 2019/11/30 0.2 bug fix add instagram rss

This workflow uses n8n to extract the names of all the posts from the Hackernoon homepage.

This workflow allows you to create an affiliate, add metadata, and add the affiliate to a program. Tapfiliate node: This node allows you to create a new affiliate in Tapfiliate. Tapfiliate1 node: This node allows you add metadata to the affiliate that you created previously. Based on your use-case, you may or may not require this node. Tapfiliate2 node: This node allows you to add the affiliate that you created previously to a program. Based on your use-case, you might want to replace the Start node with a trigger node that gets you the information of an affiliate.

This workflow can be used to save all of your workflows in: a raw state (as a json file in Dropbox) an Airtable base, in a pre-designed format. It runs periodically (currently, every 30 minutes) and either updates (if already existing in Airtable) or creates a new record in Airtable for each workflow. Here's the Airtable base to give you an idea: View Airtable base Note: This workflows uses the "http://localhost:5678/rest" API which the UI editor uses but is still not officially supported. Hence, it may suffer breaking changes at some point in the future and the workflow might become dysfunctional then.

This workflow allows you to create, update, and get an item from Webflow. Webflow node: This node will create a new collection of the type Team Members in Webflow. If you want to create a collection with a different type, use that type instead. Webflow1 node: This node will update the item that we created using the previous node. Webflow2 node: This node will retrieve the information of the object that we created earlier.

This workflow will gather data every minute from the GitHub (https://github.com), Docker (https://www.docker.com/), npm (https://www.npmjs.com/) and Product Hunt (https://www.producthunt.com/) website APIs and display select information on a Smashing (https://smashing.github.io/) dashboard. For convenience sake, the dashboard piece can be easily downloaded as a docker container (https://hub.docker.com/r/tephlon/n8n_dashboard) and installed into your docker environment.

This workflow ensures gender inclusive language in Mattermost channels. If someone addresses the group with “guys” or “gals”, a bot promptly replies with: "May I suggest “folks” or “y'all”? We use gender inclusive language here. 😄". Webhook node**: triggers the workflow when a new message is posted in Mattermost. IF node**: verifies if the message includes the words "guys" or "gals". If false, it does not take any action. If true, it triggers the Mattermost node. Mattermost node**: posts the language warning message in the Mattermost channel.

A discord integration that sends you memes :)

I used this to check for a page that had Out Of Stock not found when an item came back in stock. Set the URL for the HTTP Request node and your Webhook URL and Messages for the discord nodes.

Moving metrics from Google Sheets to Orbit

Companion workflow for Mailjet node docs

Companion workflow for Shopify node docs

This workflow allows you to filter positive and negative feedback received from a Typeform and insert the data into Google Sheets. Typeform Trigger node: Start the workflow when a new form is submitted via Typeform Set node: Extract the information submitted in typeform IF node: Filter positive and negative reviews (i.e. ratings above or below 3 out of 5). Google Sheets node: Store the positive and negative reviews and ratings in two different sheets for each case.

This example workflow allows you to create, update, and get a document in Google Cloud Firestore. The workflow uses the Set node to set the data, however, you might receive data from a different source. Add the node that receives the data before the Set node and set the values you want to insert in a document, in the Set node. Also, update the Columns/ attributes fields in the Google Cloud Firestore node.

Companion Workflow for Postgres node docs

Companion workflow for Bannerbear node docs

This workflow allows you to send an SMS to a number whenever you go out. Pushcut is an app for iOS that lets you create smart notifications to kick off shortcuts, URLs, and online automation. You can have multiple actions for a notification. You can use the IF node to check which action was selected and build the workflow accordingly. Pushcut Trigger node: This node triggers the workflow when an action is selected by the user. Twilio node: The Twilio node sends an SMS with the input given by the user. Based on your use-case, you might want to do something else, for example, send a Tweet, dim or turn off your Philips Hue lights, add activity to Strava or play music on Spotify. Replace the Twilio node with these nodes to customize the workflow as per your needs.

This workflow allows you to get analytics of a website and store it Airtable. In this workflow, we get the analytics for the sessions grouped by the country. Based on your use-case, you can select different Dimensions and set different Metrics. You can use the Cron node or the Interval node to trigger the workflow on a particular interval and fetch the analytics data regularly. Based on your use-case, you might want to store the data returned by Google Analytics to a database or a Google Sheet. Replace the Airtable node with the appropriate node.

This workflow allows you to create, add an attachment, and send a draft using the Microsoft Outlook node. Microsoft Outlook node: This node creates a draft message with HTML content. You can either set the content as Text or HTML. You can also add the recipients to the draft in this node. HTTP Request node: This node fetches the logo of n8n from a URL and returns the binary data. You might want to fetch files from your machine or another email or a database. You can replace this node with the relevant node. Microsoft Outlook1 node: This node adds the attachment that we receive from the previous node to the draft message that we created. Microsoft Outlook2 node: This node sends the draft message to a recipient. Since we didn't mention the recipient in the Microsoft Outlook node, we add the recipient in this node. You can also enter multiple recipients.

This workflow demonstrates how to use noItemsLeft to check if there are items left to be processed by the SplitInBatches node. Function node: This node generates mock data for the workflow. Replace it with the node whose data you want to split into batches. SplitInBatches node: This node splits the data with the batch size equal to 1. Based on your use-case, set the value of the Batch Size. IF node: This node check if all the data by the SplitInBatches are not processed or not. It uses the expression {{$node["SplitInBatches"].context["noItemsLeft"]}} which returns a boolean value. If there is data yet to be processed, the expression will return false, otherwise true. Set node: This node prints a message No Items Left. Based on your use-case, connect the false output of the IF node to the input of the node you want to execute, after the data is processed by the SplitInBatches node.

This workflow posts a poem translated into English every day in a Telegram chat. Cron node: triggers the workflow every day at 10:00. You can change the time and interval based on your use case. HTTP Request node: makes an HTTP request to the Poemist API that returns a random poem. LingvaNex node: translates the returned poems into English. Telegram node: takes in the translated poem and posts it in the chat.

Not sure what to eat tonight? Have recipes emailed to you daily based on your criterial. To run this workflow, you will need to have: A Recipe Search API key from Edamam An active email account with configured credentials To set up your credentials: Set your Edamam AppID and AppKey in the Search Criteria node Select (or create) your email credentials in the Send Recipes node (and set up the to: and from: email addresses while you are at it) To customize the recipes that you receive, open up the Search Criteria node and modify one or more of the following: RecipeCount** - the numner of recipes you would like to receive IngredientCount** - the maximum number of ingredients you would like each recipe to have CaloriesMin** - the minimum number of calories the recipe will have CaloriesMax** - the maximum number of calories the recipe will have TimeMin** - the minimum amount of time (in minutes) the recipe will take to prepare TimeMax** - the maximum amount of time (in minutes) the recipe will take to prepare Diet** - Select one of the following options: balanced - Protein/Fat/Carb values in 15/35/50 ratio high-fiber - More than 5g fiber per serving high-protein - More than 50% of total calories from proteins low-carb - Less than 20% of total calories from carbs low-fat - Less than 15% of total calories from fat low-sodium - Less than 140mg Na per serving random - selects a different random diet each day Health** - Select one of the following options: alcohol-free - No alcohol used or contained immuno-supportive - Recipes which fit a science-based approach to eating to strengthen the immune system celery-free - does not contain celery or derivatives crustacean-free - does not contain crustaceans (shrimp, lobster etc.) or derivatives dairy-free - No dairy; no lactose egg-free - No eggs or products containing eggs fish-free - No fish or fish derivatives fodmap-free - Does not contain FODMAP foods gluten-free - No ingredients containing gluten keto-friendly - Maximum 7 grams of net carbs per serving kidney-friendly - per serving – phosphorus less than 250 mg AND potassium less than 500 mg AND sodium: less than 500 mg kosher - contains only ingredients allowed by the kosher diet. However it does not guarantee kosher preparation of the ingredients themselves low-potassium - Less than 150mg per serving lupine-free - does not contain lupine or derivatives mustard-free - does not contain mustard or derivatives low-fat-abs - Less than 3g of fat per serving no-oil-added - No oil added except to what is contained in the basic ingredients low-sugar - No simple sugars – glucose, dextrose, galactose, fructose, sucrose, lactose, maltose paleo - Excludes what are perceived to be agricultural products; grains, legumes, dairy products, potatoes, refined salt, refined sugar, and processed oils peanut-free - No peanuts or products containing peanuts pecatarian - Does not contain meat or meat based products, can contain dairy and fish pork-free - does not contain pork or derivatives red-meat-free - does not contain beef, lamb, pork, duck, goose, game, horse, and other types of red meat or products containing red meat. sesame-free - does not contain sesame seed or derivatives shellfish-free - No shellfish or shellfish derivatives soy-free - No soy or products containing soy sugar-conscious - Less than 4g of sugar per serving tree-nut-free - No tree nuts or products containing tree nuts vegan - No meat, poultry, fish, dairy, eggs or honey vegetarian - No meat, poultry, or fish wheat-free - No wheat, can have gluten though random - selects a different random health option each day SearchItem* - the general term that you are looking for e.g. *chicken

Companion workflow for Rundeck node docs

Ok google download "movie name" I develop this automation to improve my quality of life in handling torrents in my media-center. Goal Automate the search operations of a movie based on its name and trigger a download using your transmission-daemon. Setup Prerequisite Transmission daemon up and running and its authentication method N8N configured self-hosted or with the possibility to add npm package better with docker-compose.yaml Telegram bot credential [optional] Configuration Create a folder where your docker-compose.yaml belongs n8n_dir and proceed in installing the node package. cd ~/n8n_dir npm i torrent-search-api Configuring your docker-compose.yaml file this way. You must include all the dependencies of torrent-search-api. This will let you run the new torrent search node presented in this workflow. version: '3.3' services: n8n: container_name: n8n ports: '5678:5678' restart: always volumes: '~/n8n_dir/.n8n:/home/node/.n8n' '~/n8n_dir/node_modules/@tootallnate:/usr/local/lib/node_modules/@tootallnate' '~/n8n_dir/node_modules/accepts:/usr/local/lib/node_modules/accepts' '~/n8n_dir/node_modules/agent-base:/usr/local/lib/node_modules/agent-base' '~/n8n_dir/node_modules/ajv:/usr/local/lib/node_modules/ajv' '~/n8n_dir/node_modules/ansi-styles:/usr/local/lib/node_modules/ansi-styles' '~/n8n_dir/node_modules/asn1:/usr/local/lib/node_modules/asn1' '~/n8n_dir/node_modules/assert:/usr/local/lib/node_modules/assert' '~/n8n_dir/node_modules/assert-plus:/usr/local/lib/node_modules/assert-plus' '~/n8n_dir/node_modules/ast-types:/usr/local/lib/node_modules/ast-types' '~/n8n_dir/node_modules/asynckit:/usr/local/lib/node_modules/asynckit' '~/n8n_dir/node_modules/aws-sign2:/usr/local/lib/node_modules/aws-sign2' '~/n8n_dir/node_modules/aws4:/usr/local/lib/node_modules/aws4' '~/n8n_dir/node_modules/base64-js:/usr/local/lib/node_modules/base64-js' '~/n8n_dir/node_modules/batch:/usr/local/lib/node_modules/batch' '~/n8n_dir/node_modules/bcrypt-pbkdf:/usr/local/lib/node_modules/bcrypt-pbkdf' '~/n8n_dir/node_modules/bluebird:/usr/local/lib/node_modules/bluebird' '~/n8n_dir/node_modules/boolbase:/usr/local/lib/node_modules/boolbase' '~/n8n_dir/node_modules/brotli:/usr/local/lib/node_modules/brotli' '~/n8n_dir/node_modules/bytes:/usr/local/lib/node_modules/bytes' '~/n8n_dir/node_modules/caseless:/usr/local/lib/node_modules/caseless' '~/n8n_dir/node_modules/chalk:/usr/local/lib/node_modules/chalk' '~/n8n_dir/node_modules/cheerio:/usr/local/lib/node_modules/cheerio' '~/n8n_dir/node_modules/cloudscraper:/usr/local/lib/node_modules/cloudscraper' '~/n8n_dir/node_modules/co:/usr/local/lib/node_modules/co' '~/n8n_dir/node_modules/color-convert:/usr/local/lib/node_modules/color-convert' '~/n8n_dir/node_modules/color-name:/usr/local/lib/node_modules/color-name' '~/n8n_dir/node_modules/combined-stream:/usr/local/lib/node_modules/combined-stream' '~/n8n_dir/node_modules/component-emitter:/usr/local/lib/node_modules/component-emitter' '~/n8n_dir/node_modules/content-disposition:/usr/local/lib/node_modules/content-disposition' '~/n8n_dir/node_modules/content-type:/usr/local/lib/node_modules/content-type' '~/n8n_dir/node_modules/cookiejar:/usr/local/lib/node_modules/cookiejar' '~/n8n_dir/node_modules/core-util-is:/usr/local/lib/node_modules/core-util-is' '~/n8n_dir/node_modules/css-select:/usr/local/lib/node_modules/css-select' '~/n8n_dir/node_modules/css-what:/usr/local/lib/node_modules/css-what' '~/n8n_dir/node_modules/dashdash:/usr/local/lib/node_modules/dashdash' '~/n8n_dir/node_modules/data-uri-to-buffer:/usr/local/lib/node_modules/data-uri-to-buffer' '~/n8n_dir/node_modules/debug:/usr/local/lib/node_modules/debug' '~/n8n_dir/node_modules/deep-is:/usr/local/lib/node_modules/deep-is' '~/n8n_dir/node_modules/degenerator:/usr/local/lib/node_modules/degenerator' '~/n8n_dir/node_modules/delayed-stream:/usr/local/lib/node_modules/delayed-stream' '~/n8n_dir/node_modules/delegates:/usr/local/lib/node_modules/delegates' '~/n8n_dir/node_modules/depd:/usr/local/lib/node_modules/depd' '~/n8n_dir/node_modules/destroy:/usr/local/lib/node_modules/destroy' '~/n8n_dir/node_modules/dom-serializer:/usr/local/lib/node_modules/dom-serializer' '~/n8n_dir/node_modules/domelementtype:/usr/local/lib/node_modules/domelementtype' '~/n8n_dir/node_modules/domhandler:/usr/local/lib/node_modules/domhandler' '~/n8n_dir/node_modules/domutils:/usr/local/lib/node_modules/domutils' '~/n8n_dir/node_modules/ecc-jsbn:/usr/local/lib/node_modules/ecc-jsbn' '~/n8n_dir/node_modules/ee-first:/usr/local/lib/node_modules/ee-first' '~/n8n_dir/node_modules/emitter-component:/usr/local/lib/node_modules/emitter-component' '~/n8n_dir/node_modules/enqueue:/usr/local/lib/node_modules/enqueue' '~/n8n_dir/node_modules/enstore:/usr/local/lib/node_modules/enstore' '~/n8n_dir/node_modules/entities:/usr/local/lib/node_modules/entities' '~/n8n_dir/node_modules/error-inject:/usr/local/lib/node_modules/error-inject' '~/n8n_dir/node_modules/escape-html:/usr/local/lib/node_modules/escape-html' '~/n8n_dir/node_modules/escape-string-regexp:/usr/local/lib/node_modules/escape-string-regexp' '~/n8n_dir/node_modules/escodegen:/usr/local/lib/node_modules/escodegen' '~/n8n_dir/node_modules/esprima:/usr/local/lib/node_modules/esprima' '~/n8n_dir/node_modules/estraverse:/usr/local/lib/node_modules/estraverse' '~/n8n_dir/node_modules/esutils:/usr/local/lib/node_modules/esutils' '~/n8n_dir/node_modules/extend:/usr/local/lib/node_modules/extend' '~/n8n_dir/node_modules/extsprintf:/usr/local/lib/node_modules/extsprintf' '~/n8n_dir/node_modules/fast-deep-equal:/usr/local/lib/node_modules/fast-deep-equal' '~/n8n_dir/node_modules/fast-json-stable-stringify:/usr/local/lib/node_modules/fast-json-stable-stringify' '~/n8n_dir/node_modules/fast-levenshtein:/usr/local/lib/node_modules/fast-levenshtein' '~/n8n_dir/node_modules/file-uri-to-path:/usr/local/lib/node_modules/file-uri-to-path' '~/n8n_dir/node_modules/forever-agent:/usr/local/lib/node_modules/forever-agent' '~/n8n_dir/node_modules/form-data:/usr/local/lib/node_modules/form-data' '~/n8n_dir/node_modules/format-parser:/usr/local/lib/node_modules/format-parser' '~/n8n_dir/node_modules/formidable:/usr/local/lib/node_modules/formidable' '~/n8n_dir/node_modules/fs-extra:/usr/local/lib/node_modules/fs-extra' '~/n8n_dir/node_modules/ftp:/usr/local/lib/node_modules/ftp' '~/n8n_dir/node_modules/get-uri:/usr/local/lib/node_modules/get-uri' '~/n8n_dir/node_modules/getpass:/usr/local/lib/node_modules/getpass' '~/n8n_dir/node_modules/graceful-fs:/usr/local/lib/node_modules/graceful-fs' '~/n8n_dir/node_modules/har-schema:/usr/local/lib/node_modules/har-schema' '~/n8n_dir/node_modules/har-validator:/usr/local/lib/node_modules/har-validator' '~/n8n_dir/node_modules/has-flag:/usr/local/lib/node_modules/has-flag' '~/n8n_dir/node_modules/htmlparser2:/usr/local/lib/node_modules/htmlparser2' '~/n8n_dir/node_modules/http-context:/usr/local/lib/node_modules/http-context' '~/n8n_dir/node_modules/http-errors:/usr/local/lib/node_modules/http-errors' '~/n8n_dir/node_modules/http-incoming:/usr/local/lib/node_modules/http-incoming' '~/n8n_dir/node_modules/http-outgoing:/usr/local/lib/node_modules/http-outgoing' '~/n8n_dir/node_modules/http-proxy-agent:/usr/local/lib/node_modules/http-proxy-agent' '~/n8n_dir/node_modules/http-signature:/usr/local/lib/node_modules/http-signature' '~/n8n_dir/node_modules/https-proxy-agent:/usr/local/lib/node_modules/https-proxy-agent' '~/n8n_dir/node_modules/iconv-lite:/usr/local/lib/node_modules/iconv-lite' '~/n8n_dir/node_modules/inherits:/usr/local/lib/node_modules/inherits' '~/n8n_dir/node_modules/ip:/usr/local/lib/node_modules/ip' '~/n8n_dir/node_modules/is-browser:/usr/local/lib/node_modules/is-browser' '~/n8n_dir/node_modules/is-typedarray:/usr/local/lib/node_modules/is-typedarray' '~/n8n_dir/node_modules/is-url:/usr/local/lib/node_modules/is-url' '~/n8n_dir/node_modules/isarray:/usr/local/lib/node_modules/isarray' '~/n8n_dir/node_modules/isobject:/usr/local/lib/node_modules/isobject' '~/n8n_dir/node_modules/isstream:/usr/local/lib/node_modules/isstream' '~/n8n_dir/node_modules/jsbn:/usr/local/lib/node_modules/jsbn' '~/n8n_dir/node_modules/json-schema:/usr/local/lib/node_modules/json-schema' '~/n8n_dir/node_modules/json-schema-traverse:/usr/local/lib/node_modules/json-schema-traverse' '~/n8n_dir/node_modules/json-stringify-safe:/usr/local/lib/node_modules/json-stringify-safe' '~/n8n_dir/node_modules/jsonfile:/usr/local/lib/node_modules/jsonfile' '~/n8n_dir/node_modules/jsprim:/usr/local/lib/node_modules/jsprim' '~/n8n_dir/node_modules/koa-is-json:/usr/local/lib/node_modules/koa-is-json' '~/n8n_dir/node_modules/levn:/usr/local/lib/node_modules/levn' '~/n8n_dir/node_modules/lodash:/usr/local/lib/node_modules/lodash' '~/n8n_dir/node_modules/lodash.assignin:/usr/local/lib/node_modules/lodash.assignin' '~/n8n_dir/node_modules/lodash.bind:/usr/local/lib/node_modules/lodash.bind' '~/n8n_dir/node_modules/lodash.defaults:/usr/local/lib/node_modules/lodash.defaults' '~/n8n_dir/node_modules/lodash.filter:/usr/local/lib/node_modules/lodash.filter' '~/n8n_dir/node_modules/lodash.flatten:/usr/local/lib/node_modules/lodash.flatten' '~/n8n_dir/node_modules/lodash.foreach:/usr/local/lib/node_modules/lodash.foreach' '~/n8n_dir/node_modules/lodash.map:/usr/local/lib/node_modules/lodash.map' '~/n8n_dir/node_modules/lodash.merge:/usr/local/lib/node_modules/lodash.merge' '~/n8n_dir/node_modules/lodash.pick:/usr/local/lib/node_modules/lodash.pick' '~/n8n_dir/node_modules/lodash.reduce:/usr/local/lib/node_modules/lodash.reduce' '~/n8n_dir/node_modules/lodash.reject:/usr/local/lib/node_modules/lodash.reject' '~/n8n_dir/node_modules/lodash.some:/usr/local/lib/node_modules/lodash.some' '~/n8n_dir/node_modules/lru-cache:/usr/local/lib/node_modules/lru-cache' '~/n8n_dir/node_modules/media-typer:/usr/local/lib/node_modules/media-typer' '~/n8n_dir/node_modules/methods:/usr/local/lib/node_modules/methods' '~/n8n_dir/node_modules/mime:/usr/local/lib/node_modules/mime' '~/n8n_dir/node_modules/mime-db:/usr/local/lib/node_modules/mime-db' '~/n8n_dir/node_modules/mime-types:/usr/local/lib/node_modules/mime-types' '~/n8n_dir/node_modules/monotonic-timestamp:/usr/local/lib/node_modules/monotonic-timestamp' '~/n8n_dir/node_modules/ms:/usr/local/lib/node_modules/ms' '~/n8n_dir/node_modules/negotiator:/usr/local/lib/node_modules/negotiator' '~/n8n_dir/node_modules/netmask:/usr/local/lib/node_modules/netmask' '~/n8n_dir/node_modules/nth-check:/usr/local/lib/node_modules/nth-check' '~/n8n_dir/node_modules/oauth-sign:/usr/local/lib/node_modules/oauth-sign' '~/n8n_dir/node_modules/object-assign:/usr/local/lib/node_modules/object-assign' '~/n8n_dir/node_modules/on-finished:/usr/local/lib/node_modules/on-finished' '~/n8n_dir/node_modules/optionator:/usr/local/lib/node_modules/optionator' '~/n8n_dir/node_modules/pac-proxy-agent:/usr/local/lib/node_modules/pac-proxy-agent' '~/n8n_dir/node_modules/pac-resolver:/usr/local/lib/node_modules/pac-resolver' '~/n8n_dir/node_modules/parseurl:/usr/local/lib/node_modules/parseurl' '~/n8n_dir/node_modules/performance-now:/usr/local/lib/node_modules/performance-now' '~/n8n_dir/node_modules/prelude-ls:/usr/local/lib/node_modules/prelude-ls' '~/n8n_dir/node_modules/process-nextick-args:/usr/local/lib/node_modules/process-nextick-args' '~/n8n_dir/node_modules/promise-polyfill:/usr/local/lib/node_modules/promise-polyfill' '~/n8n_dir/node_modules/proxy-agent:/usr/local/lib/node_modules/proxy-agent' '~/n8n_dir/node_modules/proxy-from-env:/usr/local/lib/node_modules/proxy-from-env' '~/n8n_dir/node_modules/psl:/usr/local/lib/node_modules/psl' '~/n8n_dir/node_modules/punycode:/usr/local/lib/node_modules/punycode' '~/n8n_dir/node_modules/qs:/usr/local/lib/node_modules/qs' '~/n8n_dir/node_modules/querystring:/usr/local/lib/node_modules/querystring' '~/n8n_dir/node_modules/raw-body:/usr/local/lib/node_modules/raw-body' '~/n8n_dir/node_modules/readable-stream:/usr/local/lib/node_modules/readable-stream' '~/n8n_dir/node_modules/request:/usr/local/lib/node_modules/request' '~/n8n_dir/node_modules/request-promise:/usr/local/lib/node_modules/request-promise' '~/n8n_dir/node_modules/request-promise-core:/usr/local/lib/node_modules/request-promise-core' '~/n8n_dir/node_modules/request-x-ray:/usr/local/lib/node_modules/request-x-ray' '~/n8n_dir/node_modules/safe-buffer:/usr/local/lib/node_modules/safe-buffer' '~/n8n_dir/node_modules/safer-buffer:/usr/local/lib/node_modules/safer-buffer' '~/n8n_dir/node_modules/selectn:/usr/local/lib/node_modules/selectn' '~/n8n_dir/node_modules/setprototypeof:/usr/local/lib/node_modules/setprototypeof' '~/n8n_dir/node_modules/sliced:/usr/local/lib/node_modules/sliced' '~/n8n_dir/node_modules/smart-buffer:/usr/local/lib/node_modules/smart-buffer' '~/n8n_dir/node_modules/socks:/usr/local/lib/node_modules/socks' '~/n8n_dir/node_modules/socks-proxy-agent:/usr/local/lib/node_modules/socks-proxy-agent' '~/n8n_dir/node_modules/source-map:/usr/local/lib/node_modules/source-map' '~/n8n_dir/node_modules/sshpk:/usr/local/lib/node_modules/sshpk' '~/n8n_dir/node_modules/statuses:/usr/local/lib/node_modules/statuses' '~/n8n_dir/node_modules/stealthy-require:/usr/local/lib/node_modules/stealthy-require' '~/n8n_dir/node_modules/stream-to-string:/usr/local/lib/node_modules/stream-to-string' '~/n8n_dir/node_modules/string-format:/usr/local/lib/node_modules/string-format' '~/n8n_dir/node_modules/string_decoder:/usr/local/lib/node_modules/string_decoder' '~/n8n_dir/node_modules/superagent:/usr/local/lib/node_modules/superagent' '~/n8n_dir/node_modules/superagent-proxy:/usr/local/lib/node_modules/superagent-proxy' '~/n8n_dir/node_modules/supports-color:/usr/local/lib/node_modules/supports-color' '~/n8n_dir/node_modules/toidentifier:/usr/local/lib/node_modules/toidentifier' '~/n8n_dir/node_modules/torrent-search-api:/usr/local/lib/node_modules/torrent-search-api' '~/n8n_dir/node_modules/tough-cookie:/usr/local/lib/node_modules/tough-cookie' '~/n8n_dir/node_modules/tslib:/usr/local/lib/node_modules/tslib' '~/n8n_dir/node_modules/tunnel-agent:/usr/local/lib/node_modules/tunnel-agent' '~/n8n_dir/node_modules/tweetnacl:/usr/local/lib/node_modules/tweetnacl' '~/n8n_dir/node_modules/type-check:/usr/local/lib/node_modules/type-check' '~/n8n_dir/node_modules/type-is:/usr/local/lib/node_modules/type-is' '~/n8n_dir/node_modules/universalify:/usr/local/lib/node_modules/universalify' '~/n8n_dir/node_modules/unpipe:/usr/local/lib/node_modules/unpipe' '~/n8n_dir/node_modules/uri-js:/usr/local/lib/node_modules/uri-js' '~/n8n_dir/node_modules/util:/usr/local/lib/node_modules/util' '~/n8n_dir/node_modules/util-deprecate:/usr/local/lib/node_modules/util-deprecate' '~/n8n_dir/node_modules/uuid:/usr/local/lib/node_modules/uuid' '~/n8n_dir/node_modules/vary:/usr/local/lib/node_modules/vary' '~/n8n_dir/node_modules/verror:/usr/local/lib/node_modules/verror' '~/n8n_dir/node_modules/word-wrap:/usr/local/lib/node_modules/word-wrap' '~/n8n_dir/node_modules/wrap-fn:/usr/local/lib/node_modules/wrap-fn' '~/n8n_dir/node_modules/x-ray:/usr/local/lib/node_modules/x-ray' '~/n8n_dir/node_modules/x-ray-crawler:/usr/local/lib/node_modules/x-ray-crawler' '~/n8n_dir/node_modules/x-ray-parse:/usr/local/lib/node_modules/x-ray-parse' '~/n8n_dir/node_modules/x-ray-scraper:/usr/local/lib/node_modules/x-ray-scraper' '~/n8n_dir/node_modules/xregexp:/usr/local/lib/node_modules/xregexp' '~/n8n_dir/node_modules/yallist:/usr/local/lib/node_modules/yallist' '~/n8n_dir/node_modules/yieldly:/usr/local/lib/node_modules/yieldly' image: 'n8nio/n8n:latest-rpi' environment: N8N_BASIC_AUTH_ACTIVE=true N8N_BASIC_AUTH_USER=username N8N_BASIC_AUTH_PASSWORD=your_secret_n8n_password EXECUTIONS_DATA_PRUNE=true EXECUTIONS_DATA_MAX_AGE=120 EXECUTIONS_TIMEOUT=300 EXECUTIONS_TIMEOUT_MAX=500 GENERIC_TIMEZONE=Europe/Berlin NODE_FUNCTION_ALLOW_EXTERNAL=torrent-search-api Once configured this way run n8n and create a new workflow coping the one proposed. Configure workflow Transmission In order to send command to transmission you must validate the Basic Auth. To do so: open the Start download node and edit the Credentials. Perform the same operation choosing the new credentials also in node Start download new token. In this automation we call transmission twice due to a security protocol in transmission system that prevents single click commands to be triggered, performing the request twice bypasses this security mechanism. https://en.wikipedia.org/wiki/Cross-site_request_forgery We use the X-Transmission-Session-Id provided by the first request to authenticate the second request. Telegram In order to make the workflow work as expected you must create a telegram bot and configure the nodes (Torrent not found and Telegram1) to send your message once the workflow is complete. Here's an easy guide to follow https://docs.n8n.io/nodes/n8n-nodes-base.telegram/ In those nodes you also should configure the Chat ID, you may use your telegram username or use a bot to retrieve your id. You may chat with useridinfobot that sends you your id. Ok google automation Since right now we do not have a n8n client for mobile that can trigger automation using google assistant I decided to use an IFTTT automation to trigger the webhook. I connect my IFTTT account with google assistant and pick the trigger. Say a phrase with a text ingredient as in the picture below. And configure the trigger this way. scarica $ -> download $ or metti in download $ -> put in download $ or some other trigger you may want. Then configure your server to trigger the webhook of n8n. Conclusion In conclusion we provide a fully working automation that integrates in n8n a node library and provides an easy trigger to perform a complex operation. Security concern Giving the ability to trigger a download may be problematic for potential unwanted torrent malware download, so you may decide to authenticate the webhook request passing in the body another field with a shared token between the two endpoints. Moreover the torrent-search-api library and its dependencies have some vulnerability that you may want to avoid on your own media-center, this will hopefully be patched soon in a further release of the library. This is just an interesting proof of concept. Quality of the download You may want to introduce another block between torrent search and webhook trigger to search for a movie based on the words detected by google assistant, sometimes it misinterprets something and you may end up downloading potential copyrighted material. Please use this automation only for free and open source movies and music.

This workflow allows you to create, update, and get a person from Copper. Copper node: This node will create a new person in Copper. Copper1 node: This node will update the information of the person that we created using the previous node. Copper2 node: This node will retrieve the information of the person that we created earlier.

This flow monitors a file for changes of its content. If changed, an alert is sent out and you receive it as push, SMS or voice call on SIGNL4. User cases: Log-file monitoring Monitoring of production data Integration with third-party systems via file interface Etc. Sample file "alert-data.json": { "Body": "Alert in building A2.", "Done": false, "eventId": "2518088743722201372_4ee5617b-2731-4d38-8e16-e4148b8fb8a0" } Body: The alert text to be sent. Done: If false this is a new alert. If true this indicated the alert has been closed. eventId: Last SIGNL4 event ID written by SIGNL4. This flow can be easily adapted for database monitoring as well.

Read XLS from file Convert it to JSON Insert it in Postgres

Companion workflow for Redis node docs

Companion workflow for Box node docs

Companion workflow for Edit Image node docs

This workflow automatically tracks changes on specific websites, typically in e-commerce where you want to get information about price changes. Prerequisites Basic knowledge of HTML and JavaScript Nodes Execute Command nodes create a file named kopacky.json in the /data/ folder (Make sure that n8n has the permissions to make changes to the folder in your setup) and clean data. Cron node triggers the workflow at regular intervals (default is 15 minutes), depending on how often you want to crawl URLs of your watchers. Function Item node (Change me) adds the URL watchers. You can put as many URLs (watchers) as you want by changing the JavaScript code in the node. There are four properties for each watcher: |Property|Meaning| |-|-| |slug|Unique identifier for the watcher.| |link|URL of the website where you want to track changes.| |selector|CSS selector of the HTML tag, where your price is placed. You can use browser web tools to get a specific selector.| |currency|Currency code in which your price is set.| Function Item node (Init item) saves all required data from each watcher to the kopacky.json file. HTTP Request node fetches data from the website. HTML Extract node extracts the required information from the webpage. Send Email nodes (NotifyBetterPrice) send you an email when there is an issue with getting the price, and when a better price is available (this could happen if the website is down, your tracking product is not available anymore, or the owner of the website changed the selector or HTML). IF nodes filter the incoming data and route the workflow. Move Binary Data nodes convert the JSON file to binary data. Write Binary File nodes write the product prices in the file. NOTE: This is the first (beta) version of this workflow, so it could have some issues. For example, there is an issue with getting content of those websites, where the owner of the website blocks any calls from unknown foreign services - it's typical protection against crawlers.

Companion workflow for Mailgun node docs

Companion workflow for SIGNL4 node docs. .

This workflow is useful if you have lots of tasks running daily. MySQL node (or the database used to save data shown in n8n - could be Mongo, Postgres, ... -) remove old entries from execution_entity table that contains the history of the executed workflows. If you have multiple tasks executed every minute, 1024 rows will be created every day (60 minutes x 24 hours) per every task. This will increase the table size fastly. SQL query deletes entries older than 30 days taking stoppedAt column as a reference for date calculations. You only have to setup Mysql connection properly and config cron to execute once per day in a low traffic hour, this way

This workflow shows how to download an image file from S3 and pass it on to Textract for text extraction. The workflow uses two nodes: AWS S3**: This node will download a receipt file from S3 AWS Textract**: This node connects to Aamazon's Textract service to extract text from the receipt file

This workflow looks for a Close Date value using REGEX in the IF node. If it finds the correct value, it will pass that value on. If it does not find the correct value, it will generate a value based on the present time plus three weeks. The final result will show up in the NoOps node. You can text this execution by enabling and disabling the Set node when you run the execution.

Companion workflow for AWS SES node docs

Companion workflow for RSS Feed Read node docs

Companion workflow for Read Binary Files node docs

Companion workflow for AWS SNS node docs

Companion workflow for Microsoft Teams node docs

Companion workflow for IF node docs

Companion workflow for MySQL node docs

This easy-to-extend workflow automatically serves a static HTML page when a URL is accessed in a browser. Prerequisites Basic knowledge of HTML Nodes Webhook node triggers the workflow on an incoming request. Respond to Webhook node serves the HTML page in response to the webhook.

Companion workflow for Zoho CRM node docs

Workflow to clean out unwanted email from Gmail. Further information here.

Companion workflow for Freshdesk node documentation

This workflow allows you to create, update, and retrieve a record from FileMaker. FileMaker node: This node will create a new record in FileMaker. FileMaker1 node: This node will add a new field to the record that we created in the previous node. FileMaker2 node: This node will get the information about the record that we created earlier.

This is an example that gets the logo, icon, and information of a company and stores it in Airtbale. You can set the values that you want to store in the Set node. If you want to store the data in a different database (Google Sheet, Postgres, MongoDB, etc.) replace the Airtable node with that node. You can refer to the documentation to learn how to build this workflow from scratch.

This example workflow demonstrates how to handle pagination. This example assumes that the API you are making the request to has pagination, and returns a cursor (something that points to the next page). This example workflow makes a request to the HubSpot API to fetch contacts. You will have to modify the parameters based on your API. Config URL node: This node sets the URL that the HTTP Request node calls. HTTP Request node: This node makes the API call and returns the data from the API. Based on your API, you will have to modify the parameters of the node. NoOp node and Wait node: These nodes help me avoiding any rate limits. If you're API has rate limits, make sure you configure the correct time in the Wait node. Check if pagination: This IF node checks if the API returns any cursor. If the API doesn't return any cursor, it means that there is no data to be fetched, and the node returns false. If the API returns a cursor, it means that there is still some data that needs to be fetched. In this case, the node returns true. Set next URL: This Set node is used to set the URL. In the next cycle, the HTTP Request node makes a call to this URL. Combine all data: This node combines all the data that gets returned by the API calls from the HTTP Request node.

In this video we will create a simple n8n Nodemation workflow to receive date via webhook, alter the data and send it to a webserver. We will be using webhook, function and http request node together. > Youtube Video

This workflow allows you to create, update and get a post using the Discourse node. Discourse node: This node creates a new post under a category. Based on your use-case, you can select a different category. Discourse1 node: This node updates the content of the post. Discourse2 node: This node fetches the node that we created using the Discourse node. Based on your use-case, you can add or remove nodes to connect Discourse to different services.

Companion workflow for AWS Lambda docs

A workflow to automatically create groups of three based on a Mattermost channel and send out invitations to each group member.

This workflow allows extracting data from multiple pages website. The workflow: 1) Starts in a country list at https://www.theswiftcodes.com/browse-by-country/. 2) Loads every country page (https://www.theswiftcodes.com/albania/) 3) Paginates every page in the country page. 4) Extracts data from the country page. 5) Saves data to MongoDB. 6) Paginates through all pages in all countries. It uses getWorkflowStaticData('global') method to recover the next page (saved from the previous page), and it goes ahead with all the pages. There is a first section where the countries list is recovered and extracted. Later, I try to read if a local cache page is available and I recover the cached page from the disk. Finally, I save data to MongoDB, and we paginate all the pages in the country and for all the countries. I have applied a cache system to save a visited page to n8n local disk. If I relaunch workflow, we check if a cache file exists to discard non-required requests to the webpage. If the data present in the website changes, you can apply a Cron node to check the website once per week. Finally, before inserting data in MongoDB, the best way to avoid duplicates is to check that swift_code (the primary value of the collection) doesn't exist. I recommend using a proxy for all requests to avoid IP blocks. A good solution for proxy plus IP rotation is scrapoxy.io. This workflow is perfect for small data requirements. If you need to scrape dynamic data, you can use a Headless browser or any other service. If you want to scrape huge lists of URIs, I recommend using Scrapy + Scrapoxy.

This workflow allows you to create, update, and get a product from WooCommerce.

Objective In industry and production sometimes machine data is available in databases. That might be sensor data like temperature or pressure or just binary information. In this sample flow reads machine data and sends an alert to your SIGNL4 team when the machine is down. When the machine is up again the alert in SIGNL4 will get closed automatically. Setup We simulate the machine data using a Notion table. When we un-check the Up box we simulate a machine-down event. In certain intervals n8n checks the database for down items. If such an item has been found an alert is send using SIGNL4 and the item in Notion is updates (in order not to read it again). Status updates from SIGNL4 (acknowledgement, close, annotation, escalation, etc.) are received via webhook and we update the Notion item accordingly. This is how the alert looks like in the SIGNL4 app. The flow can be easily adapted to other database monitoring scenarios.

This is a workflow that sends daily astronomy picture of the day using the NASA node to a channel on Telegram. Cron node: The Cron node triggers the workflow daily at 8 PM. You can update the time in the Cron node to trigger the workflow at your desired time. NASA node: After the Cron node triggers the workflow, the NASA node fetches the Astronomy Picture of the Day from the NASA API. You can also get the binary file of the image. Toggle Download Image to true to get the file. Telegram node: The Telegram node sends the image to a Telegram channel. If you want to share the image on another platform, you can replace the Telegram node with the node of that platform. For example, if you want to post the image on a channel on Slack, replace the Telegram node with the Slack node. You can learn to build this workflow on the documentation page of the NASA node.

This workflow analyzes the sentiments of the feedback provided by users and sends them to a Mattermost channel. Typeform Trigger node: Whenever a user submits a response to the Typeform, the Typeform Trigger node will trigger the workflow. The node returns the response that the user has submitted in the form. Google Cloud Natural Language node: This node analyses the sentiment of the response the user has provided and gives a score. IF node: The IF node uses the score provided by the Google Cloud Natural Language node and checks if the score is negative (smaller than 0). If the score is negative we get the result as True, otherwise False. Mattermost node: If the score is negative, the IF node returns true and the true branch of the IF node is executed. We connect the Mattermost node with the true branch of the IF node. Whenever the score of the sentiment analysis is negative, the node gets executed and a message is posted on a channel in Mattermost. NoOp: This node here is optional, as the absence of this node won't make a difference to the functioning of the workflow. This workflow can be used by Product Managers to analyze the feedback of the product. The workflow can also be used by HR to analyze employee feedback. You can even use this node for sentiment analysis of Tweets. To perform a sentiment analysis of Tweets, replace the Typeform Trigger node with the Twitter node. Note:* You will need a Trigger node or Start node to start the workflow. Instead of posting a message on Mattermost, you can save the results in a database or a Google Sheet, or Airtable. Replace the Mattermost node with (or add after the Mattermost node) the node of your choice to add the result to your database. You can learn to build this workflow on the documentation page of the Google Cloud Natural Language node.

Companion workflow for Read PDF node docs

This workflow allows you to create a screenshot of a website and send it to a telegram channel.

This workflow updates your Twitter profile banner when you have a new follower. To use this workflow: Configure Header Auth in the Fetch New Followers to connect to your Twitter account. Update the URL of the template image in the Fetch BG node. Create and configure your Twitter OAuth 1.0 credentials in the last HTTP Request node. You can configure the size, and position of the avatar images in the Edit Image nodes. Check out this video to learn how to build it from scratch: How to automatically update your Twitter Profile Banner

Companion workflow for Google Sheets node docs

Do you want to control the DNS domain entries of your customers or servers? This workflow gets DNS information of any domain using the uProc Get Domain DNS records tool. You can use this workflow to check existing DNS records in real-time to ensure that any domain setup is correct. You need to add your credentials (Email and API Key - real -) located at Integration section to n8n. You can replace "Create Domain Item" with any integration containing a domain, like Google Sheets, MySQL, or Zabbix server. Every "uProc" node returns multiple items with the next fields per every item: type: Contains the DNS record type (A, ALIAS, AAAA, CERT, CNAME, MX, NAPTR, NS, PTR, SOA, SRV, TXT, URL). values: Contains the DNS record values.

This workflow allows you to send updates about the position of the ISS every minute to a topic in RabbitMQ

This workflow will allow you to get the latest twitter mentions and send those mentions to Rocket.Chat. To ensure that we don't resend the same tweets as before, we use the Function Node and getWorkflowStaticData() to persist the ids of the tweets which have already been sent and filter those out. This leaves us with only the newest tweets.

This workflow allows you to check for preview for a link and return the preview if it exists. Peekalink node: This node checks if a preview is available for a URL or not. If a preivew is available the node returns true, otherwise false. IF node: The IF node checks the output from the previous node. If the condition is true the node connected to the true branch is executed. If the condition is false the node connected to the false branch is executed. Peekalink1 node: This node will fetch the preview of the URL. Based on your use-case, you can connect the Slack node, Mattermost node etc. to get the response on these platforms. NoOp node: Adding this node here is optional, as the absence of this node won't make a difference to the functioning of the workflow. We've added this as it can sometimes help others with a better understanding of the workflow, visually.

This workflow demonstrates the use of $runIndex expression. It demonstrates how the expression can be used to avoid an infinite loop. The workflow will create 5 Tweets with the content 'Hello from n8n!'. You can use this workflow by replacing the Twitter node with any other node(s) and updating the condition in the IF node.

Every 10 minutes look at your published news in your Tiny tiny RSS public feed and make a toot on your mastodon. You'll need: Your mastondon URL instance Your mastondon access token Your Tiny Tiny RSS public published feed URL

This workflow allows you to find and verify emails and enrich your contact from a Google Sheet with Dropacontact and add them to Lemlist. Start node: The start node exists by default when you create a new workflow. Google Sheet node: This node will list all the records from Google Sheet. Dropcontact node: This node will find the verified email of the contact and enrich it to be able to contact him lemlist node: This node will add a contact to an existing campaign

Check email and create new Nextcloud Deck card from incoming email. Import workflow. Change Nextcloud URL with target board id and stack id. Configure IMAP credential and Nextcloud userid / password. The workflow starts with new IMAP email. This workflow creates new Nextcloud Deck Card with email subject and email body. (Note that all the emails will be marked as read.)

Companion workflow for Rename Keys node docs

Do you want to create a website screenshot without browser extensions? This workflow creates screenshots of any website using the uProc Get Screenshot by URL tool and sends an email with the screenshots. You need to add your credentials (Email and API Key - real -) located at Integration section to n8n. Node "Create Web + Email Item" can be replaced by any other supported service returning Website and Email values, like Google Sheets, Mailchimp, MySQL, or Typeform. Every "uProc" node returns an image URL of the captured website. This generated URL will remain only 24 hours in our server. You can set up the uProc node with several parameters: width: you can choose one of the predefined values to generate the screenshot, or you can set up a custom width you want. full-page: the tool will return a screenshot of the website from top to bottom with the defined width. In our workflow, we generate two screenshots: 1) One screenshot of 640 pixels width. 2) One full-page screenshot of 640 pixels width. Screenshots are downloaded by "Get File" nodes and saved to the screenshots folder in Dropbox. Finally, we use the Amazon SES node to send an HTML email with both screenshots to the specified email. We will receive the next email:

Companion workflow for Invoice Ninja node docs

Gets Google Calendar events for the day (12 hours from execution time), and filters out in-person meetings, Signal meetings, and meetings canceled by Calendly ("transparent").

Do you want to discover company-related information to enrich a signup process? This workflow enriches any company by name using the uProc Get Company by Name tool. This tool combines Google Maps and emails research on the internet to return results. You get no results if the company has no presence on Google Maps. You need to add your credentials (Email and API Key - real -) located at Integration section to n8n. You can replace node "Create Company Item" with any other supported service returning Company names and countries, like Hubspot, Google Sheets, MySQL, or Typeform. You can set up the uProc node with several parameters: country: the country name you want to use. name: the name of the company you need to locate. Every "uProc" node returns the next fields per every located company: name: Contains the company's given name. email: Contains the company's given email. cif: Contains company's cif number. address: Contains company's formatted address. city: Contains the city location of the company. state: Contains province location of the company. county: Contains state location of the company country: Contains country location of the company zipcode: Contains zipcode code of the company phone: Contains phone number of the company website: Contains website of the company latitude: Contains latitude of the company longitude: Contains longitude of the company Next, you can save results to a CRM or Google Sheets, and prepare returned email or phone to launch an email or telemarketing campaign.

At the end, add the service you need, for example Telegram ++You can only see the result when you run workflow.++ *Based on these answers: Latest RSS Feed -> Rocket.Chat for get only new post Rss to Twitter with Image for get image*

This workflow handles the incoming issues and issues comments for your open-source project. If a contributor is interested, the workflow will assign them the issue. Note: For organizations, you will have to use the Webhook node to trigger the workflow. You will also have to use the HTTP Request node instead of the regular GitHub node. You can learn more about this workflow by reading the blog on https://n8n.io/blog.

Companion workflow for Read Binary File node docs

This workflow collects tweets (100 but adjustable) and add them to AirTable. Starting the 2nd execution, the workflow will add only the new tweets (based on Tweet ID), so there won't be any tweet duplications

Automatically import the name and email in Google Sheet to the mautic contact each time the lead is filled to the sheet.

Read data from Postgres Converting it to XLS Save it to disk

Do you want to know where a web visitor lives? This workflow enriches any lead by IP address using the uProc.io Location By IP address tool and sends an email in Spanish or English depending on the detected web visitor country. You need to add your credentials (Email and API Key - real -) located at Integration section to n8n. Node "Create IP and Email Item" can be replaced by any other supported service with IP and Email values, like Mailchimp, Calendly, or MySQL. The "uProc" node returns the location of the provided IP address. "If" node checks if the web visitor country code belongs to Spain (ES Isocode). If positive, we use the Spanish language in our emails. Otherwise, we will use the English language in our communications. Depending on the detected country code, we use the Amazon SES node to send the customized email adapted to the right language.

Note: This workflow uses the internal API which is not official. This workflow might break in the future. The workflow executes every night at 23:59. You can configure a different time bin the Cron node. Configure the GitHub nodes with your username, repo name, and the file path. In the HTTP Request nodes (making a request to localhost:5678), create Basic Auth credentials with your n8n instance username and password.

This workflow allows you to create, update and get a task in Microsoft To Do. Microsoft To Do node: This node will create a task with the importance High in the Tasks list. You can select a different list as well as the importance level. Microsoft To Do1 node: This node will update the status of the task that we created in the previous node. Microsoft To Do2 node: This node will get the task that we created earlier.

Companion workflow for CrateDB node docs

Companion workflow for Hacker News node docs

This workflow allows you to send daily weather updates via a push notification using the Pushcut node.

This workflow demonstrates the use of the Split In Batches node and the Wait node to avoid API rate limits. Customer Datastore node: The workflow fetches data from the Customer Datastore node. Based on your use case, replace it with a relevant node. Split In Batches node: This node splits the items into a single item. Based on the API limit, you can configure the Batch Size. HTTP Request node: This node makes API calls to a placeholder URL. If the Split In Batches node returns 5 items, the HTTP Request node will make 5 different API calls. Wait node: This node will pause the workflow for the time you specify. On resume, the Split In Batches node gets executed node, and the next batch is processed. Replace Me (NoOp node): This node is optional. If you want to continue your workflow and process the items, replace this node with the corresponding node(s).

Webhook to report through Mailgun phishing websites to Steam and CloudFlare (if the domain is on CloudFlare) You have to set the Credentials for webhook and Mailgun. You have to set the email from for Mailgun. This assumes it is running in n8n's Docker image where bind-tools is not readily available but installable.

Companion workflow for Onedrive node docs

Companion workflow for Switch node docs

This workflow allows you to check the To-Do list on Notion and send a message on Slack. Prerequisites Create a Notion page similar to this page. Create credentials for Notion by following the instructions mentioned in the documentation. Follow the steps mentioned in the documentation to create credentials for Slack. Cron node: This node triggers the workflow every day. Notion node: This node fetches all the tasks from Notion. IF node: This node checks if the task is assigned to a particular user. Create a Direct Message: This node will create a direct message channel with the user. Send a Direct Message: This node will send the to-do lists in the direct message. NoOp: This node is connected to the false output of the IF node. If the condition is false, no further action will be taken.

This workflow demonstrates how to merge data for different executions. The Merge Data Function node fetches the data from different executions of the RSS Feed Read node and merges them under a single object. Note: If you want to process the items that get merged, you will have to convert the single item into n8n understandable multiple items.

Store the data received from the CocktailDB API in JSON

How to take the path of a local Excel file and read its contents into n8n.

Who this is for Every who's interested in seeing how merging items works in n8n What this workflow does This workflow generates two sets of sample data: one with names and corresponding languages, and another with greetings and corresponding languages using the Code node. It then merges these two datasets using the Merge node based on the common “language” field, combining all entries that share the same language.

This workflow demonstrates the use of the $item(index) method. This method is useful when you want to reference an item at a particular index. This example workflow makes POST HTTP requests to a dummy URL. Set node: This node is used to set the API key that will be used in the workflow later. This node returns a single item. This node can be replaced with other nodes, based on the use case. Customer Datastore node: This node returns the data of customers that will be sent in the body of the HTTP request. This node returns 5 items. This node can be replaced with other nodes, based on the use case. HTTP Request node: This node uses the information from both the Set node and the Customer Datastore node. Since, the node will run 5 times, once for each item of the Customer Datastore node, you need to reference the API Key 5 times. However, the Set node returns the API Key only once. Using the expression {{ $item(0).$node["Set"].json["apiKey"] }} you tell n8n to use the same API Key for all the 5 requests.

Companion workflow for FTP node docs

Gather leads into Mailchimp, automate marketing, and sales process.

This workflow allows you to receive messages from a queue via RabbitMQ and send an SMS.

This workflow allows you to send a message in a Telegram chat via bash-dash. Example usage: - telegram I'll be late If you want to send a predefined message without typing it in the command line, you can replace the Text Expression in the Telegram node with a specific message. In this case, the dash command - telegram will send the predefined message to the chat. Example bash-dash config: commands[telegram]="http://localhost:5678/webhook/telegram"

This worflow let us know main stat on our Instagram : this is the first i share with community as i am a beginner :) Every morning i know how many follower we have, how many posts have been made. I use a fantastic tool which is : https://socialblade.com and also : https://martechwithme.com/monitoring-youtube-channels-subscribers-with-google-sheets/ to send them to Google Sheets Hope this could help :) This can be improved for sure, so i will be very pleased to have your comments thanks French version : :) * Ce schéma permet d'avoir les statistiques de notre Instagram : combien de followers et combien de posts ont été réalisés. Ces données sont publiées sur MAttermost. J'utilise un outil génial pour récupérer les données de instagram : https://socialblade.com puis https://martechwithme.com/monitoring-youtube-channels-subscribers-with-google-sheets/ pour les récupérer sur Google Sheets

Companion workflow for GraphQL node docs

This workflow demonstrates the use of the HTTP Request node to upload binary files for form-data-multipart type. This example workflow updates the Twitter banner. HTTP Request node: This node fetches an image from Unsplash. Replace this node with any other node to fetch the image file. HTTP Request1 node: This node uploads the Twitter Profile Banner. The Twitter API requires OAuth 1.0 authentication. Follow the Twitter documentation to learn how to configure the authentication.

Companion workflow for Send Email node docs

Extract data from a webpage (Ycombinator news page) and create a nice list using itemList node. It seems that current version in n8n (0.141.1) requires to extract each variable one by one. Hopefully in a futute it will be possible to create the table using just one itemList node. Another nice feature of the workflow is an automatically generated file name with the resulting table. Check out the "fileName" option of the Spreadsheet File node: "Ycombinator_news_{{new Date().toISOString().split('T', 1)[0]}}.{{$parameter[\"fileFormat\"]}}" The resulting table is saved as .xls file and delivered via email

Executes schedule routines, and triggers alerts via telegram

This workflow allows you to create, update and get a contact using the SendGrid node. Based on your use-case, you may want to add contacts to SendGrid from a different email service or from your CRM. Fetch the information of the contact using the node of that service. Connect the node with the SendGrid node and reference the value from the node.

Companion workflow for Date & Time node docs

Companion workflow for Crypto node docs

Do you want to avoid bounces in your Email Marketing campaigns? This workflow verifies emails using the uProc.io email verifier. You need to add your credentials (Email and API Key - real -) located at Integration section to n8n. Node "Create Email Item" can be replaced by any other supported service with email value, like Mailchimp, Calendly, MySQL, or Typeform. The "uProc" node returns a status per checked email (deliverable, undeliverable, spamtrap, softbounce,...). "If" node checks if "deliverable" status exists. If value is not present, you can mark email as invalid to discard bounces. If "deliverable" status is present, you can use email in your Email Marketing campaigns. If you need to know detailed indicators of any email, you can use the tool "Communication" > "Check Email Exists (Extended)" to get advanced information.

This workflow takes a text file as input. It pulls the information from the text file and used it as a parameter to execute a command for each text line. This workflow references a file /home/n8n/filelist.txt in the Read Binary File node which will need to be changed to work properly. You can also edit the Execute Command node to modify what happens for each of these lines of text. Note: This workflow requires the Execute Command node which is only available on the on-premise version of n8n.

This workflow allows you to create an event file and send it as an attachment via email. iCalendar node: This node will create an event file. Send Email: This node will send the event file as an attachment.

Using Typeform to push task requests to an n8n webhook that then categorizes the request and assigns it in ClickUp accordingly. In order to get his workflow working for yourself, you will need: ClickUp account Typeform account Credentials for these services ClickUp configured with appropriate lists Typeform setup with options that correspond with ClickUp lists. You may modify this workflow to meet your specific needs and configuration. This is a very simple version of this workflow and you can make it as complicated as you wish to meet your requirements.

This workflow allows you to get all the slides from a presentation and get thumbnails of pages. Google Slides node: This Google Slides node will get all the slides from a presentation. Google Slides1 node: This node will return thumbnails of the pages that were returned by the previous node. Based on your use case, to upload the thumbnails to Dropbox, Google Drive, etc, you can use the respective nodes.

Send an email via Gmail when a workflow error occurs. The email subject line will contain the workflow name; the message body will contain the following information: Workflow name Error message Last node executed Execution URL Stacktrace Error workflows do not need to be activated in order to be used, but they do need to be selected in the Settings menu of whatever workflows you want to use it. To use this workflow, you'll need to: Create and select credentials in the Gmail node Choose the email recipient(s) in the Gmail node Save and select the created workflow as the "Error Workflow" in the Settings menu of whatever workflows you want to email on error

Companion workflow for monday.com node docs

This workflow allows you to compress binary files to zip format. HTTP Request node: The workflow uses the HTTP Request node to fetch files from the internet. If you want to fetch files from your local machine, replace it with the Read Binary File or Read Binary Files node. Compression node: The Compression node compresses the file into a zip. If you want to compress the files to gzip, then select the gzip format instead. Based on your use-case, you may want to write the files to your disk or upload it to Google Drive or Box. If you want to write the compressed file to your disk, replace the Dropbox node with the Write Binary File node, or if you want to upload the file to a different service, use the respective node.

A workflow to automatically create groups of three based on a Matrix room and send out invitations to each group member.

This workflow goes through the teachable webhook request types and adds a user, updates him and tags him with #unsubscribe or removes the #unsubscribe tag. It also tags the user with the tag of the name of the course. Enjoy!

Do you want to avoid communication problems when launching phone calls? This workflow verifies landline and mobile phone numbers using the uProc Get Parsed and validated phone tool with worldwide coverage. You need to add your credentials (Email and API Key - real -) located at Integration section to n8n. Node "Create Phone Item" can be replaced by any other supported service with phone values, like databases (MySQL, Postgres), or Typeform. The "uProc" node returns the next fields per every parsed and validated phone number: country_prefix: contains the international country phone prefix number. country_code: contains the 2-digit ISO country code of the phone number. local_number: contains the phone number without international prefix. formatted: contains a formatted version of the phone number, according to country detected. valid: detects if the phone number has a valid format and prefix. type: the phone number type (mobile, landline, or something else). "If" node checks if the phone number is valid. You can use the result to mark invalid phone numbers in your database or discard them from future telemarketing campaigns.

Companion workflow for Execute Workflow node docs

A goal for 2022 is to write 1 thing I do each day. This workflow will automatically remind you on telegram to write something you did yesterday, optionally you can enable the second workflow which will allow you to reply to the message and have it recorded in a google sheet. Note: Make sure to configure your Telegram credentials!

Companion workflow for Wordpress node docs

Companion workflow for Hunter node docs

This workflow allows you to create a post a Reddit and add a comment on the post. Reddit node: This node creates a post in the subreddit n8n. If you want to create a post in a different subreddit, enter the name of that subreddit instead. Reddit1 node: This node gets the post that we created previously. It returns the data like the post ID, title of the post, content of the post, etc. Reddit2 node: This node adds a comment on the post that we created earlier.

This workflow allows you to get the price of BTC in EUR and send an SMS when the price is larger than EUR 9000

Temporary solution using the undocumented REST API for backups with file versioning (Nextcloud)

Receive a new book recommendation each Friday from Open Library. You can select the subject from thousands of options and have a new recommendation delivered to you automatically.

This workflow allows you to add, commit, and push changes to a git repository. Git node: This node will add the README.md file to the staging area. If you want to add a different file, enter the path of that file instead. Git1 node: This node will commit all the changes that were added to the staging area by the previous node. Git2 node: This node will return the commit logs of your repository. Git3 node: This node will push the changes to a cloud repository.

This is an example that creates a channel, adds a member, and posts a message to the channel on Mattermost. You can refer to the documentation to learn how to build this workflow from scratch.

Companion workflow for Twitter node docs.

A goal for 2022 is to write 1 thing I do each day. Combined with this workflow you will get daily messages via Telegram and when you reply to them they will be saved in a Google Sheet. Note: Make sure to configure your Telegram and Google Sheet credentials! You will also need to modify the functions to have your Telegram username and bot name.*

In this workflow, we'll automate the export of all the submissions which have a total score greater than 15 for a final review on Trello. The workflow will also generate social media assets for the organizers and add them to the Trello card.

Temporary solution using the undocumented REST API for backups using Google drive. Please note that there are issues with this workflow. It does not support versioning, so please know that it will create multiple copies of the workflows so if you run this daily it will make the folder grow quickly. Once I figure out how to version in Gdrive I'll update it here.

Companion workflow for HTTP Request node docs

This workflow demonstrates how to use currentRunIndex to get the running index. Function node: This node generates mock data for the workflow. Replace it with the node whose data you want to split into batches. SplitInBatches node: This node splits the data with the batch size equal to 1. Based on your use-case, set the value of the Batch Size. IF node: This node checks the running index. If the running index equals 5 the node returns true and breaks the loop. The node uses the expression {{$node["SplitInBatches"].context["currentRunIndex"];}}, which returns the running index. Set node: This node prints a message Loop Ended. Based on your use-case, connect the false output of the IF node to the input of the node you want to execute if the condition is false.

Companion workflow for Dropbox node docs

This workflow allows you to send a message on Mattermost when an order is created in WooCommerce.

Companion workflow for Help Scout node docs

This workflow allows you to store the output of a phantom in Airtable. This workflow uses the LinkedIn Profile Scraper phantom. Configure and launch this phantom from your Phantombuster account before executing the workflow. The workflow uses the following node: Phantombuster node: The Phantombuster node gets the output of the LinkedIn Profile Scraper phantom that ran earlier. You can select a different phantom from the Agent dropdown list, but make sure to configure the workflow accordingly. Set node: Using the Set node we are setting the data for the workflow. The data that we set in this node will be used by the next nodes in the workflow. Based on your use-case, you can modify the node. Airtable node: The Airtable node allows us to append the data in an Airtable. Based on your use-case you can replace this node with any other node. Instead of storing the data in Airtable, you can store the data in a database or Google Sheet, or send it as an email using the Send Email node, Gmail node, or Microsoft Outlook node.

Companion workflow for LinkedIn node docs

This is the workflow that I presented at the April 9, 2021 n8n Meetup. This workflow uses Baserow.io to store registration information collected using n8n as both the web server and the data processor. To get this workflow working properly, you will either need to run it on n8n.cloud or using the on premise version with people having the ability to connect to n8n externally. You will need an account on Baserow.io to store your subscriptions with a table with the following fields: GUID First Name Last Name Email Confirmed

This workflow allows you to automatically create new members in MailChimp based on entries in an Airtable base.

Get your contributors GitHub information with a slash command in your Slack Workspace.

Companion workflow for Xero node docs

In this video I will show you the workflow canvas and how to use nodes by building your first simple workflow. > Videotuturial on Youtube

Companion workflow for Spreadsheet File node docs

This creates a git backup of the workflows and credentials. It uses the n8n export command with git diff, so you can run as many times as you want, but only when there are changes they will create a commit. Setup You need some access to the server. Create a repository in some remote place to host your project, like Github, Gitlab, or your favorite private repo. Clone the repository in the server in a place that the n8n has access. In the example, it's the ., and the repository name is repo. Change it in the commands and in the workflow commands (you can set it as a variable in the wokflow). Checkout to another branch if you won't use the master one. cd . git clone repository Or you could git init and then add the remote (git remote add origin YOUR_REPO_URL), whatever pleases you more. As the server, check if everything is ok for beeing able to commit. Very likely you'll need to setup the user email and name. Try to create a commit, and push it to upstream, and everything you need (like config a user to comit) will appear in way. I strong suggest testing with exporting the commands to garantee it will work too. cd ./repo git commit -c "Initial commmit" --allow-empty -u is the same as --set-upstream git push -u origin master Testing to push to upstream with the first exported data npx n8n export:workflow --backup --output ./repo/workflows/ npx n8n export:credentials --backup --output repo/credentials/ cd ./repo git add . git commit -c "manual backup: first export" git push After that, if everything is ok, the workflow should work just fine. Adjustments Adjust the path in used in the workflow. See the the git -C PATH command is the same as cd PATH; git .... Also, adjust the cron to run as you need. As I said in the beginning, you can run it even for every minute, but it will create commits only when there are changes. Credentials encryption The default for exporting the credentials is to do them encrypted. You can add the flag --decrypted to the n8n export:credentials command if you need to save them in plain. But as general rule, it's better to save the encryption key, that you only need to do that once, and them export it safely encrypted.

Companion workflow for MongoDB node docs

Export WordPress Posts to Spreadsheet and download .csv to your local machine.

Do you want to check the SSL certificate expiration dates of your customers or servers? This workflow gets information of an SSL certificate using the uProc Get Certificate by domain tool. You can use this workflow to query SSL certificates in bulk and send alarms when any certificate has expired. You need to add your credentials (Email and API Key - real -) located at Integration section to n8n. You can replace "Create Domain Item" with any integration containing a domain, like Google Sheets, MySQL, or Zabbix server. Every "uProc" node returns the next fields per every analyzed SSL certificate: issuer: Contains the issuer. provider: Contains the provider. valid_from: Contains the start date. valid_to: Contains the end date. serial_number: Contains the serial number. type: Contains if supports one or multiple domains. protocol: Contains the protocol. valid: Contains its validity. domains: Contains all domains and subdomains supported. An "IF" node detects if the certificate is valid or not. Finally, the workflow sends an alarm to a Telegram channel to know if the certificate has expired.

Transforms XML data to JSON honoring XML attributes by putting them in a separate key:

Companion workflow for Facebook node docs

This workflow allows you to create transcription jobs for all your audio and video files stored in AWS S3. AWS S3: This node will retrieve all the files from an S3 bucket you specify. AWS Transcribe: This node will create a transcription job for the files that get returned by the previous node.

Companion workflow for Mautic node docs

Companion workflow for Keap node docs

Add an event to Google Calendar

Companion workflow for Mandrill node docs

Filters articles based on keywords, checks against MongoDB for unique links, then sends results to different webhooks

This workflow appends, lookup, updates, and reads data from a Google Sheet spreadsheet. Set node: The Set node is used to generate data that we want to add to Google Sheets. Depending on your use-case you might have data coming from a different source. For example, you might be fetching data from a WebHook call. Add the node that will fetch the data that you want to add to the Google Sheet. Use can then use the Set node to set the data that you want to add to the Google Sheets. Google Sheets node: This node will add the data from the Set node in a new row to the Google Sheet. You will have to enter the Spreadsheet ID and the Range to specify which sheet you want to add the data to. Google Sheets1 node: This node looks for a specific value in the Google Sheet and returns all the rows that contain the value. In this example, we are looking for the value Berlin in our Google Sheet. If you want to look for a different value, enter that value in the Lookup Value field, and specify the column in the Lookup Column field. Set1 node: The Set node sets the value of the rent by $100 for the houses in Berlin. We pass this new data to the next nodes in the workflow. Google Sheets2 node: This node will update the rent for the houses in Berlin with the new rent set in the previous node. We are mapping the rows with their ID. Depending on your use-case, you might want to map the values with a different column. To set this enter the column name in the Key field. Google Sheets3 node: This node returns the information from the Google Sheet. You can specify the columns that should get returned in the Range field. Currently, the node fetches the data for columns A to D. To fetch the data only for columns A to C set the range to A:C. This workflow can be broken down into different workflows each with its own use case. For example, we can have a workflow that appends new data to a Google Sheet, and another workflow that lookups for a certain value and returns that value. You can learn to build this workflow on the documentation page of the Google Sheets node.

> This has been updated to support the Query feature added to the Zendesk node in 0.144.0 This workflow will post all New and Open tickets without an agent assigned to a Slack channel on a schedule. The function node is used in this example to merge multiple inputs into one output message which is then used as the Slack message. The output in Slack will be similar to the below message, The "TICKET_ID" will be a link to the ticket. > Unassigned Tickets TICKET_ID [STATUS] - TICKET_SUBJECT Usage Update the Cron schedule, The default value is 16:30 daily. Update the Credentials in the Zendesk nodes Update the Credentials and Channel in the Slack Node Grab a coffee and enjoy! Zendesk Query In the Zendesk node we are using the query assignee:none status<pending this returns all New and Open tickets with no assignee allowing us to remove the extra nodes.

This workflow creates an automatic self-hosted URL shortener. It consists of three sub-workflows: Short URL creation for extracting the provided long URL, generating an ID, and saving the record in the database. It returns a short link as a result. Redirection for extracting the ID value, validating the existence of its correspondent record in the database, and returning a redirection page after updating the visits (click) count. Dashboard for calculating simple statistics about the saved record and displaying them on a dashboard. Read more about this use case and how to set up the workflow in the blog post How to build a low-code, self-hosted URL shortener in 3 steps. Prerequisites A local proxy set up that redirects the n8n.ly domain to your n8n instance An Airtable account and credentials Basic knowledge of JavaScript, HTML, and CSS Nodes Webhook nodes trigger the sub-workflows on calls to a specified link. IF nodes route the workflows based on specified query parameters. Set nodes set the required values returned by the previous nodes (id, longUrl, and shortUrl). Airtable nodes retrieve records (values) from or append records to the database. Function node calculates statistics on link clicks to be displayed on the dashboard, as well as its design. Crypto node generates a SHA256 hash.

Companion workflow for Google Drive node docs

Allow your friends to get updates when you do not meet your workout goals so that they can help you get to where you need to be! Monitors your Strava account and sends an email to three accountability partners each day if you have not had enough activity so that they can reach out to you with some encouragement. Make sure that you configure the Accountability Settings to meet your needs along with the Strava and Send Email credentials.

Companion workflow for Cockpit node docs

Companion workflow for SSE Trigger node docs

An example workflow for a multilanguage Telegram bot. It allows adding many new languages to the bot without editing the workflow. Important note! Due to some breaking API changes in NocoDB some of its node options are not working at the moment (MAY 2022). These two nodes were replaced by HTTP request nodes. Functionality is still the same.

This workflow shows a no code approach to creating Salesforce accounts and contacts based on data coming from Google Sheets. To run the workflow: Make sure you have both Google Sheets and Salesforce authenticated with n8n. Have a Google Sheet with contacts and their account names ready, copy the respective sheet ID from the URL: Add the sheet ID to the Google Sheet node of the workflow: Hit Execute Workflow Here is how it works: The workflow first searches for existing Salesforce accounts by name. It then branches out depending on whether the account already exists in Salesforce or not. If an account does not exist yet, it will be created. The data is then normalised before both branches converge again. Finally the contacts are created or updated as needed in Salesforce.

This workflow builds a valid RSS feed (which is an XML feed under the hood) for ARD Audiothek podcasts. This allows you to subscribe to such podcasts using your favourite podcatcher without using the ARD Audiothek app. The example builds a feed for Kalk & Welk, but the workflow can be easily adjusted by providing another podcast URL on the Get overview page HTTP Request node. To subscribe to the feed, active your n8n workflow and then use the Production URL from the intitial Feed Webhook node in your podcatcher. I've tested the resulting feed using Pocket Casts... ...and Miniflux: When using Miniflux, you can add your feed via this page to your account. Make sure you select Private when doing so to avoid sharing your n8n instance with the world. The resulting feed passes the W3C Feed Validation Service: The workflow can also be used as a foundation to free other podcasts from propriertary big media platforms, though not all of them will be as simple to deal with as the ARD Audiothek.

This workflow shows a low code approach to parsing an XML file and storing its contents in a Google Sheets spreadsheet. To run the workflow: Make sure you are running n8n 0.197 or newer Have n8n authenticated with Google Sheets How it's done: This workflow first downloads an example file using the HTTP Request node and reads this file using the XML node. It then runs the Item Lists node to split out the individual food items from the example file. It then splits up the workflow into a separate branch creating a new spreadsheet file using the Google Sheets node. To read the column names we're using the Object.keys() method inside a Set node. Once the spreadsheet is created (the workflow waits for this using the Merge node), the data is appended to the newly created sheet (again using the Google Sheets node).

This workflow illustrates how HTML reports can be created using Markdown Node. An example data consists of a Time Sheet table for 2 persons. Based on this table a markdown document is generated using Function Node. After that a final HTML report is created and is saved as binary file. This file can be either downloaded directly from the workflow canvas or sent as an email attachement.