HTTP Request and NocoDB integration

Save yourself the work of writing custom integrations for HTTP Request and NocoDB and use n8n instead. Build adaptable and scalable Development, Core Nodes, and Data & Storage workflows that work with your technology stack. All within a building experience you will love.

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How to connect HTTP Request and NocoDB

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

HTTP Request and NocoDB integration: Create a new workflow and add the first step

Step 2: Add and configure HTTP Request and NocoDB nodes

You can find HTTP Request and NocoDB in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure HTTP Request and NocoDB nodes one by one: input data on the left, parameters in the middle, and output data on the right.

HTTP Request and NocoDB integration: Add and configure HTTP Request and NocoDB nodes

Step 3: Connect HTTP Request and NocoDB

A connection establishes a link between HTTP Request and NocoDB (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

HTTP Request and NocoDB integration: Connect HTTP Request and NocoDB

Step 4: Customize and extend your HTTP Request and NocoDB integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect HTTP Request and NocoDB with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

HTTP Request and NocoDB integration: Customize and extend your HTTP Request and NocoDB integration

Step 5: Test and activate your HTTP Request and NocoDB workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from HTTP Request to NocoDB or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

HTTP Request and NocoDB integration: Test and activate your HTTP Request and NocoDB workflow

Scrape and summarize posts of a news site without RSS feed using AI and save them to a NocoDB

The News Site from Colt, a telecom company, does not offer an RSS feed, therefore web scraping is the choice to extract and process the news.

The goal is to get only the newest posts, a summary of each post and their respective (technical) keywords.

Note that the news site offers the links to each news post, but not the individual news. We collect first the links and dates of each post before extracting the newest ones.

The result is sent to a SQL database, in this case a NocoDB database.

This process happens each week thru a cron job.

Requirements:

Basic understanding of CSS selectors and how to get them via browser (usually: right click → inspect)
ChatGPT API account - normal account is not sufficient
A NocoDB database - of course you may choose any type of output target

Assumptions:

CSS selectors work on the news site
The post has a date with own CSS selector - meaning date is not part of the news content

"Warnings"

Not every site likes to be scraped, especially not in high frequency
Each website is structured in different ways, the workflow may then need several adaptations.

Nodes used in this workflow

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Popular HTTP Request and NocoDB workflows

Scrape and summarize posts of a news site without RSS feed using AI and save them to a NocoDB

The News Site from Colt, a telecom company, does not offer an RSS feed, therefore web scraping is the choice to extract and process the news. The goal is to get only the newest posts, a summary of each post and their respective (technical) keywords. Note that the news site offers the links to each news post, but not the individual news. We collect first the links and dates of each post before extracting the newest ones. The result is sent to a SQL database, in this case a NocoDB database. This process happens each week thru a cron job. Requirements: Basic understanding of CSS selectors and how to get them via browser (usually: right click → inspect) ChatGPT API account - normal account is not sufficient A NocoDB database - of course you may choose any type of output target Assumptions: CSS selectors work on the news site The post has a date with own CSS selector - meaning date is not part of the news content "Warnings" Not every site likes to be scraped, especially not in high frequency Each website is structured in different ways, the workflow may then need several adaptations.

Multilanguage Telegram bot

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.

Create LinkedIn Contributions with AI and Notify Users On Slack

This workflow automates the process of gathering LinkedIn advice articles, extracting their content, and generating unique contributions for each article using an AI model. The contributions are then posted to a Slack channel and a NocoDB database for record-keeping. The workflow is triggered weekly to ensure new articles are continuously collected and responded to. Who is this for? This workflow is designed for professionals, marketers, and content creators looking to boost their LinkedIn presence by regularly engaging with LinkedIn advice articles. It’s especially useful for those who want to be seen as a "thought leader" or "top voice" in their niche by contributing relevant and unique advice to trending topics. What problem is this workflow solving? Manually searching for relevant LinkedIn articles, reading through them, and crafting thoughtful contributions can be time-consuming. This workflow solves that by automating the process of finding new articles, extracting key content, and generating AI-powered contributions. It helps users stay consistently active on LinkedIn, contributing value to trending discussions. What this workflow does Triggers Weekly: The workflow is set to run every Monday at 8:00 AM. Search Google for LinkedIn Advice Articles: Uses a predefined Google search URL to find the latest LinkedIn advice articles based on the user's area of expertise. Extract LinkedIn Article Links: A code node extracts all LinkedIn advice article links from the search results. Retrieve Article Content: For each article link, the workflow retrieves the HTML content and extracts the article title, topics, and existing contributions. Generate AI-Powered Contributions: The workflow sends the extracted article content to an AI model, which generates unique, helpful advice for each topic within the article. Post to Slack & NocoDB: The AI-generated contributions, along with the article links, are posted to a designated Slack channel and stored in a NocoDB database for future reference. Setup Google Search URL: Update the Google search URL with the relevant LinkedIn advice query for your field (e.g., "site:linkedin.com/advice 'marketing automation'"). Slack Integration: Connect your Slack account and specify the Slack channel where you want the contributions to be posted. NocoDB Integration: Set up your NocoDB project to store the generated contributions along with the article titles and links. How to customize this workflow Change Search Terms**: Modify the Google search URL to focus on a different LinkedIn topic or expertise area. Adjust Trigger Frequency**: The workflow is set to run weekly, but you can adjust the frequency by changing the schedule trigger. Enhance Contribution Quality**: Customize the AI model's prompt to generate contributions that align with your brand voice or content strategy. Workflow Summary This workflow helps users maintain a consistent presence on LinkedIn by automating the discovery of new advice articles and generating unique contributions using AI. It is ideal for professionals who want to engage with LinkedIn content regularly without spending too much time manually searching and drafting responses.

Build your own HTTP Request and NocoDB integration

Create custom HTTP Request and NocoDB workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

NocoDB supported actions

Create

Create a row

Delete

Delete a row

Get

Retrieve a row

Get Many

Retrieve many rows

Update

Update a row

HTTP Request and NocoDB integration details

HTTP Request node docs + examples

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Related categories

Development

NocoDB is an Airtable alternative. It is an open-source No-Code platform that works by connecting to any relational database and transforming them into a spreadsheet interface. It is used by over 2000 organizations worldwide.

NocoDB node docs + examples

NocoDB credential docs

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Related categories

Data & Storage

Other integrations with NocoDB