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HTTP Request and MongoDB integration
Save yourself the work of writing custom integrations for HTTP Request and MongoDB 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.
How to connect HTTP Request and MongoDB
- 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.
Step 2: Add and configure HTTP Request and MongoDB nodes
You can find HTTP Request and MongoDB 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 MongoDB nodes one by one: input data on the left, parameters in the middle, and output data on the right.
Step 3: Connect HTTP Request and MongoDB
A connection establishes a link between HTTP Request and MongoDB (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.
Step 4: Customize and extend your HTTP Request and MongoDB 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 MongoDB with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.
Step 5: Test and activate your HTTP Request and MongoDB workflow
Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from HTTP Request to MongoDB 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.
Popular HTTP Request and MongoDB workflows
+5
Scrape and store data from multiple website pages
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.
+4
Send RSS feed data to webhook
Filters articles based on keywords, checks against MongoDB for unique links, then sends results to different webhooks
Build your own HTTP Request and MongoDB integration
Create custom HTTP Request and MongoDB 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.
HTTP Request and MongoDB integration details
Other integrations with MongoDB
FAQs
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Can I use HTTP Request’s API with n8n?
Can I use MongoDB’s API with n8n?
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