MongoDB and Firecrawl Integration

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Automate web data extraction by connecting Firecrawl to MongoDB. Latenode's visual editor and JavaScript nodes simplify data transformation and ensure seamless storage, while affordable pricing scales with your needs.

Swap Apps

MongoDB

Firecrawl

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect MongoDB and Firecrawl

Create a New Scenario to Connect MongoDB and Firecrawl

In the workspace, click the β€œCreate New Scenario” button.

Add the First Step

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a MongoDB, triggered by another scenario, or executed manually (for testing purposes). In most cases, MongoDB or Firecrawl will be your first step. To do this, click "Choose an app," find MongoDB or Firecrawl, and select the appropriate trigger to start the scenario.

Add the MongoDB Node

Select the MongoDB node from the app selection panel on the right.

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MongoDB

Configure the MongoDB

Click on the MongoDB node to configure it. You can modify the MongoDB URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Run node once

Add the Firecrawl Node

Next, click the plus (+) icon on the MongoDB node, select Firecrawl from the list of available apps, and choose the action you need from the list of nodes within Firecrawl.

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Authenticate Firecrawl

Now, click the Firecrawl node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Firecrawl settings. Authentication allows you to use Firecrawl through Latenode.

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Configure the MongoDB and Firecrawl Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Firecrawl Oauth 2.0

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The action ID

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Run node once

Set Up the MongoDB and Firecrawl Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring MongoDB, Firecrawl, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.

Test the Scenario

Run the scenario by clicking β€œRun once” and triggering an event to check if the MongoDB and Firecrawl integration works as expected. Depending on your setup, data should flow between MongoDB and Firecrawl (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect MongoDB and Firecrawl

Firecrawl + MongoDB + Slack: When Firecrawl scrapes a website, the scraped data is inserted into MongoDB. If specific content changes are detected via MongoDB search, a Slack message is sent to alert the team.

Firecrawl + MongoDB + Google Sheets: Firecrawl crawls a website and the data is stored in MongoDB. The data from MongoDB is then searched and key metrics are extracted and added as a new row in a Google Sheet.

MongoDB and Firecrawl integration alternatives

About MongoDB

Use MongoDB in Latenode to automate data storage and retrieval. Aggregate data from multiple sources, then store it in MongoDB for analysis or reporting. Latenode lets you trigger workflows based on MongoDB changes, create real-time dashboards, and build custom integrations. Low-code tools and JavaScript nodes unlock flexibility for complex data tasks.

About Firecrawl

Use Firecrawl in Latenode to extract structured data from websites at scale. Monitor product prices, track competitors, or collect research data automatically. Unlike standalone scrapers, Latenode lets you integrate scraped data into complex workflows with custom logic and direct API connections, all without code.

See how Latenode works

FAQ MongoDB and Firecrawl

How can I connect my MongoDB account to Firecrawl using Latenode?

To connect your MongoDB account to Firecrawl on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select MongoDB and click on "Connect".
  • Authenticate your MongoDB and Firecrawl accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I archive crawled data into MongoDB automatically?

Yes, you can! Latenode's visual editor makes it simple to archive Firecrawl data directly into MongoDB, ensuring your valuable crawled insights are securely stored and readily accessible.

What types of tasks can I perform by integrating MongoDB with Firecrawl?

Integrating MongoDB with Firecrawl allows you to perform various tasks, including:

  • Storing crawled website data directly into MongoDB collections.
  • Triggering website crawls based on MongoDB data changes.
  • Analyzing crawl results stored in MongoDB using JavaScript.
  • Automating data extraction from multiple websites into a database.
  • Creating real-time dashboards with crawled data in MongoDB.

Can I filter Firecrawl data before it enters MongoDB?

Yes! Latenode lets you add custom JavaScript blocks to filter and transform Firecrawl data before storing it in MongoDB, ensuring data quality and relevance.

Are there any limitations to the MongoDB and Firecrawl integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Complex data transformations may require custom JavaScript coding.
  • Rate limits of both MongoDB and Firecrawl can affect workflow performance.
  • Large-scale crawls may consume significant Latenode execution units.

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