How to connect Firecrawl and Data Enrichment
Create a New Scenario to Connect Firecrawl and Data Enrichment
In the workspace, click the “Create 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 Firecrawl, triggered by another scenario, or executed manually (for testing purposes). In most cases, Firecrawl or Data Enrichment will be your first step. To do this, click "Choose an app," find Firecrawl or Data Enrichment, and select the appropriate trigger to start the scenario.

Add the Firecrawl Node
Select the Firecrawl node from the app selection panel on the right.

Firecrawl
Configure the Firecrawl
Click on the Firecrawl node to configure it. You can modify the Firecrawl URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Data Enrichment Node
Next, click the plus (+) icon on the Firecrawl node, select Data Enrichment from the list of available apps, and choose the action you need from the list of nodes within Data Enrichment.

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Data Enrichment
Authenticate Data Enrichment
Now, click the Data Enrichment node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Data Enrichment settings. Authentication allows you to use Data Enrichment through Latenode.
Configure the Firecrawl and Data Enrichment Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Firecrawl and Data Enrichment 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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AI Anthropic Claude 3
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Data Enrichment
Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring Firecrawl, Data Enrichment, 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 “Run once” and triggering an event to check if the Firecrawl and Data Enrichment integration works as expected. Depending on your setup, data should flow between Firecrawl and Data Enrichment (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Firecrawl and Data Enrichment
Firecrawl + Data Enrichment + Google Sheets: Scrape data from a website using Firecrawl, enrich the scraped data with Data Enrichment, and then add the enriched data as a new row in a Google Sheet.
Firecrawl + Data Enrichment + Slack: Scrape contact data from a website using Firecrawl, enrich it with Data Enrichment, and then send a Slack message to a specified channel when a high-value lead is identified based on the enrichment data.
Firecrawl and Data Enrichment integration alternatives
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.
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About Data Enrichment
Enrich lead data, verify addresses, or flag fraud risks within Latenode workflows. Connect Data Enrichment APIs to auto-update records across apps. Streamline data cleaning and validation with no-code blocks or custom JS. Automate tasks that need enhanced data for better decisions, at scale.
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See how Latenode works
FAQ Firecrawl and Data Enrichment
How can I connect my Firecrawl account to Data Enrichment using Latenode?
To connect your Firecrawl account to Data Enrichment on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Firecrawl and click on "Connect".
- Authenticate your Firecrawl and Data Enrichment accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I enrich scraped lead data automatically?
Yes, you can! Latenode automates this, passing Firecrawl data to Data Enrichment for lead profile updates. Enrich thousands of leads with no-code ease, and scale fast with JavaScript steps.
What types of tasks can I perform by integrating Firecrawl with Data Enrichment?
Integrating Firecrawl with Data Enrichment allows you to perform various tasks, including:
- Automatically enrich scraped website data with company information.
- Identify key decision-makers from crawled websites and enrich their profiles.
- Build targeted lead lists by combining web scraping and data enrichment.
- Monitor competitor websites and automatically update their profiles.
- Validate and standardize scraped data using data enrichment services.
What Firecrawl data fields can I use in Data Enrichment workflows?
You can use any field Firecrawl provides, like title, description, or URL, as input for Data Enrichment. Latenode handles data mapping seamlessly for richer insights.
Are there any limitations to the Firecrawl and Data Enrichment integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of Firecrawl and Data Enrichment may affect workflow speed.
- Complex website structures may require custom Firecrawl configurations.
- Data Enrichment accuracy depends on the quality of the source data.