PostgreSQL and Firecrawl Integration

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Automatically enrich your PostgreSQL database with web scraping results from Firecrawl. Latenode's visual editor and affordable execution-based pricing make it easier to scale data collection without complex coding or step limits.

Swap Apps

PostgreSQL

Firecrawl

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PostgreSQL and Firecrawl

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

Add the PostgreSQL Node

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

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PostgreSQL

Configure the PostgreSQL

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

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Sign In
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Run node once

Add the Firecrawl Node

Next, click the plus (+) icon on the PostgreSQL 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 PostgreSQL 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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Set Up the PostgreSQL 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 PostgreSQL, 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 PostgreSQL and Firecrawl integration works as expected. Depending on your setup, data should flow between PostgreSQL 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 PostgreSQL and Firecrawl

Firecrawl + PostgreSQL + Slack: Firecrawl scrapes a website for content changes. The scraped data is then stored in a PostgreSQL database. If critical changes are detected (based on a custom query), a Slack message is sent to a designated channel, alerting the team.

Firecrawl + PostgreSQL + Google Sheets: Firecrawl tracks keyword ranking changes. This data is stored in a PostgreSQL database. Weekly, the latest data is retrieved from PostgreSQL and updated in a Google Sheets spreadsheet for reporting.

PostgreSQL and Firecrawl integration alternatives

About PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

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 PostgreSQL and Firecrawl

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

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

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

Can I automatically update my PostgreSQL database with Firecrawl data?

Yes, you can! Latenode lets you build automated workflows to easily update your PostgreSQL database with the latest data extracted by Firecrawl, ensuring data accuracy and real-time insights.

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

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

  • Automatically backing up Firecrawl data to a PostgreSQL database.
  • Enriching PostgreSQL data with web scraping results from Firecrawl.
  • Triggering Firecrawl crawls based on updates in your PostgreSQL database.
  • Creating custom reports by combining data from both PostgreSQL and Firecrawl.
  • Monitoring website changes and logging data directly into PostgreSQL.

Can I use JavaScript to manipulate data between PostgreSQL and Firecrawl?

Yes! Latenode allows you to use JavaScript code blocks to transform and manipulate data during the PostgreSQL and Firecrawl integration, enabling advanced data processing.

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

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

  • Complex data transformations may require JavaScript knowledge.
  • Very large datasets might require optimized workflow design.
  • Firecrawl's API rate limits still apply within Latenode workflows.

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