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Automatically archive Firecrawl's website data in Microsoft SQL Server. Latenodeβs visual editor simplifies the data transfer, letting you customize the flow with JavaScript and scale your web data extractions affordably.
Connect Firecrawl and Microsoft SQL Server in minutes with Latenode.
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In the workspace, click the βCreate New Scenarioβ button.

Add the first node β 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 Microsoft SQL Server will be your first step. To do this, click "Choose an app," find Firecrawl or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

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

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

Firecrawl
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Microsoft SQL Server
Now, click the Microsoft SQL Server node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SQL Server settings. Authentication allows you to use Microsoft SQL Server through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Microsoft SQL Server
Trigger on Webhook
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Firecrawl
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Iterator
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Webhook response
After configuring Firecrawl, Microsoft SQL Server, and any additional nodes, donβt 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.
Run the scenario by clicking βRun onceβ and triggering an event to check if the Firecrawl and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Firecrawl and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Firecrawl + Microsoft SQL Server + Slack: Firecrawl scrapes a website for changes. If changes are detected, the data is inserted into a Microsoft SQL Server database, and a Slack message is sent to a specified channel to alert the team.
Microsoft SQL Server + Firecrawl + Email: When a new or updated row is detected in a Microsoft SQL Server database table (potentially due to changes identified by Firecrawl), an email notification is sent via SMTP.
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 Microsoft SQL Server
Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.
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How can I connect my Firecrawl account to Microsoft SQL Server using Latenode?
To connect your Firecrawl account to Microsoft SQL Server on Latenode, follow these steps:
Can I archive crawled data to SQL Server?
Yes, you can! Latenode enables automated data archival from Firecrawl to Microsoft SQL Server. Benefit from centralized data storage and enhanced reporting using Latenode's visual workflow editor.
What types of tasks can I perform by integrating Firecrawl with Microsoft SQL Server?
Integrating Firecrawl with Microsoft SQL Server allows you to perform various tasks, including:
How does Latenode handle Firecrawl's pagination limits?
Latenode automatically manages pagination using loop blocks to efficiently retrieve large datasets, ensuring you extract all the data without manual intervention.
Are there any limitations to the Firecrawl and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: