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

Add the Microsoft SQL Server Node
Select the Microsoft SQL Server node from the app selection panel on the right.


Microsoft SQL Server

Configure the Microsoft SQL Server
Click on the Microsoft SQL Server node to configure it. You can modify the Microsoft SQL Server URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Firecrawl Node
Next, click the plus (+) icon on the Microsoft SQL Server 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.
Configure the Microsoft SQL Server 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.
Set Up the Microsoft SQL Server 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 Microsoft SQL Server, 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 “Run once” and triggering an event to check if the Microsoft SQL Server and Firecrawl integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server 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 Microsoft SQL Server and Firecrawl
Firecrawl + Microsoft SQL Server + Slack: Firecrawl scrapes a website for changes. When changes are detected, the data is stored in a Microsoft SQL Server database, and a notification is sent to a designated Slack channel alerting users of the update.
Firecrawl + Microsoft SQL Server + Google Sheets: Firecrawl crawls a website and retrieves data. This data is then stored in a Microsoft SQL Server database. Finally, data from SQL Server is used to generate and update reports in Google Sheets.
Microsoft SQL Server and Firecrawl integration alternatives

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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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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See how Latenode works
FAQ Microsoft SQL Server and Firecrawl
How can I connect my Microsoft SQL Server account to Firecrawl using Latenode?
To connect your Microsoft SQL Server account to Firecrawl on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft SQL Server and click on "Connect".
- Authenticate your Microsoft SQL Server and Firecrawl accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically archive crawled data into my SQL database?
Yes, you can! Latenode allows you to seamlessly send Firecrawl data directly to Microsoft SQL Server, archiving crawled data with ease. Benefit from Latenode’s robust automation and scheduling features.
What types of tasks can I perform by integrating Microsoft SQL Server with Firecrawl?
Integrating Microsoft SQL Server with Firecrawl allows you to perform various tasks, including:
- Store Firecrawl results directly in a Microsoft SQL Server database.
- Trigger crawls based on data changes in your Microsoft SQL Server database.
- Enrich existing database records with data obtained from Firecrawl.
- Automate data backups of Firecrawl results into Microsoft SQL Server.
- Generate custom reports combining crawled data with SQL insights.
Can Latenode handle large Microsoft SQL Server datasets efficiently?
Yes, Latenode is designed for scalability, handling large datasets with efficient data processing and optimized workflows.
Are there any limitations to the Microsoft SQL Server and Firecrawl integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers might be subject to Microsoft SQL Server connection limits.
- Complex Firecrawl configurations may require advanced JavaScript knowledge.
- Firecrawl API rate limits can affect the speed of data retrieval.