How to connect Firecrawl and Microsoft SQL Server
Create a New Scenario to Connect Firecrawl and Microsoft SQL Server
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 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.

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

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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 Microsoft SQL Server Node
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.

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Authenticate 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.
Configure the Firecrawl and Microsoft SQL Server 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 Microsoft SQL Server 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 Firecrawl, Microsoft SQL Server, 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 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.
Most powerful ways to connect Firecrawl and Microsoft SQL Server
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.
Firecrawl and Microsoft SQL Server 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 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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See how Latenode works
FAQ Firecrawl and Microsoft SQL Server
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:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Firecrawl and click on "Connect".
- Authenticate your Firecrawl and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
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:
- Automatically backing up website data to a secure database.
- Analyzing crawled content for specific keywords and storing results.
- Tracking changes to website structure over time.
- Creating reports based on crawled and stored data.
- Monitoring competitor websites and logging price changes.
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:
- Large-scale data transfers may be subject to rate limits from both Firecrawl and Microsoft SQL Server.
- Complex data transformations might require JavaScript coding within Latenode.
- Initial setup requires a basic understanding of database schema design.