How to connect Microsoft SQL Server and Scrapeless
Create a New Scenario to Connect Microsoft SQL Server and Scrapeless
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 Scrapeless will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Scrapeless, 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 Scrapeless Node
Next, click the plus (+) icon on the Microsoft SQL Server node, select Scrapeless from the list of available apps, and choose the action you need from the list of nodes within Scrapeless.


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Authenticate Scrapeless
Now, click the Scrapeless node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Scrapeless settings. Authentication allows you to use Scrapeless through Latenode.
Configure the Microsoft SQL Server and Scrapeless 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 Scrapeless 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, Scrapeless, 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 Scrapeless integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Scrapeless (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 Scrapeless
Scrapeless + Microsoft SQL Server + Slack: When Scrapeless detects a change on a website by scraping data, the scraped data is compared to data stored in Microsoft SQL Server. If a specific condition is met based on the comparison, a message is sent to a Slack channel to alert the team.
Scrapeless + Microsoft SQL Server + Google Sheets: Scrapeless scrapes data from a website. This data is then saved to a Microsoft SQL Server database and simultaneously tracked in a Google Sheet for reporting and analysis.
Microsoft SQL Server and Scrapeless 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 Scrapeless
Use Scrapeless in Latenode to extract structured data from websites without code. Scrape product details, news, or social media feeds, then pipe the data into your Latenode workflows. Automate lead generation, price monitoring, and content aggregation. Combine Scrapeless with Latenode's AI nodes for smarter data processing.
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See how Latenode works
FAQ Microsoft SQL Server and Scrapeless
How can I connect my Microsoft SQL Server account to Scrapeless using Latenode?
To connect your Microsoft SQL Server account to Scrapeless 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 Scrapeless accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I archive scraped product data to SQL?
Yes, you can! Latenode's visual editor simplifies data transfer. Store scraped product details directly in your Microsoft SQL Server database for analysis and reporting.
What types of tasks can I perform by integrating Microsoft SQL Server with Scrapeless?
Integrating Microsoft SQL Server with Scrapeless allows you to perform various tasks, including:
- Automatically update database records with the latest scraped data.
- Trigger scraping tasks based on SQL Server data changes.
- Store scraped website content in a structured SQL Server format.
- Monitor website pricing and log changes in your database.
- Create custom reports based on scraped and stored data.
What database versions are supported for Microsoft SQL Server in Latenode?
Latenode supports Microsoft SQL Server 2012 and later versions. Ensure your server is accessible and properly configured for external connections.
Are there any limitations to the Microsoft SQL Server and Scrapeless integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex Scrapeless configurations may require more resources.
- Very large data transfers can impact workflow execution time.
- Database connection limits may affect concurrent workflows.