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


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Authenticate Docparser
Now, click the Docparser node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Docparser settings. Authentication allows you to use Docparser through Latenode.
Configure the Microsoft SQL Server and Docparser 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 Docparser 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, Docparser, 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 Docparser integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Docparser (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 Docparser
Docparser + Microsoft SQL Server + Slack: When new data is parsed from documents in Docparser, the information is added as a new row in a Microsoft SQL Server database, triggering a notification to a specified Slack channel.
Docparser + Microsoft SQL Server + Google Sheets: When a document is parsed by Docparser, the extracted data is automatically logged into both a Microsoft SQL Server database and a Google Sheet. The SQL Server stores the data, and the Google Sheet provides a platform for easy analysis.
Microsoft SQL Server and Docparser 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 Docparser
Extract data from PDFs, invoices, and forms automatically with Docparser in Latenode. Stop manual data entry. Build workflows that trigger actions based on parsed content. Use Latenode’s no-code tools to filter, transform, and route data to your database or apps, creating scalable document processing pipelines.
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See how Latenode works
FAQ Microsoft SQL Server and Docparser
How can I connect my Microsoft SQL Server account to Docparser using Latenode?
To connect your Microsoft SQL Server account to Docparser 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 Docparser accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically update my database from parsed invoices?
Yes, you can! Latenode allows you to automatically extract data from invoices using Docparser and update your Microsoft SQL Server database in real-time. Automate data entry and save valuable time.
What types of tasks can I perform by integrating Microsoft SQL Server with Docparser?
Integrating Microsoft SQL Server with Docparser allows you to perform various tasks, including:
- Automatically update inventory levels from purchase order PDFs.
- Extract data from contracts and store it in a structured database.
- Parse customer feedback forms and store them in Microsoft SQL Server.
- Process invoices and update accounting records in real-time.
- Analyze data from parsed documents using SQL queries.
Can I use custom SQL queries within my Latenode Docparser workflows?
Yes! Latenode allows you to execute custom SQL queries, providing precise control over your Microsoft SQL Server data within Docparser workflows.
Are there any limitations to the Microsoft SQL Server and Docparser integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large document parsing may consume significant processing resources.
- Complex SQL queries might require advanced database knowledge.
- The number of document parsing actions depends on your Docparser plan.