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Automatically extract data from documents parsed by Docparser and use Tavily to enrich it with real-time web insights. Latenode’s visual editor and affordable execution-based pricing make this high-value automation accessible. Scale document intelligence workflows with ease.
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In the workspace, click the “Create New Scenario” button.

Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Docparser, triggered by another scenario, or executed manually (for testing purposes). In most cases, Docparser or Tavily will be your first step. To do this, click "Choose an app," find Docparser or Tavily, and select the appropriate trigger to start the scenario.

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

Docparser
Click on the Docparser node to configure it. You can modify the Docparser 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 Docparser node, select Tavily from the list of available apps, and choose the action you need from the list of nodes within Tavily.

Docparser
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Tavily
Now, click the Tavily node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Tavily settings. Authentication allows you to use Tavily 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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Tavily
Trigger on Webhook
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Docparser
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Iterator
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Webhook response
After configuring Docparser, Tavily, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Docparser and Tavily integration works as expected. Depending on your setup, data should flow between Docparser and Tavily (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Docparser + Tavily + Slack: When Docparser parses a document, Tavily researches the company details found in the document. A summary of the extracted information and research is then sent to a Slack channel for review.
Tavily + Docparser + Airtable: Use Tavily to search for relevant documents, then parse those documents with Docparser to extract specific data and store it in an Airtable base.
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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About Tavily
Use Tavily in Latenode to automate research workflows. Retrieve and analyze data from various sources for competitive intelligence or market research. Integrate Tavily’s search API into Latenode for automated content aggregation and report generation. Connect to AI models or databases, scaling your data processing without complex coding.
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How can I connect my Docparser account to Tavily using Latenode?
To connect your Docparser account to Tavily on Latenode, follow these steps:
Can I automate data extraction from invoices and research related entities?
Yes, you can! Latenode streamlines this process. Automatically parse invoice data with Docparser, then use Tavily to research related entities, enriching your data sets seamlessly.
What types of tasks can I perform by integrating Docparser with Tavily?
Integrating Docparser with Tavily allows you to perform various tasks, including:
What document types work best with the Docparser integration?
Docparser on Latenode excels with PDFs, scanned images, and other structured documents, ensuring reliable data extraction for your Tavily workflows.
Are there any limitations to the Docparser and Tavily integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: