Webhook Automate

• Data Analysts: Those who need to extract data from PDFs and update databases dynamically.
• Developers: Individuals looking to automate data workflows and integrate with Baserow.
• Business Professionals: Users who require efficient data entry and management solutions without manual intervention.
• Researchers: Those who need to process large volumes of data from documents quickly and accurately.

This workflow addresses the challenge of automating data extraction from PDF files and updating a Baserow database based on events like row updates or field changes. It eliminates the need for manual data entry, reduces errors, and increases efficiency by allowing users to handle large datasets seamlessly.

• Webhook Trigger: The process begins when a Baserow event (like a row update) triggers the webhook.
• Event Type Handling: The workflow uses a switch node to determine the event type (e.g., rows.updated, field.created).
• Fetch Table Schema: It retrieves the table schema from Baserow to understand the fields and their descriptions.
• Get File Data: The workflow downloads the PDF file associated with the updated row.
• Extract Data: It extracts relevant data from the PDF using the Extract From File node.
• Generate Values: The extracted data is processed using LLM (Language Model) to generate values based on dynamic prompts defined in the schema.
• Update Rows: Finally, the workflow updates the corresponding rows in the Baserow database with the newly generated values.