Who is this workflow for? The API Schema Extractor automates the discovery and extraction of APIs from various services, generating customized schemas for streamlined documentation. By leveraging a structured three-stage process—research, extraction, and schema generation—it efficiently manages and tracks progress using Google Sheets..

What does this workflow do?

The API Schema Extractor operates through three distinct stages:

Stage 1 – Research

  • Fetch Services: Retrieves a list of pending services from a designated Google Sheet.
  • Locate Documentation: Conducts Google searches to find relevant API documentation for each service.
  • Web Scraping: Utilizes Apify to scrape and filter pertinent webpages containing API information.
  • Data Storage: Stores the scraped webpage contents and metadata in Qdrant, a vector database.
  • Progress Tracking: Updates the Google Sheet with the current status of each service (pending, ok, or error).

Stage 2 – Extraction

  • Process Services: Handles services that have successfully completed the research stage.
  • Query Vector Store: Searches the Qdrant database to identify relevant products and offerings.
  • Detailed Documentation Search: Further queries to locate specific API documentation.
  • Extract API Operations: Uses Gemini’s Language Model (LLM) to extract detailed API operations from the documentation.
  • Record Operations: Logs the extracted operations into the Google Sheet.
  • Update Status: Reflects the progress status (pending, ok, or error) in the Google Sheet.

Stage 3 – Generation

  • Select Services: Identifies services with successfully extracted data.
  • Retrieve Operations: Gathers all API operations from the database.
  • Create Custom Schema: Combines and organizes the operations into a structured custom schema.
  • Upload Schema: Saves the final schema to Google Drive for easy access and sharing.
  • Finalize Status: Updates the Google Sheet with the final status and file location of the schema.

🤖 Why Use This Automation Workflow?

  • Automated API Discovery: Eliminates manual searching by automatically locating relevant API documentation.
  • Standardized Documentation: Produces consistent and organized API schemas, enhancing clarity and usability.
  • Efficient Workflow Management: Tracks progress and handles multiple services seamlessly through integrated tools.

👨‍💻 Who is This Workflow For?

This workflow is ideal for development teams, API documentation specialists, and organizations that need to catalog and document multiple APIs efficiently. It caters to those looking to streamline their API management processes without extensive manual effort.

🎯 Use Cases

  1. Comprehensive API Documentation Projects: Automatically gather and document APIs from various sources, ensuring thorough and up-to-date records.
  2. Development Team Collaboration: Provide teams with accessible and standardized API schemas to facilitate collaboration and integration.
  3. API Integration Management: Efficiently manage and update integrations by maintaining accurate and organized API schemas.

TL;DR

The API Schema Extractor workflow provides a comprehensive solution for automating the discovery, extraction, and documentation of APIs. By integrating tools like Google Sheets, Apify, Qdrant, and Gemini, it ensures an efficient and standardized approach to managing multiple APIs, enhancing both productivity and documentation quality.

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