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Wikipedia Articles by Keyword Scraper AI Agent

Find Wikipedia articles using keyword search with advanced filtering options. Simple form interface lets you discover educational content and automatically saves structured results to your Google Drive.

0+
Total Deployments
5 min
Setup Time
v1.0
Version

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Required Integrations

This agent works seamlessly with these platforms to deliver powerful automation.

Google Drive

Google Drive

Connect to Google Drive for file storage and management

Step by Step

Setup Tutorial

mission-briefing.md

Wikipedia Articles by Keyword Scraper Setup Guide

Quick Setup (3 minutes)

This agent discovers Wikipedia articles using keyword search and saves results to your Google Drive.

Required Integration: Google Drive

  1. Go to TaskAGI Integrations
  2. Find "Google Drive" integration
  3. Click "Add Account"
  4. Sign in with your Google account
  5. Grant file access permissions
  6. Verify connection shows green status

Using the Agent

  1. Click "Run Agent" to open the search form
  2. Enter keywords to search for Wikipedia articles
  3. Select Wikipedia language edition (English, Spanish, French, etc.)
  4. Optionally filter by article type (featured, good, stub, disambiguation)
  5. Optionally filter by content length (short, medium, long)
  6. Choose sorting method (relevance, recent, views, size)
  7. Set maximum results (1-200)
  8. Specify a filename for your results
  9. Click "Search Wikipedia Articles"
  10. Results are automatically saved to your Google Drive as JSON

What You Get

  • Wikipedia articles matching your keyword search
  • Multi-language support for international research
  • Article quality and type filtering options
  • Educational and reference content discovery
  • Structured JSON format for easy analysis
  • Secure storage in your Google Drive
  • Cost: 45┬ó per 100 articles successfully found

Ready to discover Wikipedia knowledge by keywords!

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