Wikipedia Scraper
Pricing
Pay per usage
Wikipedia Scraper
Scrape Wikipedia articles, infoboxes, references, and structured data. Extract knowledge base content for research, NLP training, and data enrichment.
Pricing
Pay per usage
Rating
0.0
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Developer

Stephan Corbeil
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
an hour ago
Last modified
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Scrape Wikipedia articles, infoboxes, references, and structured data. Extract knowledge base content for research, NLP training, and data enrichment.
Why Use This Actor?
This actor provides reliable, structured data extraction that you can integrate into your workflows via API, scheduled runs, or webhooks. All data is returned as clean JSON, ready for analysis, databases, or downstream processing.
Keywords: Wikipedia, knowledge base, encyclopedia, NLP, reference data
Features
- Titles — List of Wikipedia article titles to scrape
- Maxarticles — Maximum number of articles to extract
How to Use
- Configure inputs — Set your search parameters in the Apify Console or via API
- Run the actor — Click "Start" or trigger via API/scheduler
- Get results — Download structured JSON data from the dataset
API Integration
curl "https://api.apify.com/v2/acts/nexgendata~wikipedia-scraper/runs" \-X POST \-H "Authorization: Bearer YOUR_API_TOKEN" \-H "Content-Type: application/json" \-d '{}'
Scheduled Runs
Set up automated runs on any schedule — hourly, daily, or weekly — using Apify's built-in scheduler. Perfect for monitoring and data pipelines.
Output Format
Results are stored in Apify datasets as structured JSON objects. Each run creates a new dataset that you can:
- Download as JSON, CSV, or Excel
- Access via REST API
- Push to webhooks or integrations
- Connect to Google Sheets, Slack, or Zapier
Technical Details
- Uses httpx for fast async HTTP requests
- Leverages official APIs where available
Integrations
This actor works seamlessly with the Apify platform ecosystem:
- API access — Full REST API for programmatic control
- Webhooks — Get notified when runs complete
- Scheduler — Automate recurring data collection
- Integrations — Connect to Zapier, Make, Google Sheets, Slack, and more
Support
For questions, bug reports, or feature requests, open an issue on the actor's page or contact the developer through Apify.
About nexgendata
nexgendata builds reliable, production-ready data extraction tools on Apify. We focus on clean APIs, structured output, and developer-friendly documentation.