Wikipedia Data Extraction
Extract publicly available data from Wikipedia at scale using AlterLab's API — JavaScript rendering, structured extraction, and automatic retries in one request.
Website Compatibility Notes
Wikipedia has minimal bot protections and explicitly supports programmatic access via their API. Most pages serve static HTML. No JavaScript rendering is needed for article content. Wikipedia requests polite crawling with a descriptive User-Agent header. Respect their rate limits and use the Wikimedia API for large-scale data needs.
Technical Context
Wikipedia's article structure is well-organized: infoboxes on the right contain structured data, the lead section is a summary, and sections follow with expanding detail. The Wikimedia API (api.wikimedia.org) provides structured access to article content, revision history, and metadata without scraping. For specific data points in infoboxes or tables, HTML parsing works reliably since Wikipedia's markup is highly consistent.
Common Data Fields
Typical fields available when extracting data from Wikipedia:
Responsible Use
AlterLab is designed for extracting publicly available data. Always review the terms of service for any website you access, respect robots.txt directives, and ensure your use case complies with applicable laws in your jurisdiction. Do not use this service to access non-public, authenticated, or personally identifiable data without appropriate authorization.
Quick Start — Extract from Wikipedia
# Always verify the target site's robots.txt and terms of service before extracting data.
curl -X POST https://alterlab.io/api/v1/scrape \
-H "X-API-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"url": "https://en.wikipedia.org/wiki/Web_scraping",
"advanced": { "render_js": true }
}'Need an API key? — no credit card required.
Python Example
import requests
# Always verify the target site's robots.txt and terms of service before extracting data.
response = requests.post(
"https://alterlab.io/api/v1/scrape",
headers={
"X-API-Key": "YOUR_API_KEY",
"Content-Type": "application/json",
},
json={
"url": "https://en.wikipedia.org/wiki/Web_scraping",
"advanced": {"render_js": True},
},
)
data = response.json()
print(data["content"][:500]) # First 500 chars of extracted contentFrequently Asked Questions
How do I extract Wikipedia article content?
Send Wikipedia article URLs to AlterLab. Since Wikipedia serves static HTML, no JavaScript rendering is needed. You'll receive the full article content with sections, tables, references, and infoboxes.
Can I extract structured data from Wikipedia infoboxes?
Yes. Wikipedia infoboxes contain structured key-value data (e.g., population, area, founding date). AlterLab returns the full HTML which you can parse for specific infobox fields.
Is there a better way to access Wikipedia data?
Wikipedia offers a free API (api.wikimedia.org) for structured access. AlterLab is useful when you need the rendered visual layout, tables, or content that the API doesn't easily expose.
What is the best way to extract Wikipedia table data?
Wikipedia tables render as standard HTML tables. AlterLab returns the page HTML, which you can parse with libraries like BeautifulSoup (Python) or Cheerio (Node.js) to extract table rows and columns as structured data.
Can I collect data from multiple Wikipedia language editions?
Yes. Wikipedia has editions in 300+ languages at {language}.wikipedia.org. AlterLab extracts data from any edition — useful for multilingual research or finding information that only appears in specific language editions.
How do I collect Wikipedia category listings?
Wikipedia category pages (en.wikipedia.org/wiki/Category:{name}) list articles belonging to that category. AlterLab returns the category page with all linked article titles, making it straightforward to build article lists for specific topics.
Developer Scraping Resources
How to Scrape Wikipedia Data: Complete Guide
Step-by-step tutorial with Python and Node.js code examples, structured extraction, and cost breakdown for Wikipedia scraping.
How to Handle Bot Protection Challenges
All 6 detection layers explained: TLS fingerprinting, JS challenges, Turnstile, and more.
JavaScript Rendering API
Full browser rendering for SPAs, React, and dynamic content.
Python Web Scraping API
pip install alterlab — async-ready Python SDK with 5,000 free scrapes.
Pricing
From $0.0002/request. No subscriptions. Balance never expires.
Your first scrape.
Sixty seconds.
$1 free credit — up to 5,000 scrapes. No credit card.
Just a POST request.
No credit card required · $1 free credit, up to 5,000 scrapes · Balance never expires