Pricing

Pay per usage

Wikipedia Scraper - Extract Articles, Infoboxes & Content API

Scrape Wikipedia articles, infoboxes, and structured content. Extract knowledge base data at scale. JSON/CSV export via API. Need custom data extraction? Visit https://fatihai.app/tools/data-scraping for managed scraping services.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Fatih Dağüstü

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Wikipedia Scraper

Scrape Wikipedia articles, summaries, and search results in any language. Extract structured content, images, categories, linked articles, and coordinates.

Features

Search — Find articles by keyword
Full Articles — Sections, categories, linked articles, images
Summaries — Quick extracts with images and descriptions
Multi-language — 300+ Wikipedia editions (en, de, fr, es, ja, tr, etc.)

Input

Field	Type	Description
`scrapeType`	string	`search`, `articles`, `summaries`
`searchQuery`	string	Search term
`articleTitles`	array	Article titles or Wikipedia URLs
`language`	string	Language code (default: `en`)
`maxItems`	number	Maximum results (default: 50)

Output Example

{
  "type": "article",
  "title": "Artificial intelligence",
  "pageId": 233488,
  "url": "https://en.wikipedia.org/wiki/Artificial_intelligence",
  "description": "Intelligence of machines",
  "extract": "Artificial intelligence (AI) is intelligence demonstrated by machines...",
  "image": "https://upload.wikimedia.org/...",
  "categories": ["Artificial intelligence", "Computer science"],
  "linkedArticles": ["Machine learning", "Deep learning"],
  "lastModified": "2024-01-15T10:30:00Z"
}

Use Cases

Research — Quick data gathering on any topic
Knowledge Graphs — Build structured knowledge bases
Content Creation — Generate fact-based articles
Education — Create learning materials
NLP Training — Build text corpora and datasets

Cost

Uses Pay Per Event pricing. Each scraped article counts as one result.

Wikipedia Scraper

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Scrape Wikipedia articles, infoboxes, references, and structured data. Extract knowledge base content for research, NLP training, and data enrichment.

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