Pricing

from $0.40 / 1,000 results

Wikipedia Scraper – Articles, Summaries & Extracts

$0.5/1K 🔥 Fast Wikipedia scraper! Article title, summary, full text, links, images & categories in any language. JSON, CSV, Excel or API in seconds. Search or list titles & pull thousands of articles for research & AI training ⚡

Pricing

from $0.40 / 1,000 results

Rating

0.0

(0)

Developer

ninhothedev

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Monthly active users

3 days ago

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Wikipedia Scraper – Articles, Summaries & Search

Scrape Wikipedia articles in any language: title, summary, full intro text, categories, thumbnail and URL. Search or fetch by title. As JSON, CSV or Excel. Free, no key.

💵 Pricing

Pay per result — $0.0004 per item. No subscription, no proxy needed. You only pay for the data you scrape, and new Apify accounts include free monthly credits so you can test it for $0.

🔎 What can it extract?

Title & short description
Plain-text intro/summary
Categories, thumbnail, page ID
Language & last-modified
Search across articles

🚀 How do I use it?

Click Try for free.
Set the input (see example below).
Click Start and download results as JSON, CSV or Excel — or pull them via the API / schedule them.

⚙️ Input example

{
  "mode": "search",
  "query": "web scraping",
  "language": "en",
  "maxItems": 50
}

📦 Output example

{
  "title": "Web scraping",
  "extract": "Web scraping is data scraping used for\u2026",
  "word_count": 465,
  "lang": "en"
}

🎯 Use cases

Knowledge bases & AI training
Content enrichment
Research datasets
Entity/summary lookups

💰 How much will it cost?

You pay only the per-result price (no proxy cost): 100 → ~$0.04 · 1,000 → ~$0 · 10,000 → ~$4

🆚 Why this one

Feature	This actor	Others
Any language	✅	English only
Search + full intro + categories	✅	partial
No key needed	✅	sometimes

❓ FAQ

Key/proxy? No. Languages? Any Wikipedia edition. Full body? Intro extract (exintro).

🛟 Support

Found a bug or need an extra field? Open an issue on the actor — fixes and new fields ship fast.

Legal & privacy

Public Wikipedia content (CC BY-SA). Attribute as required.

Keywords: wikipedia scraper, articles, summaries, knowledge base, AI training, research, JSON CSV Excel

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