Wikipedia Article Extractor: Clean Text, Categories & Wikidata

Get clean plain text (intro or full article) for Wikipedia articles in any language, plus categories, Wikidata ID, short description, image, language count and last edit. Search mode included.

Why this actor

• LLM-ready clean text with entity IDs to join to Wikidata.
• Pay only for results: $0.80 per 1,000 articles, no start fee, failed lookups are free.
• Robust: automatic retries with exponential backoff, respects Retry-After, per-item error rows instead of crashed runs.
• Clean, flat JSON/CSV/Excel output ready for Google Sheets, Make, Zapier, n8n, Clay, or the Apify API.

Use cases

• RAG/LLM knowledge ingestion
• Entity enrichment for company/product databases
• Education and research datasets
• Multilingual content comparison

Input

Field	Type	Description
articles	array	Titles or Wikipedia URLs (redirects followed).
search	string	Full-text search; adds matching articles.
maxSearchResults	integer	Cap.
language	string	Wikipedia language code (en, de, fr, es, ja...).
fullText	boolean	Whole article as clean text (for LLM/RAG). Off = intro only.
maxItems	integer	0 = no limit. Caps cost.

Example input:

{
  "articles": [
    "Web scraping",
    "https://en.wikipedia.org/wiki/Denver"
  ],
  "search": "open data",
  "maxSearchResults": 3
}

Output

Each dataset item looks like this (real sample from a test run, long fields trimmed):

{
  "language": "en",
  "title": "Web scraping",
  "pageId": 2696619,
  "url": "https://en.wikipedia.org/wiki/Web_scraping",
  "wikidataId": "Q665452",
  "shortDescription": "Method of extracting data from websites",
  "isDisambiguation": false,
  "intro": "Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may directly access the World Wide Web using the Hypertext Transfer Protocol or a web browser. While web scr\u2026",
  "wordCount": 436,
  "categories": [
    "Web scraping"
  ],
  "languagesCount": 22,
  "image": null,
  "pageLengthBytes": 34836,
  "lastEditedAt": "2026-09-19T09:13:04Z",
  "scrapedAt": "2026-10-14T16:21:17+00:00"
}

Rows that could not be processed contain an error field and are not charged.

Pricing

Pay-per-event: $0.0008 per article (= $0.80 / 1,000). Use Max results to cap spend. Apify's free plan credit covers thousands of results per month.

Integrations & API

Run on a schedule in Apify Console, call via the Apify API / Python & JS clients, or connect to Make, Zapier, n8n, Google Sheets, Slack and webhooks. Works as a tool for AI agents via Apify MCP.

FAQ

Is this an official tool? No. It is an independent actor and is not affiliated with, sponsored or endorsed by the data source or any trademark owner named here.

Is it legal? The actor only reads publicly available data from public endpoints, without logins, and does not bypass paywalls or access controls. You are responsible for using the data in line with applicable laws (e.g. GDPR) and the source sites' terms.

Something broke? Open an issue in the Issues tab; we typically respond within 24 hours and ship fixes fast.