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Wikipedia structured data with chunks

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Extract structured data from any Wikipedia page: full text, infobox,tables, images, references, categories, links, Wikidata QID, and revision metadata. Async, cached, and ready for bulk pipelines.

Pricing

from $5.00 / 1,000 item extracteds

Rating

0.0

(0)

Developer

Mohit Soni

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Monthly active users

3 days ago

Last modified

Wikipedia Structured Data Extractor

Bulk-scrape Wikipedia pages into clean JSON. For each title you provide, the Actor pushes one dataset item containing:

title, qid (Wikidata QID), type (entity type), revId, wikitext
content — page summary + extract
links.internal_links (with resolved QIDs and entity types) and links.external_links
tables — parsed rows/headers of every table on the page
images — thumbnails + full metadata
references — bibliography / citation blocks
categories — category list
infobox — parsed key/value pairs from the right-side infobox
chunks — content split into chunks suitable for RAG / embeddings
metadata and extraction_metadata

Input

Field	Type	Default	Notes
`pageTitles`	array of strings	— (required)	English-Wikipedia page titles.
`maxConcurrentRequests`	int	10	1–25.
`requestTimeoutSeconds`	int	30	Per HTTP request.
`maxRetries`	int	5	Retries on 429 / 5xx with exponential backoff.
`enableCaching`	bool	true	In-container cache for the duration of the run.
`logLevel`	enum	INFO	DEBUG / INFO / WARNING / ERROR.
`userAgentContact`	string	actor-owner@example.com	Wikimedia requires a real contact. Only sent in the HTTP `User-Agent` header.

Example:

{
  "pageTitles": ["Albert Einstein", "Marie Curie", "Alan Turing"],
  "maxConcurrentRequests": 10,
  "enableCaching": true
}

Output

One JSON object per input title is pushed to the default dataset. Failed pages are still written, but with {"title": ..., "error": ..., "error_type": ...} instead of the full payload — so you can see failures in the same table.

Export as JSON, CSV, Excel, or feed via the Apify API.

Notes

The Actor talks only to en.wikipedia.org and www.wikidata.org. No credentials required.
Please set userAgentContact to a valid contact string per the Wikimedia User-Agent policy. Runs with the default placeholder may be rate-limited by Wikimedia.
Table extraction returns lists of rows/headers (no pandas dependency in the image).

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