Pricing

from $0.60 / 1,000 results

Wikipedia Scraper

[💰 $0.6 / 1K] Search Wikipedia or fetch exact articles by URL or title, and extract clean structured data — summaries, full plain text, categories, 30-day pageviews, thumbnails, coordinates, and language counts — across 300+ language editions.

Pricing

from $0.60 / 1,000 results

Rating

0.0

(0)

Developer

SolidCode

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Developer tools

Automation

Search Queries

searchQueries

Optional

Keywords to look up on Wikipedia, for example 'artificial intelligence' or 'climate change'. Each query runs its own search and returns the best-matching articles. Leave empty if you only want to fetch specific articles below.

Type:array | null

Article URLs or Titles

articleUrls

Optional

Fetch exact articles you already know. Paste full Wikipedia URLs (e.g. 'https://en.wikipedia.org/wiki/Alan_Turing') or just the page title (e.g. 'Alan Turing'). When a full URL is used, its language is detected automatically; bare titles use the language selected below.

Type:array | null

Language

language

Optional

Which Wikipedia edition to use for searches and for bare titles above. Full URLs override this automatically.

Type:string

Default:en

Options:

endefresitptnlplruuksvnodaficsskhurobgeltrarhefahiidvithjakozhcaeuglsrhretltlvsl

Max Results Per Search

maxResultsPerSearch

Optional

Maximum number of articles to return for each search query (1-500; higher values are capped at 500). Articles fetched directly by URL or title are always included on top of this. Recommended 50-200 to keep runs fast and affordable.

Type:integer

Minimum:1

Maximum:500

Default:50

Sort Search Results By

sortBy

Optional

How to order search results. Popularity favours articles with more incoming links and traffic.

Type:string

Default:relevance

Options:

relevancepopularity

Include Full Article Text

fullText

Optional

Return the complete plain-text body of each article instead of just the introductory summary. Useful for analysis and dataset building; increases dataset size.

Type:boolean

Default:false

Include Categories

includeCategories

Optional

Include the list of categories each article belongs to (e.g. 'British computer scientists', '1912 births'). Helpful for classification and topic mapping.

Type:boolean

Default:true

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cat

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