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$1.00 / 1,000 results

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Wikipedia Most Viewed Articles and Pageviews Radar

Try for free

Scrape daily top 1,000 most-viewed Wikipedia articles across all languages with view counts, ranks, summary abstracts, and thumbnail pictures.

Pricing

$1.00 / 1,000 results

Rating

0.0

(0)

Developer

Darim Quraishi

Actor stats

Bookmarked

Total users

Monthly active users

17 hours ago

Last modified

Wikipedia Most Viewed Articles Scraper

Retrieve daily top-viewed Wikipedia articles across any language edition with view counts, rankings, article descriptions, and thumbnail images.

Features

Fetches the daily top 1,000 most-viewed articles for any calendar date.
Supports all language editions, including English, Spanish, German, French, and Japanese.
Extracts exact daily view counts and ranking positions.
Enriches entries with summary abstracts and thumbnail image URLs.
Automatically filters out administrative pages like Main Page and Special pages.
Queries the official Wikimedia REST API proxy-free.

Input parameters

Parameter	Type	Default	Description
`language`	String	`"en"`	Wikipedia language edition (`"en"`, `"es"`, `"de"`, `"fr"`, `"ja"`, etc.).
`date`	String	`""`	Target date in `YYYY-MM-DD` (e.g. `2026-10-18`). Default is the most recent available day (yesterday).
`maxItems`	Number	`50`	Maximum number of trending topics to return (up to 1,000).
`enrichDetails`	Boolean	`true`	Fetch opening summary extract, subtitle, and thumbnail image for each topic.
`filterSpecialPages`	Boolean	`true`	Remove internal pages like `Main_Page` or `Special:Search`.

Output format

json {   "rank": 4,   "article": "Jailer 2",   "views": 321853,   "date": "2026-10-19",   "language": "en",   "url": "https://en.wikipedia.org/wiki/Jailer_2",   "description": "2026 Indian film by Nelson Dilipkumar",   "summary": "Jailer 2 is a 2026 Indian Tamil-language action comedy film written and directed by Nelson Dilipkumar...",   "thumbnail": "https://upload.wikimedia.org/wikipedia/en/d/dc/Jailer_2_poster.jpg",   "scrapedAt": "2026-10-20T12:00:00.000Z" }

Use cases

Trend analysis: Measure public attention spikes around breaking news and cultural events.
Content planning: Identify topics with high search interest for publishing ideas.
Academic research: Analyze historical pageview distributions across subjects.
Media intelligence: Detect viral stories before they saturate secondary channels.

Pricing and efficiency

Typical runtime: 2 to 4 seconds per execution.
Zero proxy costs: Runs over public REST and RSS endpoints without residential proxy pools.
Suitable for scheduled runs and continuous monitoring under standard platform limits.

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