Wikipedia Trending Pages API

Wikipedia Trending Pages API helps teams collect Wikipedia trending pages, pageviews, most-read articles as clean JSON on Apify. It uses Wikipedia REST featured feed, so the listing matches the real data source used by the Actor. Track Wikipedia most-read pages, pageviews, ranks, extracts, thumbnails, and URLs from the official REST feed. This Actor pulls Wikipedia's official most-read feed for a given language, then enriches each article with multi-day pageview totals from the Wikimedia Pageviews API. The result is a ranked, deduped list of trending topics with daily averages and view counts you can pipe straight into your dashboard or CRM.

Why Wikipedia? It's the largest open knowledge base on the web. When something starts trending in the real world — a sports event, a tech product, a political scandal — Wikipedia's traffic spikes before mainstream media catches up. That spike is the signal you want.

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✨ Features

• 9+ languages supported: English, Spanish, German, French, Portuguese, Italian, Japanese, Chinese, Russian
• Pageview enrichment: total views + daily average over a 1–90 day window
• Optional category filter: focus on a topic (e.g. "AI", "football", "election")
• No proxies, no browser: runs on Wikipedia's free public REST API (cost ~$0.001 per run)
• Respects budget limits: graceful exit if the user's spend cap is reached
• Clean dataset output: ranked JSON, ready for export to CSV/Excel/Parquet

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📊 What you can extract

Field	Type	Description
rank	integer	1-based rank by total views
title	string	Wikipedia article title
language	string	ISO 639 code
views_last_n_days	integer	Total pageviews in your window
daily_average	integer	Views per day (rounded)
top_rank	integer	Highest rank in the per-article top-articles list
url	string	Direct link to the Wikipedia article
description	string | null	Short description from Wikipedia
fetched_at	string	ISO timestamp of fetch

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🚀 Tutorial — get started in 3 steps

1. Choose your language and window in the input form. Default: en, last 7 days.
2. (Optional) Add a category filter — e.g. "AI" to keep only AI-related articles.
3. Click Run and download the resulting dataset as JSON, CSV, or Excel.

Or call the Actor via the Apify API for programmatic use — see the Apify SDK docs.

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💰 Pricing — how much does it cost?

You only pay for what you extract. There are two events:

• actor-start — $0.001 per run (covers the initial API call)
• topic-analyzed — $0.005 per article analyzed

Examples:

Run	Items	Cost
Quick check (en, 50 articles)	50	$0.26
Standard (es, 200 articles)	200	$1.01
Deep dive (en, 1000 articles)	1000	$5.00 (capped)

Your total spend per run is hard-capped at $5.00 (maxTotalChargeUsd) so you'll never get a surprise bill.

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📥 Input / Output examples

Input:

{
  "language": "en",
  "category": "AI",
  "topN": 50,
  "daysBack": 7,
  "minViews": 1000
}

Output (one item per article):

{
  "rank": 1,
  "title": "2026 FIFA World Cup qualification",
  "language": "en",
  "description": "...",
  "views_last_n_days": 2481337,
  "daily_average": 354476,
  "top_rank": 3,
  "url": "https://en.wikipedia.org/wiki/2026_FIFA_World_Cup_qualification",
  "fetched_at": "2026-07-05T14:42:30.000Z"
}

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❓ FAQ / Support

• Is this data legal? Yes — Wikipedia publishes both the most-read feed and the pageviews API as public, no-auth endpoints. No terms of service are violated.
• How fresh is the data? The most-read feed updates every 24 hours; pageviews are real-time with a 1-hour delay.
• Can I get historical data beyond 90 days? The pageviews API supports older ranges, but this Actor caps at 90 days for cost reasons. Contact me if you need deeper history.
• A run returned 0 results — what gives? You probably set minViews too high for that language. Try lowering it or increasing topN.
• I want a different language. See the input dropdown. Any 2-3 letter ISO code Wikipedia supports will work — if your language isn't listed, set the field to its ISO code.

Issues / feature requests: open a ticket via the Apify Console "Issues" tab on the Actor's page, or message me via the Apify platform.