Wikipedia Pageviews: Article Traffic & Daily Top 1000

Daily or monthly pageviews for any Wikipedia article in any language (Wikimedia API), bot-filtered, by device, or one summary row with total/avg/peak. Also the top 1,000 most-viewed articles of any day.

Why this actor

• Summary mode and top-1000 mode; cheap per row for long time series.
• Pay only for results: $0.30 per 1,000 rows, 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

• Public-interest proxy for brands, people, products (trend research)
• Finance/alt-data signals
• Content and SEO topic validation
• Media research

Input

Field	Type	Description
mode	string	What to fetch.
articles	array	Titles or Wikipedia URLs.
project	string	e.g. de.wikipedia, es.wikipedia, en.wiktionary.
startDate	string	YYYY-MM-DD. Default: 30 days before end.
endDate	string	YYYY-MM-DD. Default: yesterday.
granularity	string	Rows per day or per month.
summaryOnly	boolean	Total, average and peak instead of a time series.
access	string	Device split.
agent	string	'user' excludes known bots.
topN	integer	How many top articles.
maxItems	integer	0 = no limit. Caps cost.

Example input:

{
  "mode": "articles",
  "articles": [
    "Web scraping",
    "https://en.wikipedia.org/wiki/Python_(programming_language)"
  ],
  "summaryOnly": true
}

Output

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

{
  "project": "en.wikipedia",
  "article": "Web scraping",
  "startDate": "2026-09-13",
  "endDate": "2026-10-13",
  "totalViews": 62747,
  "avgPerPeriod": 2024.1,
  "peakViews": 3396,
  "peakDate": "20261012",
  "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: $0.0003 per row (= $0.30 / 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.