Wikipedia Pageviews & Trend Spikes

project	en.wikipedia
article	Artificial intelligence
date	2026-09-01

How it will work: 3 steps

Follow us on ApifyThe tool is built and waits in the queue for the Apify Store. Apify is the cloud platform where our tools run.
Paste your input and press StartNo code needed: you fill in a form (the input). It already has a working example. For example: {"project": "en.wikipedia", "title": "Artificial… in Articles. Each start is one run.
Download the resultsWhen the run ends, the results are in a table (the dataset). Open Output, press Export and pick Excel or CSV. JSON and the API are there too.

This tool is an Apify Actor: a small program that runs on Apify. You can also run it on a schedule, for example every Monday. New to it? Read how it works, step by step and the 8 words you need first.

Made by Cliqto Media, an independent digital media company. We made this tool. About us

What it does

Get daily or monthly Wikipedia article views, daily top articles and interest spikes from Wikimedia metrics. Add exact article titles; no API key is needed. Unavailable source data is marked clearly; a spending limit can produce a partial result.

Articles: one row per article and UTC day, or per calendar month. Get total views, average, peak date and spike counts in the run summary.
Top: get the most-viewed pages for one Wikipedia project and UTC day. Keep the source ranks, including ties and rank gaps.
Spikes: compare each point with the average of the previous points. The default baseline is seven points; a spike starts at twice that average.

Who uses it

Marketers

Follow reading interest in a brand or topic.

Editors and writers

Find hot topics for today's content.

Researchers

Compare the same article in several languages.

Price

Prices will be shown after release.

Questions

Do views show unique readers?

No. Views measure reading, not unique people or sales.

How many articles can I track?

Up to 50 articles per run.

What is a spike?

By default, a day with twice the average of the seven days before.

Do I need an API key?

No. It uses public Wikimedia data.

Details

Step by step on Apify

Open Input.
Keep the three sample articles: Artificial intelligence, OpenAI and Python (programming language), on en.wikipedia.
Keep mode as articles and granularity as daily. Leave dates blank for the recent 30-day window.
Click Start.
Open Pageviews. Check article, date and views. Open Run summary for totals and peaks.

Use cases

Task	Input	Useful output
Follow reading activity for a brand or topic	Exact titles in articles	date, views, total, average, peakDate
Prepare a daily editorial topic list	top + project + date	article, rank, views, articleUrl
Compare language editions	Per-article projects	project, article, date, views
Flag changes in reading activity	spikeWindow + spikeThreshold	baselineAverage, spikeRatio, spike

Tips for better results

Use exact article titles, not links.
A run covers up to 90 days. Use monthly mode for whole months.
Set the project per article to mix languages.

Limits and good to know

Wikipedia language projects only. No country charts, article text, unique readers or edit counts
Up to 50 input articles and 90 inclusive days. Monthly mode needs full months; partial months are rejected
Top lists are for one project/day, with up to 1000 source entries. They include namespaces and may contain fewer entries
user is the default series agent. Top has no configurable agent filter
Source data starts in July 2015 and arrives after the UTC day ends. Two-day lag is a safe default, not a source availability guarantee
Renames and redirects remain separate titles. Counts can differ from a tool that combines redirect views
Insufficient or zero spike baseline returns null, not infinity or an invented spike
maxResults or charge limit: run succeeds with partial and MAX_RESULTS or CHARGE_LIMIT

Troubleshooting

Symptom	Check	Action
INVALID_INPUT	Exact titles, object arrays, date format/order, supported project and numeric limits	Correct input. Monthly needs full calendar months. Empty API input is invalid.
not_found with null views	Title, project and requested date	Try a known earlier date or the exact current/old title. Do not read null as zero.
partial / MAX_RESULTS	Saved row count and article summary complete flag	Raise maxResults within the 4500 limit or split the input.
partial / CHARGE_LIMIT	Maximum cost and saved row count	Raise the spending cap for a rerun; the rerun bills again.
partial / SOURCE_DATES_MISSING	`missingDates` in the article summary	New or renamed article, or a very recent date. Gaps are not zero views.
SOURCE_ERROR or DEADLINE	Run summary and smaller known input	Retry later or reduce input size. Do not treat failure as no interest.
SOURCE_FORMAT	Source response has an unexpected shape or identity	Report the run ID.
No spikes	Baseline length, zero baseline and multiplier	Use enough periods or reduce spikeWindow; top does not calculate spikes.

For developers

Sample result

One result from a real test run, in JSON. Real values change from run to run. In Excel or CSV each field is a column.

one result · JSON

{
  "project": "en.wikipedia",
  "article": "Artificial intelligence",
  "date": "2026-09-01",
  "views": 12087,
  "access": "all-access",
  "agent": "user",
  "granularity": "daily",
  "rank": null,
  "status": "complete",
  "reason": null,
  "spike": null,
  "spikeRatio": null,
  "baselineAverage": null,
  "provider": "Wikimedia Analytics API",
  "licence": "CC0-1.0",
  "sourceUrl": "https://wikimedia.org/api/rest_v1/metrics/pageviews/per-article/en.wikipedia/all-access/user/Artificial_intelligence/daily/2026090100/2026090300",
  "articleUrl": "https://en.wikipedia.org/wiki/Artificial_intelligence",
  "fetchedAt": "2026-10-14T00:38:24.694Z",
  "sourceUpdatedAt": null
}

Data fields (19)

Field	Type	Meaning
`project`	string	Normalized Wikipedia project, such as en.wikipedia.
`article`	string	Article title with spaces. Empty on a missing top list.
`date`	string	UTC day YYYY-MM-DD; month start for monthly buckets.
`access`	string	Traffic access channel.
`granularity`	string	daily or monthly.
`provider`	string	Wikimedia Analytics API.
`licence`	string	CC0-1.0 for these numerical metrics.
`sourceUrl`	string	Fixed Wikimedia metrics URL for this query.
`articleUrl`	string	Exact Wikipedia title URL. Empty for unavailable top lists.
`fetchedAt`	string	UTC time of reading the source.
`status`	string	complete for a view point or ranked entry, not_found for unavailable source data.
`views`	integer	Number of views, zero preserved; null on not_found.
`rank`	integer	Original top rank, null for series or unavailable data.
`agent`	string	Article traffic agent; null for top because endpoint has no agent filter.
`reason`	string	NO_DATA_FOR_TITLE_PROJECT_OR_DATE for 404; otherwise null.
`spike`	boolean	True at or above threshold; null if missing/zero baseline or top mode.
`spikeRatio`	number	Views divided by positive rolling baseline; null otherwise.
`baselineAverage`	number	Mean previous spikeWindow points; null if not enough points or top.
`sourceUpdatedAt`	string	Always null: endpoint provides no revision timestamp.

Input settings (12)

The main fields of the input form. With the API you send them as JSON.

Setting	Name in the API	Type	Example value
Mode	`mode`	string	`"articles"`
Articles	`articles`	array	`[{"project": "en.wikipedia", "title": "Artificial intelligence"}, {"project": "en.wikip…`
Wikipedia project	`project`	string	`"en.wikipedia"`
Start date	`startDate`	string
End date	`endDate`	string
Top date	`date`	string
Access	`access`	string	`"all-access"`
Agent	`agent`	string	`"user"`
Granularity	`granularity`	string	`"daily"`
Spike multiplier	`spikeThreshold`	number	`2`
Baseline points	`spikeWindow`	integer	`7`
Maximum rows	`maxResults`	integer	`4500`

Use cases with this tool

Each guide shows all the steps and the other tools.

SEO data without a big suite

Wikipedia Pageviews and Trends Monitor

How it will work: 3 steps