You can access the Wikipedia Trends: pageviews and top articles programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "articles": [
9        "ChatGPT",
10        "Bitcoin",
11    ] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("catblik/wikipedia-trends").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
18for item in client.dataset(run.default_dataset_id).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Wikipedia Trends: Pageviews & Top Articles API API in Python

The Apify API client for Python is the official library that allows you to use Wikipedia Trends: pageviews and top articles API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Wikipedia Trends: pageviews and top articles API in JavaScript

Wikipedia Trends: pageviews and top articles API through CLI

Wikipedia Trends: pageviews and top articles OpenAPI definition

Wikipedia Trends: pageviews and top articles API

Wikipedia-scraper

pluzgi/wikipedia-scraper

The scraper searches Wikipedia for a given term, extracts the titles and URLs of search results, and retrieves the last modification date from each page.

pluzgi

Trends Aggregator

miccho27/trends-aggregator

Aggregate trending topics from Google Trends, Hacker News, Reddit, GitHub, and Product Hunt. No API keys required.

Tatsuya Mizuno

5.0

(1)

Wikipedia trending - top pageviews by day/country (API)

retrainmapdata/wikipedia-trending

The 1,000 most-viewed Wikipedia articles for a day - per project (en.wikipedia, de.wikipedia, ...) or per country - plus daily view series for chosen articles, from the Wikimedia Pageviews API. Rank, article, views, date, link. Default: yesterday's English top 200.

RetrainMap Data

Wikipedia Pageviews - Daily Top Articles & Trends

loopchips/wikipedia-pageviews

What the world is actually reading. Daily top-viewed Wikipedia articles for any language edition, or the view history of specific articles. Reads Wikimedia's official metrics API, so the numbers come from the source.

Loopchips

Wikipedia Trends Scraper: Top Articles by Country

scrapemint/wikipedia-trends-scraper

What every country is looking up on Wikipedia: daily top 1000 most-viewed articles per country or language, with rank movement between runs, plus daily view timeseries for any article. Official Wikimedia API, real view counts. For SEO, content, news and market signals. Keyless.

Ken M

Wikipedia Trending Scraper - Top Pages & Pageviews

viralanalyzer/wikipedia-trending

Scrape Wikipedia trending articles, page views, and edit history. Track popular topics and analyze public interest trends.

viralanalyzer

5.0

(4)

Wikimedia Pageviews Scraper - Top Wikipedia Articles

benthepythondev/wikimedia-pageviews-scraper

Collect top Wikipedia articles for a date with project, access method, rank, views and canonical article links.

Ben

Wikipedia Scraper — Articles, Summaries & Views

ponderable_hydrometer/wikipedia-scraper

Search Wikipedia in any language — article summaries, extracts, descriptions, thumbnails & monthly pageview trends. Free keyless Wikimedia APIs. For research, content & LLMs.

Ponderable Hydrometer

Pinterest Trends Scraper

steadyscrape/pinterest-trends-scraper

Pinterest Trends' growing, top monthly, top yearly and seasonal lists for 29 markets, by interest, age and gender, plus keyword research: weekly history up to 24 months, Pinterest's own forecast, audience by age and gender, related searches and autocomplete. No login, no browser.