Wikipedia Article Daily Pageviews
Pricing
from $0.18 / 1,000 item extracteds
Export official Wikimedia daily Wikipedia article pageviews by title, language project, access type and date range for repeatable audience trend analysis.
You can access the Wikipedia Article Daily Pageviews 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "articles": [10 "Albert Einstein",11 "Marie Curie",12 ],13 "project": "en.wikipedia",14 "startDate": "2026-01-01",15 "endDate": "2026-01-07",16 "maxItems": 20,17}18
19# Run the Actor and wait for it to finish20run = client.actor("automation-lab/wikipedia-article-daily-pageviews").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")24for item in client.dataset(run.default_dataset_id).iterate_items():25 print(item)26
27# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Wikipedia Article Daily Pageviews API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: