Identify Trending Topics on Wikipedia for Content Ideas
Created by
Crawler Bros
Discover the most-viewed articles on Wikipedia for a specific month to uncover emerging trends and high-interest subjects. This data can be used to generate tim
Wikimedia Pageviews Scrapercrawlerbros/wikimedia-pageviews-scraper
Record type
Country
Project
Article
+5 fieldsTextNumberBooleanListObject
Input
Mode(required):topArticles
Wikimedia project(required):en.wikipedia
Articles (mode=articlePageviews):Albert Einstein+1
Access method:all-access
Agent type:user
Granularity:monthly
Start date (mode=articlePageviews / aggregatePageviews):20240101
End date (mode=articlePageviews / aggregatePageviews):20240301
Top: year (mode=topArticles):2024
Top: month (mode=topArticles):02
Output fields
Record type
Country
Project
Article
Date
Views
Views ceil
Rank
Article url
Sign up on Apify01
Create your Apify account to access the Wikimedia Pageviews Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
