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Wikipedia articles on web scraping and Apify

Fetches the English Wikipedia articles "Web scraping" and "Apify" with summary, full text, infobox and categories, one row per article. Replace the titles or the language code to build clean text for a knowledge base, an AI dataset or a research corpus.

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Wikipedia Scraper
Wikipedia Scraperdevilscrapes/wikipedia-article-scraper
Title
Description
Lang
Modified
Text
Number
Boolean
List
Object

Input

Article titles or URLs(required):Web scraping+1
Language code:en
Include full plain-text body:true
Include references list:false

Output fields

Title
Description
Lang
Modified

How it works

Sign up on Apify or log in

The Wikipedia Scraper Actor is ready to run with the inputs already set for "Wikipedia articles on web scraping and Apify". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Wikipedia articles on web scraping and Apify" task

The Wikipedia Scraper Actor will start running based on the input automatically. You can also change all the input fields, like article titles or urls, language code, and more, to match your specific use case.

Receive the "Wikipedia articles on web scraping and Apify" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, description, lang, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Wikipedia articles on web scraping and Apify" task via API.

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Integrate "Wikipedia articles on web scraping and Apify" into your workflow

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