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Wikipedia Educational Content Extractor

Scrape educational Wikipedia articles with section hierarchies, summaries, and structured content for e-learning platforms and course materials.

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Wikipedia Scraper [πŸ’°$0.7/1K] | Structured Data | RAG
Wikipedia Scraper [πŸ’°$0.7/1K] | Structured Data | RAGahmed_jasarevic/wikipedia-scraper
Title
URL
Page Title
Language
+1 field
Text
Number
Boolean
List
Object

Input

Start URLs(required)
url:https://en.wikipedia.org/wiki/Photosynthesis+2
Extract Infobox:true
Extract Section Headings:true
Extract Article Text:true
Max Text Length per Section:30000

Output fields

Title
URL
Page Title
Language
Crawled At

How it works

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The Wikipedia Scraper [πŸ’°$0.7/1K] | Structured Data | RAG Actor is ready to run with the inputs already set for "Wikipedia Educational Content Extractor". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Wikipedia Educational Content Extractor" task

The Wikipedia Scraper [πŸ’°$0.7/1K] | Structured Data | RAG Actor will start running based on the input automatically. You can also change all the input fields, like start urls, extract infobox, and more, to match your specific use case.

Receive the "Wikipedia Educational Content Extractor" 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, URL, page title, 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 Educational Content Extractor" task via API.

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