Fetch exact Wikipedia pages for a RAG dataset
Automation Lab
Wikipedia Scraper
Fetch known Wikipedia pages by exact title and export full plaintext, categories, Wikidata IDs, descriptions, and canonical URLs for RAG.
Input
Output fields
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The Wikipedia Scraper Actor is ready to run with the inputs already set for "Fetch exact Wikipedia pages for a RAG dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Fetch exact Wikipedia pages for a RAG dataset" task
The Wikipedia Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, exact article titles, and more, to match your specific use case.
Receive the "Fetch exact Wikipedia pages for a RAG dataset" 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, introductory summary, 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 "Fetch exact Wikipedia pages for a RAG dataset" task via API.
Integrate "Fetch exact Wikipedia pages for a RAG dataset" into your workflow
Connect "Fetch exact Wikipedia pages for a RAG dataset" with 100+ integrations, or run it via API or MCP.
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