Wikipedia RAG & AI Training Dataset
Extract clean Wikipedia article text for RAG pipelines and LLM fine-tuning datasets. Returns chunked, structured content ready for vectorization.
Input
Output fields
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The Wikipedia Scraper [π°$0.7/1K] | Structured Data | RAG Actor is ready to run with the inputs already set for "Wikipedia RAG & AI Training Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Wikipedia RAG & AI Training Dataset" task
The Wikipedia Scraper [π°$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 RAG & AI Training 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, 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 RAG & AI Training Dataset" task via API.
