Full Wikipedia Article Text for RAG & Knowledge Bases
The complete plain text of Wikipedia articles (here: Machine learning, Large language model, Artificial intelligence) with headings kept, a table of contents, description, Wikidata id and URL. For AI engineers building RAG pipelines, chatbots and knowledge bases. Replace the queries, or set lang (de, fr, es, ja…) to read another Wikipedia edition.
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Output fields
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The Wikipedia Scraper — Search, Summaries & Full Text Actor is ready to run with the inputs already set for "Full Wikipedia Article Text for RAG & Knowledge Bases". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
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The Wikipedia Scraper — Search, Summaries & Full Text Actor will start running based on the input automatically. You can also change all the input fields, like search queries or page titles, language edition, and more, to match your specific use case.
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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 query, title, short description, and more.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Full Wikipedia Article Text for RAG & Knowledge Bases" task via API.
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