Extract Wikipedia articles as clean text
Get the main text of Wikipedia articles without navigation, infoboxes or edit links — for datasets, summaries or LLM prompts.
Input
Output fields
Sign up on Apify or log in
The Article Scraper & Text Extractor – Clean Markdown for LLM/RAG Actor is ready to run with the inputs already set for "Extract Wikipedia articles as clean text". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Extract Wikipedia articles as clean text" task
The Article Scraper & Text Extractor – Clean Markdown for LLM/RAG Actor will start running based on the input automatically. You can also change all the input fields, like URLs, to match your specific use case.
Receive the "Extract Wikipedia articles as clean text" 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 url, title, markdown, 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 "Extract Wikipedia articles as clean text" task via API.
