Convert Wikipedia articles to Markdown for LLMs

Created by

Tenfold Fleet

Actor

URL to Markdown - Web Page to LLM-Ready Text for AI Agents

Export Wikipedia articles as clean Markdown text with section headings, lists and tables (infoboxes become tables), without the sidebar, edit links or site footer. Links are turned off for compact, token-efficient text for LLM prompts, RAG knowledge bases and dataset building. Returns markdown, title, language and word count per article.

Try for free

URL to Markdown - Web Page to LLM-Ready Text for AI Agentstenfoldfleet/url-to-markdown

URL

Title

Words

Markdown

+2 fields

Input

URLs(required):https://en.wikipedia.org/wiki/Large_language_model+4

Include links:false

Output fields

URL

Title

Words

Markdown

HTTP

Error

How it works

Sign up on Apify or log in

The URL to Markdown - Web Page to LLM-Ready Text for AI Agents Actor is ready to run with the inputs already set for "Convert Wikipedia articles to Markdown for LLMs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Convert Wikipedia articles to Markdown for LLMs" task

The URL to Markdown - Web Page to LLM-Ready Text for AI Agents Actor will start running based on the input automatically. You can also change all the input fields, like URLs and include links, to match your specific use case.

Receive the "Convert Wikipedia articles to Markdown for LLMs" 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, words, 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 "Convert Wikipedia articles to Markdown for LLMs" task via API.