Go to example tasks
Convert Wikipedia articles to Markdown for LLMs
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.
URL to Markdown - Web Page to LLM-Ready Text for AI Agentstenfoldfleet/url-to-markdown
URL
Title
Words
Markdown
+2 fieldsTextNumberBooleanListObject
Input
URLs(required):https://en.wikipedia.org/wiki/Large_language_model+4
Include links:false
Output fields
URL
Title
Words
Markdown
HTTP
Error
Sign up on Apify01
Create your Apify account to access the URL to Markdown - Web Page to LLM-Ready Text for AI Agents.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
