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Convert several URLs to Markdown for RAG

Turn a batch of article or documentation URLs into clean Markdown in one run, ready to chunk and embed for a RAG pipeline. Example uses two Wikipedia pages and a Python.org page.

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Article Extractor β€” Web Page to Markdown & Clean Text
Article Extractor β€” Web Page to Markdown & Clean Textkeyman98/article-extractor
URL
Title
Author
Published
+4 fields
Text
Number
Boolean
List
Object

Input

URLs(required):https://www.python.org/doc/essays/blurb/+2
Output format:markdown

Output fields

URL
Title
Author
Published
Site
Word count
Text
Error

How it works

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The Article Extractor β€” Web Page to Markdown & Clean Text Actor is ready to run with the inputs already set for "Convert several URLs to Markdown for RAG". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Convert several URLs to Markdown for RAG" task

The Article Extractor β€” Web Page to Markdown & Clean Text Actor will start running based on the input automatically. You can also change all the input fields, like URLs and output format, to match your specific use case.

Receive the "Convert several URLs to Markdown for RAG" 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, author, 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 several URLs to Markdown for RAG" task via API.

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