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Web pages to clean Markdown for LLMs

Turns web pages into clean Markdown an LLM can read: navigation and page furniture removed, headings, tables and links kept, with word and token counts. The example converts two Wikipedia articles; paste any public URLs.

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PDF to Markdown & Text Extractor (Failed Files Free)
PDF to Markdown & Text Extractor (Failed Files Free)locaihost/doc-to-markdown
File name
Title
Format
Pages
+6 fields
Text
Number
Boolean
List
Object

Input

Document URLs
url:https://en.wikipedia.org/wiki/Retrieval-augmented_generation+1
Output mode:document

Output fields

File name
Title
Format
Pages
Words
Billed pages
Needs OCR
Error
Source
Markdown

How it works

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The PDF to Markdown & Text Extractor (Failed Files Free) Actor is ready to run with the inputs already set for "Web pages to clean Markdown for LLMs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Web pages to clean Markdown for LLMs" task

The PDF to Markdown & Text Extractor (Failed Files Free) Actor will start running based on the input automatically. You can also change all the input fields, like document urls and output mode, to match your specific use case.

Receive the "Web pages to clean 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 file name, title, format, 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 "Web pages to clean Markdown for LLMs" task via API.

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