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Extract clean article HTML (reader mode) from blog posts

Get the main content of blog posts as cleaned reader-mode HTML — plus Markdown, plain text, title, author and date — with ads, navigation and comments stripped. Useful for republishing pipelines, e-readers and newsletters.

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Article Scraper & Text Extractor – Clean Markdown for LLM/RAG
Article Scraper & Text Extractor – Clean Markdown for LLM/RAGforevertools/article-extractor
Url
Title
Author
Published date
+5 fields
Text
Number
Boolean
List
Object

Input

URLs(required):https://www.joelonsoftware.com/2000/08/09/the-joel-test-12-steps-to-better-code/+1
Include cleaned HTML:true

Output fields

Url
Title
Author
Published date
Site name
Language
Word count
Status code
Error

How it works

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The Article Scraper & Text Extractor – Clean Markdown for LLM/RAG Actor is ready to run with the inputs already set for "Extract clean article HTML (reader mode) from blog posts". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract clean article HTML (reader mode) from blog posts" 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 and include cleaned html, to match your specific use case.

Receive the "Extract clean article HTML (reader mode) from blog posts" 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 "Extract clean article HTML (reader mode) from blog posts" task via API.

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