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news-article-to-markdown-for-rag

Turn news and blog article URLs into clean Markdown with title, author and publish date, ready for RAG and LLM ingestion.

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Article Content Extractor β€” Clean Text for RAG & LLM
Article Content Extractor β€” Clean Text for RAG & LLMtaroyamada/article-content-extractor
Status
Title
URL
Author
+6 fields
Text
Number
Boolean
List
Object

Input

Article URLs(required):https://blog.apify.com/actor-task-examples/+1
Output Format:markdown

Output fields

Status
Title
URL
Author
Published
Words
Language
Confidence
Billing event
Charged event

How it works

Sign up on Apify or log in

The Article Content Extractor β€” Clean Text for RAG & LLM Actor is ready to run with the inputs already set for "news-article-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 "news-article-to-markdown-for-rag" task

The Article Content Extractor β€” Clean Text for RAG & LLM Actor will start running based on the input automatically. You can also change all the input fields, like article urls and output format, to match your specific use case.

Receive the "news-article-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 status, title, URL, 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 "news-article-to-markdown-for-rag" task via API.

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Integrate "news-article-to-markdown-for-rag" into your workflow

Connect "news-article-to-markdown-for-rag" with 100+ integrations, or run it via API or MCP.

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