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LLM-Ready News Article Dataset

Extract full news articles from multiple publication feeds as clean text and Markdown with word counts and token estimates for RAG workflows.

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News & Article Extractor
News & Article Extractorautomation-lab/news-article-extractor
Title
Article URL
Published date
Author
+8 fields
Text
Number
Boolean
List
Object

Input

🌐 Website URLs(required):https://feeds.bbci.co.uk/news/rss.xml+1
Max Articles per Site:20
Extract Full Article Content:true
Include Images:false
Request Timeout (seconds):45
Max Retries per Request:2

Output fields

Title
Article URL
Published date
Author
Content
Markdown
Word count
Token estimate
Source domain
Discovery method
Success
Error

How it works

Sign up on Apify or log in

The News & Article Extractor Actor is ready to run with the inputs already set for "LLM-Ready News Article Dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "LLM-Ready News Article Dataset" task

The News & Article Extractor Actor will start running based on the input automatically. You can also change all the input fields, like 🌐 website urls, max articles per site, and more, to match your specific use case.

Receive the "LLM-Ready News Article Dataset" 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 title, article url, published date, 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 "LLM-Ready News Article Dataset" task via API.

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Integrate "LLM-Ready News Article Dataset" into your workflow

Connect "LLM-Ready News Article Dataset" with 100+ integrations, or run it via API or MCP.

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