Extract news articles as clean text for LLM summaries

Created by

Forever Tools

Actor

Article Scraper & Text Extractor – Clean Markdown for LLM/RAG

Turn news article URLs into clean text and Markdown with headline, author, publish date and word count — ads and navigation removed — ready for LLM summarisation, sentiment analysis or a news monitoring feed.

Try for free

Article Scraper & Text Extractor – Clean Markdown for LLM/RAGforevertools/article-extractor

Url

Title

Markdown

Error

Input

URLs(required):https://www.bbc.co.uk/news/articles/cme30dz5vkzko+1

Output fields

Url

Title

Markdown

Error

How it works

Sign up on Apify or log in

The Article Scraper & Text Extractor – Clean Markdown for LLM/RAG Actor is ready to run with the inputs already set for "Extract news articles as clean text for LLM summaries". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract news articles as clean text for LLM summaries" 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, to match your specific use case.

Receive the "Extract news articles as clean text for LLM summaries" 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, markdown, 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 news articles as clean text for LLM summaries" task via API.