Google News to Markdown for RAG
Sunburst
Search Google News for any topic and get each article as clean Markdown, split into RAG-ready chunks with title, publisher, date, and URL metadata. Full text is extracted where the publisher allows it; otherwise you still get the headline and summary. Drop the chunks straight into a vector database. Pay per article.
Input
Output fields
Sign up on Apify or log in
The Google News Scraper: Full-Text Articles to Markdown Actor is ready to run with the inputs already set for "Google News 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 "Google News to Markdown for RAG" task
The Google News Scraper: Full-Text Articles to Markdown Actor will start running based on the input automatically. You can also change all the input fields, like keywords / queries, language and region, and more, to match your specific use case.
Receive the "Google News 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 title, article url, section, 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 "Google News to Markdown for RAG" task via API.
