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Turn News Articles into Clean JSON for LLMs

Convert article pages into structured JSON — title, author, date, summary, key points — ready to feed an LLM or RAG pipeline. For devs building AI apps.

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AI Web Extractor
AI Web Extractorfuze/ai-web-extractor
URL
OK
Extracted data
Error
Text
Number
Boolean
List
Object

Input

URLs(required):https://blog.apify.com/
What to extract(required):Extract the article title, author, publish date, and a 2-sentence summary.

Output fields

URL
OK
Extracted data
Error

How it works

Sign up on Apify or log in

The AI Web Extractor Actor is ready to run with the inputs already set for "Turn News Articles into Clean JSON for LLMs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Turn News Articles into Clean JSON for LLMs" task

The AI Web Extractor Actor will start running based on the input automatically. You can also change all the input fields, like URLs and what to extract, to match your specific use case.

Receive the "Turn News Articles into Clean JSON for LLMs" 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, OK, extracted data, 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 "Turn News Articles into Clean JSON for LLMs" task via API.

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Integrate "Turn News Articles into Clean JSON for LLMs" into your workflow

Connect "Turn News Articles into Clean JSON for LLMs" with 100+ integrations, or run it via API or MCP.

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