Extract article headline, author, date and summary

Created by

Brisa Works

Actor

AI Web Scraper – JSON Schema Data Extractor

Turn blog posts and news articles into JSON for a reading list, a newsletter or an AI pipeline: headline, authors, publication and update dates, publisher, language, a 2-3 sentence summary, key points and tags. The example reads the Crawlee for Python v1 announcement.

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AI Web Scraper – JSON Schema Data Extractorbrisaworks/schema-json-extractor

URL

Status

Valid

Data

+5 fields

Input

Start URLs(required)

url:https://crawlee.dev/blog/crawlee-for-python-v1

Preset schema:article

Output fields

URL

Status

Valid

Data

Preset

Validation errors

Truncated

Model

Error

How it works

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The AI Web Scraper – JSON Schema Data Extractor Actor is ready to run with the inputs already set for "Extract article headline, author, date and summary". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract article headline, author, date and summary" task

The AI Web Scraper – JSON Schema Data Extractor Actor will start running based on the input automatically. You can also change all the input fields, like start urls and preset schema, to match your specific use case.

Receive the "Extract article headline, author, date and summary" 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, status, valid, 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 article headline, author, date and summary" task via API.