Extract article text and metadata from a URL as JSON

Created by

George Kioko

Actor

Web Content Extractor API — URL to JSON

For developers and AI agents who need structured content from any web page. The run fetches the URL, detects whether it is an article, product, recipe or job post, and returns URL, title, content type, author, date, word count and the article text as a dataset row.

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Web Content Extractor API — URL to JSONgeorge.the.developer/web-content-extractor-api

URL

Title

Type

Author

+2 fields

Input

URL(required):https://en.wikipedia.org/wiki/Web_scraping

Output Format:article

Output fields

URL

Title

Type

Author

Date

Words

How it works

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The Web Content Extractor API — URL to JSON Actor is ready to run with the inputs already set for "Extract article text and metadata from a URL as JSON". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract article text and metadata from a URL as JSON" task

The Web Content Extractor API — URL to JSON Actor will start running based on the input automatically. You can also change all the input fields, like URL and output format, to match your specific use case.

Receive the "Extract article text and metadata from a URL as JSON" 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, type, 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 text and metadata from a URL as JSON" task via API.