Turn any news article into a source of structured data

We think we’ve built the best news parser on the market. Here’s why.

We’ve been building news parsers for over a year. We’ve tried many open-source solutions, and we know they are not as good as they should be. The biggest problems are:

• published time parsing
• author name parsing
• clear text separation

We continually update our internal news parsers for our own backend for News API. As a result, we came up with something which consistently returns clear results where it is possible.

The code is written in Python and JS. Our API can serve hundreds of concurrent requests.

From each URL of an online-published news article, we can extract:

• published time
• modified time
• thumbnail image
• title
• author(s)
• language
• summary
• topic
• opinion/non-opinion [English articles only]
• Twitter account of publisher
• tags
• media images
• full text of the article

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Example of the response object

Go ahead and try it yourself