79 Interest Score
6 Discussions
0.08 Engagement
May 2021 Launched
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Extract data from online news & articles. Get full metadata with content, images, authors, summary, category, keywords, topics, and more. API can be used as backed for consumer facing apps. has 7 day caching already built in.

What the Community Said

Nice one! Do you use one of the hugging face summarization models?

— [REDACTED]

AI for scrapping new articles? nice

— [REDACTED]

I don't know any famous hunters or other people so hunting it myself. Pipfeed used to a mobile app and this API was the backed that was used to parse articles from any given URL. I have now shut down the app as it wasn't very profitable but I realized that the API can be quite useful for a lot of people and I have been getting interest on this over the months. People have been paying for this API already. The app is built as a mobile app backend, so if someone wants to add Reader Mode to their a

— [REDACTED]

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Frequently Asked Questions

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

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