We automatically apply IP rotation and retries to every request (Free Plan included), and all our paid plans allow you to render JavaScript before extraction.
Free and paid plans can search the world's news with our News Search endpoint. Every request returns up to 100 news items, including metadata. Collect the URLs - then extract clean text with our Extractor endpoint.
Extract clean text, HTML, image and video links, authors, title, publication date, html, and raw text. Choose only the fields you need.
You can extract data from up to 1,000 URLs at a time using our online visual extractor - not just the API. The visual extractor is included in all plans.
Both the API and the visual extractor allow you to store your results in Jobs. Assign your target URLs a job name, then see their progress online or programmatically. Once the job is done, you can retrieve the results any time.
All paid accounts are able to translate to and from 55 languages. Swahili to English, Vietnamese to French, or anything you want - extract clean text and translate it with a single API call.
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Based on our record, Stack Overflow Trends should be more popular than Extractor API. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Take a look at our webscraping API - should be able to do what you need it to do. https://extractorapi.com/. Source: about 1 year ago
If you want to make it easier, we built a text extraction tool that can fit a number of use cases https://extractorapi.com/ people are using it instead of GPT for the scraping and then in certain cases feeding the data that comes from here to some broader app/use case. Just another route! Source: about 1 year ago
I'm looking for input on our tool as a pipeline for text data into your own ChatGPT use case. We know you can use ChatGPT API to do the same task, but we've found that to be costly and time-consuming for the text extraction/scraping portion. We've built a cost-effective and quick tool, Extractor API, for that use case. Would love to see what others are using outside of just relying on ChatGPT for text extraction. Source: about 1 year ago
It has, but it wasn't adopted by the pragmatists in that time. It's hard to tell if the early adopters adopted it either - It doesn't show up at all in the 2023 stack overflow survey (nor in the previous two years) - https://survey.stackoverflow.co/2023/#technology-most-popular-technologies - It doesn't show up in questions asked on Stackoverflow since 2008 -... - Source: Hacker News / 7 months ago
> In 2017 I had React projects in production for years. I doubt that. React wasn't stable until 2015, and wasn't mainstream until 2016. > And it only got worse and the overengineering to make it looks fast in the first load is not worth it as modern JS frameworks are faster than React out-of-the-box. Again, Next.js != React; the former builds on the latter, it doesn't replace it nor does it claim to be the same... - Source: Hacker News / 8 months ago
> Prior to Next.js, React was hard to setup and maintain No, it wasn't. > I started using Next.js in 2017. It made React a real production framework In 2017 I had React projects in production for years. > React was hard to setup and maintain and hard to make it go fast (on first load) And it only got worse and the overengineering to make it looks fast in the first load is not worth it as modern JS frameworks are... - Source: Hacker News / 8 months ago
Based on what? https://insights.stackoverflow.com/trends?tags=python%2Cjava. - Source: Hacker News / 10 months ago
Fair enough, my information is outdated. StackOverflow agrees. [1] [1] https://insights.stackoverflow.com/trends?tags=django%2Cruby-on-rails. - Source: Hacker News / 10 months ago
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