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AgentQL

AgentQL

Painless data extraction and web automation

AgentQL AgentQL AgentQL AgentQL
AgentQL
About Details
Name: AgentQL
Submited By: Tyrique Lind
Release Date 10 months ago
Website Visit Website
Category Developer Tools Data & Analytics

Forget fragile XPath or DOM selectors. AI-powered AgentQL finds elements reliably, even as websites change. Just specify what data you are scraping from the web with natural language-like queries, and AgentQL will handle the rest.


Eino Klein

impressive, simple, working, smart, bravo!

10 months ago


Hugh Borer

The idea of using natural language to find web elements sounds like a huge relief from dealing with fragile selectors. It could make web scraping and automation so much easier.

1 year ago


Malachi Armstrong

AgentQL sounds like a game changer for web scraping. The ability to use natural language for data extraction is such a refreshing pivot from those outdated XPath and DOM selectors. It’s about time we stopped spending hours on fragile scripts! I love the idea of maintaining fewer brittle scripts too. Just thinking about the time saved and the productivity boost you mentioned—definitely upvoting this! The struggle of keeping everything running smoothly with UI changes is real, and it seems AgentQL has it all figured out. Can’t wait to try this out in my workflow. Here’s to a future where we can just say what we need instead of wrestling with selectors.

1 year ago


Roy Kris

This is brilliant! The only thing I would change is to keep the flow 100% no-code by serving it to non-technical people (like Apify)

1 year ago


Sedrick Hirthe

Congratulations for winning the Product of the Day!!

1 year ago


Hugh Borer

A truly painful topic for any test automation engineer or developer writing scrapers. I have a lot of experience in this, and indeed, selectors change quite often. It's a great solution, especially for developers. I'm also trying to address this issue, but for regular scraper users. That's why I created a product that retrieves the necessary information, but inside, the algorithm still involves searching for selectors through AI. Upvoted🙂

1 year ago


Johnpaul Crona

Super cool! Looking forward to trying it out.

1 year ago


Felipe Sanford

AgentQL is impressively accessible as a tool for web data extraction, especially suitable for enhancing AI search engines. It streamlines the cumbersome process of selecting the right web elements, which speeds up data collection. Moreover, it supports the use of custom code, allowing for sophisticated processing of the extracted data tailored to AI-driven search functionalities.

1 year ago


Mortimer Powlowski

A great tool, excited to see the full scope of AgentQL's capabilities!

1 year ago


Halle Wilkinson

make a movie

1 year ago


Adam Zemlak

congratulations on the launch although I haven't tried the product but it will a very good fit for SEOs

1 year ago


Maxwell Blanda

AgentQL is a very user-friendly tool that can always find what you need from a complex page, which is impressive. Especially its ability to understand the layout of the page helps us close pop-ups and overlays, making our automation process much smoother. It's fantastic!

1 year ago


Charley Swift

If this can help me gather data more reliably and with less hassle, I’m all for it. It looks like it could simplify the process of web automation a lot.

1 year ago


Korbin Effertz

This is really cool. How accurate are the results?

1 year ago


Trenton Spencer

AgentQL seems like a revolutionary tool for web scraping and automation! The use of AI to understand the context behind web elements makes it far more intuitive than traditional XPath or CSS selectors. The flexibility to write natural language queries is a game changer, reducing fragility when websites change their layouts. Perfect for developers who want to automate tedious tasks or extract data without constant maintenance. Definitely a tool worth trying for anyone into web automation, testing, or scraping!

1 year ago