AgentQL

AI-powered alternative to XPath selectors

1.0•1 review•

904 followers

AI-powered alternative to XPath selectors

1.0•1 review•

904 followers

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Automation tools

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AI Coding Agents

No more diving into complex DOM structures or writing fragile XPath expressions. Just specify what data you are scraping from the web with natural language-like queries, and AgentQL handles the rest.

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Launch tags:Developer Tools•Artificial Intelligence•Data & Analytics

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Promoted

This is really cool. How accurate are the results?

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2yr ago

AgentQL

Maker

@shikha2699 We have been focused on accuracy and consistency and have a pretty confident result so far. But would definitely love to hear from you Shikha. Please reach out to us at https://discord.com/invite/agentql to understand for any thoughts and anything we can be helpful. we are all ears!

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2yr ago

Elisi : AI-powered Goal Management App

Sounds intriguing, Shuhao! 👋 I'm curious about the learning curve for new users. How does AgentQL simplify the transition for those unfamiliar with natural language queries? Also, any specific use cases you've seen that highlight the efficiency improvements?

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2yr ago

AgentQL

Maker

Hey, Ema! We hope that the transition can be smooth and easy, since you can write queries that just seem intuitive (like "search_button" or "products[] {name price}", and of course, we're listening for feedback from everyone on what that experience of reaching the magic "Aha!" moment looks like and how we can continue to improve it. Check out our docs portal here! https://docs.agentql.com/quick-s... As for use-cases with efficiency improvements, there's been a few! Just the development velocity of standing up enterprise-ready workflows has been extremely quick for us internally due to getting to focus more on the business logic and service infrastructure rather than wrestling with the page structures underneath. Working with websites that are prone to changing their DOM structure subtly and not having to worry about covering all the possibilities has been a noticeable improvement as well. Or people who are working with similar shapes of pages across different domains, such as in the e-commerce space, who are able to reduce the amount of similar, but repeated, code across different sites!

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2yr ago

AgentQL

Maker

@ema_elisi Thanks Ema! You can start with the Playground tool - https://playground.agentql.com/. We aim to smooth the learning curve as we iterate the product further, striking a balance between usability and reliability. Your continuous feedback will be invaluable to us and looking forward to hearing from you more.

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2yr ago

Hey Shuhao, this is super exciting! 🚀 The struggle with fragile XPath selectors is real, and AgentQL looks like a game-changer. Automating web interactions using natural language will really save time for makers like us. Looking forward to seeing how this evolves! Upvoted!

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2yr ago

AgentQL

Maker

Thanks for the upvote! 🚀 We're pumped that you're excited about AgentQL. The struggle with fragile XPath selectors is something we’ve all felt, and our goal is to make that a thing of the past. Automating web interactions with natural language is just the start—we're looking forward to seeing how this evolves too. Can’t wait to see what makers like you will build with it!

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2yr ago

Excited to see AgentQL tackling such a significant challenge in web automation! The ability to use natural language for element identification could really streamline workflows. Kudos to @shuhao_zhang and the team for this innovative approach. Can't wait to give it a try!

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2yr ago

AgentQL

Maker

Let us know what you think! We hope we can make many developer lives easier with this approach that's both easy to stand up and easy to maintain while remaining accurate!

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2yr ago

AgentQL

Maker

@dance17219 Thanks for the support! We’re excited too, especially about how using natural language for element identification can streamline workflows. Kudos to the team indeed! We can’t wait for you to give it a try!

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2yr ago

AgentQL is a groundbreaking tool that would redefine web automation by enabling seamless AI-driven interactions with any website using natural language. AgentQL, is turning the challenges of brittle scripts and tedious manual coding into a thing of the past, empowering developers and data engineers to achieve more with less effort. Kudos to the team!

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2yr ago

AgentQL

Maker

@urvish_thakker 🚀🚀🚀

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2yr ago

Very cool when AI meets web scraper.

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2yr ago

AgentQL

Maker

@nioleads It really is!

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2yr ago

AgentQL

Maker

@nioleads Thank you for your support! Feel free to ask us any questions in our Discord too!

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2yr ago

Congrats on the launch, Shuhao! AgentQL sounds like a game changer for web automation. The natural language queries are a big step forward for ease of use. Excited to see how it evolves!

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2yr ago

AgentQL

Maker

@big_tree Thanks a lot! Looking forward to hearing your feedback!

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2yr ago

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Review AgentQL?

AgentQL is highly praised for its intuitive and user-friendly approach to web scraping, eliminating the need for complex DOM navigation or fragile XPath expressions. Users appreciate its ability to simplify traditional web scraping methods, making it an invaluable tool for their work. The product is described as innovative, convenient, and frequently useful, with many users expressing admiration for the team's efforts. Overall, AgentQL receives strong recommendations for its impressive performance and ease of use.

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