AgentQL vs. parsel vs. UI-licious vs. python-sql Comparison Chart

Forget fragile XPath or DOM selectors. AI-powered AgentQL finds elements reliably, even as websites change. Use natural language to find exact elements. Locates web elements by their meaning. Use natural language description instead of fragile XPath and DOM selectors. Get the results in exactly the shape you need. Built to be deterministic in the best way possible. Get started by installing our Chrome extension, your gateway to a seamless web scraping experience. Extract data from websites with ease. Secure your access with a unique API key, your gateway to utilizing the powerful features of AgentQL, ensuring a secure experience across your apps. Dive into the capabilities of AgentQL by writing your first query, a simple way to specify what data or web elements you want to extract from a website. Explore the power of AgentQL SDK to start automating. Quickly gather essential data, boosting analytics and insights.

Stop writing brittle tests with hard-coded CSS, XPATH selectors and waits. Write tests that are meaningful to people, effortless to maintain, and reusable. The reason for this is because writing your tests using hard-coded CSS and XPATH selectors is like pouring concrete onto a specific UI implementation. This creates very high-maintenance tests that break at the slightest changes to the UI and are very hard for humans to read. UI-licious uses dynamic code analysis to understand the structure of your website based on the use of semantic HTML and ARIA accessibility attributes, as well as context of the previous commands, to identify which is the intended element to target for every command. This means that even if the HTML code for the UI changes underneath the code, the test is valid as long as the user journey remains the same. That said, your website doesn't to be written perfectly for UI-licious to work.