AgentQL is a web automation and data extraction tool that utilizes AI to simplify the process of locating web elements using natural language queries instead of traditional, fragile methods like XPath or DOM selectors. It allows users to extract data, automate tasks, and perform end-to-end testing with a focus on robustness and ease of use. The platform offers a Chrome extension and a Python SDK for seamless integration and quick setup.
AgentQL key features
**AI-Powered Element Detection**: Utilizes AI to reliably find web elements without relying on fragile XPath or DOM selectors, adapting to website changes.
**Natural Language Queries**: Allows users to describe what they are looking for in plain English, making queries more intuitive and maintainable.
**Controlled Output Structure**: Users can define the exact structure of the output data, eliminating the need for post-processing.
**Deterministic Results**: Ensures consistent and reliable results for the same input, facilitating automation and testing.
**Multi-Use Cases**: Supports data scraping, web automation, and end-to-end testing, enhancing productivity and analytics.
AgentQL use cases
Extract structured data from websites, such as pricing details and social media metrics.
Automate repetitive tasks, including form submissions and interactions with web applications.
Streamline end-to-end testing by creating robust test suites that are resistant to UI changes.
Use natural language queries to locate web elements based on their meaning rather than relying on traditional selectors.
Generate controlled output formats for data extraction, eliminating the need for post-processing.
Useful for
**Reliable Data Extraction**: AgentQL uses AI to adapt to changes in website structures, ensuring consistent and accurate data extraction without the fragility of traditional methods like XPath or DOM selectors.
**Natural Language Queries**: Users can specify web elements using plain English descriptions, making it easier to write and maintain queries, especially for non-technical users.
**Controlled Output**: The application allows users to define the exact structure of the output data, eliminating the need for additional post-processing steps.
**Deterministic Results**: AgentQL provides consistent and reliable results for the same input, which is crucial for automating processes and conducting tests.
**Versatile Use Cases**: It supports various applications, including data scraping, web automation, and end-to-end testing, enhancing productivity and efficiency across different tasks.
Price
**Free Plan**: $0/month; up to 1,200 free API calls per month, community support, 10 API calls per minute, and full access to developer tools.
**Professional Plan**: $99/month; includes all Free Plan features, 15,000 API calls, $0.008 per additional API call, 50 API calls per minute, and priority email support.
**Enterprise Plan**: Custom pricing; includes all Professional Plan features, no rate limits, dedicated cloud instance, dedicated account manager, optional on-premise deployment, uptime SLA, and 24/7 phone and email support.
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