AgentQL is an advanced, AI-driven platform designed for seamless data extraction and web automation. Unlike conventional methods that rely on brittle XPath or DOM selectors, AgentQL utilizes artificial intelligence to intelligently locate web elements based on their semantic meaning and context. This innovative approach makes data extraction more resilient, adapting to changes in web designs effortlessly. AgentQL enables users to quickly gather and manipulate data from various web pages, streamlining the data collection process for businesses and developers alike.

Faraday Web Researcher Agent is a Python-based AI agent that streamlines online research by automatically browsing websites, scraping relevant data, and generating comprehensive summaries. Utilizing OpenAI’s large language models and the LangChain framework, it chains multiple web navigation and processing steps to ensure thorough coverage. Users specify their research objectives, such as gathering statistics, extracting key points, or compiling literature reviews, and the agent executes the workflow, handling pagination and dynamic content. The output can be exported in JSON or CSV, enabling easy integration with analytics tools. By automating repetitive research tasks, Faraday enhances productivity, reduces human error, and accelerates insights for academia, marketing, competitive intelligence, and more.