Join us for this practical webinar where you'll learn the essential techniques for training effective Browse AI robots to extract precisely the data you need. Whether you're new to the platform or looking to enhance your existing robots, this session will equip you with the skills to create reliable, accurate data extraction tools. — What you'll learn — • Robot configuration fundamentals: Master the essential settings that ensure your robot captures the right data every time • Data point selection: Learn how to make sure you select the optimal data fields to extract • Testing methodologies: Implement a systematic approach to verify your robot's accuracy before deployment • Understanding pagination: Make sure you handle pagination correctly, or you might miss some data. • Refinement workflows: Establish processes for iteratively improving your robots based on real-world performance — Live demonstration — Watch as we build and refine robots for different scenarios: • Create a basic robot and progressively enhance its capabilities • Troubleshoot common extraction issues in real-time • Apply best practices for handling dynamic content and pagination • Optimize robots for speed and reliability • Implement validation checks to ensure data quality — Who should attend — • New Browse AI users looking to build their first effective robots • Experienced users wanting to enhance their robot's reliability • Business analysts seeking more accurate competitive intelligence • Researchers who need consistent data collection over time • Anyone who has created robots that occasionally miss data or break — Prerequisites — Basic familiarity with the Browse AI platform is helpful but not required. This webinar complements our "Browse AI 101" session but can be enjoyed as a standalone learning experience. Register now to master the art of training robots that consistently deliver the web data you need!