
In this video, I'll guide you through creating an AI-powered web scraping system using OpenAI's new structured outputs and Bright Data's web unlocker feature. By the end of this tutorial, you'll learn how to build an application that can answer queries with real-time web data while avoiding common scraping pitfalls. Follow along as I demonstrate how to set up Bright Data's proxy and scraping infrastructure, leverage Node.js libraries like Puppeteer for browser emulation, and integrate these components to scrape and process data effectively. Links: https://platform.openai.com/api-keys https://brdta.com/developers_digest ($25 in Free Credits) Answer Engine Repo: https://git.new/answr Bright Data Repo: https://github.com/developersdigest/bright-data 00:00 Introduction to AI-Powered Web Scraping 01:58 Setting Up Bright Data Account 02:18 Configuring Web Unlocker Feature 02:58 Benefits of Using Bright Data 04:49 Leveraging Puppeteer for Advanced Scraping 05:55 Coding the Bright Data Server 09:20 Implementing the Web Unlocker 10:12 Handling Puppeteer Logic 13:17 Integrating with OpenAI 17:14 Final Thoughts and Conclusion
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