From MCP to Scale: Pipelines That Build Themselves — Rafael Levi, Bright Data

Summary

This session focuses on efficiently collecting data at scale using LLMs by building automated pipelines instead of manual scraping. Key references include MCP for website access and LLMs for data parsing, with a practical takeaway of using Bright Data's skill sets to create self-maintaining scrapers that overcome the challenges of website changes and improve data collection efficiency.