Building AI agents with real-time web data: Bright Data MCP + Gemini workshop
AI Engineer · youtube · 2026-10-11
Yohan Raju (Bright Data) demonstrates a product intelligence agent that checks an Amazon listing, searches Reddit for discussion of the same product, and turns prices, ratings, and customer sentiment into a purchase recommendation using Bright Data APIs and Gemini — arguing agents need fresh, structured evidence rather than relying on stored knowledge.
Key segments:
- Why scraping gets harder at scale: page discovery, changing selectors, layout differences, browser/proxy infrastructure, field validation and downstream delivery.
- Bright Data's MCP server as an interface to search, page extraction, and browser tools, compared with traditional scraping pipelines.
- A side-by-side Glassdoor demo showing access barriers with and without MCP.
- A job-data use case: continuously updating openings, salaries, and locations alongside historical records, extendable to resume matching.
- Live notebook results and how the same collect-and-analyze pattern extends beyond ecommerce.
Code: github.com/brightdata/brightdata-mcp
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