How to Scrape Any Website Using Bright Data MCP Server and AI Agents
Source: Dev.to
Overview
I discovered the Bright Data MCP (Model Context Protocol) server through Noah Kalson and decided to experiment with this powerful tool.
Bright Data MCP server is a unified, AI‑ready access layer that provides seamless, scalable, and unblockable access to any public website, enabling LLMs, agents, and apps to retrieve, discover, and extract web data in real time.
The challenge I set out to solve was scraping a public site like Nike.com, specifically men’s sneakers, and presenting the data (product name, price, availability, and link) in an easily viewable format.
Using Bright Data MCP, the application can retrieve both static and dynamic content without the need to build or maintain complex scraping infrastructure.
Technologies Used
- LangChain – Connects to multiple servers or LLM providers simultaneously.
- LangGraph – Links request points (nodes) together to form a workflow.
- Next.js – React framework for building a scalable, user‑friendly UI.
- Python (FastAPI) – Backend server handling API requests.
- Claude (Anthropic API) – Orchestrates multiple operations within the workflow.
Demo
A walkthrough of the final product is available in this video:
Scraping Bright Data MCP Demo
Source Code
The full source code is open‑source and can be explored here:
GitHub Repository – bright_data
Try It Yourself
Give the app a spin and search for your favorite Nike sneaker:
bright-two.vercel.app