Data

Bright Data

Access real-time web data for market research, bypassing restrictions and bot detection.

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Mind the Product take

Bright Data is the enterprise-grade option for web data collection, and this MCP server brings that capability to your AI agent. When Firecrawl gets blocked or you need data from sites with aggressive bot protection, Bright Data's residential proxy network gets through. For product builders doing competitive intelligence at scale - monitoring pricing across dozens of competitors, tracking market trends, or gathering industry benchmarking data - this is the heavy artillery.

How product builders use Bright Data

  • 1Gather competitive pricing data from sites with bot protection
  • 2Monitor competitor product pages for feature and positioning changes
  • 3Collect market research data at scale from multiple sources
  • 4Track industry benchmarking data across regions and markets
  • 5Build comprehensive competitive intelligence reports automatically
web-dataresearchscraping

Getting started

From the official Bright Data README

Overview

The Bright Data MCP server gives AI agents real-time access to public web data. It exposes 69 tools covering:

  • Web search — Google, Bing, and Yandex results as structured data
  • Page scraping — any URL as Markdown or HTML, with bot detection, CAPTCHA solving, and proxy rotation handled automatically on every request
  • Structured data extraction — clean JSON from Amazon, LinkedIn, Instagram, TikTok, YouTube, X, Reddit, Facebook, Crunchbase, Zillow, and other major platforms, without parsing HTML
  • Browser automation — navigate, click, type, screenshot, and read pages in a remote browser session
  • LLM response collection — send prompts to ChatGPT, Grok, and Perplexity and get their answers back as structured data
  • Package registry data — npm and PyPI package versions, READMEs, dependencies, and metadata

Every request is routed through Bright Data's unblocking infrastructure, so pages that block ordinary HTTP clients (bot detection, CAPTCHAs, rate limits, geo-restrictions) return normally. No proxy setup, no headless browser maintenance, no retry logic to write.

Two deployment options: a hosted remote server (one URL, no installation) or a local instance via npx @brightdata/mcp.

Quick Start

Hosted server — no installation. Add this URL to your MCP client:

https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN_HERE

Get your API token from your Bright Data account settings. New accounts get 5,000 free requests per month.

Optional URL parameters:

| Parameter | Description | Example | |-----------|-------------|---------| | groups=<ids> | Enable specific tool groups | ...&groups=social,ecommerce | | tools=<names> | Enable specific tools only | ...&tools=search_engine,scrape_as_markdown |

<details> <summary><b>Claude Desktop</b></summary>
  1. Go to: Settings → Connectors → Add custom connector
  2. Name: Bright Data
  3. URL: https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN
  4. Click "Add"

Or run locally:

{
  "mcpServers": {
    "Bright Data": {
      "command": "npx",
      "args": ["@brightdata/mcp"],
      "env": {
        "API_TOKEN": "<your-api-token-here>"
      }
    }
  }
}
</details> <details> <summary><b>Claude Code</b></summary> 
claude mcp add --transport http brightdata "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
</details> <details> <summary><b>Cursor</b></summary>

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "brightdata": {
      "url": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
    }
  }
}
</details> <details> <summary><b>VS Code</b></summary>

Add to .vscode/mcp.json:

{
  "servers": {
    "brightdata": {
      "type": "http",
      "url": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
    }
  }
}
</details> <details> <summary><b>Windsurf</b></summary>

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "brightdata": {
      "serverUrl": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
    }
  }
}
</details> <details> <summary><b>Gemini CLI</b></summary>

Add to ~/.gemini/settings.json:

{
  "mcpServers": {
    "brightdata": {
      "httpUrl": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
    }
  }
}
</details> <details> <summary><b>Zed</b></summary>

Add to your Zed settings:

{
  "context_servers": {
    "brightdata": {
      "url": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
    }
  }
}
</details> <details> <summary><b>Warp</b></summary>

Go to Settings > MCP Servers > Add MCP Server and add:

{
  "brightdata": {
    "url": "https://mcp.brightdata.com/mcp?token=YOUR_API_TOKEN"
  }
}
</details> <details> <summary><b>Other clients (local npx)</b></summary>

For any client that supports local MCP servers:

{
  "mcpServers": {
    "Bright Data": {
      "command": "npx",
      "args": ["@brightdata/mcp"],
      "env": {
        "API_TOKEN": "<your-api-token-here>"
      }
    }
  }
}
</details>

Pricing and Free Tier

Every account includes a recurring monthly free tier. No credit card or commitment required to start.

5,000 free requests per month, renewing on the 1st of each month. Unused requests don't roll over. For team accounts, the free tier is shared across all users in the account.

What's included free:

  • Fetch any webpage and extract as Markdown
  • Access to 60+ pre-built scrapers for popular domains
  • Web search (Google, Bing, Yandex)
  • Web unlocking (bot detection bypass, CAPTCHA solving, proxy rotation)
  • Browser automation
  • Geo-targeting

Beyond the free tier — pay as you go, no commitment:

| | Search, Scrape & Extract | Browser Navigation | |---|---|---| | Pay as you go | $1.50 / 1K results | $8 / GB |

  • When free requests run out, requests stop. No surprise charges — unless you have deposited funds
  • Adding a credit card is a verification step only; you are not charged unless your free tier is exhausted and you have funds deposited
  • Set a spend cap in the control panel so pay-as-you-go usage never exceeds your budget

Full pricing, volume plans and enterprise →

Real-time research

Answer questions using live web data instead of training data. Search, then read the sources.

| Task | Tools | |------|-------| | Search the web for current information | search_engine, search_engine_batch | | Read a specific page as clean Markdown | scrape_as_markdown, scrape_batch | | Find the most relevant sources for a research question, ranked by AI relevance score | discover |

Example prompts: "What's Tesla's current stock price?", "Get today's weather forecast for New York", "Find the most cited sources on EU AI regulation from the last 6 months".

E-commerce intelligence

Read product data as structured JSON: price, availability, rating, review count, seller, images.

| Task | Tools | |------|-------| | Amazon product details, reviews, search results | web_data_amazon_product, web_data_amazon_product_reviews, web_data_amazon_product_search | | Walmart, eBay, Best Buy, Etsy, Home Depot, Zara products | web_data_walmart_product, web_data_ebay_product, web_data_bestbuy_products, web_data_etsy_products, web_data_homedepot_products, web_data_zara_products | | Cross-retailer price view | web_data_google_shopping | | Seller profiles | web_data_walmart_seller |

Example prompts: "Compare this laptop's price on Amazon vs Walmart vs Best Buy", "Get the rating and review count for ASIN B0D2Q9397Y", "Is this product in stock?".

Market and competitor analysis

Build competitor profiles from live data: funding, headcount, hiring, customer reviews, pricing pages.

| Task | Tools | |------|-------| | Company funding, investors, size | web_data_crunchbase_company, web_data_zoominfo_company_profile | | Company pages, employees, job postings | web_data_linkedin_company_profile, web_data_linkedin_job_listings | | Customer sentiment | web_data_google_maps_reviews, web_data_facebook_company_reviews, app store review tools | | Competitor pricing pages | scrape_as_markdown, scrape_batch | | Market discovery | search_engine_batch, discover |

Example prompt: "Analyze Notion as a competitor: pricing, funding, hiring focus, and what customers complain about".

AI agents with reliable web access

Replace built-in fetch/search tools that get blocked on protected sites. Every request goes through unblocking infrastructure, so agents don't fail on bot detection, CAPTCHAs, or geo-restrictions.

| Task | Tools | |------|-------| | Drop-in replacement for built-in web search | search_engine | | Drop-in replacement for built-in URL fetch | scrape_as_markdown | | Parallel data collection (10 at a time) | search_engine_batch, scrape_batch | | Interactive sites (login walls, infinite scroll, dynamic content) | scraping_browser_* (13 tools) | | Structured JSON from any page, no schema needed | extract |

Coding agents

Package registry data on demand — no scraping, no stale caches.

| Task | Tools | |------|-------| | npm package version, README, dependencies, metadata | web_data_npm_package | | PyPI package version, README, dependencies, metadata | web_data_pypi_package | | Read files from GitHub repositories | web_data_github_repository_file |

Example prompts: "What's the latest version of express on npm?", "Get the README for the langchain-brightdata PyPI package".

GEO and brand visibility

Send prompts to major LLMs and get their answers back as structured data. Measure how AI assistants describe your brand, which sources they cite, and what they recommend — the feedback loop for Generative Engine Optimization.

| Task | Tools | |------|-------| | ChatGPT answers with citations and recommendations | web_data_chatgpt_ai_insights | | Grok answers | web_data_grok_ai_insights | | Perplexity answers with sources | web_data_perplexity_ai_insights |

Example prompt: "Ask ChatGPT, Grok, and Perplexity 'what is the best proxy provider' and compare how each one ranks us".

Social media monitoring

Structured data from seven platforms: profiles, posts, comments, engagement metrics.

| Platform | Tools | |----------|-------| | LinkedIn | person profiles, company profiles, job listings, posts, people search (5 tools) | | Instagram | profiles, posts, reels, comments (4 tools) | | TikTok | profiles, posts, shop, comments (4 tools) | | Facebook | posts, marketplace listings, company reviews, events (4 tools) | | YouTube | videos, channel profiles, comments (3 tools) | | X (Twitter) | posts, profile posts (2 tools) | | Reddit | posts (1 tool) |

Example prompt: "Get the last 10 posts from this TikTok profile and summarize the engagement".

Content creation and academic research

Gather source material from many pages at once, filtered by recency and relevance.

| Task | Tools | |------|-------| | Collect multiple sources in one call | scrape_batch (up to 10 URLs) | | Find sources by topic with date filtering | discover with start_date / end_date | | News and finance data | web_data_yahoo_finance_business, search_engine with news queries |

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