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Scrape any site, buy ready-made datasets. Thousands of pre-built scrapers, one API key.

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Quickstart

Scrape your first page and get structured JSON in three steps.

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llms.txt, skills and MCP tools for AI readers.

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Data extraction, web search, AI training data and proxy networks.

API reference

Authentication, endpoints, SDKs and the CLI.

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Data extraction

Extract structured data, unblock pages and collect search results.

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Web search

Search records and the live web by API.

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Media and archived pages for model training.

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Five network types for routing traffic at scale.

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AI tools

Tools that connect agents to the live web.

Bright Data MCPLive web access for agents SDKsPython and JavaScript clients Bright Data CLIThe platform from your terminal

Set up your AI tools

Connect Bright Data to the tool you already use. Each command is the same one documented in its MCP integration guide.

claude mcp add --transport sse brightdata "https://mcp.brightdata.com/sse?token=YOUR_API_KEY"

{
  "mcpServers": {
    "brightdata-mcp": {
      "command": "npx",
      "args": ["-y", "@brightdata/mcp"],
      "env": {
        "API_TOKEN": "<your API token>"
      }
    }
  }
}

codex mcp add brightdata --env API_TOKEN=YOUR_API_KEY -- npx -y @brightdata/mcp

npx -p @brightdata/cli brightdata --version

Send your first request

Each example scrapes a LinkedIn profile with the Scraper API and works as-is after you replace YOUR_API_KEY with a key from your account settings. See authentication for how API keys work across all products.

curl -X POST \
  "https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_l1viktl72bvl7bjuj0&format=json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '[{"url": "https://www.linkedin.com/in/satyanadella"}]'

import requests

response = requests.post(
    "https://api.brightdata.com/datasets/v3/scrape",
    params={"dataset_id": "gd_l1viktl72bvl7bjuj0", "format": "json"},
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json=[{"url": "https://www.linkedin.com/in/satyanadella"}],
)

print(response.json())

const response = await fetch(
  "https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_l1viktl72bvl7bjuj0&format=json",
  {
    method: "POST",
    headers: {
      "Authorization": "Bearer YOUR_API_KEY",
      "Content-Type": "application/json",
    },
    body: JSON.stringify([
      { url: "https://www.linkedin.com/in/satyanadella" }
    ]),
  }
);

const data = await response.json();
console.log(data);

The same request pattern works for every scraper: swap the dataset ID and input URL. See the Instagram and SERP API quickstarts for the next targets.

Get started

Data extraction

Web search

AI training data

Proxy networks

Managed services

Bright Data documentation

Start building with live web data

Browse by product

Data extraction

Web search

AI training data

Proxy networks

AI tools

Set up your AI tools

Send your first request