brightdata plugin — Agent Skill

Bright Data Plugin for Claude Code

<strong>Unlock the web with AI-powered scraping, search, and structured data</strong>

Quick Start • Skills • Agent Onboarding • Data Feeds • MCP • CLI • Competitive Intel • Scraper Builder • Scraper Studio • Proxy • Best Practices • Python SDK • JavaScript SDK • Discover API • Live Research • RAG Pipeline • Setup • Examples

Overview

This plugin brings Bright Data's powerful web infrastructure directly into Claude Code, enabling AI agents to:

• Scrape any webpage as clean markdown — bypassing bot detection, CAPTCHAs, and JavaScript rendering
• Search Google with structured JSON results — titles, links, and descriptions ready for processing
• Extract structured data with thousands of pre-built scrapers — Amazon, LinkedIn, Instagram, TikTok, YouTube, and more
• Orchestrate 30+ MCP tools — search, scrape, extract structured data from 1,200+ pre-built scrapers, and automate browsers via Bright Data's MCP server
• Use the Bright Data CLI — scrape, search, extract data, manage zones, and check budget directly from the terminal with brightdata / bdata
• Run competitive intelligence — real-time competitor analysis, pricing monitoring, review mining, hiring signal analysis, and market landscape mapping using live web data
• Write correct Bright Data code — built-in best practices for Web Unlocker, SERP API, Web Scraper API, and Browser API
• Route requests through proxies — generate working code for Datacenter, ISP, Residential, and Mobile proxy networks, with the right network, IP pool type, targeting, and SSL setup
• Build with the Python SDK — comprehensive guide for the brightdata-sdk package with patterns for async/sync clients, platform scrapers, SERP, datasets, and more
• Build with the JavaScript/TypeScript SDK — comprehensive guide for the @brightdata/sdk package (bdclient) with patterns for web unlocker, platform scrapers, SERP, discover, datasets, browser automation, and Scraper Studio
• Run the Discover API — intent-ranked, AI-relevance-scored semantic web search with parsed page content, across REST/CLI/SDK (the foundation for research and RAG)
• Produce live research briefs — decompose a question into multi-angle Discover queries, dedup and rank by relevance, and synthesize a cited report from live web data
• Build RAG / search-engine pipelines — use Discover as the retrieval layer for an LLM, via live web-grounded retrieval or vector-store ingestion

Built on Bright Data's Web Unlocker, SERP API, and Web Data APIs, this plugin handles the complexity of web access so your AI agents can focus on what matters.

Skills

| Skill | Description | |-------|-------------| | `agent-onboarding` | Entry point for agents new to Bright Data — one install command, then routes to the right path: live CLI tools, app integration, MCP server, auth-only, or REST without installing | | `search` | Search Google and get structured JSON results with titles, links, and descriptions | | `scrape` | Scrape any webpage as clean markdown with automatic bot detection bypass | | `data-feeds` | Extract structured data with thousands of pre-built scrapers (bdata pipelines search, info, run) | | `bright-data-mcp` | Orchestrate 30+ Bright Data MCP tools for search, scraping, structured extraction, and browser automation | | `scraper-builder` | Build production-ready scrapers for any website — guides through site analysis, API selection, selector extraction, pagination, and complete implementation. Triggers on "build a scraper for..." | | `scraper-studio` | Build and run AI-generated Bright Data scrapers from the terminal via bdata scraper create (generate from a natural-language description) and bdata scraper run (execute against a URL). Handles async + poll, --sync fast-path, and silent auto-fallback to batch for paginated pages | | `bright-data-best-practices` | Built-in reference for Web Unlocker, SERP API, Web Scraper API, and Browser API — Claude consults this automatically when writing Bright Data code | | `brightdata-proxy` | Generate working code to route requests through Bright Data's Datacenter, ISP, Residential, and Mobile proxy networks — network and IP-pool selection, username targeting/session params, SSL CA setup, and integrations for cURL, Python (requests/httpx/aiohttp/Scrapy), Node (fetch/axios), Playwright, Puppeteer, and Selenium | | `python-sdk-best-practices` | Comprehensive guide for the brightdata-sdk Python package — async/sync clients, platform scrapers, SERP, datasets, Scraper Studio, Browser API, error handling, and common patterns | | `js-sdk-best-practices` | Comprehensive guide for the @brightdata/sdk JavaScript/TypeScript package (bdclient, Node ≥20, ESM+CJS) — web unlocker, 11 platform scrapers, SERP, Discover, datasets, Browser API, Scraper Studio, error classes, and batch/trigger orchestration | | `discover-api` | Use the Discover API — intent-ranked, AI-relevance-scored semantic web search with parsed page content. Covers REST (POST/GET /discover), CLI (bdata discover), the SDKs (client.discover), the standard/zeroRanking/deep/fast modes, and the trigger→poll flow. Foundation for live-research and rag-pipeline | | `live-research` | Produce a deep, multi-source, cited research brief — decompose a question into multiple intent-ranked Discover queries, pull page content, dedup and rank by relevance, then synthesize a structured report with inline citations | | `rag-pipeline` | Build a RAG pipeline or custom search engine on top of Discover — live web-grounded retrieval for an LLM, or ingestion into a vector store (discover → chunk → embed → retrieve). Provider-agnostic JS + Python code | | **

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