brightdata

@brightdata source repo

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Python Sdk Best Practices · brightdata bundle
Guide for writing correct Bright Data Python SDK code. Always use this skill when writing, modifying, debugging, or reviewing Python code that uses the brightdata-sdk package, imports from brightdata, or interacts with Bright Data APIs. Use when the user asks to scrape websites, search Google/Bing, access datasets, or automate browsers via Bright Data in Python.

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Enriching Tables · brightdata bundle
Enrich any CSV of companies or people with web-sourced data (employee count, revenue, funding, tech stack, work emails, LinkedIn, and custom fields) using the @brightdata/enrich CLI. Use this skill whenever the user wants to enrich, augment, fill in, or research rows of a spreadsheet or CSV — leads, prospects, accounts, contacts, a CRM export, or any table of companies/domains/emails — or mentions Bright Data enrichment, the `enrich` command, lead enrichment, data enrichment, or "add a column with X" to a list. Covers first-time onboarding (Bright Data + OpenRouter setup), running enrichments, and publishing this skill on skills.sh.

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Brightdata Proxy · brightdata bundle
Generate working code that routes HTTP requests through Bright Data proxy networks (Datacenter, ISP, Residential, Mobile) and help users decide which network and IP pool type to use (shared pool, shared IPs, or dedicated IPs). Use this skill whenever the user mentions Bright Data, brightdata.com, BD proxies, brd.superproxy.io, geo.brdtest.com, a brd-customer- proxy username, a Bright Data zone, the superproxy host, or wants to scrape or route requests through Bright Data — including questions about proxy URL format, country or session or IP or sticky-session targeting, SSL certificate setup for residential or mobile proxies, KYC verification, ignoring SSL errors, choosing between shared pool and shared IPs and dedicated IPs, or integrating Bright Data into Python requests/httpx/aiohttp, Node fetch/axios, Playwright, Puppeteer, Selenium, or Scrapy.

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Data Feeds · brightdata bundle
Extract structured data from 40+ supported platforms (Amazon, LinkedIn, Instagram, TikTok, Facebook, YouTube, Reddit, and more) via the Bright Data CLI (`bdata pipelines`). Use when the user wants clean JSON from a known platform URL rather than raw HTML. Hands off to `scrape` for unsupported URLs and to `search` when target URLs must be discovered first. Requires the Bright Data CLI; proactively guides install + login if missing.

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Discover API · brightdata bundle
Use Bright Data's Discover API — intent-ranked, AI-relevance-scored web search at scale (not keyword SERP). Trigger a discovery job and retrieve ranked results (link, title, description, relevance_score) with optional parsed page content. Use when the user wants semantic/intent-based web search, "find pages about <topic> that match <goal>", web-grounded retrieval for an LLM, or results filtered by relevance rather than raw keyword rank. Covers the REST API (POST/GET /discover), the CLI (`bdata discover`), and the Python/JS SDKs (`client.discover`), including the standard/zeroRanking/deep/fast modes. This is the foundation skill for `live-research` and `rag-pipeline`. For keyword SERP use `search`; for structured platform data use `data-feeds`.

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RAG Pipeline · brightdata bundle
Build a RAG (retrieval-augmented generation) pipeline or a custom search engine on top of Bright Data's Discover API — using intent-ranked web results + parsed page content as the retrieval/ingestion layer for an LLM or vector store. Use when the user wants to "build a RAG pipeline", "add web search to my LLM/agent", "ground my model in live web data", "build a search engine over the web", "ingest web content into a vector DB / knowledge base", or "give my chatbot retrieval". Covers both live retrieval (Discover at query time as a web-grounded retriever) and ingestion (Discover → chunk → embed → vector store → retrieve). Built on the `discover-api` skill. For a one-off written report use `live-research`; for raw markdown of specific known URLs use `scrape`.

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Live Research · brightdata bundle
Produce a deep, multi-source, cited research brief on a topic from live web data using Bright Data's Discover API (intent-ranked web search + parsed page content). Use when the user wants "live research", to "research <topic> deeply", "research the latest on", "write a report on", "give me a briefing / literature review / market scan", "find and synthesize everything about", or otherwise wants a synthesized, source-grounded answer rather than a list of links. Decomposes the question into multiple intent-ranked Discover queries, pulls page content, deduplicates and ranks by relevance, then synthesizes a structured brief with inline citations. Built on the `discover-api` skill. For competitor-specific intel use `competitive-intel`; for social/brand sentiment use `brand-listening`; for a retrieval *system* (not a one-off report) use `rag-pipeline`.

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Scraper Studio · brightdata bundle
Build and run AI-generated Bright Data scrapers from the terminal via `bdata scraper create` and `bdata scraper run`. Use this skill whenever the user wants to generate a scraper from a natural-language description, build a custom scraper without writing code, turn a URL + plain-English description into a reusable scraper, run an existing Bright Data collector against a URL, or batch-scrape a list of URLs through one collector. Triggers on phrases like 'build me a scraper for', 'create a scraper that extracts', 'generate a scraper from a description', 'turn this URL into a scraper', 'run this scraper on', 'run my collector', 'batch scrape', 'scrape these URLs', 'scrape a list of URLs', 'competitive pricing table', 'scraper studio', `scraper create`, `scraper run`, `--urls`, `--input-file`, `collector_id`, `automate_template`, or `/dca/`. Covers the AI flow (template create → trigger AI generation → poll progress), the single-URL run flow (async + poll by default, `--sync` for fast pages), the multi-URL batch

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Brand Listening · brightdata bundle
Social listening and brand reputation research using Bright Data's web scraping infrastructure. Collects what real people are saying about a brand, product, or person across Reddit, X/Twitter, Instagram, TikTok, YouTube, news, and review sites — then classifies sentiment, clusters themes, and delivers a cited digest with actionable recommendations. Use this skill when the user wants to know what people are saying about their brand, monitor social media mentions, gauge public sentiment, track online reputation, find complaints or advocacy, measure buzz around a launch, or do social listening / brand monitoring / sentiment analysis. Also use when the user mentions brand mentions, brand health, reputation tracking, or "what's the internet saying about us".

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Scraper Builder · brightdata bundle
Build production-ready web scrapers for any website using Bright Data infrastructure. Guides you through site analysis, API selection, selector extraction, pagination handling, and complete scraper implementation. Use this skill whenever the user wants to build a scraper, create a crawler, extract data from a website, scrape product pages, handle pagination, build a data pipeline from a web source, or automate data collection from any site — even if they don't explicitly say 'scraper'. Triggers on phrases like 'build a scraper for', 'scrape data from', 'extract products from', 'crawl pages on', 'get data from [website]', or 'I need to pull data from'.

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Agent Onboarding · brightdata
Onboard an agent to Bright Data. Use when a coding agent first encounters Bright Data — for live web work (search, scrape, structured data), for wiring Bright Data into product code, for installing the agent skill bundle, or for getting an API key. One install command sets up the CLI, agent skills, and authentication. Routes the reader to the right path: live tools, app integration, MCP, auth-only, or direct REST without any install.

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Price Comparison · brightdata bundle
Shopping price comparison using Bright Data's web scraping infrastructure. Finds where a product is sold, for how much, and whether it's in stock — across Amazon, Walmart, eBay, Best Buy, Google Shopping, and any retailer URL — then ranks the offers into a single buy-recommendation table. Use this skill when the user wants to compare prices, find the cheapest place to buy something, do a price check, see "how much does X cost on Amazon vs Walmart", track an item's price, or decide where to buy a product. Handles product names, ASINs, and direct URLs, and is region-aware (country affects price, availability, and which retailers apply). This is consumer purchase-decision research — for analyzing a competitor's pricing *strategy*, use competitive-intel instead.

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Brd Browser Debug · brightdata
Debug Bright Data Scraping Browser sessions using the Browser Sessions API. Use this skill when the user encounters a Bright Data browser session error, puppeteer stack trace, failed scraper run, or asks about session bandwidth, duration, captchas, or connection issues. Also use when a Bright Data scraper produces unexpected results such as empty data, 0 items found, missing products, or fewer results than expected — session data can reveal whether the issue is network/proxy-side (blocks, captchas, redirects, timeouts) or client-side (selectors, extraction logic). Triggers on phrases like 'why did my session fail', 'debug my bright data session', 'check my scraping browser sessions', 'how much bandwidth did my scraper use', 'got 0 results', 'found 0', 'scraper returned empty', 'scraper not working', 'script didn't work', or when a Bright Data error code or brd.superproxy.io stack trace appears in the conversation. Requires BRIGHTDATA_API_KEY environment variable.

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Competitive Intel · brightdata bundle
Real-time competitive intelligence and market research using Bright Data's web scraping infrastructure. Analyzes competitors' pricing, features, reviews, hiring patterns, content strategy, and market positioning with live web data. Use this skill when the user wants to analyze competitors, compare products, monitor pricing changes, track market trends, research a market landscape, build competitive battlecards, find positioning opportunities, or conduct any form of competitive or market research. Also use when the user mentions competitor analysis, market intelligence, competitive landscape, win/loss analysis, or wants to understand what competitors are doing.

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Brightdata Sdk JS · brightdata bundle
Web data extraction and discovery using the Bright Data JavaScript/TypeScript SDK (`@brightdata/sdk`). Use when the user is working in Node.js/TypeScript and asks to "scrape", "get data from", "extract", "search for", or "find" information from websites. Also use when the user mentions specific platforms like Amazon, LinkedIn, Instagram, Facebook, TikTok, YouTube, Reddit, Pinterest, ChatGPT, Perplexity, or DigiKey, or asks for "bulk data", "historical data", or "dataset" from JS. Covers scraping, SERP search, AI discovery, datasets, browser automation, and Scraper Studio. For Python, use brightdata-sdk; for the terminal CLI, use brightdata-cli.

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Brightdata Sdk · brightdata bundle
Web data extraction and discovery using the Bright Data Python SDK. Use when user asks to "scrape", "get data from", "extract", "search for", or "find" information from websites. Also use when user mentions specific platforms like Amazon, LinkedIn, Instagram, Facebook, TikTok, YouTube, Reddit, Pinterest, Zillow, Crunchbase, or DigiKey, or asks for "bulk data", "historical data", or "dataset". Covers scraping, searching, datasets, and browser automation.

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16 published skills