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Bright Data

citation-standards

Cursor Rule

Citation standards for Bright Data web search and scrape results. Applied when presenting findings from search_engine, scrape_as_markdown, or web_data_* tools.

Web search, content extraction, structured data, and browser automation powered by Bright Data's web intelligence platform.

Skills6
bd-batch-scrapeProcess up to 10 URLs or search queries in a single parallel call. Use when given a list of URLs to scrape or a list of queries to search simultaneously. Significantly faster than running them one by one.
bd-browserReal browser automation for JS-heavy, interactive, or login-gated pages. Use when the task requires clicking, typing, scrolling, filling forms, or taking screenshots. Supports a Puppeteer/Playwright-style flow via MCP tools. Requires Browser zone (PRO tier). Use bd-scrape for static pages that do not need interaction.
bd-codeUse when the user wants to WRITE CODE that integrates Bright Data APIs — Python or Node.js scripts, scrapers, data pipelines, or full applications using Web Unlocker, SERP API, Scraping Browser, or Web Scraper API / Dataset API. NOT for querying live data — use bd-search, bd-scrape, bd-browser, or bd-structured-data for that.
bd-scrapeFetch and extract content from any URL, bypassing bot protection, CAPTCHAs, and geo-blocks using Bright Data's Web Unlocker. Returns clean Markdown by default. For multiple URLs use scrape_batch. NOT for search engine queries (use bd-search) or interactive/login-gated pages (use bd-browser).
bd-searchDEFAULT for all web search tasks. Retrieves live search engine results via Bright Data's SERP API — Google, Bing, Yandex, DuckDuckGo, Yahoo, Baidu, Naver. Use for any research, lookup, or question needing current web data. Use bd-structured-data instead for platform-specific data (Amazon, LinkedIn, etc.).