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AI Primer

scrape

brightdataby brightdata6 months ago

Use when the user wants to scrape or extract structured data from any site: profiles, posts, products, reviews, prices, followers, job or property listings. Also for building a scraper, crawling a site for data, discovery by keyword or category, asks that say "data fields" or "recurring", or that name a dataset_id, snapshot_id, Web Scraper API, or Scraper Studio. Not the page itself (use fetch), not a search query (use search), not cost or credits (use billing).

Install

npx skills add https://github.com/brightdata/skills --skill scrape
Show step-by-step
  1. 1

    Open your terminal

    • Mac: Press ⌘ Space, type "Terminal", press Enter
    • Windows: Press Win R, type "cmd", press Enter
  2. 2

    Paste the command above and press Enter

    Use the Copy command button, then paste in your terminal (Mac: ⌘V, Windows: Ctrl V).

  3. 3

    Restart Claude Code

    Close and reopen Claude Code, or start a new session, so it picks up the new skill.

Where it lives
~/.claude/skills/brightdata--skills--skills--scrape/
├── SKILL.md
└── ... (skill resource files)
View on GitHub

Always review skill code before installing. Third-party skills may contain scripts that run on your machine.

Related skills

🎧 Support

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Turn rough feedback about the Warp app into a filed GitHub issue or duplicate-issue response for `warpdotdev/warp`. Use when the user shares a Warp bug report, regression, confusing UX note, feature gap, or short complaint and wants it clarified into reproduction steps, expected vs actual behavior, concrete impact, and grounded source references from local Warp repos when available.

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📝 Content

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Mandatory entry point: read this first for any request to make, create, edit, animate, or render a video, animation, or motion graphic, including a promo, explainer, captioned clip, title card, overlay, slideshow or interactive deck, Remotion port, or any HyperFrames HTML composition. Also use it to inspect, diagnose, validate, preview, publish, or batch-render an existing HyperFrames project. Inputs may be a website URL, GitHub PR, Figma design or URL, text or brief, existing footage, or music. It resumes project state, captures intent when applicable, selects and installs the owning workflow, and routes domain capabilities. HyperFrames is the default output framework unless the user explicitly chooses another framework for the deliverable or asks only to record a browser session.

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💻 Developer Tools

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Drive a native GUI app (macOS, Windows, Linux) via the cua-driver CLI (default) or MCP server; snapshot its accessibility tree, act through snapshot-bound element tokens, native menu paths, exact window geometry, or pixel coordinates, and verify from fresh state. Use when the user asks you to operate, drive, automate, or perform a GUI task in a real application on the host, or to continue, resume, or recall recent Cua activity.

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🔬 Research

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Maximum-saturation research orchestration: parallel explore+librarian swarms across codebase, web, official docs, and OSS repos; a recursive EXPAND loop driven by leads workers return in message text; empirical verification by running code; cited synthesis and optional MD/HTML/PDF/PPTX reports. ACTIVATES ONLY on an explicit user demand for research — the word 'ultraresearch' ('/ultraresearch', '$ultraresearch') or an explicit request for research / deep research / an ultra-precise investigation, in any language. Never self-activates for ordinary questions, debugging, or implementation context-gathering. While active it overrides exploration-bounding defaults: exhaustive coverage is the goal.

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