#330

Globales Ranking · von 600 Skills

scrape AI Agent Skill

Quellcode ansehen: brightdata/skills

Medium

Installation

npx skills add brightdata/skills --skill scrape

7.3K

Installationen

Bright Data — Scrape

Get clean content (markdown, HTML, JSON, screenshot) from one or more URLs via the Bright Data CLI. This skill owns the "fetch raw or lightly-structured content" job. For platform-specific structured data (Amazon, LinkedIn, TikTok, etc.), stop and use data-feeds instead — you'll get clean JSON without selector logic.

Setup gate (run first)

Before any scrape, verify the CLI is installed and authenticated:

if ! command -v bdata >/dev/null 2>&1; then
    echo "bdata CLI not installed — see bright-data-best-practices/references/cli-setup.md"
elif ! bdata zones >/dev/null 2>&1; then
    echo "bdata not authenticated — run: bdata login  (or: bdata login --device for SSH)"
fi

If either check fails, halt and route the user to skills/bright-data-best-practices/references/cli-setup.md. Do not attempt the legacy curl fallback silently — ask the user first.

Pick your path

Situation Action
Single URL bdata scrape <url> -f markdown
Small list (≤ ~20 URLs) shell loop, 1 at a time (see references/patterns.md)
Larger list (dozens+) xargs -P 4 with parallelism cap (see references/patterns.md)
Paginated listing scrape page 1 → extract next-page URL → append → repeat (see references/examples.md)
JS-heavy / login-gated / interaction-required escalate to bdata browser (see brightdata-cli skill)
Amazon, LinkedIn, TikTok, Instagram, YouTube, Reddit, … stop — hand off to data-feeds
No URL yet, just a topic hand off to search

Action

Core commands:

# Clean markdown (default)
bdata scrape "https://example.com/article" -f markdown -o article.md

# Raw HTML (when you need the DOM)
bdata scrape "https://example.com" -f html -o page.html

# Structured JSON (when the Unlocker returns parsed fields)
bdata scrape "https://example.com" -f json --pretty -o page.json

# Visual snapshot (saves PNG)
bdata scrape "https://example.com" -f screenshot -o page.png

# Geo-targeted (override the exit country)
bdata scrape "https://example.com" --country de -f markdown

Full flag reference: references/flags.md.

Verification gate (run before claiming success)

  1. Non-empty output: test -s "$out_path" — or, for stdout, at least 200 bytes of content.
  2. Not a block page — grep the output for any of these signatures (case-insensitive):
    • Access Denied
    • Just a moment
    • Attention Required
    • Checking your browser
    • captcha
    • cf-browser-verification
    • cloudflare (with < 2KB total body)
  3. Expected markers present for the task: e.g., a product page should contain a price pattern (\$\d); an article should contain at least one <h1> or # heading.
  4. On failure, escalation ladder:
    • Retry with a different --country (e.g., --country de if the origin site is US)
    • Escalate to bdata browser for full JS rendering (hand off to brightdata-cli skill)

Do not report success until all checks above pass.

Red flags

  • Claiming success without inspecting the output.
  • Silencing errors with 2>/dev/null — you'll miss auth failures and rate-limit errors.
  • Running bdata scrape on Amazon/LinkedIn/TikTok/Instagram/YouTube/Reddit URLs — these are supported by data-feeds and return structured data directly. Scraping loses the structure.
  • Scraping the same URL repeatedly in the same task — cache the first result.
  • Looping bdata scrape sequentially for large lists instead of using xargs -P 4 (or similar) with a parallelism cap.
  • Using curl against api.brightdata.com directly — legacy path; only when the CLI isn't available.

References

  • references/flags.md — every flag with when-to-use notes.
  • references/patterns.md — shell-loop batching, xargs parallelism, pagination recipe, retry/backoff, block-page recovery chain, legacy curl fallback.
  • references/examples.md — (1) single page → markdown, (2) batch a list of URLs with parallelism cap, (3) paginated listing, (4) block-page recovery.

Installationen

Installationen 7.3K
Globales Ranking #330 von 600

Sicherheitsprüfung

ath Safe
socket Safe
Warnungen: 0 Bewertung: 90
snyk Medium
zeroleaks Safe
Bewertung: 93
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So verwenden Sie diesen Skill

1

Install scrape by running npx skills add brightdata/skills --skill scrape in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.

2

Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.

3

Der Skill verbessert das Verständnis Ihres Agenten für scrape, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.

Was Sie erhalten

Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.

Kompatibilität

Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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