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brightdata/brightdata-cli

Anleitung zur Nutzung der Bright Data CLI (`brightdata` / `bdata`) zum Scrapen von Websites, Durchsuchen des Webs, Extrahieren strukturierter Daten von über 40 Plattformen, Verwalten von Proxy-Zonen und Überprüfen des Kontoguthabens.

Was ist brightdata-cli?

Diese Skill bietet eine umfassende Anleitung zur Nutzung der Bright Data CLI, umfassend die Tools `brightdata` und `bdata`. Sie ermöglicht Entwicklern das effiziente Scrapen von Webinhalten, die Suche über Google, Bing oder Yandex sowie die Extraktion strukturierter Daten von über 40 Plattformen wie Amazon, LinkedIn, Instagram, TikTok, YouTube und Reddit. Darüber hinaus unterstützt die Skill die Verwaltung von Proxy-Zonen und die Überprüfung des Kontoguthabens, was sie ideal für datengetriebene Projekte und Automatisierungen macht. Die Skill wird in Coding-Agents wie Claude Code, Cursor oder Codex verwendet und aktiviert sich bei Erwähnungen von Bright Data, bdata, Web Scraping CLI, SERP API oder der Installation von Bright Data Skills.

Funktioniert mit~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/brightdata/skills/tree/main/skills/brightdata-cli

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Dokumentation

Was macht brightdata-cli?

Anleitung zur Nutzung der Bright Data CLI (brightdata / bdata) zum Scrapen von Websites, Durchsuchen des Webs, Extrahieren strukturierter Daten von über 40 Plattformen, Verwalten von Proxy-Zonen und Überprüfen des Kontoguthabens. Verwenden Sie diese Skill immer dann, wenn der Benutzer eine URL scrapen, Google/Bing/Yandex durchsuchen, Daten von Amazon/LinkedIn/Instagram/TikTok/YouTube/Reddit oder einer anderen Plattform extrahieren, das Bright Data-Guthaben oder die Zonen überprüfen oder etwas mit Webdaten-Sammlung über das Terminal tun möchte. Aktivieren Sie die Skill auch, wenn der Benutzer brightdata, bdata, Web Scraping CLI, SERP API erwähnt oder Bright Data Skills in seinen Coding-Agent installieren möchte.

Individual skills in this repo

This repo contains 3 individual skills — each has its own dedicated page.

brightdata/bright-data-best-practices

Build production-ready Bright Data integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web scraping, search, browser automation, and structured data extraction. Covers Web Unlocker API, SERP API, Web Scraper API, and Browser API (Scraping Browser).

brightdata/scrape

Scrape web content as clean markdown/HTML/JSON via the Bright Data CLI (`bdata scrape`). Use when the user wants to fetch a page, extract content from a list of URLs, or crawl paginated listings. Hands off to `data-feeds` for supported platforms (Amazon, LinkedIn, TikTok, Instagram, YouTube, Reddit, etc.) and to `search` when URLs must be discovered first. Requires the Bright Data CLI; proactively guides install + login if missing.

brightdata/seo-audit

When the user wants to audit, review, or diagnose SEO issues on their site. Uses live web data via the Bright Data CLI for accurate detection of JS-injected schema, hreflang, canonicals, and live SERP-based ranking checks. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," or "indexing issues." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For implementing structured data, see schema-markup. For AI search optimization, see ai-seo.

Verwandte Skills

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

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affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

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affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

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affaan-m/everything-claude-code

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

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forrestchang/andrej-karpathy-skills

Agent skill repository discovered by 10x-chat research.

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langgenius/backend-code-review

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

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