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brightdata/scrape

Webinhalte als sauberes Markdown/HTML/JSON über die Bright Data CLI (`bdata scrape`) scrapen.

Was ist scrape?

brightdata/scrape ist ein KI-Agenten-Skill, der die Bright Data CLI (`bdata scrape`) nutzt, um Webseiten in strukturierte Formate wie Markdown, HTML oder JSON zu konvertieren. Er ist ideal für Entwickler, die einzelne Seiten abrufen, Inhalte aus einer Liste von URLs extrahieren oder paginierte Auflistungen crawlen möchten. Der Skill delegiert automatisch an spezialisierte `data-feeds` für unterstützte Plattformen wie Amazon, LinkedIn, TikTok, Instagram, YouTube und Reddit, wenn erkannt wird, dass die Anfrage für eine dieser Plattformen bestimmt ist. Falls URLs zuerst entdeckt werden müssen, leitet er an den `search`-Skill weiter. Voraussetzung ist die installierte Bright Data CLI; der Skill führt den Benutzer proaktiv durch Installation und Login, falls die CLI fehlt.

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

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Dokumentation

Was macht scrape?

Scrape Webinhalte als sauberes Markdown/HTML/JSON über die Bright Data CLI (bdata scrape). Verwende diesen Skill, wenn der Benutzer eine Seite abrufen, Inhalte aus einer Liste von URLs extrahieren oder paginierte Auflistungen crawlen möchte. Gib an data-feeds für unterstützte Plattformen (Amazon, LinkedIn, TikTok, Instagram, YouTube, Reddit, usw.) ab und an search, wenn zunächst URLs entdeckt werden müssen. Erfordert die Bright Data CLI; führt proaktiv durch die Installation und den Login, falls diese fehlt.

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/brightdata-cli

Guide for using the Bright Data CLI (`brightdata` / `bdata`) to scrape websites, search the web, extract structured data from 40+ platforms, manage proxy zones, and check account budget. Use this skill whenever the user wants to scrape a URL, search Google/Bing/Yandex, extract data from Amazon/LinkedIn/Instagram/TikTok/YouTube/Reddit or any other platform, check their Bright Data balance or zones, or do anything involving web data collection from the terminal. Also trigger when the user mentions brightdata, bdata, web scraping CLI, SERP API, or wants to install Bright Data skills into their coding agent.

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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