通过 Bright Data CLI (`bdata scrape`) 将网页内容抓取为干净的 Markdown、HTML 或 JSON 格式。适用于用户需要抓取单个页面、从 URL 列表中提取内容或爬取分页列表的场景。
该技能通过 Bright Data CLI 的 `bdata scrape` 命令，将网页内容抓取并转换为干净的 Markdown、HTML 或 JSON 格式。它适合需要从单一页面提取数据、批量处理 URL 列表或爬取分页内容的场景。对于 Amazon、LinkedIn、TikTok、Instagram、YouTube、Reddit 等受支持的平台，该技能会转交给 `data-feeds` 处理；若需先发现 URL，则会转交给 `search`。使用前需要安装 Bright Data CLI 并完成登录，若缺少相应工具，技能会主动引导用户进行安装和登录操作。支持多种输出格式、分页爬取和自定义渲染选项，可灵活适配开发者或 AI Agent 的数据抓取需求。
npx skills add https://github.com/brightdata/skills/tree/main/skills/scrapeInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
通过 Bright Data CLI (bdata scrape) 将网页内容抓取为干净的 Markdown、HTML 或 JSON 格式。适用于用户需要抓取单个页面、从 URL 列表中提取内容或爬取分页列表的场景。受支持的平台（Amazon、LinkedIn、TikTok、Instagram、YouTube、Reddit 等）转交给 data-feeds 处理；若需先发现 URL，则转交给 search。使用前需要安装 Bright Data CLI 并完成登录；若缺少相应工具，技能会主动引导用户进行安装和登录操作。
This repo contains 3 individual skills — each has its own dedicated page.
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).
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.
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.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
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.