网页抓取技能

Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, screenshot, browse web, playwright, headless browser, web agent, surf internet, record video

Launch and manage anti-detect browsers with unique real-device fingerprints for multi-account operations, web scraping, ad verification, and AI agent automation. Use when the user needs to run multiple browser sessions with distinct identities, manage persistent browser profiles, automate tasks across accounts, or build agentic workflows that require browser fingerprint isolation. Also use when the user mentions antibrow, anti-detect browser, or fingerprint browser.

Browser automation CLI for AI agents. NEVER run browser-act commands directly via Bash — always invoke this skill first. Use browser-act when a user mentions it by name, includes or asks to run a browser-act CLI command (e.g., browser-act browser list), or to: fetch, view, or extract rendered content from URLs, access pages requiring JavaScript, handle verification prompts, maintain authenticated sessions, fill forms and click through workflows, type, select, upload, take screenshots,...

Explores websites via browser-act automation and packages discoveries into callable Skill packages (SKILL.md + scripts) — execute reliably and efficiently without re-exploration. Use when: user wants a reusable Skill for any website ('create/make/build a skill for X'), needs to understand a site's internal APIs ('what endpoint does X use', 'how does X load data'), or requires batch extraction at scale (hundreds+ records — forge a Skill first, then execute reliably). Differs from browser-act:...

Deep research skill — broad parallel web searches, multi-source validation, confidence tracking, cited Markdown report. Supports 11 research types: market (TAM/SAM, segments, pricing, trends), domain (industry structure, ecosystem, regulatory landscape), technical (architecture, tools, benchmarks), competitive (competitor teardown, positioning, win/loss), product (feature analysis, reviews, roadmap signals), academic (literature survey, citation networks, key authors), person/org (due...

Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page. Do NOT use for URLs ending in .md — those are already markdown, use WebFetch directly.

Use when building, debugging, packaging, or publishing browser userscripts for Tampermonkey or ScriptCat, including GM APIs, metadata blocks, permission issues, @match/@grant/@connect setup, ScriptCat background or scheduled scripts, UserConfig blocks, or subscription workflows.

When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Product Hunt," "BetaList," "TAAFT," "Futurepedia," "G2 listing," "Capterra listing," "AlternativeTo," "SaaSHub," "AI directories," "MCP registry," "agent directory," "dofollow backlinks," "launch...

Extract structured company lists from directories with Firecrawl. Use for scraping YC, Crunchbase, Product Hunt, G2, startup directories, category directories, or custom company databases into JSON, CSV, CRM-ready lists, or research tables.

Monitor competitor pricing, features, changelogs, dashboards, and product changes with Firecrawl. Use for recurring competitive intelligence, pricing tier extraction, feature change tracking, or structured competitor alerts.

使用Firecrawl浏览器从分析仪表板和内部网络工具中提取指标。适用于用户需要仪表板报告、跨平台指标汇总、认证分析提取、日期范围报告或从网页仪表板获取结构化指标的场景。

使用 Firecrawl 进行多源深度研究。当用户要求研究某个主题、比较不同观点、生成带来源的简报、调查技术或市场问题，或综合多个来源的网络证据时使用。

Walk through a product's key flows with Firecrawl browser and produce a structured UX/product walkthrough. Use for signup, onboarding, pricing, docs, dashboard, product demo prep, UX teardown, and first-run experience analysis.

使用Firecrawl从网页内容构建知识库。适用于本地参考文档、RAG就绪文本块、微调数据集、文档镜像、主题语料库，或从网页来源整理的LLM就绪Markdown。

Ingest public or authenticated knowledge bases and docs portals with Firecrawl browser. Use for JS-heavy docs, login-gated portals, paginated help centers, support knowledge bases, or structured JSON/markdown extraction from documentation sites.

Generate structured lead lists from prospect databases and web directories with Firecrawl browser. Use for finding prospects by role, company type, industry, stage, location, technologies, or other criteria and exporting CRM-ready JSON or CSV.

使用Firecrawl生成会前潜在客户情报简报。适用于用户在销售通话、合作会议、投资者对话或客户访谈前需要公司调研、人物调研、最新动态、谈话要点、痛点分析或外联准备时。

使用Firecrawl提取市场、财务、收益、行业和公司指标。当用户询问市场研究、行业趋势、上市公司数据、财务比较、收益研究或结构化市场报告时使用。

检测网站内容变化，并通过webhook或邮件接收通知——无需cron任务、爬虫或差异脚本。当用户想要追踪页面变化、监控竞争对手定价、在新职位或博客发布时接收提醒、监测文档/更新日志/状态页面，或说出“监控”、“关注”、“追踪”、“当……时提醒我”、“当X变化时通知我”、“如果……请通知我”、“当……时发邮件给我”或“当……时发送webhook”时，使用此技能。内置AI判断器会过滤掉格式、时间戳和……

QA test a live website with Firecrawl browser and scrape evidence. Use when the user wants exploratory QA, form testing, navigation/link checks, responsive checks, performance observations, bug reports, or a pre-launch quality review.

使用Firecrawl查找并综合研究论文、白皮书、PDF文件、技术报告及学术来源。适用于用户需要文献综述、论文摘要、研究现状分析，或从PDF及学术/行业出版物中获取有来源的综合内容时。

Audit a website's SEO with Firecrawl. Use when the user asks for an SEO audit, metadata and heading review, sitemap/site-structure analysis, keyword opportunities, competitor SERP comparison, or prioritized search optimization recommendations.

Research products across the web with Firecrawl and produce a shopping recommendation or cart-ready summary. Use when the user wants to compare products, find the best option, evaluate reviews, respect budget/preferences, or shop with a saved browser session.

使用 Firecrawl 抓取证据，将任意网站的设计系统提取为可供智能体使用的 DESIGN.md 文件。当用户需要从网站获取颜色、字体、间距、组件、布局模式或品牌/UI 指导，以便 AI 智能体创建新网站、克隆外观或受该设计启发构建页面时使用。

Run outcome-focused Firecrawl workflows that produce deliverables such as research reports, SEO audits, QA reports, lead lists, knowledge bases, website design systems, and other structured web-data artifacts. Use when the user wants Firecrawl to complete a business, marketing, product, or creative workflow rather than merely scrape a page or integrate API calls into code.

Search, scrape, crawl, extract structured data, and monitor web pages via the ScrapeGraph AI CLI. Use when the user asks to search the web, scrape a webpage, grab content from a URL, extract JSON from a site, crawl documentation or site sections, monitor a page for changes, inspect request history, check ScrapeGraph credits, or validate API setup.

Research what people actually say about any topic in the last 30 days. Pulls posts and engagement from Reddit, X, YouTube, TikTok, Hacker News, Polymarket, GitHub, and the web.

When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," "building many pages for SEO," "pSEO," "generate 100 pages," "data-driven pages," or "templated landing pages." Use this whenever someone wants to create many similar pages targeting different keywords or locations. For...

Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D...

When the user wants to add, fix, or optimize schema markup and structured data on their site. Also use when the user mentions "schema markup," "structured data," "JSON-LD," "rich snippets," "schema.org," "FAQ schema," "product schema," "review schema," "breadcrumb schema," "Google rich results," "knowledge panel," "star ratings in search," or "add structured data." Use this whenever someone wants their pages to show enhanced results in Google. For broader SEO issues, see seo-audit. For AI...

Use when work depends on the user's live browser session or visible rendered state rather than static fetches, especially for browser debugging contexts or DevTools-selected elements or requests, logged-in dashboards or CMS flows, localhost apps, forms, uploads, downloads, media inspection, DOM or iframe inspection, Shadow DOM, or browser failures that look like soft 404s, auth walls, anti-bot checks, or rate limits.

通过inference.sh CLI使用Tavily和Exa进行网络搜索与内容提取。应用：Tavily搜索、Tavily提取、Exa搜索、Exa回答、Exa提取。功能：AI驱动搜索、内容提取、直接回答、研究。用途：研究、RAG管道、事实核查、内容聚合、智能体。触发词：网络搜索、tavily、exa、搜索API、内容提取、研究、互联网搜索、AI搜索、搜索助手、网页抓取、rag、perplexity替代方案