apify-lead-generation 是做什么的？
通过抓取谷歌地图、网站、Instagram、TikTok、Facebook、LinkedIn、YouTube和谷歌搜索来生成B2B/B2C潜在客户。当用户要求寻找潜在客户、潜在客户、企业、构建客户列表、丰富联系人信息或为销售外联抓取资料时使用。
通过抓取谷歌地图、网站、Instagram、TikTok、Facebook、LinkedIn、YouTube和谷歌搜索来生成B2B/B2C潜在客户。当用户要求寻找潜在客户、潜在客户、企业、构建客户列表、丰富联系人信息或为销售外联抓取资料时使用。
Apify Lead Generation 技能是一个强大的AI Agent工具，专门用于从多个在线平台自动收集和生成B2B及B2C潜在客户。它支持抓取谷歌地图、Instagram、TikTok、Facebook、LinkedIn、YouTube以及谷歌搜索等主流平台的数据，帮助用户快速构建潜在客户列表、丰富联系人信息，并支持销售外联场景。该技能通常集成在Apify的Actor生态系统中，可通过API或网页界面调用，适用于各类AI Agent（如Claude Code、Cursor等）。其核心优势在于自动化处理大量重复性数据抓取工作，显著提升销售和市场营销团队的效率。
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-lead-generationInstalled? 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 →
通过抓取谷歌地图、网站、Instagram、TikTok、Facebook、LinkedIn、YouTube和谷歌搜索来生成B2B/B2C潜在客户。当用户要求寻找潜在客户、潜在客户、企业、构建客户列表、丰富联系人信息或为销售外联抓取资料时使用。
This repo contains 13 individual skills — each has its own dedicated page.
Develop, debug, and deploy Apify Actors - serverless cloud programs for web scraping, automation, and data processing. Use when creating new Actors, modifying existing ones, or troubleshooting Actor code.
Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use when migrating code to Apify, wrapping CLI tools as Actors, or adding Actor SDK to existing projects.
Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
Track reviews, ratings, sentiment, and brand mentions across Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok. Use when user asks to monitor brand reputation, analyze reviews, track mentions, or gather customer feedback.
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.
Scrape e-commerce data for pricing intelligence, customer reviews, and seller discovery across Amazon, Walmart, eBay, IKEA, and 50+ marketplaces. Use when user asks to monitor prices, track competitors, analyze reviews, research products, or find sellers.
Generate output schemas (dataset_schema.json, output_schema.json, key_value_store_schema.json) for an Apify Actor by analyzing its source code. Use when creating or updating Actor output schemas.
Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
Integrate Apify into an existing JavaScript/TypeScript or Python application using the apify-client package. Use when adding web scraping, automation, or data extraction capabilities to an existing app via the Apify API.
Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp, and 15+ more platforms. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, review analysis, SEO intelligence, recruitment, or any data extraction task.
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.