apify-lead-generation 是做什麼的？
通過爬取 Google 地圖、網站、Instagram、TikTok、Facebook、LinkedIn、YouTube 和 Google 搜尋來產生 B2B/B2C 潛在客戶。當使用者要求尋找潛在客戶、潛在對象、企業、建立潛在客戶清單、豐富聯絡資訊或為銷售推廣爬取個人資料時使用。
通過爬取 Google 地圖、網站、Instagram、TikTok、Facebook、LinkedIn、YouTube 和 Google 搜尋來產生 B2B/B2C 潛在客戶。當使用者要求尋找潛在客戶、潛在對象、企業、建立潛在客戶清單、豐富聯絡資訊或為銷售推廣爬取個人資料時使用。
此技能（apify/apify-lead-generation）專注於從多個主要線上平台自動化收集潛在客戶資料，適用於 B2B 和 B2C 銷售推廣。它能夠爬取 Google 地圖、各大社群媒體（Instagram、TikTok、Facebook、LinkedIn、YouTube）以及 Google 搜尋結果，幫助使用者快速建立目標客戶清單。此技能特別適合業務拓展人員、市場行銷團隊或銷售人員，當他們需要系統性地尋找潛在客戶、豐富聯絡資訊或從公開資料中提取銷售線索時，可以大幅節省手動搜尋時間。它支援多種平台，可根據不同業務需求靈活配置爬取目標，並以結構化資料輸出，方便後續分析與整合。
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-lead-generationInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
通過爬取 Google 地圖、網站、Instagram、TikTok、Facebook、LinkedIn、YouTube 和 Google 搜尋來產生 B2B/B2C 潛在客戶。當使用者要求尋找潛在客戶、潛在對象、企業、建立潛在客戶清單、豐富聯絡資訊或為銷售推廣爬取個人資料時使用。
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.