apify-lead-generation은(는) 무엇을 하나요?
Google Maps, 웹사이트, Instagram, TikTok, Facebook, LinkedIn, YouTube, Google Search를 스크래핑하여 B2B/B2C 리드를 생성합니다. 사용자가 리드, 잠재 고객, 비즈니스 찾기, 리드 목록 구축, 연락처 보강, 영업 아웃리치를 위한 프로필 스크래핑을 요청할 때 사용하세요.
Google Maps, 웹사이트, Instagram, TikTok, Facebook, LinkedIn, YouTube, Google Search를 스크래핑하여 B2B/B2C 리드를 생성합니다. 사용자가 리드, 잠재 고객, 비즈니스 찾기, 리드 목록 구축, 연락처 보강, 영업 아웃리치를 위한 프로필 스크래핑을 요청할 때 사용하세요.
이 스킬은 AI 에이전트가 Google Maps, 웹사이트, Instagram, TikTok, Facebook, LinkedIn, YouTube, Google Search 등 다양한 소스에서 B2B/B2C 리드를 자동으로 수집할 수 있게 해줍니다. 사용자가 '리드 찾기', '잠재 고객 발굴', '비즈니스 목록 생성', '연락처 보강', '영업을 위한 프로필 스크래핑'과 같은 작업을 요청할 때 활용하기에 적합합니다. Apify 플랫폼을 기반으로 하여 Claude Code, Cursor, Codex와 같은 AI 에이전트 도구와 통합되어 사용자의 명령을 해석하고 적절한 소스에서 데이터를 추출한 후, 구조화된 리드 정보를 제공합니다. 이를 통해 영업 및 마케팅 팀은 타겟 고객 리스트를 신속하게 확보하고, CRM 시스템에 바로 활용할 수 있는 고품질의 리드 데이터를 얻을 수 있습니다.
npx skills add https://github.com/apify/agent-skills/tree/main/skills/apify-lead-generationInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Google Maps, 웹사이트, Instagram, TikTok, Facebook, LinkedIn, YouTube, Google Search를 스크래핑하여 B2B/B2C 리드를 생성합니다. 사용자가 리드, 잠재 고객, 비즈니스 찾기, 리드 목록 구축, 연락처 보강, 영업 아웃리치를 위한 프로필 스크래핑을 요청할 때 사용하세요.
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.