firecrawl-company-directories은(는) 무엇을 하나요?
Firecrawl을 사용하여 디렉토리에서 구조화된 기업 목록을 추출합니다. YC, Crunchbase, Product Hunt, G2, 스타트업 디렉토리, 카테고리 디렉토리 또는 맞춤형 회사 데이터베이스를 JSON, CSV, CRM 준비 목록 또는 연구 테이블로 스크래핑하는 데 사용합니다.
Firecrawl을 사용하여 디렉토리에서 구조화된 기업 목록을 추출합니다. YC, Crunchbase, Product Hunt, G2, 스타트업 디렉토리, 카테고리 디렉토리 또는 맞춤형 회사 데이터베이스를 JSON, CSV, CRM 준비 목록 또는 연구 테이블로 스크래핑하는 데 사용합니다.
이 스킬은 Firecrawl을 활용하여 다양한 온라인 디렉토리에서 구조화된 기업 데이터를 추출하는 도구입니다. YC(와이콤비네이터), Crunchbase, Product Hunt, G2와 같은 주요 플랫폼뿐만 아니라 일반 스타트업 디렉토리, 카테고리별 디렉토리 또는 사용자 정의 회사 데이터베이스에서도 작동합니다. 개발자는 이를 통해 회사 이름, 설명, 웹사이트, 위치, 업종 등의 정보를 JSON, CSV와 같은 기계 가독성 형식이나 CRM 시스템에 바로 통합할 수 있는 목록으로 얻을 수 있습니다. 이 스킬은 복잡한 웹 스크래핑 설정 없이도 반복적이고 체계적인 디렉토리 크롤링을 자동화하여 시장 조사, 리드 생성, 경쟁사 분석 작업의 효율성을 극대화합니다. Claude Code, Cursor, Codex 등 다양한 AI 에이전트 플랫폼과 호환되며, SKILL.md 문서에 정의된 설정과 명령어를 통해 손쉽게 실행할 수 있습니다.
npx skills add https://github.com/firecrawl/firecrawl-workflows/tree/main/skills/firecrawl-company-directoriesInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Firecrawl을 사용하여 디렉토리에서 구조화된 기업 목록을 추출합니다. YC, Crunchbase, Product Hunt, G2, 스타트업 디렉토리, 카테고리 디렉토리 또는 맞춤형 회사 데이터베이스를 JSON, CSV, CRM 준비 목록 또는 연구 테이블로 스크래핑하는 데 사용합니다.
This repo contains 15 individual skills — each has its own dedicated page.
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.
Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.
Run multi-source deep research with Firecrawl. Use when the user asks to research a topic, compare perspectives, produce a sourced briefing, investigate a technical or market question, or synthesize web evidence across many sources.
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.
Build a knowledge base from web content with Firecrawl. Use for local reference docs, RAG-ready chunks, fine-tuning datasets, documentation mirrors, topic corpora, or LLM-ready markdown organized from web sources.
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.
Produce pre-meeting lead intelligence briefs with Firecrawl. Use when the user needs company research, person research, recent news, talking points, pain points, or outreach preparation before a sales call, partnership meeting, investor conversation, or customer interview.
Extract market, financial, earnings, industry, and company metrics with Firecrawl. Use when the user asks for market research, industry trends, public company data, financial comparisons, earnings research, or structured market reports.
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.
Find and synthesize research papers, whitepapers, PDFs, technical reports, and academic sources with Firecrawl. Use when the user wants a literature review, paper summary, research landscape, or sourced synthesis from PDFs and scholarly/industry publications.
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.
Extract any website's design system into an agent-ready DESIGN.md using Firecrawl scrape evidence. Use when the user wants colors, fonts, spacing, components, layout patterns, or brand/UI guidance from a website so AI agents can create new websites, clone a look, or build pages inspired by that design.
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.
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.