Generieren Sie strukturierte Lead-Listen aus Interessentendatenbanken und Webverzeichnissen mit dem Firecrawl-Browser. Ideal für die Suche nach Interessenten nach Rolle, Unternehmenstyp, Branche, Phase, Standort, Technologien oder anderen Kriterien und den Export als CRM-fähiges JSON oder CSV.
Diese Fähigkeit ermöglicht es einem KI-Agenten (wie Claude Code, Cursor oder Codex), strukturierte Leads aus öffentlichen Quellen wie Interessentendatenbanken und Webverzeichnissen zu extrahieren. Sie nutzt den Firecrawl-Browser, um Webseiten zu durchsuchen und Daten nach verschiedenen Parametern (z. B. Rolle, Branche, Standort oder verwendete Technologien) zu filtern. Dies ist besonders nützlich für Vertriebsteams, Marktforscher oder Recruiter, die schnell qualifizierte Kontakte sammeln und diese direkt in CRM-Systeme importieren möchten. Die Ausgabe erfolgt in den gängigen Formaten JSON oder CSV, was die nahtlose Integration in vorhandene Workflows ermöglicht. Die Fähigkeit ist plattformunabhängig und kann in verschiedenen Entwicklungsumgebungen eingesetzt werden.
npx skills add https://github.com/firecrawl/firecrawl-workflows/tree/main/skills/firecrawl-lead-genInstalled? Explore more Produktivität & Zusammenarbeit skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
Generieren Sie strukturierte Lead-Listen aus Interessentendatenbanken und Webverzeichnissen mit dem Firecrawl-Browser. Verwenden Sie dies, um Interessenten nach Rolle, Unternehmenstyp, Branche, Phase, Standort, Technologien oder anderen Kriterien zu finden und als CRM-fähiges JSON oder CSV zu exportieren.
This repo contains 15 individual skills — each has its own dedicated page.
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.
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.
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.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.