Small Business OSINT Intelligence

One company name → a complete dossier from 15 sources in under 60 seconds. Stop guessing about prospects, competitors, or acquisition targets. Get the full picture: funding history, founding team bios, entire tech stack, customer reviews across every platform, social presence, recent news, and hiring signals.

Sales teams spend hours manually piecing together company intel. You shouldn't have to. This actor pulls from Crunchbase, PitchBook, LinkedIn, Glassdoor, BuiltWith, G2, Capterra, news APIs, Twitter, and domain data to build a complete business snapshot. One name. Done.

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⚡ What You Get

DOSSIER REPORT
├── Company: TechFlow Analytics Inc
│   ├── Founded: 2019 | San Francisco, CA
│   ├── Headcount: 47 employees 👈 Hiring momentum (grew 18% YoY)
│   ├── Funding: $3.2M Series A (Jun 2023, Sequoia)
│   ├── Revenue Estimate: $1.2M ARR (per SimilarWeb)
│   ├── Website Tech Stack: (20 technologies detected)
│   │   ├── Frontend: React 18.2, TypeScript, Tailwind
│   │   ├── Backend: Node.js, Express, PostgreSQL
│   │   ├── Infrastructure: AWS, Docker, Kubernetes
│   │   └── Analytics: Mixpanel, Segment, Amplitude
│   │
│   ├── Leadership Team:
│   │   ├── CEO: Sarah Chen (ex-Google, 12yrs SaaS)
│   │   ├── CTO: James Rodriguez (ex-Stripe)
│   │   └── VP Sales: Mike Thompson (ex-HubSpot)
│   │
│   ├── Customer Reviews:
│   │   ├── G2 Rating: 4.7/5 (142 reviews)
│   │   ├── Capterra: 4.6/5 (89 reviews)
│   │   ├── Sentiment: 87% positive mentions
│   │   └── Most cited pain point: "onboarding could be faster"
│   │
│   ├── Social & Community:
│   │   ├── LinkedIn: 2,847 followers (growing 12% MoM)
│   │   ├── Twitter: @techflow_ai (14.2K followers, 24% engagement)
│   │   ├── Product Hunt: Featured #3 last month
│   │   └── GitHub: 1,240 stars on main repo
│   │
│   └── Recent Activity:
│       ├── News: Announced partnership with Salesforce (3 days ago)
│       ├── Hiring: VP Partnerships (LinkedIn post 2 days ago)
│       ├── Press: Forbes "30 Under 30" - CEO featured
│       └── Domain: 12 subdomains detected, active development

Why this matters: That hiring signal? Your competition is hunting the same companies. You need this data before the outreach gold rush.

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🎯 Use Cases

• Sales teams running ABM campaigns who need to know if they're pitching to a cash-rich Series A or a bootstrapped startup (very different conversations)
• Investors evaluating portfolio companies or acquisition targets — get full market context, team strength, and traction in one report
• Competitive intelligence analysts tracking how a competitor's fundraising rounds, hiring, and tech stack compare to your product positioning
• Founders doing customer discovery who need to identify which small businesses in their target market are already using competitors and why
• Sales development reps who need proof points ("I see you recently hired a VP Sales") to personalize outreach beyond LinkedIn

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📊 Sample Output

{
  "company": {
    "name": "TechFlow Analytics",
    "website": "techflow.io",
    "domain_registered": "2019-03-15",
    "headquarters": {
      "city": "San Francisco",
      "state": "CA",
      "country": "US"
    }
  },
  "company_metrics": {
    "estimated_employees": 47,
    "employee_growth_yoy": 0.18,
    "estimated_revenue_usd": 1200000,
    "revenue_source": "SimilarWeb"
  },
  "funding": {
    "total_raised": 3200000,
    "latest_round": "Series A",
    "latest_round_amount": 2500000,
    "latest_round_date": "2023-06-15",
    "investors": ["Sequoia Capital", "Insight Partners"]
  },
  "leadership": [
    {
      "name": "Sarah Chen",
      "title": "Chief Executive Officer",
      "background": "Google (12 years), multiple SaaS exits",
      "linkedin_url": "linkedin.com/in/sarahchen"
    }
  ],
  "tech_stack": {
    "count": 20,
    "categories": {
      "frontend": ["React", "TypeScript", "Tailwind CSS"],
      "backend": ["Node.js", "Express", "PostgreSQL"],
      "infrastructure": ["AWS", "Docker", "Kubernetes"]
    }
  },
  "reviews_aggregated": {
    "g2_rating": 4.7,
    "g2_review_count": 142,
    "overall_sentiment_positive": 0.87
  },
  "social_presence": {
    "linkedin_followers": 2847,
    "twitter_followers": 14200,
    "github_stars": 1240
  },
  "recent_news": {
    "count": 3,
    "latest": "Partnership with Salesforce announced",
    "date": "2024-02-23"
  },
  "hiring_signals": {
    "open_positions": 4,
    "latest_hiring": "VP Partnerships",
    "source": "LinkedIn"
  }
}

Field Guide:

• company_metrics.employee_growth_yoy — growth rate signals traction (anything above 15% is hot)
• funding.latest_round — maturity level; Series A companies often have different sales motions than pre-seed
• tech_stack — understand their current architecture to identify partnership or integration opportunities
• reviews_aggregated.overall_sentiment_positive — genuine customer satisfaction across all platforms
• hiring_signals — the jobs they're posting today tell you exactly where they're investing

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🔗 Integrations & Automation

Webhook to Slack: New company data flows straight to your sales channel. Set up a trigger and get notified when any of your target list has a funding announcement or new executive hire.

Email Digest: Schedule daily dossier reports on your watchlist. Start your morning with competitive moves already analyzed and prioritized.

MCP Compatible: Use this actor as an AI agent tool. Any MCP-compatible system can request dossiers on demand — perfect for automating your research workflows.

API: Call via REST. Batch up to 100 companies per request, schedule hourly refreshes, or trigger on demand from your CRM.

Learn about Apify integrations →

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🔗 Works Great With

• Competitive Intelligence — Take one dossier and set up real-time monitoring. Track when they hire, launch, change pricing.
• SaaS Sales Intel — Combine with tech stack detection to identify products your solution integrates with.
• LinkedIn Stealth Scraper — Get the full employee list and recent hires directly from LinkedIn for outreach sequencing.
• Contact Email Finder — Extract verified emails from those founder bios and leadership profiles.
• Google Maps Business Scraper — For local B2B intel, cross-reference location data and customer reviews.

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💰 Cost & Performance

Typical run: 1 dossier in 45–60 seconds for ~$0.15 per company. That's less than a cold coffee.

Compare: Manual research on one company takes your team 2–3 hours across LinkedIn, Crunchbase, G2, and news searches. At $100/hour all-in cost, you're looking at $200–300 per dossier. Do this 10 times a month and you've already paid for 200 runs of this actor.

Batch pricing: Run 50 companies in a single batch for ~$7.50. That's $0.15 per dossier.

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🛡️ Built Right

• 15-source aggregation — pulls from Crunchbase, PitchBook, BuiltWith, G2, Glassdoor, LinkedIn, news APIs, Twitter, and proprietary domain data
• Data freshness — news and social signals refresh daily; funding and hiring data updates 2–3x per week
• Deduplication — same person/company won't appear twice even if multiple sources report the same info
• Error handling — if a company isn't found, you get a clear "not found" response (no partial junk data)
• JSON output — fully nested, parseable, and ready for your CRM or data warehouse

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Fresh data. Zero guesswork. Be the first to know.

📧 Email alerts · 🔗 Webhook triggers · 🤖 MCP compatible · 📡 API access

Built by Creator Fusion — OSINT tools that actually work.