TrustMRR Scraper — Verified Startup Revenue, Deals & Contact Data

🤖 What does TrustMRR Scraper do?

TrustMRR Scraper extracts structured startup listings from TrustMRR, including verified revenue metrics, asking prices, multiples, growth, categories, websites, and available contact data. Use it to download startup acquisition data for deal sourcing, market research, competitor tracking, and lead generation.

• Startup listings — names, slugs, websites, logos, categories, country, and descriptions
• Revenue metrics — last 30 days revenue, MRR, total revenue, growth, multiples, and profit margin when available
• Deal data — asking price, price history, sponsored/listing status, page views, and offers
• Business signals — tech stack, marketing channels, target audience, domain rating, and AI-enriched summaries when available
• Contact fields — emails, socials, and phones when discovered

Great for: startup acquisition research, micro-SaaS scouting, M&A lead lists, revenue benchmarking, and competitive intelligence.

SEO keywords: TrustMRR scraper, scrape startup revenue, startup acquisition data, verified SaaS revenue, micro-SaaS deals, Apify actor.

💡 Why scrape TrustMRR?

• 📈 Compare startup revenue — review verified last-30-days revenue, MRR, total revenue, and growth signals.
• 🎯 Build acquisition pipelines — export startups for sale with asking prices, multiples, websites, and categories.
• 🔎 Track market niches — analyze SaaS, AI, productivity, content, developer tools, and other startup segments.
• 🧩 Enrich research workflows — combine revenue, website, contact, and business-model fields in CRM or spreadsheet workflows.

🚀 How to use

1. Open the actor – Launch TrustMRR Scraper in Apify.
2. Set maxItems – Choose how many startup records to export. Use 0 for all available records.
3. Choose order – Export newest listings first or oldest listings first.
4. Run the actor – Click Run or trigger it via API.
5. Download results – Export JSON, CSV, Excel, or Parquet from the Dataset tab.

📝 Input Parameters

Parameter	Type	Required	Description
maxItems	Integer	Yes	Maximum number of startup records to export. Use 0 for all available records. Default 10.
order	String	No	Listing order. Use "listed_at_desc" for newest first or "listed_at_asc" for oldest first. Default "listed_at_desc".

Example inputs

Newest 100 startup listings

{
  "maxItems": 100,
  "order": "listed_at_desc"
}

Export all records oldest first

{
  "maxItems": 0,
  "order": "listed_at_asc"
}

📊 Output / Results

Each dataset item is a startup listing with deal, revenue, website, category, and enrichment fields.

Field reference:

• _id (string) — TrustMRR startup ID
• name (string) — startup name
• slug (string) — TrustMRR listing slug
• website (string) — startup website URL
• icon (string) — logo image URL
• description (string) — short startup description
• userCategory (string) — user-facing category, such as SaaS, AI, or Productivity
• country (string) — country code when available
• currentLast30DaysRevenue (number) — verified revenue in the last 30 days
• currentMrr (number) — monthly recurring revenue when available
• currentTotalRevenue (number) — total tracked revenue
• askingPrice (number) — current asking price when listed for sale
• askingPriceHistory (array) — historical asking price changes when available
• multiple (number) — revenue multiple shown by TrustMRR
• growth30d (number) — 30-day growth percentage
• profitMarginLast30Days (number) — recent profit margin when available
• paymentProvider (string) — connected payment provider, such as Stripe
• techStack (array) — detected technologies when available
• marketingChannels (array) — marketing channels when available
• aiEnrichment (object) — business model, value proposition, target persona, pricing, screenshots, and tags when available
• emails (array) — discovered email contacts when available
• socials (array) — discovered social links when available
• phones (array) — discovered phone numbers when available
• meta (object) — page metadata such as SEO title and description
• jsonLd (object) — structured schema data when available

Example output

{
  "_id": "69310845a796c5eb1e8f5e4e",
  "name": "CleanClip Pro",
  "slug": "cleanclip-pro",
  "website": "https://cleanclip.cc",
  "icon": "https://d21oz30g4w22sz.cloudfront.net/logos/cleanclip-pro.png",
  "description": "CleanClip Pro is a clipboard manager for macOS, offering easy content management and quick pasting features.",
  "userCategory": "Productivity",
  "country": "HK",
  "currentLast30DaysRevenue": 209.9,
  "currentMrr": 0,
  "currentTotalRevenue": 3376.31,
  "askingPrice": 50000,
  "askingPriceHistory": [
    {
      "createdAt": "2025-12-19T16:23:35.247Z",
      "price": 50000
    }
  ],
  "multiple": 19.85,
  "growth30d": 61.54,
  "paymentProvider": "stripe",
  "techStack": [],
  "marketingChannels": [],
  "aiEnrichment": {
    "businessType": "B2C",
    "pricingModel": "Standard: $19.99 Pay Once, Pro: $29.99 Pay Once",
    "targetPersona": "Designers, Marketers, Developers, Productivity Enthusiasts",
    "tags": ["productivity", "utilities", "content-creation"]
  },
  "emails": [],
  "socials": [],
  "phones": [],
  "meta": {
    "description": "CleanClip Pro is a b2c productivity based in Hong Kong SAR China..."
  },
  "jsonLd": {
    "@type": "Organization",
    "name": "CleanClip Pro",
    "url": "https://cleanclip.cc"
  }
}

🧭 Tips / Common Recipes

• Newest acquisition opportunities: use "order": "listed_at_desc" and a focused maxItems value such as 100.
• Full market export: set "maxItems": 0 to export every available startup record.
• Historical review: use "order": "listed_at_asc" to review older listings first.
• Spreadsheet analysis: export CSV or Excel and compare askingPrice, currentLast30DaysRevenue, multiple, and growth30d.

⚙️ Best Practices

• Set maxItems to the smallest number that fits your workflow for faster exports.
• Use JSON export when you need nested fields like aiEnrichment, askingPriceHistory, meta, or jsonLd.
• Contact fields are best-effort and may be empty for some startups.
• Some revenue, traffic, profit, or tech fields appear only when TrustMRR has that data available for a listing.

⚖️ Legal & Ethical Considerations

• Respect TrustMRR's Terms of Service and applicable website policies.
• Use data responsibly for research, analysis, and compliant business workflows.
• Handle contact data carefully and follow GDPR, CCPA, CAN-SPAM, and other applicable privacy and outreach rules.
• Avoid spam or abusive outreach based on exported contact fields.
• Verify important business decisions independently before making offers, investments, or acquisitions.

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by TrustMRR. All trademarks are the property of their respective owners.

❓ FAQ

Does this actor return live startup revenue data? It returns the latest startup records available to the actor at run time, including TrustMRR revenue fields such as last 30 days revenue, MRR, and total revenue when available.

Can I export every startup? Yes. Set maxItems to 0 to export all available records.

What order should I use for new deals? Use "listed_at_desc" to get newest listings first.

Why are some contact fields empty? Emails, socials, and phones are discovered when available. Some startups do not publish contact details or have websites that do not expose them clearly.

Can I use the data for outreach? Yes, but only in ways that comply with applicable laws, platform rules, and privacy requirements.

🛟 Support

Need a custom field, filter, or export format? Open an issue or contact me at https://igolaizola.com/#contact