TrustMRR Scraper

TrustMRR Scraper extracts startup data from TrustMRR (trustmrr.com), the database of 11,000+ startups with payment-verified revenue. Revenue is synced directly from payment providers such as Stripe, LemonSqueezy, Paddle and RevenueCat, so the numbers are real. Every startup includes MRR, last-30-day revenue, total revenue, 30-day growth, active subscriptions, profit margin, rank, category, country, founder and X (Twitter) profile, tech stack and an AI business summary. For startups for sale you also get the asking price, revenue multiple, offer count, price history and seller message. Filter by MRR, revenue, asking price, category and country, and export to CSV, Excel or JSON.

What does TrustMRR Scraper do?

• 💵 Verified revenue: MRR, last-30-day revenue and all-time revenue for every startup.
• 📈 Growth: 30-day revenue growth and MRR growth, active subscriptions, profit margin.
• 🏷️ Startups for sale: asking price, revenue multiple, number of offers, listing date, price history and seller message. Ideal for micro-acquisitions and deal sourcing.
• 👤 Founder info: founder name, X (Twitter) profile and followers, looking-for-cofounder flag.
• 🧰 Tech stack and marketing channels used by each startup.
• 🧠 Business summary: value proposition, problem solved, pricing model, target audience, B2B/B2C and tags.
• 🎯 Filters: for-sale only, minimum MRR, minimum 30-day revenue, maximum asking price, categories, countries and text search.
• ⚡ Quick mode: just the recently added and fastest-growing startups.

What data can you scrape from TrustMRR?

Use cases for verified startup revenue data

• Micro-acquisitions and deal sourcing: find profitable startups for sale under your budget, sorted by revenue multiple.
• Investors and search funds: screen bootstrapped SaaS by MRR, growth and margin.
• Indie hackers and founders: research which niches, pricing models and tech stacks make real money.
• Market research: benchmark revenue by category, country and business model.
• Lead generation: reach founders of growing startups for B2B services, partnerships or sponsorships.
• Newsletters and content: publish weekly lists of fastest-growing or newly listed startups.

How to scrape TrustMRR

1. Click Try for free to open TrustMRR Scraper in Apify Console.
2. Pick All startups, or Recently added + fastest growing for a quick run.
3. Optionally turn on Only startups for sale and set MRR, revenue, asking price, category or country filters.
4. Set Max startups and click Start.
5. Download the startups as CSV, Excel or JSON.

Input

Example input

{
  "mode": "all",
  "onSaleOnly": true,
  "minMrr": 1000,
  "maxAskingPrice": 100000,
  "categories": ["Software", "Artificial Intelligence"],
  "countries": ["US", "GB"],
  "includeAiInsights": true,
  "maxItems": 200
}

Output

Startup example

{
  "name": "1Lookup",
  "slug": "1lookup",
  "url": "https://trustmrr.com/startup/1lookup",
  "website": "https://www.1lookup.io",
  "description": "The #1 tool for validating phone, email and IP data in real time.",
  "category": "Software",
  "country": "US",
  "foundedDate": "2022-01-19T00:00:00.000Z",
  "totalRevenue": 5236768.06,
  "mrr": 244608.56,
  "revenueLast30Days": 397161.13,
  "activeSubscriptions": 688,
  "growth30dPercent": 1.87,
  "mrrGrowth30dPercent": 5.49,
  "profitMarginLast30Days": 40,
  "paymentProvider": "stripe",
  "rank": 23,
  "onSale": true,
  "askingPrice": 10000000,
  "revenueMultiple": 2.1,
  "listedForSaleAt": "2026-03-16T09:27:10.257Z",
  "offerCount": 69,
  "askingPriceHistory": [{ "price": 1000000, "date": "2025-12-19T16:23:35.247Z" }, { "price": 10000000, "date": "2026-03-16T09:27:10.265Z" }],
  "founderName": "Robby Frank",
  "founderX": "https://x.com/robbyfrank",
  "founderXFollowers": 4713,
  "techStack": ["nextjs", "postgresql", "stripe"],
  "valueProposition": "34 data products on one key and one shared credit balance: validation, enrichment, B2B prospecting, SEO and transcription.",
  "pricingModel": "One credit balance for everything, pay only for what you use.",
  "businessType": "B2B",
  "tags": ["saas", "developer-tools", "analytics", "marketing", "sales"]
}

Output schema

How much does it cost to scrape TrustMRR?

TrustMRR Scraper uses pay-per-startup pricing: you pay a small fixed price only for startups that match your filters and are saved, with automatic discounts on higher Apify plans. See the Pricing tab for the exact price. A full scan of all 11,000+ startups takes about 20–30 minutes.

More company and startup data

• Tech Stack Detector: detect the technologies behind any website.
• Website Contact Scraper: emails, phones and social links from any website.
• Company Jobs Scraper: see which startups are hiring.

FAQ

Is the revenue data real? TrustMRR syncs revenue directly from each startup's payment provider, so MRR and revenue are verified rather than self-reported.

How do I find startups to buy? Turn on Only startups for sale, set a Maximum asking price and a Minimum MRR, and sort the results by revenueMultiple.

Can I scrape specific startups? Yes. Paste TrustMRR startup links or slugs into Specific startups.

How do I track the fastest-growing startups? Use Recently added + fastest growing and schedule the scraper daily or weekly.

Am I charged for startups that don't match my filters? No. You are only charged for startups saved to your dataset.

What formats can I export? CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

Can I integrate TrustMRR Scraper with other apps? TrustMRR Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is it legal to scrape TrustMRR? The scraper only collects data that TrustMRR displays publicly. You are responsible for using it in line with TrustMRR's terms and privacy laws.

Notes

Original clean-room implementation. Returns only public data. Not affiliated with TrustMRR.

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.