TrustMRR Scraper — Verified Startup Revenue, MRR & Acquisition Listings

Extract payment-provider-verified startup revenue data from TrustMRR — the public database of 15,000+ startups with Stripe/LemonSqueezy/RevenueCat-verified revenue and 3,000+ startups listed for sale. Every row carries verified revenue summaries, a monthly revenue timeline, current MRR, growth rates, tech stack, marketing channels, and — for marketplace listings — the asking price, revenue multiple, seller message, and buyer-interest stats. No browser, no login: pure HTTP against public pages, billed per result.

How it works

✨ Why use this scraper?

• Verified numbers, not self-reported claims — TrustMRR revenue comes straight from connected payment providers (Stripe, LemonSqueezy, Polar, Paddle, RevenueCat, and more).
• Full monthly revenue timelines — up to 12+ months of verified revenue per startup, ready for trend analysis.
• Acquisition deal flow — asking price, revenue multiple, first-listed date, seller message, and how many buyers viewed and made offers.
• Whole-database mode — flip one toggle to enumerate all ~15,000 startups via the public sitemaps.
• 50+ structured fields per row — founder, country, category, tech stack, marketing channels, SEO domain rating, GitHub activity.
• Fast and cheap — one HTTP request per startup, no browser rendering, high concurrency.

🎯 Use cases

Who	What they do with it
Buyers & micro-PE	Screen the acquire marketplace by revenue, multiple, and growth before making offers
Investors & analysts	Track verified MRR growth across categories (AI, SaaS, fintech, …) month over month
Founders	Benchmark revenue, pricing models, and marketing channels against verified peers
Lead-gen & sales	Build lists of revenue-verified startups by tech stack or category, with websites and founders
Researchers & media	Analyse the indie-SaaS economy with payment-provider-backed data

📥 Supported inputs

Input	Example
Acquire marketplace	https://trustmrr.com/acquire
Category page	https://trustmrr.com/category/saas
Tech-stack page	https://trustmrr.com/tech/nextjs
Marketing-channel page	https://trustmrr.com/channels/seo
Recently added	https://trustmrr.com/recent
Founder page	https://trustmrr.com/founder/marclou
Direct startup URL	https://trustmrr.com/startup/datafast
Whole database	enable Scrape the entire database (no URL needed)

Not supported: logged-in metric timelines (MRR history, churn history, visitor history, Search Console history) — TrustMRR only exposes those to authenticated accounts. Public snapshots and verified revenue summaries ARE included.

🔄 How it works

1. Classify every start URL — startup URLs, listing pages, and sitemaps are auto-detected.
2. Collect startup slugs from each listing (the acquire marketplace additionally merges TrustMRR's public deals endpoint) or from the sitemaps in whole-database mode.
3. Fetch each startup's public profile in parallel with automatic retries.
4. Parse 50+ fields: verified revenue, monthly timeline, MRR, acquisition data, tech stack, channels, founder.
5. Filter (optional) to startups currently listed for sale.
6. Push one clean row per startup to the dataset — JSON or CSV export.

⚙️ Input parameters

Field	Type	Default	Description
startUrls	array	["https://trustmrr.com/acquire", "https://trustmrr.com/category/saas"]	Any trustmrr.com URLs — auto-classified
scrapeAll	boolean	false	Enumerate ALL ~15,000 startups via public sitemaps
forSaleOnly	boolean	false	Keep only startups currently listed for sale
enrichEmails	boolean	false	Experimental: visit each startup's own website to find a contact email
maxItems	integer	100	Hard cap on rows collected
maxConcurrency	integer	10	Profiles processed in parallel
proxy	object	Apify proxy	TrustMRR has no aggressive anti-bot; defaults work

📊 Output overview

One row per startup. Revenue values are USD numbers (not strings). monthlyRevenue is an array of {month, revenue} points. Acquisition fields (askingPrice, revenueMultiple, offersCount, …) are populated when the startup is listed for sale, null/false otherwise.

📦 Output sample

{
    "type": "startup",
    "name": "NextjobConnect LLC",
    "slug": "nextjobconnect-llc",
    "trustmrrUrl": "https://trustmrr.com/startup/nextjobconnect-llc",
    "website": "https://nextjobconnect.com/",
    "websiteDomain": "nextjobconnect.com",
    "description": "Real-time job leads for home service contractors...",
    "country": "US",
    "foundedDate": "2025-05-01",
    "paymentProvider": "Stripe",
    "merchantOfRecord": false,
    "revenueLastSyncedAt": "2026-07-14T23:38:33.834Z",
    "revenueLast30Days": 6700,
    "revenueLast12Months": 42676,
    "revenueAllTime": 45776,
    "revenueGrowth30d": 5.3,
    "monthlyRevenue": [
        { "month": "2026-05", "revenue": 6484 },
        { "month": "2026-06", "revenue": 5664 },
        { "month": "2026-07", "revenue": 3334 }
    ],
    "mrr": 7570,
    "mrrGrowth30d": 16.7,
    "activeSubscriptions": 33,
    "profitMargin30d": 65,
    "pricingModel": "Flat monthly rate",
    "targetAudience": "B2C",
    "category": "SaaS",
    "relatedMarkets": ["Marketplace"],
    "techStackFrontend": ["React", "Capacitor"],
    "techStackBackend": ["Python", "SQLite", "Firebase", "Stripe", "Twilio"],
    "forSale": true,
    "askingPrice": 100000,
    "revenueMultiple": 1.2,
    "firstListedForSaleAt": "2026-05-21",
    "buyersViewedRecently": 9438,
    "offersCount": 33,
    "offerUrl": "https://trustmrr.com/startup/nextjobconnect-llc?offer=1",
    "scrapedAt": "2026-07-15T09:03:41.212Z"
}

🗂 Key output fields

Group	Fields
Identity	name, slug, trustmrrUrl, website, websiteDomain, iconUrl, description, country, foundedDate
Founder	founderName, founderProfileUrl, founderXFollowers
Verification	paymentProvider, merchantOfRecord, revenueLastSyncedAt, googleAnalyticsConnected, googleSearchConsoleConnected
Revenue	revenueLast24Hours … revenueAllTime, revenueGrowth30d, monthlyRevenue[]
Metrics	mrr, mrrGrowth30d, activeSubscriptions, visitorsLast30Days, revenuePerVisitor30d, profitMargin30d
Positioning	valueProposition, problemSolved, pricingModel, targetAudience, estimatedUserCount, category, relatedMarkets[]
Tech & growth	techStackFrontend[], techStackBackend[], marketingChannels[], seoDomain, seoDomainRating, githubConnected, githubContributionsLast7Days/30Days/Year
Acquisition	forSale, askingPrice, revenueMultiple, firstListedForSaleAt, buyersViewedRecently, offersCount, offerUrl, sellerMessage
Extras	screenshots[], contactEmail* / contactWebsite* (*with enrichEmails)

❓ FAQ

How do I get ONLY the startups for sale? Set startUrls to https://trustmrr.com/acquire for the current featured deals (~50), or enable both scrapeAll and forSaleOnly to sweep the whole database for every for-sale listing.

How many startups can I get? The whole public database — roughly 15,000 startups — via the scrapeAll toggle. Category/tech/channel pages return their top listings (~30 each); the full sweep uses the sitemaps.

Is the revenue data reliable? It's TrustMRR's verified data, synced from connected payment providers (Stripe, LemonSqueezy, RevenueCat, Paddle, and others). The row includes revenueLastSyncedAt so you can see how fresh each startup's sync is.

Why are MRR/churn/visitor histories missing? TrustMRR only exposes those timelines to logged-in accounts. This actor scrapes public pages only — you still get the full monthly revenue timeline, current MRR, and last-30-day snapshots.

Do I need a proxy? The default Apify proxy is fine. TrustMRR has no aggressive anti-bot protection.

💬 Support

• 🐛 Found a bug? Open an issue on the actor's Issues tab in the Apify Console.
• 💡 Need a custom field or a bigger integration? Message me through Apify.

🛠 Additional services

Need this data delivered to your warehouse, merged with other marketplaces (Acquire, Flippa, Investors.club), or monitored on a schedule? I build custom pipelines — get in touch via Apify.

🔎 Explore more scrapers

Check my Apify profile for 300+ actors: apify.com/memo23 — including Acquire.com and other startup-marketplace scrapers.

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🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/trustmrr-scraper).

Purpose: Extract payment-provider-verified startup revenue, MRR, and acquisition-listing data from public TrustMRR pages.

Minimal input:

{
  "startUrls": ["https://trustmrr.com/acquire"],
  "maxItems": 25
}

To sweep the whole database instead of specific URLs, set "scrapeAll": true (no start URL needed). Other fields: forSaleOnly (keep only for-sale listings), enrichEmails (best-effort contact-email lookup via each startup's own site), maxConcurrency (default 10), proxy (default Apify proxy works).

Output: one dataset row per startup — type, name, slug, trustmrrUrl, website, websiteDomain, description, country, foundedDate, paymentProvider, merchantOfRecord, revenueLastSyncedAt, revenueLast30Days, revenueLast12Months, revenueAllTime, revenueGrowth30d, monthlyRevenue[] (each {month, revenue}), mrr, mrrGrowth30d, activeSubscriptions, profitMargin30d, pricingModel, targetAudience, category, relatedMarkets[], techStackFrontend[], techStackBackend[], marketingChannels[], seoDomainRating, forSale, askingPrice, revenueMultiple, firstListedForSaleAt, buyersViewedRecently, offersCount, offerUrl, sellerMessage, scrapedAt, plus contactEmail/contactWebsite when enrichEmails is on.

Behaviors an agent should know:

• Always set maxItems — scrapeAll enumerates ~15,000 startups and an uncapped run visits every profile.
• Start URLs are auto-classified (listing, category, tech, channel, founder, or direct startup URLs); scrapeAll adds a full sitemap sweep on top of any start URLs.
• forSaleOnly filters after fetching, so a full for-sale sweep still fetches every profile.
• Logged-in metric timelines (MRR/churn/visitor/Search Console history) are not available — public pages only.
• Billing: per result — see the Pricing tab on the actor page.

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⚠️ Disclaimer

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

The scraper accesses only publicly available startup-profile pages and public endpoints — no authenticated endpoints, no logged-in metric timelines, and no content behind a TrustMRR account. Users are responsible for ensuring their use complies with TrustMRR's Terms of Service, applicable data-protection law (GDPR, CCPA, etc.), and any contractual obligations of their own organisation.

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