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TrustMRR Scraper

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from $0.35 / 1,000 results

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TrustMRR Scraper

TrustMRR Scraper

[💰 $0.35 / 1K] Extract verified startup revenue from TrustMRR — MRR, total revenue, recent revenue, founders, tech stack, and for-sale asking prices. Scrape the Top 100 leaderboard, any category, the acquisition marketplace, or paste specific startup and category URLs.

Pricing

from $0.35 / 1,000 results

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SolidCode

SolidCode

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4 days ago

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Pull verified startup revenue from TrustMRR at scale — Stripe-verified MRR, last-30-day revenue, lifetime totals, active subscription counts, founder profiles, and tech stacks for hundreds of indie SaaS companies. Every number on TrustMRR is connected to a real payment provider, so you skip the self-reported guesswork that plagues most startup databases. Built for VC and angel investors, M&A buyers, founders, and B2B sales teams who need real, payment-verified SaaS revenue data without trawling profiles one tab at a time.

Why This Scraper?

  • Stripe-verified revenue, not self-reported — every record carries mrr, revenueLast30Days, lifetime totalRevenue, and activeSubscriptions, each tied to a connected payment provider rather than a founder's estimate.
  • The full ~230-startup revenue leaderboard — pull the top revenue-generating startups on TrustMRR in a single run, each with verified MRR and lifetime totals.
  • ~31 startup categories on tap — scrape any vertical by slug: saas, ai, developer-tools, fintech, productivity, marketing, e-commerce, and more.
  • Acquisition marketplace with deal terms — the for-sale feed returns forSale, askingPrice, and a formatted revenueMultiple (e.g. "1.95x") for every startup listed for acquisition.
  • Founder intel on every rowfounderName, their X (Twitter) handle, and a direct link to the founder profile, ready for outreach.
  • Per-startup tech stack — the tools and platforms each company is built on, joined into one techStack field for competitive teardowns.
  • Optional deep profiles — flip one switch to enrich each startup with TrustMRR rank, category, location, websiteUrl, foundedDate, and activeSubscriptions.
  • One flat row per startup — 20 clean columns, spreadsheet-ready, no nested JSON to flatten before you analyze.

Use Cases

Investment Sourcing

  • Surface the highest-MRR indie startups from the leaderboard for deal flow
  • Filter promising verticals like ai or developer-tools to build a watchlist
  • Rank prospects by verified revenue instead of pitch-deck projections
  • Track founder X handles to reach out before a company raises

M&A & Acquisition

  • Pull the for-sale marketplace with asking price and revenue multiple in one shot
  • Compare asking prices against verified MRR to spot fairly-priced deals
  • Build a pipeline of acquisition targets with revenue, age, and tech stack
  • Benchmark revenue multiples across categories to value your own deals

Competitive Intelligence

  • Map a category's revenue distribution to size your market
  • See which tech stacks the top-earning startups in your space run on
  • Monitor a competitor's verified MRR and subscriber count over time
  • Identify fast-growing newcomers by founded date and revenue

Sales Lead Generation

  • Build B2B lead lists of funded, revenue-positive SaaS companies
  • Capture founder name, X handle, and website for personalized outreach
  • Qualify prospects by MRR band before they ever hit your CRM
  • Target startups by category that match your ideal customer profile

Market Research & Benchmarking

  • Benchmark your own MRR against verified peers in the same category
  • Study revenue-to-subscriber ratios across the directory
  • Track which categories concentrate the most verified revenue
  • Analyze founding-year cohorts against their current revenue

Getting Started

The Revenue Leaderboard (simplest)

Scrape the top revenue-generating startups on TrustMRR, enriched with full profiles:

{
"source": "leaderboard",
"maxResults": 100
}

A Specific Category

Pull every startup in one or more categories by slug:

{
"categorySlugs": ["ai", "developer-tools"],
"scrapeProfiles": true,
"maxResults": 200
}

The Acquisition Marketplace

Get every startup listed for sale, with asking price and revenue multiple:

{
"source": "marketplace",
"maxResults": 0
}

Paste TrustMRR URLs Directly

Mix category, leaderboard, marketplace, and individual startup pages:

{
"startUrls": [
"https://trustmrr.com/category/fintech",
"https://trustmrr.com/startup/stan",
"https://trustmrr.com/acquire"
],
"scrapeProfiles": true,
"maxResults": 150
}

Input Reference

What to Scrape

Pick at least one source — paste URLs, choose a built-in source, or list category slugs. You can combine them.

ParameterTypeDefaultDescription
startUrlsstring[][]Paste TrustMRR URLs directly. Accepts category pages (trustmrr.com/category/saas), the marketplace (trustmrr.com/acquire), the leaderboard (trustmrr.com/top-100), or individual startups (trustmrr.com/startup/stan).
sourceselectTop 100 leaderboardA ready-made list to scrape without pasting URLs. Choose Top 100 leaderboard, For-sale marketplace, or None (use URLs or categories).
categorySlugsstring[][]Category slugs to scrape — the part after /category/ in the URL (e.g. ai, saas, developer-tools, fintech). One slug per line; each is fetched independently.

Enrichment & Limits

ParameterTypeDefaultDescription
scrapeProfilesbooleantrueWhen on, visits each startup's profile page to add deeper fields: lifetime total revenue, active subscriptions, founder name and X handle, location, founded date, tech stack, and TrustMRR rank. When off, you get the lighter list fields only.
maxResultsinteger100Cap on total startups across all sources. Set to 0 for no cap. The actor stops loading new pages once this number is reached and keeps the full final page.

Output

Each startup is one flat row. Here's a representative result with profiles enabled:

{
"name": "Stan",
"tagline": "The creator store for your audience",
"description": "Stan is an all-in-one creator store that lets you sell digital products, courses, and bookings.",
"mrr": 20594.04,
"revenueLast30Days": 21340.18,
"totalRevenue": 1284500,
"activeSubscriptions": 1840,
"rank": 7,
"category": "SaaS",
"foundedDate": "2022-01-15",
"location": "United States",
"websiteUrl": "https://stan.store",
"founderName": "Léo Bassam",
"founderXHandle": "vitddnv",
"founderUrl": "https://trustmrr.com/founder/vitddnv",
"techStack": "Next.js, Stripe, Vercel, PostgreSQL",
"forSale": false,
"askingPrice": null,
"revenueMultiple": null,
"url": "https://trustmrr.com/startup/stan"
}

Core Fields

FieldTypeDescription
namestringStartup name
taglinestringThe startup's summary line, as shown on TrustMRR
descriptionstringThe startup's description (same summary text TrustMRR publishes)
urlstringDirect TrustMRR profile URL

Revenue

FieldTypeDescription
mrrnumberCurrent monthly recurring revenue in USD
revenueLast30DaysnumberRevenue collected in the last 30 days, USD
totalRevenuenumberLifetime all-time revenue in USD
activeSubscriptionsnumberCount of currently active subscriptions

Founder

FieldTypeDescription
founderNamestringFounder's name
founderXHandlestringFounder's X (Twitter) handle
founderUrlstringLink to the founder's TrustMRR profile

For-Sale

Populated for startups in the acquisition marketplace.

FieldTypeDescription
forSalebooleanWhether the startup is listed for acquisition
askingPricenumberAsking price in USD for startups for sale
revenueMultiplestringAsking price as a revenue multiple (e.g. "1.95x")

Profile & Meta

Populated when Include full startup profiles is on.

FieldTypeDescription
ranknumberTrustMRR leaderboard rank
categorystringStartup category (e.g. "SaaS", "AI")
locationstringCountry or location
websiteUrlstringStartup's own website
foundedDatestringDate the startup was founded
techStackstringTools and platforms the startup is built on

Tips for Best Results

  • Leave profiles on for the rich fieldsrank, category, location, websiteUrl, foundedDate, techStack, and activeSubscriptions are only filled when Include full startup profiles is enabled. Turn it off only when you want a fast, lightweight pass of names and headline revenue.
  • The leaderboard surfaces the top revenue-generating startups — set a small maxResults (e.g. 25) to grab a focused slice of the highest-revenue companies for a quick deal-flow snapshot. Turn on profiles to get each startup's exact TrustMRR rank.
  • Use the marketplace for acquisitionsaskingPrice and revenueMultiple are populated for for-sale startups; pull source: "marketplace" with maxResults: 0 to capture the entire feed in one run.
  • Combine sources in a single run — list category slugs, set a built-in source, and paste URLs together; results are merged into one flat dataset.
  • Set maxResults to 0 for full categories — uncapped runs follow each category's pagination to the end so you never miss the long tail.
  • Founder X handles power outreachfounderXHandle and founderUrl give you a verified contact path straight to the person behind the revenue.

Pricing

From $0.35 per 1,000 results — pay only for the verified startup records you collect, with no minimums. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

ResultsNo discountBronzeSilverGold
100$0.04$0.04$0.04$0.04
1,000$0.41$0.39$0.37$0.35
10,000$4.10$3.90$3.70$3.50
100,000$41.00$39.00$37.00$35.00

A "result" is any startup row in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

  • Zapier / Make / n8n — Workflow automation
  • Google Sheets — Direct spreadsheet export
  • Slack / Email — Notifications on new results
  • Webhooks — Trigger custom APIs on run completion
  • Apify API — Full programmatic access

This actor is designed for legitimate market research, investment sourcing, competitive analysis, and lead generation using publicly available startup data. Users are responsible for complying with applicable laws and TrustMRR's Terms of Service. Do not use extracted data for spam, harassment, or any unlawful purpose, and handle any personal data (such as founder names and contact handles) in line with applicable privacy regulations.