TrustMRR Startup Scraper — Extract verified startup revenue data at scale

TrustMRR is a database of startups built to promote the build-in-public movement. Every revenue figure on the site is verified directly through Stripe, LemonSqueezy, or Polar — no self-reported numbers. The project was created and is maintained by Marc Lou, one of the most prominent indie hackers building in public.

This actor lets you pull that verified startup data into your own workflows. You get MRR, growth rates, categories, acquisition listings, founder details, and more — without touching a browser.

What data does this actor extract?

Each record includes:

Field	Type	Description
name	string	Startup name
slug	string	URL-safe identifier (used in TrustMRR page path)
url	string	Direct link to the startup's TrustMRR profile
website	string	The startup's own website
iconUrl	string	Logo image URL
description	string	Short description of what the startup does
mrr	number	Last-30-days revenue in USD, verified by payment provider
allTimeRevenue	number	Total all-time revenue in USD
category	string	Industry category (AI, SaaS, Developer Tools, etc.)
rank	integer	Leaderboard rank on TrustMRR (1 = highest MRR)
onSale	boolean	Whether the startup is listed for acquisition
askingPrice	number	Acquisition asking price in USD
multiple	number	Revenue multiple (askingPrice / MRR)
growthMoM	number	Month-over-month revenue growth percentage
paymentProvider	string	Stripe, LemonSqueezy, or Polar
founder	string	Founder name
founderCountry	string	Founder's country
foundedAt	string	When the startup was founded (ISO date)
createdAt	string	When the listing was added to TrustMRR
scrapedAt	string	Timestamp of when this record was collected

Input

Parameter	Type	Default	Description
mode	string	leaderboard	What to scrape: leaderboard (top by MRR), acquire (for-sale listings), recent (newly added), or all (full sitemap)
categories	string[]	[]	Filter by category — e.g. ["AI", "SaaS"]. Leave empty for all.
minMrr	integer	0	Minimum MRR in USD. 0 disables the filter.
maxMrr	integer	0	Maximum MRR in USD. 0 disables the filter.
onSaleOnly	boolean	false	Return only startups currently listed for acquisition.
maxItems	integer	100	Cap on records collected per run (max 1000).
timeoutSecs	integer	300	Hard timeout for the full actor run.
requestTimeoutSecs	integer	30	Per-request HTTP timeout.

Example input

{
    "mode": "leaderboard",
    "categories": ["AI", "SaaS"],
    "minMrr": 1000,
    "maxMrr": 50000,
    "maxItems": 200
}

To scrape every startup on TrustMRR and filter to acquisition listings only:

{
    "mode": "all",
    "onSaleOnly": true,
    "maxItems": 500
}

Output

Records are stored in the Apify dataset. Example entry:

{
    "id": "66a1c3f2e4b0a1d2c3e4f5a6",
    "name": "ShipFast",
    "slug": "shipfast",
    "url": "https://trustmrr.com/startup/shipfast",
    "website": "https://shipfa.st",
    "description": "Ship your startups in days, not months!",
    "mrr": 8916,
    "allTimeRevenue": 1235882,
    "category": "Developer Tools",
    "rank": 55,
    "onSale": false,
    "askingPrice": null,
    "multiple": null,
    "growthMoM": -48.27,
    "paymentProvider": "Stripe",
    "founder": "Marc Lou",
    "founderCountry": "Singapore",
    "foundedAt": "2024-01-01T00:00:00.000Z",
    "createdAt": "2024-02-15T10:23:41.000Z",
    "scrapedAt": "2025-03-01T08:14:22.123456+00:00"
}

How it works

1. Depending on mode, the actor fetches either a TrustMRR listing page (leaderboard / acquire / recent) or the full startup sitemap.
2. Startup slugs are extracted from the server-rendered HTML or sitemap XML.
3. For each slug, the actor fetches the individual /startup/[slug] page and parses the embedded Next.js RSC data to extract structured startup fields.
4. Active filters (minMrr, maxMrr, categories, onSaleOnly) are applied before each record is saved.
5. The run stops once maxItems records have been collected.

Use cases

• Market research — Track which categories are growing and which are declining month-over-month across hundreds of verified indie startups.
• Acquisition scouting — Pull all for-sale listings with their asking price and revenue multiples to find undervalued acquisition targets.
• Competitive analysis — Monitor MRR and growth for startups in a specific category or niche.
• Build-in-public analytics — Aggregate data from the TrustMRR leaderboard to study trends in the indie hacker ecosystem.
• Lead generation — Identify high-growth startups by category to target with tools, services, or partnerships.
• Portfolio tracking — Automate periodic scrapes to track a watchlist of startups over time.

FAQ

Does this actor require a TrustMRR account or API key? No. All data scraped by this actor is publicly available on trustmrr.com. No login or API key is needed.

How current is the data? TrustMRR updates MRR data hourly from payment provider APIs. The actor scrapes whatever is live at the time of the run.

What is "all" mode and when should I use it? "All" mode fetches the full sitemap (600+ startups) and visits each individual page. Use it when you want a comprehensive dataset. For a quick snapshot of the top performers, "leaderboard" mode is faster.

Can I filter by multiple categories? Yes. Pass an array: ["AI", "SaaS", "Developer Tools"]. The filter checks if any of the provided strings appear in the startup's category.

What does a negative growthMoM mean? It means the startup's last-30-days revenue dropped compared to the previous 30 days. TrustMRR shows this for all verified startups regardless of direction.

Who built TrustMRR? TrustMRR was created and is maintained by Marc Lou, a Singapore-based indie hacker known for building and shipping multiple profitable SaaS products in public.

Integrations

Connect this actor with other tools using Apify integrations. You can pipe results into Google Sheets, Airtable, Slack, Zapier, Make, or any webhook endpoint. You can also use Apify webhooks to trigger downstream actions whenever a scrape completes.