TrustMRR Scraper
Pricing
from $1.00 / 1,000 records
TrustMRR Scraper
Extract startups listed for sale on TrustMRR with verified revenue: asking price, MRR, trailing 30 day revenue, profit margin, the implied revenue multiple, 30 day growth and offers received. Export data, run via API, schedule and monitor runs, or integrate with other tools.
Pricing
from $1.00 / 1,000 records
Rating
5.0
(1)
Developer
Public Money
Maintained by ApifyActor stats
1
Bookmarked
4
Total users
3
Monthly active users
21 hours ago
Last modified
Categories
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Acquisition marketplaces publish asking prices, and almost none publish revenue you can check. TrustMRR verifies revenue against the seller's payment processor, which makes its listings the rare case where a multiple means something. This Actor returns one structured record per listing: asking price, verified revenue, MRR, profit margin, the implied revenue multiple, 30 day growth and how many offers it has drawn.
What it does
- Returns the whole marketplace on the
listingsroute, or a fuller detail record per listing on thestartuproute, which carries MRR, total revenue, active subscriptions and more. - Carries verified revenue, not a seller's claim, because TrustMRR checks it against the payment processor.
- Computes the revenue multiple the asking price implies, so listings are comparable without a spreadsheet.
- Reports 30 day revenue growth, which is what separates a business that is compounding from one that is being sold on its peak.
- Carries the offer count, so demand for a listing is visible next to its price.
- Reports the profit margin, so revenue quality is visible rather than just revenue size.
Use cases
| You need to | How this Actor does it |
|---|---|
| Screen the market for value | Sort on revenueMultiple and filter on profitMarginPercent |
| Find businesses that are growing | Filter on revenueGrowth30dPercent above your threshold |
| Gauge demand for a listing | Read offerCount next to value |
| Track a category | Filter on category and schedule the run daily |
| Watch a specific listing | Use the startup route with its slug for the fuller figures |
| Feed a deal-sourcing agent | Call the Actor over MCP and let the model screen the market |
Quick start
- Click Try for free.
- Leave Route on
listingsto read every business currently for sale. - For the fuller figures on specific listings, switch Route to
startupand add slugs or listing URLs, one per line. - Click Start. Rows appear within seconds.
- Export as JSON, CSV, Excel or XML, or read the dataset over the API.
Input
| Field | Type | Default | What it controls |
|---|---|---|---|
route | string | listings | listings returns the whole marketplace, startup returns a detail record per slug |
slugs | array | empty | Slugs or listing URLs. Only used on the startup route |
maxItems | integer | 0 | Caps how many records are written. 0 writes them all |
{"route": "listings","maxItems": 0}
Output
One dataset item per listing. Fields TrustMRR does not publish for a listing are dropped rather than returned as null, so a listing with no verified revenue carries no revenue fields.
| Field group | Fields |
|---|---|
| Listing | status, name, category, url |
| Price | value, currency, revenueMultiple |
| Revenue | revenueLast30Days, monthlyRecurringRevenue, revenueGrowth30dPercent |
| Quality | profitMarginPercent, activeSubscriptions |
| Demand | offerCount |
| Timing | validFrom, scrapedAt |
{"status": "ok","name": "Invoice automation for freelancers","category": "SaaS","value": 84000,"currency": "USD","revenueMultiple": 3.1,"revenueLast30Days": 2260,"monthlyRecurringRevenue": 2180,"revenueGrowth30dPercent": 8.4,"profitMarginPercent": 71.2,"offerCount": 4,"validFrom": "2026-09-06T05:30:00.000Z","url": "https://trustmrr.com/startup/invoice-automation-for-freelancers"}
Integrations
Run it over the API and get the rows back in one call:
curl -X POST "https://api.apify.com/v2/acts/publicmoney~trustmrr-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \-H "Content-Type: application/json" \-d '{"route": "listings", "maxItems": 0}'
From Python:
from apify_client import ApifyClientclient = ApifyClient("YOUR_TOKEN")run = client.actor("publicmoney/trustmrr-scraper").call(run_input={"route": "listings", "maxItems": 0})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item["name"], item["value"], item["validFrom"])
Give an AI agent the Actor over MCP:
{"mcpServers": {"apify": {"url": "https://mcp.apify.com/?actors=publicmoney/trustmrr-scraper"}}}
Schedules run it on any cron, webhooks fire when a run finishes, and platform integrations push the dataset to Google Sheets, Slack, Airtable, Zapier or your own endpoint.
Cost
Pay per event, so you pay for records rather than compute time.
| Event | Free tier | Top volume tier |
|---|---|---|
| Record with data | $0.002 | $0.0007 |
| Actor start | $0.00005 per GB | Same |
A record that returned no data is published as a failure row and is never charged. Six volume tiers apply, so the per-record price falls with monthly volume.
Troubleshooting
| Issue | Solution |
|---|---|
The startup route returns failed | The slug is wrong. Copy it from the end of the listing URL, or paste the whole URL, which the Actor accepts. |
| A listing has no revenue fields | TrustMRR has not verified revenue for it. Treat the asking price as unbacked, which is the useful signal. |
revenueMultiple is missing | It cannot be computed without verified revenue. An unverified listing carries the price only. |
| Fewer listings than the site shows | Sold and withdrawn listings drop off the marketplace between runs. Schedule the Actor and accumulate to keep a history. |
slugs seems to be ignored | It only applies on the startup route. On listings the Actor reads the whole marketplace. |
FAQ
What makes TrustMRR different from other acquisition marketplaces?
It verifies revenue against the seller's payment processor rather than taking a claim. That makes a revenue multiple meaningful, which is not true of listings where the revenue is self-reported.
Does TrustMRR have an API?
No public API. This Actor reads the public marketplace pages, which need no login.
What is the difference between the two routes?
listings returns every business currently for sale, which is the screen. startup returns the fuller figures a detail page carries for the slugs you name, including MRR, total revenue and active subscriptions.
Does it include sold listings?
No. It reads what is currently for sale. Schedule the Actor and accumulate the dataset if you want to see what left the market and at what price it was listed.
Can I use this to value my own business?
You can see what comparable businesses are asking and what multiples the market is showing, which is useful context. It is not a valuation, and asking prices are not sale prices.
Do I need a TrustMRR API key?
No. You need an Apify token to call the Actor over the API. No TrustMRR credential is involved anywhere.
Can I get this data in Python?
Yes, with the apify-client package as shown above. It returns parsed JSON, so there is no HTML or response handling on your side.
Can I get the data into Excel or Google Sheets?
Yes. Export the dataset as XLSX or CSV, or connect the Google Sheets integration so each run appends to a sheet.
Can an AI agent call this Actor?
Yes. Add it to an MCP client with the config above and the model can request what it needs on its own. Every record is flat JSON with named fields, so no post-processing is needed.
Is it legal to scrape TrustMRR?
This Actor reads TrustMRR's public marketplace pages, which need no login. Listings describe businesses rather than named individuals, but a seller name or handle is personal data where it appears, so handle it under your own obligations. Take your own legal advice for your use case.
Changelog
- 0.0.2 Added the startup detail route, the revenue multiple and 30 day growth.
- 0.0.1 First release. The marketplace listings.
Feedback
Found a field TrustMRR publishes that this Actor misses, or an input it rejects? Open an issue on the Issues tab with the input and what you expected. A daily test runs every Actor in the fleet against live sources, so parser fixes ship fast.