Pricing
from $0.40 / 1,000 startup founds
TrustMRR Startup scraper
Get all startups listed in any category on TrustMRR startup database. Get all information about each startup, like revenue, founding year, and location.
Pricing
from $0.40 / 1,000 startup founds
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a month ago
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Scrape any category or country page on TrustMRR and extract verified startup revenue data (MRR, total revenue), founder profiles, and tech stacks.
What is the TrustMRR startup database?
TrustMRR is a database of startups to promote the build in public movement. It is a project developed and maintained by Marc Lou.
All startups listed on TrustMRR need to connect their Stripe billing. So, TrustMRR only displays real revenue numbers (no fake or inflated revenue claims).
Why to get data from TrustMRR?
TrustMRR is a valuable source of insight about startups. You can query the data for multiple use-cases:
- Monitor trending tech: for example by monitoring OpenClaw startup and checking the tech stack they use.
- Monitor a specific startup vertical: for example monitor the AI startups
- Analyse the startup ecosystem of specific country: for example by mining data about Czech startups
How to use the trustMRR scraper?
This scraper is designed to scrape any category listed on TrustMRR.
You can find a list of available categories here. You can also scrape startup based on location using the url : https://trustmrr.com/country/ + {alpha 2 country code} For example https://trustmrr.com/country/cz for Czech based startups.
Inputs
This scraper takes 3 inputs:
- TrustMRR category URL: you can list as many categories as you wish to scrape
- Scrape profile: toggle it if you want to get all the information from the startup profiles
- Max number of scroll: by default TrustMRR category display 30 results. Each scroll will display 30 more results. By default this scraper will perform 10 scrolls.
Outputs
This scraper returns 2 result files:
- Overview
- Profile List
The Overview dataset has two fields:
- Category URL: the TrustMRR category URL you scrape
- startup URL: the TrustMRR startup profile
The Profile List dataset includes:
- TrustMRR profile: the TrustMRR startup profile that you can match with "startup Url" property from the Overview tab
- Startup Name
- Tagline
- Total revenue
- MRR
- Founded: the founding year of the startup
- Location: the headquarters location of the startup
- Last 4 weeks Revenue
- Website
- Value proposition of the startup
- The problem this startup solves
- Tech stack used by this startup
- TrustMRR profile of the founder
Scheduling
Apify allows you to schedule a scraper for recurrent launch. This is perfect if you want to monitor the performance of a specific startup category.
Check out this tutorial for more information about scheduling options.
FAQ
Why not use TrustMRR API?
TrustMRR has an official API, and if you know your way around API you can check the documentation here.
However TrustMRR API has a low rate limit at only 20 requests per minute. So if you are looking for a wide scale monitoring of TrustMRR, webscraping will be a more scalable option.
What are TrustMRR alternative?
When it comes to open data about build in public startups TrustMRR is in a league of its own. IndieHackers also provide MRR data about a few project but those number are self reported and easily be inflated.
If you are looking for an alternative to TrustMRR to sell your startup: Flippa and Acquire are worth checking out.
Can I use integrations with the TrustMRR Startup Scraper?
You can use Apify platform integrations to push data to a third-party tool.
Can I use the TrustMRR Startup Scraper through an MCP Server?
With Apify API, you can use almost any Actor in conjunction with an MCP server. You can connect to the MCP server using clients like ClaudeDesktop and LibreChat, or even build your own. Read all about how you can set up Apify Actors with MCP.
Is this Actor open source?
The first version of this scraper was open source. Given the spirit of openness behind TrustMRR platform I wanted to make this scraper fully open source. You can find the source code here
This scraper is also fully copyleft. You are free to use and edit the source code as you wish, even for commercial applications.
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