Website data APIs by MrScraper, $756K a month, self-reported: API plus proxies

MrScraper turns websites into clean, structured data through an API. Its $756K a month was reported by the founder in an interview (not independently verified), as of February 16th, 2025.

What it actually sells

MrScraper sells an AI-powered web data API with built-in proxies, headless browsers, and automation tools. It converts web pages into clean, structured data, and its API and SDKs support further automation.

How it charges

Scraper Pro costs $199/month and includes 200,000 tokens. Customers can upgrade from Scraper Free or move to a Custom plan, with the Custom plan booked through a call.

Where customers come from

The site addresses data researchers, e-commerce businesses, enterprise teams, and developers. It tells visitors: “Get clean, structured data from any website at any scale.”

What stands out

The product combines an API, AI-based extraction, auto-rotated residential proxies, headless browsers, and JavaScript controls. Any scraper can run on a schedule from once a minute to specific days of the week, with each run delivering results onward automatically.

From the official site

Get clean, structured data from any website at any scale.

Our AI understands the page, finds what matters, and gives you structured results automatically.

Excerpts from the official website, fetched October 1, 2026.

Where it sits in the data

MrScraper's $756K a month is higher than 97% of the 6,604 projects with founder-reported monthly revenue in our dataset; the median across them is $2K. Snapshot: 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.

Currency

All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.

Could you build something like this?

My view is that demand would come from businesses and teams that need website data delivered through software. Buyers would include data researchers, e-commerce businesses, enterprise teams, and developers. Distribution would need to reach developers through an API, SDKs, documentation, and relevant marketplaces.

The hard part is operating extraction infrastructure, proxy rotation, browser rendering, scheduling, and reliable structured results. You would also face support load, website restrictions, data rules, and competition. My view is that a narrow workflow could establish a starting point, while the full product requires substantial engineering and operational work.

Verdict: Hard to replicate.

One thing to take from it

MrScraper packages website data extraction around an API, AI, proxies, headless browsers, JavaScript controls, scheduling, and result delivery. Its documentation, SDKs, and marketplace APIs give developers several visible ways to encounter and use the product.

Sources

MrScraper official website, fetched October 1, 2026
MrScraper pricing page, fetched October 1, 2026
MrScraper about page, fetched October 1, 2026
Starter Story founder interview: revenue reported by the founder in an interview (not independently verified), as of February 16th, 2025

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure