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Desktop app

Shop Analyzer for Handmade Sellers

Estimate a competing shop's monthly sales and revenue from public information, then track it over time and watch the estimate get sharper.

Version

1.0

Last updated

August 2026

Licence

Single user, one machine

Every seller on a handmade marketplace wants the same number: how much is that competitor actually selling? The marketplace does not publish it, and the paid research tools that claim to know are estimating too. This tool estimates the same way they do, runs on your own machine, and shows you its working instead of hiding it behind a subscription dashboard.

Estimates that improve while you watch

The first analysis gives you a usable number immediately. The second one, days or weeks later, gives you a much better one: comparing two snapshots of the same shop turns guesswork into an observed rate. Keep a competitor on the watchlist and the estimate sharpens every time you refresh.

Alongside the headline number you get a month-by-month sales and revenue curve, the listings that are genuinely moving, the shop’s average price and rating, and everything converted to a single currency so two shops in different countries can be compared honestly.

Honest about what it is

These are estimates, exactly like the ones the commercial tools sell. Treat them as directional — good enough to decide which niche to enter, which competitor to study and what a realistic monthly target looks like. The tool reads only public pages that any visitor can see, requires no login anywhere, and collects no private seller information. It is an independent tool and is not affiliated with, endorsed by or connected to any marketplace.

What it does

Monthly sales and revenue estimates Turn a shop's public figures into a monthly sales rate and a revenue estimate
using the same class of method the well-known paid tools rely on.
Three estimation methods
best first A tracked method that compares snapshots over time
a current-rate method that reads recent activity
and a lifetime average as a last resort. The headline always shows the best one available.
It sees growth
not just averages A young shop selling far more this quarter than its lifetime average is measured on its recent rate
so fast-growing competitors are not understated.
Sales and revenue chart A month-by-month curve you can narrow to the last month
six months
a year
or the full captured history.
Best-seller ranking Which listings are actually moving
sortable by estimated sales
sample size or price.
Everything converted to one currency Prices are normalised to US dollars with a live exchange rate
so shops in different regions are directly comparable. The original currency and rate are always shown.
Bulk competitor tracking Every shop you analyse joins a watchlist. Refresh them on a schedule and each one gains history — the more snapshots
the more accurate the estimate.
Your own database Snapshots are stored locally in a simple database file you own
with an API you can call from a scheduled task.
Public information only Reads the same public shop pages any visitor sees. No login
no private seller data
no account access.

Requirements

  • Windows 10 or 11
  • Python 3.11 or later installed
  • Google Chrome installed
  • One-off setup: pip install -r requirements.txt
  • An internet connection

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Let’s scope it properly

Tell us what you want to ship. We will tell you what it really takes.

Send us the shape of your idea and we will come back with a written scope, a realistic timeline, a fixed price band and the risks we would want to kill first. No decks, no discovery invoice, no pressure.

  • Written scope, not a sales deck
  • Reply within one business day
  • NDA on request, before you share anything

Send a two-line brief

Prefer the long version? The full brief takes about three minutes and gives us everything we need to quote properly. Open the full brief

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