Rytterfalk
Plate C · CodeLive at lager.rytterfalk.comPython · Raspberry Pi 5

Lager

Every Apple product in every Power store in Sweden, read four times a day.

Open Lager
Illustration with made-up values · rows are stores, columns are products

From scraper to answer

  1. Fetch

    At 00, 12, 15 and 17 every day, a Python script reads stock from Power’s own interfaces: broad data first, exact counts after.

  2. Store

    Everything goes into a database on my Raspberry Pi 5, with a snapshot for every day.

  3. Prepare

    Heavy calculations are done ahead of time as cache files, so pages load instantly.

  4. Show

    An overview per store, top lists, trends, outlet and new products.

  5. Ask

    An MCP server lets AI assistants such as Hubben ask about stock in plain words.

What it does

Every store, every product

See what is available where, across every store and the whole Apple range.

Top lists

What is selling fastest right now, and which stores are best stocked.

Outlet finds

Outlet items are fetched separately, so the bargains show up straight away.

Finds new products

New Apple products are discovered automatically and added to the watch list.

AI insights

A dedicated view where AI summarises what has happened in stock.

Built for more

The platform is being rebuilt so more brands and partners can use it.

Under the hood