Garrett Holmes Denver · replies within one business day

Case file № 002 · Integration · Automation · Publishing

Watching an app that has no API

System

Too Great to Go

Client

Production system · self-initiated


24/7
unattended, for months at a time
5 min
respectful polling interval
daily
almanac republish, hands off

Too Good to Go surplus-food "drops" sell out in minutes and the app tells no one. I built a resident service that watches it around the clock, pings Telegram the instant a bag comes back, and publishes a daily almanac of drop patterns to the web.

In
Too Good to Go closed app · no public API
The system
Python poller systemd service · rate-respectful
Observation store every state change, kept
Out
Telegram alert the moment a bag returns
The Drop Almanac republished daily, untouched
Fig. 1 — Observing a closed system, keeping what it does, publishing what it means.

Before

  • Bags appear and sell out in minutes; the only way to catch one was to obsessively refresh the app.
  • No public API, no notifications worth the name, no history of when stores actually drop.

After

  • A small Python service runs continuously on a Linux box under systemd, polling favorites at a respectful interval.
  • The moment a bag flips from sold-out to available, a Telegram message lands.
  • Every observation is stored, and a daily timer republishes “The Drop Almanac” — a website of when each store actually drops.

The verdict

This is what integration work looks like when there is no integration: observe a closed system, store what it does, and turn it into a public, self-updating publication — hands off, every day.

Pythonthe watcher: poll, diff, decide
systemdkeeps it alive; timers run the day
Telegram Bot APIalerts that arrive in seconds
Cloudflare Pagesthe almanac, published every morning

Garrett Holmes — The Operations Ledger

Composed by hand in Denver. Replies within one business day.