Mindvalley Stories
Case Study · AI Mastery

A student built an automation that sorts Amazon purchases and saves hours

An automation that pulls Amazon order history and categorizes every purchase, turning a monthly chore into a quick run.

This student took a tedious monthly task, sorting through Amazon purchases, and built a working automation to do it for them. They documented the whole journey, from the first build to real debugging and a first production run. It is a clear example of someone turning a small daily frustration into a tool of their own.

Mindvalley student
A student who turned a personal bookkeeping chore into a self-built automation.

Amazon Scrubber Agent

Before

Every month, their Amazon purchases had to be sorted and categorized. It was the kind of repetitive work that quietly ate hours. The task was necessary, but it took time they would rather spend elsewhere.

The turning point

During the program they decided to build something to handle it. They worked through the build step by step, wrote the code, and met real debugging challenges along the way. They kept notes on each stage, from setup to troubleshooting.

After

They now have a working automation, the Amazon Scrubber, that gathers their order history and produces a categorized spreadsheet. They completed a first production run and wrote up its results and known limitations. They also prepared a presentation with before-and-after screenshots showing the workflow in action.

What it lets people do

The tool takes a list of Amazon orders and sorts each purchase into categories automatically. What used to take hours of manual sorting each month becomes a short, repeatable run.

What they learned

Building it showed them that a real tool comes from working through problems, not avoiding them. By documenting the setup, the fixes and the limits honestly, they turned a one-off script into something they understand and can keep improving.

Amazon Scrubber Agent was built during AI Mastery.

Read the full submission
This submission includes the following supporting files: - Amazon_Scrubber_ClaudeRecommendation.md — Full technical write-up: how the automation works end-to-end, the build process, real debugging challenges encountered, and what makes this project unique. - amazon_order_scraper_05022026.py — The actual source code for the automation (personal file path redacted from comments; no credentials or account data of any kind are present in the script). - amazon_scrubber_Technical.md — Technical reference covering setup, run steps, configuration, and troubleshooting. - amazon_scraper_summary_05022026.md — Session summary documenting first production run results and known limitations. - Amazon Scrubber Agent Presentation.key — Keynote deck with before/after screenshots demonstrating the workflow in action. - Amazon_After_ScrubberSample.csv — Sanitized sample output showing the CSV after auto-categorization (fabricated data, not real purchase history). - Amazon Scrubber Personal Note.pdf — Personal note describing the project's origin, build experience, and impact.

Written 3 August 2026 Submitted by the storyteller

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