Score an Amazon FBA wholesale list in one Python command (free, no dependencies)

Description and use

A Python script rapidly evaluates fees, profit, and ROI for Amazon FBA wholesale listings, outputting BUY/MAYBE/PASS verdicts.

Problem

Most Amazon wholesale price lists contain many unprofitable items; manually calculating fees and ROI for hundreds of rows is slow.

Outcome

The script scores 4 sample items: 1 BUY, 1 MAYBE, 2 PASS, demonstrating its ability to filter out unprofitable or high-competition listings early.

Workflow

• Clone the repository: git clone https://github.com/mcrbilly7/fba-triage-kit
• Navigate into the folder: cd fba-triage-kit
• Run the script with a sample CSV: python fba_triage.py examples/sample_candidates.csv -o scored.csv
• Adjust thresholds if needed: python fba_triage.py my_list.csv --min-roi 30 --min-profit 3 -o scored.csv
• Export and update fee table if Amazon fees change: python fba_triage.py --dump-fees > fees.json and re-run with --fees fees.json

Evidence

I wrote a small, dependency-free Python script that does that first pass: give it a CSV of candidate products and it estimates fees, profit and ROI for every row, then ranks them with a BUY / MAYBE / PASS verdict and a plain-English reason.

Source

Rows are sorted by profit times estimated monthly sales, so the top of the file is where your attention should go.

Source

This is a triage tool, not a guarantee of profit. Always confirm your finalists in Amazon's Revenue Calculator and check gating and brand restrictions before you buy inventory.

Source