Skip to main content

Automatically categorize Amazon transactions in YNAB with rich item information

Project description

YNAB Amazon Categorizer

An enhanced Python package that automatically categorizes Amazon transactions in YNAB (You Need A Budget) with rich item information and automatic memo generation.

Features

When you paste in the text from your Amazon order page:

🎯 Smart Order Matching: Automatically matches YNAB transactions with Amazon orders by amount and date
📝 Enhanced Memos: Generates detailed memos with item names and direct Amazon order links
🔄 Intelligent Splitting: Suggests splitting transactions with multiple items into separate categories
Streamlined Workflow: Smart defaults and tab completion for fast categorization
🌍 UTF-8 Support: Full emoji support in category names
📊 Rich Previews: Shows category names and transaction details before updating

Prerequisites

  • Python 3.7+
  • uv (recommended) or standard Python tooling
  • YNAB account with API access

Installation

Method 1: Run with uvx (Recommended)

# Run directly without installing (fastest and cleanest)
uvx ynab-amazon-categorizer

Method 2: Install as a tool

# Install globally with uv
uv tool install ynab-amazon-categorizer

# Then run
ynab-amazon-categorizer

Method 3: Development Installation

# Clone the repository
git clone https://github.com/dizzlkheinz/ynab-amazon-categorizer.git
cd ynab-amazon-categorizer

# Install in development mode
uv pip install -e .

Configuration Setup

After installation, you'll need to set up your YNAB API credentials:

Configuration File (.env)

Create a .env file in your working directory with your credentials:

YNAB_API_KEY=your_api_key_here
YNAB_BUDGET_ID=your_budget_id_here
YNAB_ACCOUNT_ID=none

Alternative: Environment Variables

# Windows
set YNAB_API_KEY=your_api_key_here
set YNAB_BUDGET_ID=your_budget_id_here

# Mac/Linux
export YNAB_API_KEY=your_api_key_here
export YNAB_BUDGET_ID=your_budget_id_here

Getting Your YNAB Credentials

API Key

  1. Go to YNAB Developer Settings
  2. Click "New Token"
  3. Copy the generated token

Budget ID

  1. Open your budget in YNAB
  2. Look at the URL: https://app.ynab.com/[budget_id]/budget
  3. Copy the budget_id part

Account ID (Optional)

  1. Click on a specific account in YNAB
  2. Look at the URL: https://app.ynab.com/[budget_id]/accounts/[account_id]
  3. Copy the account_id part (or leave as 'none' to process all accounts)

Usage

Basic Usage

# Run with uvx (no installation needed)
uvx ynab-amazon-categorizer

# Or if installed as a tool
ynab-amazon-categorizer

# Or run as a Python module
python -m ynab_amazon_categorizer

Workflow

  1. Provide Amazon Orders Data (optional but recommended):

  2. Review Matched Transactions:

    • The script shows order details, items, and links before asking to categorize
    • For multiple items, it suggests splitting the transaction
  3. Categorize Transactions:

    • Use tab completion to select categories
    • Accept suggested memos or customize them
    • Confirm updates with enhanced previews

Keyboard Shortcuts

  • Tab: Auto-complete category names
  • Enter: Accept defaults (categorize, use suggested memo, confirm update)
  • Alt+Enter: Submit multiline input (Amazon orders data, custom memos)
  • Ctrl+C: Cancel current operation

Example Output

🎯 MATCHED ORDER FOUND:
   Order ID: 702-8237239-1234567
   Total: $57.57
   Date: July 31, 2025
   Order Link: https://www.amazon.ca/gp/your-account/order-details?ie=UTF8&orderID=702-8237239-1234567
   Items:
     - Fancy Feast Grilled Wet Cat Food, Tuna Feast - 85 g Can (24 Pack)
     - Fancy Feast Grilled Wet Cat Food, Salmon & Shrimp Feast in Gravy - 85 g Can (24 Pack)

Action? (c = categorize/split, s = skip, q = quit, default c): 
There is more than one item in this transaction.
Split this transaction? (y/n, default n): y

Generated Memos

Single Item Transaction

Fancy Feast Grilled Wet Cat Food, Tuna Feast - 85 g Can (24 Pack)
 https://www.amazon.ca/gp/your-account/order-details?ie=UTF8&orderID=702-8237239-0563450

Split Transaction Main Memo

2 Items:
- Fancy Feast Grilled Wet Cat Food, Tuna Feast - 85 g Can (24 Pack)
- Fancy Feast Grilled Wet Cat Food, Salmon & Shrimp Feast in Gravy - 85 g Can (24 Pack)

Security Notes

⚠️ Important: Never commit your .env file to version control!

  • The script loads credentials from environment variables or config file
  • Your API key is never hardcoded in the script
  • Add .env to your .gitignore if using git

Troubleshooting

"No orders could be parsed"

  • Make sure you're copying the full Amazon orders page content
  • Try copying from a different browser or clearing browser cache

"API Key not found"

  • Verify your .env file exists and has the correct format
  • Check that your API key is valid in YNAB Developer Settings

"No transactions found"

  • Ensure you have uncategorized Amazon transactions in YNAB
  • Check that the payee names contain "amazon", "amzn", or "amz"

Emoji display issues

  • Use python -X utf8 on Windows for proper emoji support
  • Ensure your terminal supports UTF-8 encoding

Contributing

This package was developed to streamline YNAB Amazon transaction categorization. Feel free to suggest improvements or report issues!

License

This project is licensed under the GNU General Public License v3.0 (GPL-3.0). See the LICENSE file for details.

Please respect YNAB's API terms of service when using this software.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ynab_amazon_categorizer-2.0.0.tar.gz (68.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ynab_amazon_categorizer-2.0.0-py3-none-any.whl (30.8 kB view details)

Uploaded Python 3

File details

Details for the file ynab_amazon_categorizer-2.0.0.tar.gz.

File metadata

  • Download URL: ynab_amazon_categorizer-2.0.0.tar.gz
  • Upload date:
  • Size: 68.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for ynab_amazon_categorizer-2.0.0.tar.gz
Algorithm Hash digest
SHA256 3d1eb606652eb97ffbeaa45c0c712487c6d3b413cc2deb00d220eceae240b937
MD5 5ebcb6710d65b910ce7b82b25357c556
BLAKE2b-256 3208db85d5dd5870ea54b07fb46b34f69be0109ad06019d08b2057df73cc7d11

See more details on using hashes here.

Provenance

The following attestation bundles were made for ynab_amazon_categorizer-2.0.0.tar.gz:

Publisher: release.yml on dizzlkheinz/ynab-amazon-categorizer

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ynab_amazon_categorizer-2.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for ynab_amazon_categorizer-2.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 78f6b9c5a0ca9ba29a55166cae073f12aa72e9c832a0b665d8a7cd0444f9ea8d
MD5 e0c77c5de8cef038e9cf17384dd91260
BLAKE2b-256 264b1ac6f52e27b386861ec0c50848bcf0c9baebee385d003746b9ebe535ebae

See more details on using hashes here.

Provenance

The following attestation bundles were made for ynab_amazon_categorizer-2.0.0-py3-none-any.whl:

Publisher: release.yml on dizzlkheinz/ynab-amazon-categorizer

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page