Claude-skill-registry amazon-order-matcher

Scrape Amazon order history and match to Monarch Money transactions for auto-categorization. Uses browser automation to extract order details, then matches by amount and date to categorize uncategorized transactions.

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/amazon-order-matcher" ~/.claude/skills/majiayu000-claude-skill-registry-amazon-order-matcher && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/data/amazon-order-matcher" ~/.openclaw/skills/majiayu000-claude-skill-registry-amazon-order-matcher && rm -rf "$T"

manifest: skills/data/amazon-order-matcher/SKILL.md

Amazon Order Matcher

Automatically categorize Amazon purchases in Monarch Money by matching against Amazon order history.

How It Works

Scrape Amazon Orders: Browser automation (profile
```
openclaw
```
) extracts order history
Match Transactions: Matches by amount (exact match) with date tolerance (bank posts 1-3 days after order)
Categorize: Auto-assigns categories based on Amazon product descriptions
Update Monarch: Batch updates via Monarch CLI

Quick Start

# Browser must be running with openclaw profile
browser action=start profile=openclaw

# Navigate to Amazon orders (login persisted in profile)
browser action=navigate targetUrl="https://www.amazon.com/your-orders/orders?timeFilter=year-2026"

# Extract orders via JavaScript evaluation (see scripts/extract_orders.js)
# Match to Monarch transactions (see scripts/match_and_categorize.py)
# Batch update (see scripts/batch_update.sh)

Scripts

Script	Purpose
`match_and_categorize.py`	Match Amazon orders to Monarch transactions, suggest categories
`batch_update.sh`	Apply category updates to Monarch
`quick_categorize.py`	Amount-based heuristics when order data unavailable

Category Mapping

Product Type	Monarch Category	Category ID
Baby gates, locks, protectors	Baby formula	225123032227674020
Health supplements	Household	162959461244237526
Home appliances	Household	162959461244237526
Cables, tools, work equipment	Business expense	178462006985127548
Electronics, gadgets	Jeremy Spending Money	162782301949818821
Car accessories	Transportation	162777981853398770
Gifts	Gifts	162777981853398756

Data Files

```
data/amazon_orders_2026.json
```
- Scraped order data with dates, amounts, products
Order data persists between sessions for re-matching

Browser Session

Amazon login is persisted in the

openclaw

browser profile:

No MFA needed on repeat visits
Session survives browser restarts
Target ID may change between sessions (get fresh via
```
browser action=tabs
```
)

Cron Schedule

Weekly reconciliation runs Sunday 8pm ET:

Scrapes new orders from Amazon
Matches to uncategorized Monarch transactions
Applies categories automatically
Reports summary to Telegram

Limitations

Amount matching only (no order ID correlation with bank data)
Multi-item orders may match incorrectly if total matches another order
Refunds/returns need manual review
Amazon Store Card transactions processed separately

First-Time Setup

Start browser:
```
browser action=start profile=openclaw
```
Navigate to Amazon and log in manually
Complete MFA verification
Login persists for future sessions