Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Download and query your Amazon order history via an unofficial Python API and CLI.
Download and query your Amazon order history via an unofficial Python API and CLI.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Interact with your Amazon.com order history using the unofficial amazon-orders Python package and CLI. Note: amazon-orders works by scraping/parsing Amazon's consumer website, so it can break if Amazon changes their pages. Only the English Amazon .com site is officially supported.
python3 -m pip install --upgrade amazon-orders (Install details and version pinning guidance are in the project README.)
amazon-orders can get credentials from (highest precedence first): environment variables, parameters passed to AmazonSession, or a local config. Environment variables: export AMAZON_USERNAME="you@example.com" export AMAZON_PASSWORD="your-password" # Optional: for accounts with OTP/TOTP enabled export AMAZON_OTP_SECRET_KEY="BASE32_TOTP_SECRET" (OTP secret key usage is documented by the project.)
You can use amazon-orders either as a Python library or from the command line.
from amazonorders.session import AmazonSession from amazonorders.orders import AmazonOrders amazon_session = AmazonSession("<AMAZON_EMAIL>", "<AMAZON_PASSWORD>") amazon_session.login() amazon_orders = AmazonOrders(amazon_session) # Orders from a specific year orders = amazon_orders.get_order_history(year=2023) # Or use a time filter for recent orders orders = amazon_orders.get_order_history(time_filter="last30") # Last 30 days orders = amazon_orders.get_order_history(time_filter="months-3") # Past 3 months for order in orders: print(f"{order.order_number} - {order.grand_total}") Full details (slower, more fields) Some order fields only populate when you request full details; enable it when you need richer order data: Python: full_details=True CLI: --full-details on history
# Authenticate (interactive / uses env vars if set) amazon-orders login # Order history amazon-orders history --year 2023 amazon-orders history --last-30-days amazon-orders history --last-3-months
If your account has MFA enabled, prefer setting AMAZON_OTP_SECRET_KEY for automated runs. When automating, keep credentials out of shell history: use environment variables and a secret manager (1Password, Vault, GitHub Actions secrets, etc.).
amazon-orders history --year 2023 --full-details > orders_2023.json
amazon-orders history --last-30-days --full-details | jq -r '.[] | [.order_number, .grand_total] | @tsv'
This is an unofficial scraper-based tool (no official Amazon API). Official docs are hosted on Read the Docs for advanced usage and APIs (Orders, Transactions, etc.).
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