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Amazon Orders

Download and query your Amazon order history via an unofficial Python API and CLI.

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Download and query your Amazon order history via an unofficial Python API and CLI.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

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  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

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  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

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.

Upgrade existing

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Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 10 sections Open source page

amazon-orders Skill

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.

Install / upgrade

python3 -m pip install --upgrade amazon-orders (Install details and version pinning guidance are in the project README.)

Authentication options

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.)

Usage

You can use amazon-orders either as a Python library or from the command line.

Python: basic usage

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

CLI: common commands

# 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

Tips

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.).

Export yearly history to JSON

amazon-orders history --year 2023 --full-details > orders_2023.json

Quick totals check (requires jq)

amazon-orders history --last-30-days --full-details | jq -r '.[] | [.order_number, .grand_total] | @tsv'

Notes

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.).

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

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Package contents

Included in package
1 Docs
  • SKILL.md Primary doc