keepa
Interfaces with keepa.com's API.
Decision gist · record as of 2026-08-14
Yes, if you have a Keepa subscription and need to query Amazon product data programmatically. The library is actively maintained, has no known vulnerabilities, supports current Python versions (3.10+), and offers both sync and async interfaces. The permissive license and low install friction make it a straightforward choice for e-commerce automation. Without a Keepa subscription, it is not useful.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Keepa API access key and active monthly subscription from keepa.com; Python >= 3.10
- Low friction install with six common dependencies (numpy, requests, tqdm, aiohttp, pandas, pydantic).
- Active maintenance with recent release (43 days old) and steady repository activity.
License · maintenance · safety
permissive license (permissive) — Permissive license (Apache) means you can use this in commercial and proprietary projects without restriction.
last release 2026-07-02 (43 days) · last repo commit 2026-08-04 · 311 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 106,394 downloads/mo, #12,653 on PyPI
Alternatives
Verify before relying
pip install keepa
import keepa
api = keepa.Keepa('YOUR_ACCESS_KEY')
products = api.query('B0088PUEPK')
print(products[0]['title'])- Whether the async interface (AsyncKeepa) offers performance advantages over the synchronous client for bulk queries
- Rate limiting and token management details beyond the documented wait parameter behavior
- Whether matplotlib is truly optional or required for certain workflows beyond plot_product()
What it is and what it does
Keepa is a Python client for the Keepa.com API that retrieves Amazon product information, pricing history, and marketplace data. It wraps HTTP requests to Keepa's backend and returns product data as dictionaries or typed Pydantic models, with built-in support for batch queries, offer history, and buy-box statistics. The library also includes a plotting module for visualizing price trends when matplotlib is installed.
The package is designed for e-commerce researchers, price monitors, and arbitrage tools that need historical Amazon pricing and product metadata. It supports both blocking and async workflows via the Keepa and AsyncKeepa classes, and handles token-based rate limiting transparently. All queries require a valid Keepa subscription key, making it a bridge between your Python code and Keepa's commercial data service.
Use it for
- Monitor Amazon product price trends over time to identify buying opportunities or track competitor pricing
- Build a price-tracking dashboard that queries multiple ASINs and visualizes historical data with matplotlib
- Automate bulk product research by querying hundreds of ASINs asynchronously to find products by author, category, or other criteria
- Extract buy-box history and seller offer data to analyze marketplace competition and pricing patterns
- Integrate Keepa data into a pandas workflow for statistical analysis of price elasticity or seasonal trends
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you have a Keepa subscription and need to query Amazon product data programmatically.
The library is actively maintained, has no known vulnerabilities, supports current Python versions (3.10+), and offers both sync and async interfaces. The permissive license and low install friction make it a straightforward choice for e-commerce automation. Without a Keepa subscription, it is not useful.
Install
keepa on PyPI
Before you install
Low friction install with six common dependencies (numpy, requests, tqdm, aiohttp, pandas, pydantic). Active maintenance with recent release (43 days old) and steady repository activity.
Requires a Keepa API access key and active monthly subscription from keepa.com; Python >= 3.10
License in practice
Permissive license (Apache) means you can use this in commercial and proprietary projects without restriction.
Quickstart
pip install keepa
import keepa
api = keepa.Keepa('YOUR_ACCESS_KEY')
products = api.query('B0088PUEPK')
print(products[0]['title'])Verify before relying
- Whether the async interface (AsyncKeepa) offers performance advantages over the synchronous client for bulk queries
- Rate limiting and token management details beyond the documented wait parameter behavior
- Whether matplotlib is truly optional or required for certain workflows beyond plot_product()
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesnumpyrequeststqdmaiohttppandaspydantic |
| Maintenance | Actively maintained 43 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 106,394 / month, #12,653 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: End Users/DesktopLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Database :: Front-Ends |
Evidence: keepa-1.5.0-py3-none-any.whl
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