# oxylabs/how-to-scrape-amazon-product-data

The process of extracting product data from Amazon using Python, including titles, ratings, prices, images, and descriptions.

Repository: https://github.com/oxylabs/how-to-scrape-amazon-product-data
Canonical: https://ross.abutalabs.com/products/how-to-scrape-amazon-product-data
Homepage: https://oxylabs.io/products/scraper-api/ecommerce/amazon
License Family: other
Topics: amazon, amazon-scraper, python, web-scraper, web-scraping, web-scraping-python
Last push: 2026-06-08T10:54:01+00:00

## Health v2 (maintenance only)
Score: 61/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 86, release rhythm 35, longevity 52
- inputs: {"age_days": 729, "days_push": 86, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3197, forks 12 (observed 2026-08-28T04:07:48.372747+00:00)

## What it is
A Python tutorial repository from Oxylabs demonstrating how to scrape Amazon product data (titles, ratings, prices, images, descriptions) using requests and BeautifulSoup, with CSV export. It doubles as promotional content pointing to Oxylabs' commercial Scraper API and proxy products.

## Use cases
- scrape amazon product data with python
- extract product titles prices and ratings from amazon
- learn web scraping with requests and beautifulsoup
- scrape amazon product pages by ASIN
- export scraped amazon data to csv
- amazon price monitoring script example

## When to choose
- you want a step-by-step walkthrough of scraping Amazon product pages in Python
- you need example code for parsing product name, rating, price, images, and description
- you are learning requests + BeautifulSoup scraping basics

## When to avoid
- you need a production-grade, maintained scraping library rather than tutorial code
- you want a license-protected reusable package (no license is provided)
- you want to avoid vendor marketing for Oxylabs proxy/scraper API services
- you need large-scale scraping without proxies or an API

## Facets
- artifact type: learning-resource
- maturity: active
- function: web-scraping, parser, http-client
- domain: web-development, e-commerce, crawlers, tutorials
- platform: python, cross-platform
- tags: amazon-scraper, beautifulsoup, requests, ecommerce-data, tutorial, example-code, csv-export

## Member repositories
- oxylabs/how-to-scrape-amazon-product-data (main) score 61

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:48.372747+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:24:52.772363+00:00, confidence not recorded.
  - readme: https://github.com/oxylabs/how-to-scrape-amazon-product-data (fetched 2026-08-28T04:07:48.372747+00:00, sha 411e713c7fa2)
  - homepage: https://oxylabs.io/products/scraper-api/ecommerce/amazon (fetched 2026-08-29T09:38:57.284920+00:00, sha 31a2c98bb822)
  - site_page: https://oxylabs.io/pricing/residential-proxy-pool (fetched 2026-08-29T09:38:57.287664+00:00, sha d8c3539d674c)
  - site_page: https://oxylabs.io/pricing/datacenter-proxies (fetched 2026-08-29T09:38:57.289669+00:00, sha a39ab34a07cb)
  - site_page: https://oxylabs.io/pricing/isp-proxies (fetched 2026-08-29T09:38:57.291445+00:00, sha 87b5f4f7021c)
  - site_page: https://oxylabs.io/pricing/dedicated-isp-proxies (fetched 2026-08-29T09:38:57.293523+00:00, sha 509c3990bb5b)
  - site_page: https://oxylabs.io/products/mobile-proxies/pricing (fetched 2026-08-29T09:38:57.295631+00:00, sha 664f4e0f92c0)
  - site_page: https://oxylabs.io/products/scraper-api/web/pricing (fetched 2026-08-29T09:38:57.297579+00:00, sha 5c6bb6019652)
  - site_page: https://oxylabs.io/pricing/headless-browser (fetched 2026-08-29T09:38:57.299334+00:00, sha 9e91f81ccdea)
  - site_page: https://oxylabs.io/products/web-unblocker/pricing (fetched 2026-08-29T09:38:57.301022+00:00, sha 156416b731b5)
- Data as of 2026-08-30T08:39:29.467469+00:00.