oxylabs/how-to-scrape-amazon-product-data resource
The process of extracting product data from Amazon using Python, including titles, ratings, prices, images, and descriptions. observed · 2026-08-28
Health v2 · maintenance only
61/100
- Activity 86
- Release rhythm 35
- Longevity 52
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 729
- days_rel: n/a
- days_push: 86
- n_releases_24m: 0
Adoption not part of the score
3197 stars · 12 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
learning-resource · maturity active
web-scraping parser http-client web-development e-commerce crawlers tutorials python cross-platform amazon-scraper beautifulsoup requests ecommerce-data tutorial example-code csv-export
10 sources
- readme: https://github.com/oxylabs/how-to-scrape-amazon-product-data · fetched 2026-08-28 · 411e713c7fa2
- homepage: https://oxylabs.io/products/scraper-api/ecommerce/amazon · fetched 2026-08-29 · 31a2c98bb822
- site_page: https://oxylabs.io/pricing/residential-proxy-pool · fetched 2026-08-29 · d8c3539d674c
- site_page: https://oxylabs.io/pricing/datacenter-proxies · fetched 2026-08-29 · a39ab34a07cb
- site_page: https://oxylabs.io/pricing/isp-proxies · fetched 2026-08-29 · 87b5f4f7021c
- site_page: https://oxylabs.io/pricing/dedicated-isp-proxies · fetched 2026-08-29 · 509c3990bb5b
- site_page: https://oxylabs.io/products/mobile-proxies/pricing · fetched 2026-08-29 · 664f4e0f92c0
- site_page: https://oxylabs.io/products/scraper-api/web/pricing · fetched 2026-08-29 · 5c6bb6019652
- site_page: https://oxylabs.io/pricing/headless-browser · fetched 2026-08-29 · 9e91f81ccdea
- site_page: https://oxylabs.io/products/web-unblocker/pricing · fetched 2026-08-29 · 156416b731b5
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| oxylabs/how-to-scrape-amazon-product-data | main | 61 |
For agents
markdown · JSON · MCP: product_card(name="oxylabs/how-to-scrape-amazon-product-data")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem