ScrapersUse CasesAboutBlogContact
View on Apify

Ecommerce Data

Collect structured product data from marketplaces and retail sites — titles, identifiers, prices, availability, ratings, images, descriptions and variations.

How it works

These Actors are designed to chain — the output of one is the input of the next.

  1. 1

    Discover products

    Amazon Search Scraper turns a keyword into a list of product URLs across a category.

  2. 2

    Extract the detail

    Amazon Product Scraper returns full product records including ASIN variation relationships.

  3. 3

    Extend beyond Amazon

    AliExpress and the fashion-retail Actors cover catalogues outside the Amazon ecosystem.

Scrapers for this use case

5 Goldmine Actors serve this workflow.

Amazon

Amazon Product Scraper

Amazon product scraper by URL or Amazon ASIN. Scrape Amazon product data: title, price, features, images, technical specifications, ratings and variations. Amazon scraper for market research, price comparison and competitive analysis.

Amazon

Amazon Search Scraper

Amazon search scraper: scrape Amazon search results by keyword. Amazon keyword scraper for Amazon product search listings with titles, sale and original prices, ratings, review counts and product URLs, across result pages.

Ecommerce

AliExpress Product Scraper | E-commerce Data Extraction

AliExpress scraper for search, category and product pages. Scrape AliExpress products with price, discount, rating, sales count, variants with per-SKU price and stock, shipping and store. AliExpress product scraper returning AliExpress product data in your currency and ship-to country.

Ecommerce

SSENSE Scraper

SSENSE scraper for search, category and product pages. Scrape SSENSE products into fashion product data: brand, product name, price, images, URL and the full product description, as JSON, CSV or Excel.

Ecommerce

Revolve Scraper

Revolve scraper for search, category and product pages. Revolve.com scraper returning Revolve product data: pricing, variants, images and badges, as JSON, CSV or Excel.

What this does not solve

Worth knowing before you build a process on top of it.

  • Review text is not extracted — star ratings and review counts are, individual reviews are not.
  • Prices are captured at run time and differ by region and account.
  • Each retailer has its own page structure; field completeness varies between sources.

Other use cases