Extract product data and reviews from e-commerce sites

This skill extracts product data, prices, reviews, and seller information from e-commerce platforms using Apify's E-commerce Scraping Tool, organized into three workflows selected by need. Workflow 1, Products & Pricing, pulls product data, prices, and stock status from direct product URLs (detailsUrls), category or search-result URLs (listingUrls), or a keyword plus a list of marketplaces, and can add an AI summary by supplying fieldsToAnalyze and a customPrompt. Workflow 2, Customer Reviews, extracts reviews from product URLs (reviewListingUrls) or a keyword search (keywordReviews plus marketplacesReviews), sorted by Most recent, Most relevant, Most helpful, Highest rated, or Lowest rated. Workflow 3, Seller Intelligence, finds sellers across stores through Google Shopping using a googleShoppingSearchKeyword and flags such as scrapeSellersFromGoogleShopping, countryCode, and result caps; the skill is explicit that direct seller profile URLs are not reliably supported, so Google Shopping search is the intended path. Supported marketplaces span 20 Amazon regional sites, major US retailers (Walmart, Costco, Costco.ca, Home Depot), several European retailers (Allegro, Alza, Kaufland, Cdiscount), over 40 IKEA country and language combinations, and Google Shopping itself.

Use this skill for price monitoring, competitor product comparison, MAP (minimum advertised price) enforcement, or review-driven quality and sentiment analysis on e-commerce marketplaces - it is built for pricing analysts, product managers, market researchers, brand managers, CX and QA teams, brand protection teams, and procurement or supply chain managers. Do not treat a review sort by Lowest rated as reliable across every marketplace - the skill itself flags that this sort option can behave inconsistently, and recommends pulling a larger sample and filtering by rating afterward instead. As with the skill's stated limitations, it should be used only when the task clearly matches this scope, is not a substitute for environment-specific validation or expert review, and calls for stopping to ask for clarification when required inputs, permissions, safety boundaries, or success criteria are missing.

Every workflow needs an .env file with APIFY_TOKEN and Node.js 20.6 or newer for native --env-file support. A Products & Pricing request can look like this verbatim keyword-search input:

{
  "keyword": "Samsung Galaxy S24",
  "marketplaces": ["www.amazon.com", "www.walmart.com"],
  "additionalProperties": true,
  "maxProductResults": 50
}

Product output fields include name, url, offers.price, offers.priceCurrency (which the skill warns can vary by seller region even for a US search), brand.slogan, image, and additional seller or stock fields when additionalProperties is true. The extraction runs via run_actor.js against the apify/e-commerce-scraping-tool Actor, with --output and --format flags for CSV or JSON exports, or no file for a quick in-chat answer. The closing step reports the number of items extracted, the output file's location, and workflow-specific insights: price range and MAP violations for products, average rating and sentiment trends for reviews, or seller count and unauthorized sellers found for seller intelligence.

The skill runs on the Apify platform through the apify/e-commerce-scraping-tool Actor and depends on Node's native .env loading for the APIFY_TOKEN credential. Documented error handling covers a missing APIFY_TOKEN, an unrecognized Actor ID, a failed run pointing to the Apify console link, timeouts (fixed by reducing maxProductResults or raising --timeout), no results (invalid or inaccessible URLs), and an invalid marketplace value that does not exactly match the supported list.

Pricing analysts and product managers tracking competitor prices and MAP compliance, brand and CX teams mining reviews for sentiment and defect patterns, and brand-protection or procurement teams hunting unauthorized resellers across Amazon, Walmart, Costco, Home Depot, major European retailers, and IKEA's regional storefronts.