Skill

SkillsSoftware Development › E-commerce & platform integrations

apify-ecommerce

Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.

Freerisk: low
apifyecommerce

The full skill

— name: apify-ecommerce description: "Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool." risk: unknown source: community — # E-commerce Data Extraction Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool. ## When to Use – You need product, pricing, review, stock, or seller data from e-commerce sites. – The task involves price monitoring, competitor product comparison, MAP enforcement, or review analysis. – You need a guided workflow for extracting marketplace data and summarizing findings. ## Prerequisites – `.env` file with `APIFY_TOKEN` (at `~/.claude/.env`) – Node.js 20.6+ (for native `–env-file` support) ## Workflow Selection | User Need | Workflow | Best For | |———–|———-|———-| | Track prices, compare products | Workflow 1: Products & Pricing | Price monitoring, MAP compliance, competitor analysis. Add AI summary for insights. | | Analyze reviews (sentiment or quality) | Workflow 2: Reviews | Brand perception, customer sentiment, quality issues, defect patterns | | Find sellers across stores | Workflow 3: Sellers | Unauthorized resellers, vendor discovery via Google Shopping | ## Progress Tracking “` Task Progress: – [ ] Step 1: Select workflow and determine data source – [ ] Step 2: Configure Actor input – [ ] Step 3: Ask user preferences (format, filename) – [ ] Step 4: Run the extraction script – [ ] Step 5: Summarize results “` — ## Workflow 1: Products & Pricing **Use case:** Extract product data, prices, and stock status. Track competitor prices, detect MAP violations, benchmark products, or research markets. **Best for:** Pricing analysts, product managers, market researchers. ### Input Options | Input Type | Field | Description | |————|——-|————-| | Product URLs | `detailsUrls` | Direct URLs to product pages (use object format) | | Category URLs | `listingUrls` | URLs to category/search result pages | | Keyword Search | `keyword` + `marketplaces` | Search term across selected marketplaces | ### Example – Product URLs “`json { "detailsUrls": [ {"url": "https://www.amazon.com/dp/B09V3KXJPB"}, {"url": "https://www.walmart.com/ip/123456789"} ], "additionalProperties": true } “` ### Example – Keyword Search “`json { "keyword": "Samsung Galaxy S24", "marketplaces": ["www.amazon.com", "www.walmart.com"], "additionalProperties": true, "maxProductResults": 50 } “` ### Optional: AI Summary Add these fields to get AI-generated insights: | Field | Description | |——-|————-| | `fieldsToAnalyze` | Data points to analyze: `["name", "offers", "brand", "description"]` | | `customPrompt` | Custom analysis instructions | **Example with AI summary:** “`json { "keyword": "robot vacuum", "marketplaces": ["www.amazon.com"], "maxProductResults": 50, "additionalProperties": true, "fieldsToAnalyze": ["name", "offers", "brand"], "customPrompt": "Summarize price range and identify top brands" } “` ### Output Fields – `name` – Product name – `url` – Product URL – `offers.price` – Current price – `offers.priceCurrency` – Currency code (may vary by seller region) – `brand.slogan` – Brand name (nested in object) – `image` – Product image URL – Additional seller/stock info when `additionalProperties: true` > **Note:** Currency may vary in results even for US searches, as prices reflect different seller regions. — ## Workflow 2: Customer Reviews **Use case:** Extract reviews for sentiment analysis, brand perception monitoring, or quality issue detection. **Best for:** Brand managers, customer experience teams, QA teams, product managers. ### Input Options | Input Type | Field | Description | |————|——-|————-| | Product URLs | `reviewListingUrls` | Product pages to extract reviews from | | Keyword Search | `keywordReviews` + `marketplacesReviews` | Search for product reviews by keyword | ### Example – Extract Reviews from Product “`json { "reviewListingUrls": [ {"url": "https://www.amazon.com/dp/B09V3KXJPB"} ], "sortReview": "Most recent", "additionalReviewProperties": true, "maxReviewResults": 500 } “` ### Example – Keyword Search “`json { "keywordReviews": "wireless earbuds", "marketplacesReviews": ["www.amazon.com"], "sortReview": "Most recent", "additionalReviewProperties": true, "maxReviewResults": 200 } “` ### Sort Options – `Most recent` – Latest reviews first (recommended) – `Most relevant` – Platform default relevance – `Most helpful` – Highest voted reviews – `Highest rated` – 5-star reviews first – `Lowest rated` – 1-star reviews first > **Note:** The `sortReview: "Lowest rated"` option may not work consistently across all marketplaces. For quality analysis, collect a large sample and filter by rating in post-processing. ### Quality Analysis Tips – Set high `maxReviewResults` for statistical significance – Look for recurring keywords: "broke", "defect", "quality", "returned" – Filter results by rating if sorting doesn't work as expected – Cross-reference with competitor products for benchmarking — ## Workflow 3: Seller Intelligence **Use case:** Find sellers across stores, discover unauthorized resellers, evaluate vendor options. **Best for:** Brand protection teams, procurement, supply chain managers. > **Note:** This workflow uses Google Shopping to find sellers across stores. Direct seller profile URLs are not reliably supported. ### Input Configuration “`json { "googleShoppingSearchKeyword": "Nike Air Max 90", "scrapeSellersFromGoogleShopping": true, "countryCode": "us", "maxGoogleShoppingSellersPerProduct": 20, "maxGoogleShoppingResults": 100 } “` ### Options | Field | Description | |——-|————-| | `googleShoppingSearchKeyword` | Product name to search | | `scrapeSellersFromGoogleShopping` | Set to `true` to extract sellers | | `scrapeProductsFromGoogleShopping` | Set to `true` to also extract product details | | `countryCode` | Target country (e.g., `us`, `uk`, `de`) | | `maxGoogleShoppingSellersPerProduct` | Max sellers per product | | `maxGoogleShoppingResults` | Total result limit | — ## Supported Marketplaces ### Amazon (20+ regions) `www.amazon.com`, `www.amazon.co.uk`, `www.amazon.de`, `www.amazon.fr`, `www.amazon.it`, `www.amazon.es`, `www.amazon.ca`, `www.amazon.com.au`, `www.amazon.co.jp`, `www.amazon.in`, `www.amazon.com.br`, `www.amazon.com.mx`, `www.amazon.nl`, `www.amazon.pl`, `www.amazon.se`, `www.amazon.ae`, `www.amazon.sa`, `www.amazon.sg`, `www.amazon.com.tr`, `www.amazon.eg` ### Major US Retailers `www.walmart.com`, `www.costco.com`, `www.costco.ca`, `www.homedepot.com` ### European Retailers `allegro.pl`, `allegro.cz`, `allegro.sk`, `www.alza.cz`, `www.alza.sk`, `www.alza.de`, `www.alza.at`, `www.alza.hu`, `www.kaufland.de`, `www.kaufland.pl`, `www.kaufland.cz`, `www.kaufland.sk`, `www.kaufland.at`, `www.kaufland.fr`, `www.kaufland.it`, `www.cdiscount.com` ### IKEA (40+ country/language combinations) Supports all major IKEA regional sites with multiple language options. ### Google Shopping Use for seller discovery across multiple stores. — ## Running the Extraction ### Step 1: Set Skill Path “`bash SKILL_PATH=~/.claude/skills/apify-ecommerce “` ### Step 2: Run Script **Quick answer (display in chat):** “`bash node –env-file=~/.claude/.env $SKILL_PATH/reference/scripts/run_actor.js \ –actor "apify/e-commerce-scraping-tool" \ –input 'JSON_INPUT' “` **CSV export:** “`bash node –env-file=~/.claude/.env $SKILL_PATH/reference/scripts/run_actor.js \ –actor "apify/e-commerce-scraping-tool" \ –input 'JSON_INPUT' \ –output YYYY-MM-DD_filename.csv \ –format csv “` **JSON export:** “`bash node –env-file=~/.claude/.env $SKILL_PATH/reference/scripts/run_actor.js \ –actor "apify/e-commerce-scraping-tool" \ –input 'JSON_INPUT' \ –output YYYY-MM-DD_filename.json \ –format json “` ### Step 3: Summarize Results Report: – Number of items extracted – File location (if exported) – Key insights based on workflow: – **Products:** Price range, outliers, MAP violations – **Reviews:** Average rating, sentiment trends, quality issues – **Sellers:** Seller count, unauthorized sellers found — ## Error Handling | Error | Solution | |——-|———-| | `APIFY_TOKEN not found` | Ensure `~/.claude/.env` contains `APIFY_TOKEN=your_token` | | `Actor not found` | Verify Actor ID: `apify/e-commerce-scraping-tool` | | `Run FAILED` | Check Apify console link in error output | | `Timeout` | Reduce `maxProductResults` or increase `–timeout` | | `No results` | Verify URLs are valid and accessible | | `Invalid marketplace` | Check marketplace value matches supported list exactly | ## Limitations – Use this skill only when the task clearly matches the scope described above. – Do not treat the output as a substitute for environment-specific validation, testing, or expert review. – Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.