apify-ecommerce

Extract product data, prices, reviews, and seller information from 50+ e-commerce marketplaces. Three workflow modes: Products & Pricing (price tracking, competitor analysis), Customer Reviews (sentiment analysis, quality issues), and Seller Intelligence (vendor discovery via Google Shopping) Supports Amazon (20+ regions), Walmart, eBay, IKEA, Costco, and European retailers; input via product URLs, category URLs, or keyword search Optional AI-powered analysis generates insights on price ranges, sentiment trends, and seller patterns; results exportable as CSV or JSON Requires Apify token in ~/.claude/.env and Node.js 20.6+

INSTALLATION
npx skills add https://github.com/apify/agent-skills --skill apify-ecommerce
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

$2a

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

{

  "detailsUrls": [

    {"url": "https://www.amazon.com/dp/B09V3KXJPB"},

    {"url": "https://www.walmart.com/ip/123456789"}

  ],

  "additionalProperties": true

}

Example - Keyword Search

{

  "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:

{

  "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

{

  "reviewListingUrls": [

    {"url": "https://www.amazon.com/dp/B09V3KXJPB"}

  ],

  "sortReview": "Most recent",

  "additionalReviewProperties": true,

  "maxReviewResults": 500

}

Example - Keyword Search

{

  "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

{

  "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

SKILL_PATH=~/.claude/skills/apify-ecommerce

Step 2: Run Script

Quick answer (display in chat):

node --env-file=~/.claude/.env $SKILL_PATH/reference/scripts/run_actor.js \

  --actor "apify/e-commerce-scraping-tool" \

  --input 'JSON_INPUT'

CSV export:

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:

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

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