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
maxReviewResultsfor 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