apify-ecommerce skill
Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.
Is the apify-ecommerce skill safe?
Clean: nothing in its files matched our rules. We read 3 files in the folder on 2026-09-28.
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Install the apify-ecommerce skill
A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description.
git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git /tmp/agentic-awesome-skills mkdir -p ~/.claude/skills cp -r /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/apify-ecommerce ~/.claude/skills/apify-ecommerce
In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub
The instructions your agent would load
SKILL.md as published, without the frontmatter. Read it on GitHub
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
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 resultsWorkflow 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
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:
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
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
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-ecommerceStep 2: Run Script
Quick answer (display in chat):
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