Extract product data, prices, reviews, and seller information from 50+ e-commerce marketplaces.
Works with
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
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionapify-ecommerceExecute the skills CLI command in your project's root directory to begin installation:
Fetches apify-ecommerce from apify/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate apify-ecommerce. Access via /apify-ecommerce in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.
.env file with APIFY_TOKEN (at ~/.claude/.env)--env-file support)| 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 |
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
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 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 |
{
"detailsUrls": [
{"url": "https://www.amazon.com/dp/B09V3KXJPB"},
{"url": "https://www.walmart.com/ip/123456789"}
],
"additionalProperties": true
}
{
"keyword": "Samsung Galaxy S24",
"marketplaces": ["www.amazon.com", "www.walmart.com"],
"additionalProperties": true,
"maxProductResults": 50
}
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"
}
name - Product nameurl - Product URLoffers.price - Current priceoffers.priceCurrency - Currency code (may vary by seller region)brand.slogan - Brand name (nested in object)image - Product image URLadditionalProperties: trueNote: Currency may vary in results even for US searches, as prices reflect different seller regions.
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 Type | Field | Description |
|---|---|---|
| Product URLs | reviewListingUrls |
Product pages to extract reviews from |
| Keyword Search | keywordReviews + marketplacesReviews |
Search for product reviews by keyword |
{
"reviewListingUrls": [
{"url": "https://www.amazon.com/dp/B09V3KXJPB"}
],
"sortReview": "Most recent",
"additionalReviewProperties": true,
"maxReviewResults": 500
}
{
"keywordReviews": "wireless earbuds",
"marketplacesReviews": ["www.amazon.com"],
"sortReview": "Most recent",
"additionalReviewProperties": true,
"maxReviewResults": 200
}
Most recent - Latest reviews first (recommended)Most relevant - Platform default relevanceMost helpful - Highest voted reviewsHighest rated - 5-star reviews firstLowest rated - 1-star reviews firstNote: 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.
maxReviewResults for statistical significanceUse 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.
{
"googleShoppingSearchKeyword": "Nike Air Max 90",
"scrapeSellersFromGoogleShopping": true,
"countryCode": "us",
"maxGoogleShoppingSellersPerProduct": 20,
"maxGoogleShoppingResults": 100
}
| 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 |
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
www.walmart.com, www.costco.com, www.costco.ca, www.homedepot.com
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
Supports all major IKEA regional sites with multiple language options.
Use for seller discovery across multiple stores.
SKILL_PATH=~/.claude/skills/apify-ecommerce
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
Report:
| 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 |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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apify-ecommerce has been reliable in day-to-day use. Documentation quality is above average for community skills.
apify-ecommerce fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
apify-ecommerce reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend apify-ecommerce for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for apify-ecommerce matched our evaluation — installs cleanly and behaves as described in the markdown.
apify-ecommerce reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: apify-ecommerce is focused, and the summary matches what you get after install.
Useful defaults in apify-ecommerce — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend apify-ecommerce for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for apify-ecommerce matched our evaluation — installs cleanly and behaves as described in the markdown.
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