apify-ecommerce
Scrape e-commerce data for pricing intelligence, customer reviews, and seller discovery across Amazon, Walmart, eBay, IKEA, and 50+ marketplaces. Use when user asks to monitor prices, track competitors, analyze reviews, research products, or find sellers.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/apify/agent-skills --skill apify-ecommerce- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads apify-ecommerce automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
E-commerce Data Extraction
Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.
Prerequisites
.envfile withAPIFY_TOKEN(at~/.claude/.env)- Node.js 20.6+ (for native
--env-filesupport)
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
{
"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 nameurl- Product URLoffers.price- Current priceoffers.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 relevanceMost helpful- Highest voted reviewsHighest rated- 5-star reviews firstLowest 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 |
FAQ
What does the apify-ecommerce skill do?
Scrape e-commerce data for pricing intelligence, customer reviews, and seller discovery across Amazon, Walmart, eBay, IKEA, and 50+ marketplaces. Use when user asks to monitor prices, track competitors, analyze reviews, research products, or find sellers.
How do I install apify-ecommerce?
Run npx skills add https://github.com/apify/agent-skills --skill apify-ecommerce in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/apify-ecommerce/ (personal) or .claude/skills/apify-ecommerce/ (project).
Which AI agents can use apify-ecommerce?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is apify-ecommerce safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains apify-ecommerce?
It is published by apify in apify/agent-skills, and it is an official skill from the maker of the technology it covers. It has 3,206 recorded installs.
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