القائمة
Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/BEKO2210/Firstbrain --skill apify-ecommerceيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para proyectos de IA en español.
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.
Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio siguiendo el Estándar de Diamante.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | apify-ecommerce |
| description | Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool. |
| type | skill |
| created | 2026-02-27T00:00:00.000Z |
| domain | data |
| category | data-analysis |
| risk | unknown |
| source | community |
| tags | ["skill","data","data-analysis","apify","ecommerce"] |
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 |
reference/scripts/run_actor.jsreference/scripts/package.json