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⚡ How it fires
How this skill gets triggered: by you, by Claude, or both.
Fires itselfClaude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/apify-ecommerce
👁️ Context preview
The summary Claude sees to decide when to auto-load this skill.
Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.
📊 Stats
Stars43,759
Forks6,464
LanguagePython
LicenseMIT
📦 Ships with agentic-awesome-skills
</> SKILL.md
apify-ecommerce.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."
risk: unknown
source: community
---# 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
| 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 |
| Product URLs | `reviewListingUrls` | Product pages to extract reviews from |
| Keyword Search | `keywordReviews` + `marketplacesReviews` | Search for product reviews by keyword |
### Example - Extract Reviews from Product
```json
{
"reviewListingUrls": [
{"url": "https://www.amazon.com/dp/B09V3KXJPB"}
],
"sortReview": "Most recent",
"additionalReviewProperties": true,
"maxReviewResults": 500
}
```
### Example - Keyword Search
```json
{
"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
