apify-ecommerce
Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.
Skill by sickn33
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sickn33-apify-ecommerce
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/apify-ecommerce
What's inside
- Skill name
apify-ecommerce- Description
- Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.
- License
- MIT
- Instructions
- 272 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (3)
- SKILL.md
- package.json · reference/scripts/
- run_actor.js · reference/scripts/
SKILL.md (first lines)
# 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 |
## 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
```json
{
"detailsUrls": [
{"url": "https://www.amazon.com/dp/B09V3KXJPB"},
{"url": "https://www.walmart.com/ip/123456789"}
],
"additionalProperties": true
}
```
### Example - Keyword Search
```json
{
"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:**
```json
{
"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
| 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
```jsonFrom sickn33/agentic-awesome-skills, MIT.
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Signals
- Stars
- 48,428
- Forks
- 7,039
- Open issues
- 0
- Last commit (this folder)
- Oct 24, 2026 (4 days ago)
- Last release
- Oct 24, 2026 (4 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Website
- aaskills.tech/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
apify-ecommerce skill. Agent Mart. https://agentmart.dev/skills/sickn33-apify-ecommerce (last updated 2026-10-24)