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apify-ecommerce

Extract product data, prices, reviews, and seller information from any e-commerce platform using Apify's E-commerce Scraping Tool.

Install / Use

npx skills add Satya136-dvsn/dev-tools --skill apify-ecommerce

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

69/100

Supported Platforms

Universal

Our assessment of apify-ecommerce

apify-ecommerce scores 69/100 on our quality scale, 3877th of 4,637 Development & Engineering skills we index.

Its SKILL.md is 9.0 KB long, well organised into 32 sections with 11 code examples: a thorough specification that gives an agent plenty to work with.

It has no GitHub stars yet, so there is no community track record; judge it on its content.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
0/20
Freshness
5/15

Maintenance, license and trust

  • We could not determine when the repository was last updated.
  • Our last check on 2026-09-27 found the source still online.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

apify-ecommerce compared with similar skills

All 4 of these similar skills score higher than apify-ecommerce; compare them before choosing.

SkillScoreStarsUpdatedFormat
apify-ecommerce (this skill)by Satya136-dvsn690—SKILL.md
Agent-Reachby Panniantong10090.1k18d agoCLAUDE.md
headroomby headroomlabs-ai10074.4ktodayCLAUDE.md
ai-job-searchby MadsLorentzen10044.9ktodayCLAUDE.md
claude-howtoby luongnv8910041.7k3d agoCLAUDE.md

Frequently asked questions

How do I install apify-ecommerce?
Run npx skills add Satya136-dvsn/dev-tools --skill apify-ecommerce. The install tabs above show the steps for each supported agent.
Which AI agents does apify-ecommerce work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is apify-ecommerce safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is apify-ecommerce still maintained?
We could not determine when the repository was last updated.

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 |

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 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

{
  "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 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

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 |

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Related Skills

View on GitHub
GitHub Stars0
CategoryDevelopment
UpdatedNaNy ago
Forks0

Trust signals

68/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

2 medium1 low