Apify电商数据提取工具 - 抓取产品价格、评论、卖家信息 | 竞品分析利器

apify-ecommerce by apify/agent-skills

3,200 周安装量

1,700 GitHub Stars

GitHub

安装命令

npx skills add https://github.com/apify/agent-skills --skill apify-ecommerce

开发数据分析营销

🇨🇳中文介绍

电商数据提取

使用 Apify 的电商数据抓取工具，从任何电商平台提取产品数据、价格、评论和卖家信息。

前提条件

包含 APIFY_TOKEN 的 .env 文件（位于 ~/.claude/.env）
Node.js 20.6+（以支持原生的 --env-file 参数）

工作流选择

用户需求	工作流	最佳适用场景
追踪价格，比较产品	工作流 1：产品与定价	价格监控、最低广告价格合规、竞品分析。可添加 AI 摘要以获取洞察。
分析评论（情感或质量）	工作流 2：评论	品牌认知、客户情感、质量问题、缺陷模式
跨店铺查找卖家	工作流 3：卖家	未经授权的经销商、通过 Google Shopping 发现供应商

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工作流 1：产品与定价

使用场景： 提取产品数据、价格和库存状态。追踪竞争对手价格、检测最低广告价格违规、产品对标或市场调研。

最佳适用人群： 定价分析师、产品经理、市场研究员。

输入类型	字段	描述
产品 URL	`detailsUrls`	产品页面的直接 URL（使用对象格式）
分类 URL	`listingUrls`	分类/搜索结果页面的 URL
关键词搜索	`keyword` + `marketplaces`	在选定电商平台中搜索关键词

{
  "detailsUrls": [
    {"url": "https://www.amazon.com/dp/B09V3KXJPB"},
    {"url": "https://www.walmart.com/ip/123456789"}
  ],
  "additionalProperties": true
}

示例 - 关键词搜索

{
  "keyword": "Samsung Galaxy S24",
  "marketplaces": ["www.amazon.com", "www.walmart.com"],
  "additionalProperties": true,
  "maxProductResults": 50
}

添加以下字段以获取 AI 生成的洞察：

字段	描述
`fieldsToAnalyze`	要分析的数据点：`["name", "offers", "brand", "description"]`
`customPrompt`	自定义分析指令

包含 AI 摘要的示例：

{
  "keyword": "robot vacuum",
  "marketplaces": ["www.amazon.com"],
  "maxProductResults": 50,
  "additionalProperties": true,
  "fieldsToAnalyze": ["name", "offers", "brand"],
  "customPrompt": "Summarize price range and identify top brands"
}

name - 产品名称
url - 产品 URL
offers.price - 当前价格
offers.priceCurrency - 货币代码（可能因卖家地区而异）
brand.slogan - 品牌名称（嵌套在对象中）
image - 产品图片 URL
当 additionalProperties: true 时，包含额外的卖家/库存信息

注意： 即使针对美国进行搜索，结果中的货币也可能不同，因为价格反映了不同卖家所在的地区。

工作流 2：客户评论

使用场景： 提取评论用于情感分析、品牌认知监控或质量问题检测。

最佳适用人群： 品牌经理、客户体验团队、质量保证团队、产品经理。

输入类型	字段	描述
产品 URL	`reviewListingUrls`	要从中提取评论的产品页面
关键词搜索	`keywordReviews` + `marketplacesReviews`	通过关键词搜索产品评论

示例 - 从产品提取评论

{
  "reviewListingUrls": [
    {"url": "https://www.amazon.com/dp/B09V3KXJPB"}
  ],
  "sortReview": "Most recent",
  "additionalReviewProperties": true,
  "maxReviewResults": 500
}

示例 - 关键词搜索

{
  "keywordReviews": "wireless earbuds",
  "marketplacesReviews": ["www.amazon.com"],
  "sortReview": "Most recent",
  "additionalReviewProperties": true,
  "maxReviewResults": 200
}

Most recent - 最新评论优先（推荐）
Most relevant - 平台默认相关性排序
Most helpful - 投票最高的评论优先
Highest rated - 五星评论优先
Lowest rated - 一星评论优先

注意： sortReview: "Lowest rated" 选项可能无法在所有电商平台中稳定工作。对于质量分析，建议收集大量样本并在后处理中按评分进行筛选。

设置较高的 maxReviewResults 以获得统计显著性
查找重复出现的关键词："坏了"、"缺陷"、"质量"、"退货"
如果排序效果不如预期，按评分筛选结果
与竞争对手产品进行交叉参考以进行对标

工作流 3：卖家情报

使用场景： 跨店铺查找卖家、发现未经授权的经销商、评估供应商选项。

最佳适用人群： 品牌保护团队、采购部门、供应链经理。

注意： 此工作流使用 Google Shopping 来跨店铺查找卖家。直接使用卖家资料 URL 的方式并未得到可靠支持。

{
  "googleShoppingSearchKeyword": "Nike Air Max 90",
  "scrapeSellersFromGoogleShopping": true,
  "countryCode": "us",
  "maxGoogleShoppingSellersPerProduct": 20,
  "maxGoogleShoppingResults": 100
}

字段	描述
`googleShoppingSearchKeyword`	要搜索的产品名称
`scrapeSellersFromGoogleShopping`	设置为 `true` 以提取卖家信息
`scrapeProductsFromGoogleShopping`	设置为 `true` 以同时提取产品详情
`countryCode`	目标国家（例如：`us`、`uk`、`de`）
`maxGoogleShoppingSellersPerProduct`	每个产品的最大卖家数量
`maxGoogleShoppingResults`	总结果数量限制

支持的电商平台

Amazon（20+ 个地区）

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

美国主要零售商

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

IKEA（40+ 种国家/语言组合）

支持所有主要的 IKEA 地区站点，并提供多种语言选项。

用于跨多个店铺发现卖家。

步骤 1：设置技能路径

SKILL_PATH=~/.claude/skills/apify-ecommerce

步骤 2：运行脚本

快速回答（在聊天中显示）：

node --env-file=~/.claude/.env $SKILL_PATH/reference/scripts/run_actor.js \
  --actor "apify/e-commerce-scraping-tool" \
  --input 'JSON_INPUT'

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

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

步骤 3：总结结果

提取的项目数量
文件位置（如果已导出）
基于工作流的关键洞察：
- 产品： 价格范围、异常值、最低广告价格违规
- 评论： 平均评分、情感趋势、质量问题
- 卖家： 卖家数量、发现的未经授权卖家

错误	解决方案
`APIFY_TOKEN not found`	确保 `~/.claude/.env` 包含 `APIFY_TOKEN=your_token`
`Actor not found`	验证 Actor ID：`apify/e-commerce-scraping-tool`
`Run FAILED`	检查错误输出中的 Apify 控制台链接
`Timeout`	减少 `maxProductResults` 或增加 `--timeout`
`No results`	验证 URL 有效且可访问
`Invalid marketplace`	检查 marketplace 值是否与支持的列表完全匹配

🇺🇸English

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

.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`, , )

Supported Marketplaces

Amazon (20+ regions)

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, , , ,

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

Weekly Installs

1.7K

Repository

apify/agent-skills

GitHub Stars

1.4K

First Seen

Feb 3, 2026

Security Audits

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Installed on

opencode1.6K

codex1.6K

gemini-cli1.6K

github-copilot1.5K

kimi-cli1.5K

amp1.5K

Apify电商数据提取工具 - 抓取产品价格、评论、卖家信息 | 竞品分析利器

🇨🇳中文介绍

电商数据提取

前提条件

工作流选择

相关 Skills

进度跟踪

工作流 1：产品与定价

输入选项

示例 - 产品 URL

示例 - 关键词搜索

可选：AI 摘要

输出字段

工作流 2：客户评论

输入选项

示例 - 从产品提取评论

示例 - 关键词搜索

排序选项

质量分析技巧

工作流 3：卖家情报

输入配置

选项

支持的电商平台

Amazon（20+ 个地区）

美国主要零售商

欧洲零售商

IKEA（40+ 种国家/语言组合）

Google Shopping

运行数据提取

步骤 1：设置技能路径

步骤 2：运行脚本

步骤 3：总结结果

错误处理

🇺🇸English

E-commerce Data Extraction

Prerequisites

Workflow Selection

Progress Tracking

Workflow 1: Products & Pricing

Input Options

Example - Product URLs

Example - Keyword Search

Optional: AI Summary

Output Fields

Workflow 2: Customer Reviews

Input Options

Example - Extract Reviews from Product

Example - Keyword Search

Sort Options

Quality Analysis Tips

Workflow 3: Seller Intelligence

Input Configuration

Options

Supported Marketplaces

Amazon (20+ regions)

Major US Retailers

European Retailers

IKEA (40+ country/language combinations)

Google Shopping

Running the Extraction

Step 1: Set Skill Path

Step 2: Run Script

Step 3: Summarize Results

Error Handling