amazon-scraper
High-performance containerized web scraper (Docker + Crawlee + Playwright). Use when user mentions any of these: 爬虫, 爬取, 抓取, 采集, 数据采集, 爬数据, 抓数据, 获取数据, scrape, crawl, extract, fetch data, pull data, 亚马逊, Amazon, ASIN, BSR, Best Sellers, 畅销榜, 热销榜, 新品榜, 飙升榜, 排行榜, 选品, 竞品分析, 竞品调研, 市场调研, 品类分析, 类目分析, 产品调研, 月销量, bought in past month, 销量, 评论数, 价格对比, YouTube, 视频字幕, 转录, transcript, 网页内容, 网站数据, 页面抓取, 动态页面, TikTok, Twitter, X, 社交媒体数据, 帖子内容, 关键词搜索, 搜索结果, search results, 产品详情, 产品信息, listing数据, listing分析, top 100, top sellers, 热门产品, 爆款, 跑量款, 价格带, 评分分布, review分析, 评论分析
Why use this skill?
High-performance containerized scraper for Amazon, YouTube, and dynamic websites. Automate market research, product analysis, and data gathering easily.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/jiafar/amazon-scraperWhat This Skill Does
The amazon-scraper is a robust, Docker-containerized data extraction engine designed for OpenClaw. It integrates Playwright and Crawlee to perform high-performance web scraping across diverse platforms. It automatically switches between specialized handling modes for Amazon (Product/BSR/Search), YouTube (transcripts), and general web content (text extraction), providing a seamless experience for competitive analysis, market research, and data aggregation.
Installation
To integrate this skill into your OpenClaw environment, execute the following command in your terminal:
clawhub install openclaw/skills/skills/jiafar/amazon-scraper
Ensure you have Docker Desktop or the Docker Engine installed and running on your host machine, as the skill operates via containerized instances for maximum stability and anti-detection capabilities.
Use Cases
- E-commerce Intelligence: Automate the collection of ASIN, price points, customer ratings, and monthly sales volume (bought in past month) to identify top-performing products.
- Market Analysis: Monitor competitors by tracking BSR (Best Sellers Rank) and category trends within Amazon to refine your pricing and product listing strategy.
- Content Creation: Extract full video transcripts from YouTube links for use in AI-driven summarization, blog post generation, or metadata enrichment.
- Dynamic Web Scraping: Fetch clean, text-based content from complex, JavaScript-heavy websites that would otherwise be inaccessible to static scrapers.
Example Prompts
- "Check the current Best Sellers in electronics on Amazon and give me a summary of the top 5 products, including their prices and reviews."
- "Extract the full transcript from this YouTube video: https://youtube.com/watch?v=example-id so I can write a summary for it."
- "Search for 'ergonomic office chair' on Amazon. Tell me the top 10 results, specifically highlighting which ones have high 'bought in past month' figures."
Tips & Limitations
- Data Nuance: Always remember that Amazon Best Sellers pages do not include 'bought in past month' data. For sales volume insights, prioritize search result URLs or individual product detail pages.
- Anti-Scraping: The skill uses containerized browser automation. For large-scale data collection, consider adding a delay between requests to avoid potential IP rate-limiting.
- Content Limit: The generic scraper mode truncates output to 10,000 characters to ensure optimal performance; for extremely long documents, consider breaking the task into multiple segments.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-jiafar-amazon-scraper": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, code-execution, data-collection
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