pangolinfo-amazon-scraperUse when: 用户要"抓 Amazon 商品/ASIN 详情" / "搜某关键词的商品列表" / "拉某类目/某卖家的在售品" / "Best Sellers / New Releases 榜单" / "批量抓评论做 VOC" / "scrape this ASIN" / "get reviews for B0XXX" / "search Amazon for X" / "category bestsellers". Covers: 通过 MCP tool 程序化抓取 Amazon 全域数据 —— ASIN 详情、关键词 SERP、类目在售品、卖家店铺、Best Sellers、New
Install via ClawdBot CLI:
clawdbot install pangolinfo/pangolinfo-amazon-scraperGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://scrapeapi.pangolinfo.com/api/v1/scrapeCalls external URL not in known-safe list
https://www.pangolinfo.comAI Analysis
The skill's external API calls (pangolinfo.com, scrapeapi.pangolinfo.com) are consistent with its stated purpose of scraping Amazon data via Pangolin's service. While it sends user queries to an external endpoint, this is documented functionality requiring explicit user credentials, not covert exfiltration. No hidden instructions, credential harvesting, or obfuscation were found in the provided snippet.
Audited Apr 17, 2026 · audit v1.0
Generated May 7, 2026
E-commerce businesses can use this skill to automatically track product prices across multiple Amazon regions. By comparing prices on amz_us, amz_uk, amz_de, etc., companies can adjust their pricing strategies in real-time to stay competitive.
Dropshippers can search Amazon by keywords like "wireless earbuds" to identify trending products, view bestseller rankings, and check customer reviews for quality assessment. This helps in selecting profitable items to list in their own stores.
Brand owners can input their ASINs to retrieve detailed product info, including sales rank, and then use the follow-seller feature to check for unauthorized sellers or price undercutting. The skill returns JSON with seller data for enforcement actions.
Businesses launching new products can scrape Amazon's new releases and bestseller lists in specific categories (e.g., Electronics) to understand demand, average pricing, and review sentiment. This data informs product features and launch timing.
Using the product reviews endpoint, companies can collect thousands of customer reviews for their own or competitors' products. The structured JSON output allows feeding into sentiment analysis tools to identify product strengths and weaknesses.
Integrate this scraper into a platform that offers Amazon product data as a service. Charge subscription fees for access to real-time pricing, reviews, and keyword search data, aggregated across regions.
Build a SaaS that monitors competitor prices using this skill and automatically adjusts the user's own prices on Amazon or other channels. The skill provides the raw data; the repricing logic is added on top.
Offer consulting services where you use the skill to audit a client's Amazon presence, compare with competitors, and provide actionable insights (e.g., keyword gaps, pricing opportunities). Package as a one-time report or ongoing monitoring.
💬 Integration Tip
The script has zero external dependencies (standard library only), so integration into any Python environment is straightforward. Simply set PANGOLIN_API_KEY as an environment variable or cache it once, then call the script with proper arguments for your use case.
Scored Sep 26, 2026
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按ASIN获取并分析亚马逊商品评论,支持15个站点(含美国站),按星级筛选评论。当用户提到亚马逊评论、美国站评论、商品评价、买家投诉、差评、好评、星级评分、评论分析、评论情感、产品改良建议、Vine评论、已验证购买评论、竞品评论研究、Amazon reviews, US reviews, Amazon.com r...