Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories

SKILL研究检索
研究检索 未标注权限 许可证不明确
安装这个技能

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一句话选型结论

按资料字段整理

Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories是研究检索类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类研究检索 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_1d48310f/pangolinfo-amazon-scraper
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

研究检索
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_1d48310f仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791673695
正文体量10.2 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
查资料并整理出处

让模型按主题查资料,并把引用来源整理成清单。

网页与文献要点提炼

把长文、论文、网页压成能直接看的要点。

竞品与行业汇总

按关键词汇总竞品动态与行业信息。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在研究检索场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories当前 未标注权限 未标注 未标注 未标注 有
寻找技能 浏览器控制 GitHub 仓库 3120.0 万 Codex、Claude、Cursor 有
自我改进 Agent 接触敏感数据 ClawHub 市场 1646.4 万 OpenClaw 有
灵魂追踪 联网访问 GitHub 仓库 758.9 万 Codex、Claude、Cursor 有
自我完善 联网访问 ClawHub 市场 682.9 万 OpenClaw 有
微软代工厂 调用外部服务 GitHub 仓库 661.4 万 Codex、Claude、Cursor 有

SKILL.md 全文

10.2 KB
模型实际读到的说明书原文,来自技能仓库

Pangolinfo Amazon Scraper

Scrape Amazon product data via Pangolin's APIs. Returns parsed JSON with product details, search results, rankings, reviews, and more across 13 Amazon regions.

When to Use This Skill

Intent (EN) Intent (CN) Action
Look up an Amazon product / ASIN 查一下亚马逊上的这个商品 Product detail
Search Amazon for a keyword 在亚马逊搜索关键词 Keyword search
Show bestsellers in a category 看看某个类目的畅销榜 Bestsellers
Show new releases 看看最新上架的商品 New releases
Browse a category on Amazon 浏览亚马逊某个分类 Category products
Find products from a seller 查看某个卖家的商品 Seller products
Get reviews for a product 看看这个产品的评论 Reviews
Compare prices across regions 对比不同国家亚马逊的价格 Multi-region
Check seller/variant options 查看其他卖家选项 / 变体 Follow seller / Variant

Do not use for Google search, SERP, or non-Amazon data -- those require a different skill.

Prerequisites

  • Python 3.8+ (stdlib only, no pip install needed)
  • Pangolin account at pangolinfo.com
  • Environment variables: PANGOLIN_API_KEY (recommended) OR PANGOLIN_EMAIL + PANGOLIN_PASSWORD

macOS SSL error? Run: /Applications/Python\ 3.x/Install\ Certificates.command

Script Execution

python3 scripts/pangolin.py --content B0DYTF8L2W --mode amazon --site amz_us

Intent-to-Command Mapping

1. Product Detail by ASIN

python3 scripts/pangolin.py --asin B0DYTF8L2W --site amz_us

--asin auto-uppercases and selects amzProductDetail.

2. Keyword Search

python3 scripts/pangolin.py --q "wireless mouse" --site amz_us

Non-ASIN text auto-selects amzKeyword.

3. Bestsellers

python3 scripts/pangolin.py --content "electronics" --parser amzBestSellers --site amz_us

4. New Releases

python3 scripts/pangolin.py --content "toys" --parser amzNewReleases --site amz_us

5. Category Products

python3 scripts/pangolin.py --content "172282" --parser amzProductOfCategory --site amz_us

6. Seller Products

python3 scripts/pangolin.py --content "A1B2C3D4E5" --parser amzProductOfSeller --site amz_us

7. Follow Seller (Other Seller Options)

python3 scripts/pangolin.py --asin B0G4QPYK4Z --parser amzFollowSeller --site amz_us

8. Variant ASIN (Product Variants)

python3 scripts/pangolin.py --asin B0G4QPYK4Z --parser amzVariantAsin --site amz_us

9. Product Reviews

python3 scripts/pangolin.py --content B00163U4LK --mode review --site amz_us --filter-star critical

Star filter mapping:

User says --filter-star
all reviews / 所有评论 all_stars
5-star / 五星 five_star
4-star / 四星 four_star
3-star / 三星 three_star
2-star / 两星 two_star
1-star / 一星 one_star
positive / 好评 positive
critical / 差评 critical

Sort: --sort-by recent (default) or --sort-by helpful

Multiple pages: --pages N (each page costs 5 credits)

10. Product by URL (Legacy)

python3 scripts/pangolin.py --url "https://www.amazon.com/dp/B0DYTF8L2W" --mode amazon

Site code auto-inferred from URL domain.

Smart Defaults

  1. ASIN detection -- 10-char codes starting with B0 auto-select amzProductDetail
  2. Keyword detection -- non-ASIN text auto-selects amzKeyword
  3. Defaults to amz_us if no --site provided
  4. Auto-switches to review mode if --filter-star is set or --parser amzReviewV2
  5. Site inferred from URL when using --url
  6. Parser auto-inference only runs when --parser is not specified -- explicit --parser is never overridden

All CLI Options

Flag Description Default
--q Search query or keyword --
--url Target Amazon URL (legacy) --
--content Content ID: ASIN, keyword, category Node ID, seller ID --
--asin ASIN shortcut (auto-uppercases) --
--site / --region Amazon site/region code amz_us
--mode amazon or review amazon
--parser Parser name (auto-inferred if omitted) auto
--zipcode US zipcode for localized pricing 10041
--format json, rawHtml, markdown json
--filter-star Star filter for reviews all_stars
--sort-by Review sort: recent or helpful recent
--pages Review pages (5 credits/page) 1
--auth-only Auth check only (no credits) --
--raw Output raw API response --
--timeout Timeout in seconds 120
--cache-key Persist API key to ~/.pangolin_api_key off

Amazon Parsers

Parser Use Case Content Value Endpoint
amzProductDetail Single product page ASIN /api/v1/scrape
amzKeyword Keyword search results Keyword /api/v1/scrape
amzProductOfCategory Category listing Node ID /api/v1/scrape
amzProductOfSeller Seller's products Seller ID /api/v1/scrape
amzBestSellers Best sellers ranking Category keyword /api/v1/scrape
amzNewReleases New releases ranking Category keyword /api/v1/scrape
amzFollowSeller Other sellers ASIN /api/v1/scrape/follow-seller
amzVariantAsin Product variants ASIN /api/v1/scrape/variant-asin
amzReviewV2 Product reviews ASIN (via --mode review) /api/v1/scrape

Amazon Sites

Code Region Domain
amz_us United States amazon.com
amz_uk United Kingdom amazon.co.uk
amz_ca Canada amazon.ca
amz_de Germany amazon.de
amz_fr France amazon.fr
amz_jp Japan amazon.co.jp
amz_it Italy amazon.it
amz_es Spain amazon.es
amz_au Australia amazon.com.au
amz_mx Mexico amazon.com.mx
amz_sa Saudi Arabia amazon.sa
amz_ae UAE amazon.ae
amz_br Brazil amazon.com.br

Cost

Operation Credits
Amazon scrape (json) 1
Amazon scrape (rawHtml / markdown) 0.75
Follow Seller 1
Variant ASIN 1
Review page 5 per page

Credits consumed on success only (API code 0). Auth checks are free.

Output Format

JSON to stdout on success, error JSON to stderr on failure.

Success

{
  "success": true,
  "task_id": "02b3e90810f0450ca6d41244d6009d0f",
  "url": "https://www.amazon.com/dp/B0DYTF8L2W",
  "metadata": {
    "executionTime": 1791,
    "parserType": "amzProductDetail",
    "parsedAt": "2026-01-13T06:42:01.861Z"
  },
  "results": [ ... ],
  "results_count": 1
}

Error (stderr)

{
  "success": false,
  "error": {
    "code": "API_ERROR",
    "api_code": 2001,
    "message": "Insufficient credits",
    "hint": "Top up at pangolinfo.com."
  }
}

Response Presentation

Match the user's language. Never dump raw JSON.

  • Product Detail: structured card with title, price, rating, features, rank
  • Keyword Search: numbered list with title, price, rating
  • Bestsellers/New Releases: ranked list emphasizing position
  • Follow Seller / Variant: option comparison table
  • Reviews: summary + top 3-5 reviews + pattern analysis
  • Empty results: suggest checking ASIN spelling, trying another region, broadening search

Exit Codes

Code Meaning
0 Success
1 API error
2 Usage error (bad arguments)
3 Network error
4 Authentication error

Error Reference

Script Error Codes

Code Meaning Resolution
MISSING_ENV No credentials Set env vars
AUTH_FAILED Wrong credentials Verify email/password
RATE_LIMIT Too many requests Wait and retry
NETWORK Connection issue Check internet
SSL_CERT Certificate error See macOS SSL fix
API_ERROR Pangolin API error Check api_code and hint
PARSE_ERROR Invalid API response Retry
USAGE_ERROR Bad arguments Fix CLI args

Pangolin API Error Codes

Code Meaning Resolution
1004 Invalid token Auto-retried by script
1009 Invalid parser name Check --parser value
2001 Insufficient credits Top up at pangolinfo.com
2005 No active plan Subscribe at pangolinfo.com
2007 Account expired Renew at pangolinfo.com
2009 Usage limit reached Wait for next billing cycle
4029 Rate limited Reduce request frequency
10000/10001 Task failed Retry

First-Time Setup

See references/setup-guide.md for interactive setup instructions.

Quick start:

export PANGOLIN_API_KEY="your-api-key"
python3 scripts/pangolin.py --auth-only

Important Notes for AI Agents

  1. Never dump raw JSON. Parse and present per the Response Presentation guidelines.
  2. Match the user's language.
  3. Be proactive. Highlight best matches, summarize review patterns, flag out-of-stock.
  4. Handle multi-step requests. E.g., "compare US vs JP price" = two queries + comparison table.
  5. Credit awareness. Warn before multi-page reviews (5 credits/page).
  6. ASIN detection. 10-char codes starting with B0 are almost always ASINs -- auto-detect.
  7. Default to amz_us unless context implies another region.
  8. Security. Never expose API keys or passwords.
  9. Use --parser explicitly for category, seller, bestsellers, new releases, follow-seller, variant-asin. Auto-inference only works for ASIN vs keyword.
  10. Combine results. "Find a good mouse under $30 with good reviews" = keyword search + review fetch for top candidates.

Output Schema

See references/output-schema.md for per-parser field documentation.

常见问题

5 问
答案由本站依据条目字段整理
Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_1d48310f/pangolinfo-amazon-scraper。安装方式为未标注。装完刷新技能列表或重开客户端。

Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。