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Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories
作者
Pangolinfo
· GitHub ↗
· v2.0.3
· MIT-0
349
总下载
4
收藏
2
当前安装
9
版本数
在 OpenClaw 中安装
/install pangolinfo-amazon-scraper
功能描述
Scrape Amazon as JSON — products, keywords, reviews, BSR. 13 regions. Anti-bot. 60 free credits. Claude Code, Cursor, LangChain.
安全使用建议
This skill is coherent for its stated purpose (calling Pangolinfo's Amazon-scrape API). Before installing: (1) Verify you trust pangolinfo.com and its scrapeapi domain because the script will send requests there and your API key grants ongoing access. (2) Prefer using a dedicated API key (PANGOLINFO_API_KEY) and avoid exporting long-lived credentials globally; remember the key is permanent per the docs. (3) Only enable the cache option if you accept a key being written to ~/.pangolinfo_api_key; otherwise keep CACHE_TO_DISK off and keep env vars ephemeral. (4) If you must use email+password, be aware those env vars are sensitive and could be exposed in shell history or process listings — consider temporarily setting them or using the API key flow instead. (5) Note the minor metadata mismatch (primaryEnv listed in SKILL.md but registry shows none) — it's likely a documentation issue but you can confirm which credential the platform treats as primary. (6) Run the provided self-test with RUN_LIVE_TESTS unset (default) to avoid consuming credits; enable live tests only after you have a key and understand credit costs.
功能分析
Type: OpenClaw Skill
Name: pangolinfo-amazon-scraper
Version: 2.0.3
The skill is a legitimate Amazon scraper client for the Pangolinfo API. It facilitates data retrieval for products, reviews, and rankings by interfacing with official endpoints at scrapeapi.pangolinfo.com. The Python script (scripts/pangolinfo.py) follows standard security practices, such as using 0600 permissions for its local credential cache (~/.pangolinfo_api_key) and relying on standard libraries for network communication. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力标签
能力评估
Purpose & Capability
Name/description, the included Python client, and the required environment variables all align: the skill calls Pangolinfo's scrape API (scrapeapi.pangolinfo.com) and needs an API key or email+password to obtain one. The required binary (python3) is appropriate. One small metadata inconsistency: the registry header lists 'Primary credential: none' while the SKILL.md metadata sets primaryEnv: PANGOLINFO_API_KEY — this appears to be a documentation/metadata mismatch but does not change the runtime behavior.
Instruction Scope
SKILL.md instructs the agent to require credentials before attempting API calls and to run the bundled pangolinfo.py script. The instructions do not ask the agent to read unrelated system files or exfiltrate data to unexpected endpoints — network calls go to Pangolinfo domains. The agent guidance to stop if no API key is present is explicit and constrained.
Install Mechanism
There is no install spec and the skill is instruction-only with a zero-dependency Python script. No third-party packages are downloaded during install. This is the lowest-risk install model.
Credentials
The skill requests only Pangolinfo-specific credentials (PANGOLINFO_API_KEY or PANGOLINFO_EMAIL + PANGOLINFO_PASSWORD), which are proportionate to the scraping API. Notes of caution: the API key is documented as permanent (does not expire), increasing the risk if it is leaked; the script optionally caches the key to ~/.pangolinfo_api_key (user opt-in), and accepting email+password as env vars means those sensitive values could be exposed if set carelessly. These behaviors are explainable by the service model but deserve user attention.
Persistence & Privilege
always:false and agent-autonomy defaults are normal. The script can persist the API key to a file in the user's home directory (~/.pangolinfo_api_key) when caching is enabled; by default caching is disabled, but the capability exists and the API tokens are permanent. The skill does not modify other skills or system-wide settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install pangolinfo-amazon-scraper - 安装完成后，直接呼叫该 Skill 的名称或使用
/pangolinfo-amazon-scraper触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v2.0.3
**Streamlined onboarding and skill instructions for faster user success.**
- Rewrote the documentation for faster "first win": clearer prompts, shorter quick-start, and simplified step-by-step setup.
- Updated agent instructions for API key setup to be more concise and unambiguous.
- Moved detailed feature lists and examples below a practical getting-started section.
- All original capabilities, error handling, and marketplace support remain unchanged.
- No code changes; SKILL.md only.
v2.0.2
**Major update with a simplified description, improved onboarding, and clearer agent instructions.**
- Shortened the description for clarity; highlighted JSON extraction, 13 Amazon regions, anti-bot, and 60 free credits.
- Added a license field and clarified Python/CLI dependencies.
- Expanded API onboarding instructions for agents, ensuring proper credential flow and first-time user guidance.
- Detailed supported marketplaces and all 9 API parsers, including credits required per operation.
- Provided sample outputs (success and errors) and explicit error handling rules for agents.
- Added concise usage recipes and improved prompt suggestions.
- Markedly restructured and condensed all documentation for easier agent and user integration.
v2.0.1
- Updated authentication environment variables to use PANGOLINFO_API_KEY (previously PANGOLIN_TOKEN).
- Corrected documentation and usage instructions to match new environment variable names.
- No functional changes to the code; documentation now reflects accurate authentication requirements.
v2.0.0
**Major update: new script, renamed auth, and revised documentation.**
- Replaced `scripts/pangolin.py` with `scripts/pangolinfo.py` for consistency with project naming.
- Updated required environment variables to use `PANGOLINFO_API_KEY`, `PANGOLINFO_EMAIL`, and `PANGOLINFO_PASSWORD` (was `PANGOLIN_*`).
- SKILL.md fully rewritten: new instructions, CLI usage, agent integration guidance, and multilingual support.
- Improved agent error-handling instructions and clarified when to use the skill.
- Added multi-language support and user-story-driven documentation.
- Tags, homepage link, and metadata expanded for broader ecosystem compatibility.
v1.0.5
- Major documentation overhaul for clarity and conciseness.
- Removed outdated reference files and example outputs.
- Added `references/setup-guide.md` to streamline first-time setup instructions.
- Improved intent-to-command mapping and CLI usage examples.
- Updated prerequisites and environment variable requirements for authentication.
- Documentation now focuses on practical usage and omits detailed internal error code mappings.
v1.0.4
No user-facing changes in this version.
- No file changes detected compared to the previous release.
- Behavior and documentation remain the same as v1.0.3.
v1.0.3
Summary: Improved authentication & onboarding docs, expanded examples and schema references for Amazon scraping workflows.
• Added/clarified first-time setup flow: supports PANGOLIN_API_KEY or email/password login with API key caching at ~/.pangolin_api_key.
• Expanded documentation for common Amazon intents: ASIN product detail, keyword search, bestsellers/new releases, category browsing, seller products, reviews, and multi-region comparisons.
• Added/updated reference docs: Amazon API notes, output schema,
error codes, plus JSON examples.
• Added scripts/self_test.sh to quickly sanity-check auth and basic requests.
v1.0.2
- Major update: Enhanced documentation, setup, and usage workflow for easier onboarding and authentication.
- New, detailed SKILL.md with interactive first-time setup guide, including step-by-step onboarding in English and Chinese, and secure credential handling.
- Now supports API key caching—users only need to authenticate once, no repetitive environment variable setup.
- Updated script entry point: replaced scripts/pangolinfo.py with scripts/pangolin.py.
- Added example references and output schema documentation for clearer guidance and improved developer experience.
v1.0.0
Initial release of pangolinfo-amazon-scraper.
- Enables programmatic Amazon scraping via Pangolinfo APIs.
- Supports structured data retrieval (JSON) for products, searches, categories, sellers, and best sellers.
- Requires authentication using PANGOLIN_TOKEN or PANGOLIN_EMAIL and PANGOLIN_PASSWORD environment variables.
- Includes CLI usage examples and supports multiple parsing modes and output formats.
- Compatible with Python 3.6+ on Darwin and Linux.
元数据
常见问题
Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories 是什么？
Scrape Amazon as JSON — products, keywords, reviews, BSR. 13 regions. Anti-bot. 60 free credits. Claude Code, Cursor, LangChain. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 349 次。
如何安装 Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pangolinfo-amazon-scraper」即可一键安装，无需额外配置。
Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories 是免费的吗？
是的，Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories 支持哪些平台？
Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux）。
谁开发了 Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories？
由 Pangolinfo（@pangolinfo）开发并维护，当前版本 v2.0.3。
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