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Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories
by
Pangolinfo
· GitHub ↗
· v2.0.3
· MIT-0
349
Downloads
4
Stars
2
Active Installs
9
Versions
Install in OpenClaw
/install pangolinfo-amazon-scraper
Description
Scrape Amazon as JSON — products, keywords, reviews, BSR. 13 regions. Anti-bot. 60 free credits. Claude Code, Cursor, LangChain.
Usage Guidance
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.
Capability Analysis
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.
Capability Tags
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pangolinfo-amazon-scraper - After installation, invoke the skill by name or use
/pangolinfo-amazon-scraper - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories?
Scrape Amazon as JSON — products, keywords, reviews, BSR. 13 regions. Anti-bot. 60 free credits. Claude Code, Cursor, LangChain. It is an AI Agent Skill for Claude Code / OpenClaw, with 349 downloads so far.
How do I install Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories?
Run "/install pangolinfo-amazon-scraper" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories free?
Yes, Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories support?
Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux).
Who created Pangolinfo Amazon Scraper: Products + Keywords + Reviews + Categories?
It is built and maintained by Pangolinfo (@pangolinfo); the current version is v2.0.3.
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