Pangolinfo AI SERP: AI Mode Output + AI Overviews

The ultimate automated market research tool for e-commerce. Stop manual product hunting and bypass CAPTCHAs. Perfect for LangChain, AutoGen, OpenDevin, and O...

Security Scan

The skill's requests and included code align with its stated purpose (using Pangolinfo's API to scrape Amazon data); required credentials and network calls are proportional and expected.

Purpose & Capability

Name/description promise (Amazon scraping, bypassing bot-detection) matches the code and SKILL.md: the Python client posts to scrapeapi.pangolinfo.com endpoints and exposes parsers for product, keyword, reviews, bestsellers, etc. Required env vars (API key or email+password) are appropriate for authenticating to the Pangolinfo service.

Instruction Scope

SKILL.md instructs the agent to set PANGOLINFO_API_KEY or PANGOLINFO_EMAIL/PANGOLINFO_PASSWORD and to handle rate limits; instructions do not ask the agent to read unrelated system files or exfiltrate arbitrary data. Self-test script may run live API calls if RUN_LIVE_TESTS=1 and will consume credits; this is documented.

Install Mechanism

No install spec or external downloads are present; the skill ships a zero-dependency Python script and a shell self-test. Nothing is fetched from untrusted URLs or extracted at install time.

Credentials

The skill requires PANGOLINFO_API_KEY or PANGOLINFO_EMAIL + PANGOLINFO_PASSWORD, which is consistent with the service's auth model. Note: supplying an account password in environment variables is sensitive but justified by the option to use email/password login; the SKILL.md recommends the API key as preferred.

Persistence & Privilege

The skill is not always-enabled and does not request elevated platform privileges. The code includes optional API key caching to ~/.pangolinfo_api_key controlled by an internal flag (CACHE_TO_DISK) and the setup guide documents an explicit cache option; it does not modify other skills or global agent configs.

Assessment

This skill appears coherent with its stated purpose, but review and consider these points before installing: prefer setting PANGOLINFO_API_KEY over storing your email/password in environment variables (API key is recommended); be aware the script makes network calls to scrapeapi.pangolinfo.com and using live tests or queries consumes credits; check Pangolinfo's terms/privacy and confirm you are comfortable sharing the API key with the agent; if you enable caching, the client can write an API key to ~/.pangolinfo_api_key (the default code currently leaves disk caching off, but the option exists). If you need higher assurance, inspect the full untruncated pangolinfo.py to verify no other unexpected network endpoints or behaviors are present.

Pangolinfo Amazon Scraper: Product + Keyword + Review + Category

Scrape Amazon programmatically via Pangolinfo APIs.

🌟 Why Use This Skill? (User Stories)

Bypass bot-detection and captchas instantly. Empower your AI with real-time Amazon market intelligence:

• Automated Product Research: Scrape detailed ASIN data, pricing, and inventory.
• Competitor Analysis for FBA: Track daily keyword rankings and BSR movements.
• Voice of Customer (VoC): Extract bulk product reviews for sentiment analysis.

🤖 Compatible Agent Frameworks

• OpenClaw (Direct CLI execution & workflow chaining)
• LangChain / LangGraph / Dify (As an e-commerce scraping tool)

🌐 多语言适配 (Multi-language Support)

• 🇨🇳 中文适用场景: 亚马逊全域数据抓取 API（ASIN详情、关键词排名、类目BSR、评论）。完美适配 AI Agent 自动化分析工作流。
• Agent Directive: Always output the final analysis/report in the language of the user's prompt (e.g., reply in Chinese if asked in Chinese).

Supports product detail pages, keyword search, category listings, seller pages, best sellers, and more.

Prerequisites

• Python 3.6+ (standard library only)
• A Pangolinfo account: https://pangolinfo.com/?referrer=clawhub_amz
• Auth env vars (choose one):
  • PANGOLINFO_API_KEY (recommended)
  • or PANGOLINFO_EMAIL + PANGOLINFO_PASSWORD

export PANGOLINFO_API_KEY="..."
# or
export PANGOLINFO_EMAIL="..."
export PANGOLINFO_PASSWORD="..."

Minimal examples

Product detail:

python3 scripts/pangolinfo.py --url "https://www.amazon.com/dp/B0DYTF8L2W" --parser amzProductDetail

Keyword search:

python3 scripts/pangolinfo.py --q "wireless mouse" --parser amzKeyword

Usage

--q QUERY          Keyword query (builds an Amazon search URL)
--url URL          Target Amazon URL (product/category/seller/etc.)
--parser PARSER    Parser name (default: amzProductDetail)
--zipcode CODE     Zipcode for localized pricing (default: 10041)
--format FMT       json (default) | rawHtml | markdown
--auth-only        Authenticate and show token info
--raw              Output raw API response instead of extracted data

Amazon parsers

• amzProductDetail (default)
• amzKeyword
• amzProductOfCategory
• amzProductOfSeller
• amzBestSellers
• amzNewReleases
• amzFollowSeller

Links

• Homepage: https://pangolinfo.com/?referrer=clawhub_amz

References

• references/amazon-api.md
• references/error-codes.md

🎯 Quick Start Prompts (Copy-Paste)

Try these prompts with your agent to see instant results:

• "Fetch the top 10 bestsellers in the 'Electronics' category on Amazon and format the results as a CSV."
• "Scrape the top 50 reviews for ASIN B08XXXXXXX and summarize the main customer complaints."
• "Search Amazon for 'wireless earbuds', extract the first page results, and list their prices and ratings."

🛑 Boundaries & Error Handling

When NOT to use: Do not use this for non-Amazon platforms (e.g., Shopify, Walmart). Agent Instructions for Errors:

• 401 Unauthorized: The PANGOLINFO_API_KEY is missing or invalid. Prompt the user to set it.
• 429 Rate Limit: The API is rate-limited. The agent MUST yield or sleep for 5 seconds before retrying, instead of failing the task.
• Empty Results: Check if the ASIN or keyword is valid for the target marketplace.