A versatile tool for programmatically searching Google with AI overviews and scraping detailed Amazon product and market data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pangolinfo-scrape
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install pangolinfo-scrape using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Pangolin SERP & Scrape?
Pangolin SERP & Scrape is a specialized skill designed to bridge the gap between AI agents and real-time web data. By leveraging Pangolin APIs, this Openclaw Skills contribution enables developers to perform standard Google searches, extract sophisticated AI-generated summaries, and conduct deep multi-turn dialogues with search engines. Beyond general search, it provides a robust engine for scraping Amazon, allowing for precise extraction of product details, keyword rankings, and category leaderboards.
This skill is essential for building data-driven applications that require high-fidelity search results or e-commerce intelligence. Whether you are automating market research or feeding an AI agent with the latest web context, Pangolin SERP & Scrape offers a structured, JSON-based interface to complex web data, making it a cornerstone for advanced Openclaw Skills workflows.
Pangolin SERP & Scrape Use Cases
- Gathering real-time AI-generated overviews for complex informational queries.
- Automating e-commerce market research by scraping Amazon product prices and ratings.
- Performing multi-turn search dialogues to refine information retrieval for AI agents.
- Capturing SERP screenshots for visual verification of search rankings.
- Tracking Amazon keyword performance and best-seller rankings programmatically.
How Pangolin SERP & Scrape Works
- The skill authenticates with Pangolin using environment variables or cached tokens.
- It processes the user query or URL and selects the appropriate API mode (AI Search, SERP, or Amazon).
- The script constructs a specialized request, handling retries and backoff logic automatically.
- Data is fetched from Pangolin's high-speed parsers and transformed into structured JSON.
- The final output, including AI overviews or product schemas, is delivered for further processing within Openclaw Skills.
Pangolin SERP & Scrape Setup
To integrate this into your environment, ensure you have Python 3.6+ installed. Configure your credentials as environment variables:
export PANGOLIN_EMAIL='your_email'
export PANGOLIN_PASSWORD='your_password'
# OR
export PANGOLIN_TOKEN='your_bearer_token'
Run the script to verify authentication:
python3 scripts/pangolin.py --auth-only
Pangolin SERP & Scrape Data Schema & Taxonomy
The skill returns structured JSON responses. Google searches provide organic results and AI overviews, while Amazon scrapes provide detailed product objects.
| Source | Key Fields |
|---|---|
| Google (AI/SERP) | ai_overview, organic_results, screenshot_url, task_id |
| Amazon | product (asin, title, price, star, rating), results_count |
Example Amazon structure:
product: Nested object containing item specifics.success: Boolean status of the API request.
Pangolin SERP & Scrape Advanced Features
- Multi-turn search dialogue support using the follow-up flag for iterative research.
- Multiple Amazon parser types including amzBestSellers, amzKeyword, and amzNewReleases.
- Automated screenshot capture of Google SERP for visual SEO analysis.
- Support for custom zip codes to extract localized Amazon pricing and availability.
- Flexible output formats including JSON, raw HTML, and Markdown for various Openclaw Skills integration needs.
SKILL.md
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