Programmatic scraping + structured JSON for agent workflows.
Website • Documentation • Get API Key
This repository contains two OpenClaw skills maintained by Pangolinfo:
-
Pangolinfo AI SERP
- Path:
./pangolinfo-ai-serp - Purpose: Google SERP + AI overviews, including multi-turn AI mode follow-ups
- Output: structured JSON (optional screenshot URL)
- Docs:
pangolinfo-ai-serp/SKILL.md
- Path:
-
Pangolinfo Amazon Scraper
- Path:
./pangolinfo-amazon-scraper - Purpose: Amazon product / keyword / category / ranking scraping via multiple parsers
- Output: structured JSON
- Docs:
pangolinfo-amazon-scraper/SKILL.md
- Path:
- Real-time data for pipelines and agents
- LLM-ready JSON outputs for OpenClaw workflows
- Automation-friendly CLI examples and references included
- Clear separation by use-case (SERP vs Amazon) for easier maintenance
Note: availability and unblock performance depend on target site behavior and your Pangolinfo plan/credits.
Both skills use Pangolinfo APIs. Configure one of the following:
- Recommended:
PANGOLIN_TOKEN - Alternative:
PANGOLIN_EMAIL+PANGOLIN_PASSWORD
export PANGOLIN_TOKEN="..."
# or
export PANGOLIN_EMAIL="[email protected]"
export PANGOLIN_PASSWORD="..."Each skill includes copy-paste examples in its SKILL.md.
AI SERP example:
python3 pangolinfo-ai-serp/scripts/pangolinfo.py \
--q "openclaw" \
--mode serp \
--screenshotAmazon example:
python3 pangolinfo-amazon-scraper/scripts/pangolinfo.py \
--url "https://www.amazon.com/dp/B00EXAMPLE00" \
--parser amzProductDetailIssues and PRs are welcome. Please include reproducible inputs and expected output fields.
MIT © Pangolinfo