Product Pricing Scraper

Extract normalized product pricing data from retail or ecommerce pages using HTML parsing with retry, backoff, and safe defaults.

This skill largely matches its stated purpose and does not request secrets, but review and fix before use: 1) It relies on third-party Python libraries (requests, beautifulsoup4) which are not declared—install them in a controlled environment. 2) The provided scraper.py contains at least one clear bug (it attempts to return an undefined variable near the end) and should be tested and patched before production use. 3) Run it in a sandbox or isolated environment and verify behavior on a small set of non-sensitive pages. 4) Respect target sites' robots/tos and avoid aggressive scraping — the tool includes retry/backoff defaults but you should tune delays. If you expect to run this automatically, add an explicit dependency/install step and fix the code issues; if you lack the ability to audit and patch the script, treat it as untrusted code.

Type: OpenClaw Skill Name: product-pricing-scraper Version: 1.0.0 The skill is a standard product pricing scraper that uses BeautifulSoup and the Requests library to extract structured data from ecommerce websites. It implements legitimate features such as JSON-LD parsing, CSS selector fallbacks, and exponential backoff for handling rate limits. No evidence of data exfiltration, malicious execution, or prompt injection was found in scraper.py or SKILL.md.