pepper-oil-scraper

爬取花椒油、藤椒油产业链相关数据的专用技能。覆盖市场规模、原料价格、企业财报、 进出口、行业报告、竞争格局等多维度数据源，内置 20+ 重点网站的爬虫适配器。 当用户需要采集花椒/藤椒/调味油/Sichuan Pepper Oil 相关产业数据时触发此技能。 即使用户只说"爬数据""抓取报告""采集价格"，只要上...

This package appears to be a legitimate multi-site Python web scraper for pepper/pepper-oil industry data, but review these before installing: - Install step mismatch: the skill metadata lists an install of kind "node" while the project is Python. Don't rely on the metadata installer — create a Python virtual environment and run the SKILL.md pip install command yourself (pip install requests beautifulsoup4 lxml pandas openpyxl aiohttp fake-useragent). Avoid using --break-system-packages unless you understand its effects. - Inspect config/targets.json before running: it can contain site list, proxy settings, company lists or HS codes; make sure no private or unexpected endpoints/proxies are configured. - Run in an isolated environment (container or VM) and as a non-root user to limit blast radius in case of mistakes. - Legal/ethical caution: the tool is a crawler. Verify target sites' robots.txt and terms of service and avoid scraping pages that require authentication or are behind paywalls. The code includes anti-anti-crawl techniques (fake-useragent, proxy support, delay/backoff) — be careful and lawful when using them. - Confirm optional dependencies: JS-heavy sites mention playwright — that requires separate installation and can be large; only install if needed. If you want, I can (a) list the exact packages and versions to install in a virtualenv, (b) parse config/targets.json for suspicious proxy/URL entries, or (c) point out any adapters that mention downloading PDFs or interacting with APIs so you can audit those specific behaviors.

Type: OpenClaw Skill Name: pepper-oil-scraper Version: 1.0.0 The pepper-oil-scraper bundle is a comprehensive and well-structured toolset for gathering industry data related to Sichuan pepper oil. It contains 26 specialized adapters in the 'scripts/adapters/' directory for scraping market prices, corporate filings, and government reports from legitimate sources like cninfo.com.cn and forestry.gov.cn. The code follows standard scraping practices, including rate limiting, user-agent rotation, and data standardization, with no evidence of malicious intent, data exfiltration, or prompt injection.