Amazon Scraper

爬取 Amazon 商品数据，支持关键词搜索，提取价格、评分、评论数，生成结构化 Excel 和 Markdown 报告，含品牌与爆款分析。

What to consider before installing: - The skill legitimately needs an Apify API key to run; SKILL.md and the Python file expect APIFY_API_KEY, but the registry metadata does not declare this — confirm you are comfortable providing that key. Do not paste your API key into source files; prefer environment variables. - Review the repository the docs point to (https://github.com/zuokun300/amazon-scraper) before cloning to ensure the code matches the packaged files. The registry shows Source: unknown / no homepage — verify origin. - The included script appears to be executable and calls Apify (https://api.apify.com). This is expected for scraping, but means the skill will send your requests and the scraped data to Apify-managed endpoints; ensure that aligns with your privacy/compliance requirements and Apify account usage/costs. - The python code shows at least one bug/incompleteness (the generate_report function returns unique_products[:max_products] while max_products is undefined in that scope, and the main function appears truncated). Expect runtime errors; test in an isolated environment before running on production data. Consider fixing or validating the code or asking the author for a complete release. - If you plan scheduled runs (cron), run them from an isolated machine or container and monitor network/API calls and account billing. If the publisher updates the registry metadata to explicitly declare APIFY_API_KEY, provides a verified source/homepage, and publishes a complete, tested script (no undefined variables), my confidence the package is internally coherent would increase.

Type: OpenClaw Skill Name: zuokun300-amazon-scraper Version: 1.0.0 The skill is a legitimate Amazon scraper that utilizes the Apify API to fetch product data and generate Excel and Markdown reports. The code in `amazon_scraper.py` follows standard practices, such as retrieving API keys from environment variables and using the official Apify REST API for data collection. No evidence of data exfiltration, unauthorized execution, or malicious prompt injection was found in the documentation or the script logic.