What is fastmoss-rpa-skills?

fastmoss-rpa-skills is a collection of automation tools that pull data out of FastMoss, a data analysis platform for TikTok Shop, and turn it into spreadsheet files and written reports. It covers all seven of FastMoss's core sections: products, creators, shops, livestreams, videos and creative assets, an advertising engine, and overall market data. Instead of logging in on its own or working around FastMoss's login system, the tool drives the user's own already logged in Chrome or Edge browser through something called Kimi WebBridge, a connector that lets scripts control a real browser session. This means a person only has to sign into FastMoss once in their normal browser, and every script afterward reuses that same session rather than needing separate credentials, tokens, or captcha solving. Six of the seven modules work by reading data directly out of the web page's HTML tables, and are built to adapt automatically if FastMoss changes its page layout, since they read column headers dynamically rather than relying on fixed positions. The seventh module, covering overall market data, instead calls FastMoss's own JSON data endpoints directly from within the browser page, which the README says is faster and more reliable since it skips waiting for the page to render. Each module is organized as a self contained skill folder containing a documentation file, Python scripts for scraping and analysis, and reference notes. Every ranking script can pull data for multiple countries or product categories in a single run, covering sixteen markets including the United States, Indonesia, Thailand, and Malaysia, and can output both raw CSV files and a combined Markdown analysis report summarizing things like country distribution, category breakdowns, and products that repeat across multiple rankings. Running the tool requires Python 3.8 or newer, a modern Chrome or Edge browser, the Kimi WebBridge daemon and its browser extension installed and running, and an existing FastMoss account, since the depth of data available depends on the account's subscription level. The README states that no Node.js, Selenium, Playwright, Puppeteer, or headless browser software is needed, since the real browser handles all the page rendering itself.