Scrapes and analyzes Bilibili video data to generate comprehensive statistical reports and trend insights.
This skill empowers Claude to perform deep-dive analysis on Bilibili content by automating the search, scraping, and processing of video metadata. It captures essential metrics such as play counts, comments, and upload dates across multiple search results pages. By utilizing browser automation and integrated Python scripts, it generates detailed reports on author activity, engagement distributions, and temporal trends, making it an essential tool for content creators and marketers looking to understand the Bilibili ecosystem.
Características Principales
01Customizable search-based data collection and JSON exporting
02Detailed statistical reporting including play count and comment distribution
03Temporal trend tracking to identify peak posting periods and engagement
045 GitHub stars
05Automated multi-page video metadata scraping via browser automation
06Analysis of author activity and top-performing content rankings
Casos de Uso
01Automated data collection for social media marketing campaign reports
02Market research and trend tracking for specific niche keywords
03Competitor analysis for Bilibili content creators and channel managers
