How to Scrape Bilibili in 2026: Downloading Video Data for AI Training

This tutorial provides a comprehensive guide for scraping video data from Bilibili, a major Chinese video platform, to support various use cases, including AI training and market analysis. The process involves using Python and browser automation tools like Playwright to navigate Bilibili’s dynamic interface and collect video metadata such as titles, URLs, and engagement statistics. It further explains how to download videos using yt-dlp, a tool for extracting multimedia content, and discusses the challenges of maintaining a custom scraping solution due to Bilibili’s anti-bot mechanisms. To overcome these challenges, the tutorial suggests using Bright Data’s Bilibili Scraper, which offers a robust infrastructure with automatic anti-bot bypass capabilities and supports large-scale data collection for enterprises. This approach ensures reliable access to vast amounts of video data, which is crucial for training multimodal AI models.