feat(wiki): ingest remaining subdirectories batch (51 files)

- Others: ChinaTextbook, Obsidian笔记系列, YouTube Channel ID, TikTok PM Django
- Skills: GOG CLI, Last30Days, baoyu-skills
- Vibe Coding: Cursor 2.0, Trae远程开发, Vibe-Kanban+OpenCode, vibe coding经验
- 微信公众号: 养虾日记1-5, AI时代赚钱
- 跨境电商: TikTok数据抓取, 选品策略, Superset Dashboard
- AI目录补充: 20个文件

Source pages: 51
Entities: TapXWorld, VibeKanban, OpenCode, Trae, SourceGrounding等
Concepts: 自举Meta生成, 5大设计原则, MD5去重, 混合搜索等

wiki/sources/TikTok数据抓取.md

@@ -0,0 +1,35 @@
+---
+title: "TikTok数据抓取"
+type: source
+tags: []
+date: 2025-12-19
+---
+
+## Source File
+- [[raw/跨境电商/Scrapy + Playwright 抓取TikTok Shop Data.md]]
+
+## Summary
+- 核心主题：Scrapy+Playwright抓取TikTok Shop数据技术指南
+- 问题域：电商数据采集、动态页面抓取
+- 方法/机制：创建venv安装scrapy+scrapy-playwright，playwright install chromium
+- 结论/价值：实现TikTok Shop店铺数据的自动化抓取
+
+## Key Claims
+- 推荐创建虚拟环境(venv)隔离依赖，避免与系统Python冲突
+- scrapy-playwright结合Scrapy和Playwright优势，支持动态页面抓取
+- Docker容器需额外配置venv环境
+
+## Key Concepts
+- [[动态页面抓取]]：Playwright处理JavaScript渲染
+- [[Python虚拟环境]]：venv隔离项目依赖
+
+## Key Entities
+- [[Scrapy]]：Python爬虫框架
+- [[Playwright]]：浏览器自动化工具
+- [[TikTokShop]]：电商平台数据来源
+
+## Connections
+- [[Scrapy]] ← enhanced_by ← [[Playwright]]
+
+## Contradictions
+- 无冲突