Notion Database Batch Replace

一款专为 Notion 用户打造的深度替换工具

You will need to install an extension such as Tampermonkey, Greasemonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey to install this script.

You will need to install an extension such as Tampermonkey or Violentmonkey to install this script.

You will need to install an extension such as Tampermonkey or Userscripts to install this script.

You will need to install an extension such as Tampermonkey to install this script.

You will need to install a user script manager extension to install this script.

(I already have a user script manager, let me install it!)

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install an extension such as Stylus to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

You will need to install a user style manager extension to install this style.

(I already have a user style manager, let me install it!)

Author
DSTBP
Daily installs
0
Total installs
2
Ratings
0 0 0
Version
1.0.1
Created
2026-01-04
Updated
2026-01-05
Size
12.1 KB
License
MIT
Applies to

[NDBR] Notion 数据库批量替换工具 (Z-Scan Edition)

NDBR (Notion Database Batch Replace) 是一款专为 Notion 用户打造的深度替换工具。它突破了 Notion 虚拟列表的限制,通过自动化的 Z 字形扫描逻辑,确保您的替换操作覆盖到数据库的每一个角落。

🚀 核心特性

  • Z 字形自动扫描:自动执行“横向遍历列 $\rightarrow$ 纵向翻页”逻辑,全库替换无死角。
  • 精准单元格穿透:修复了 Notion 常见的“选中整行”问题,直接定位至单元格编辑器内部。
  • 防快捷键劫持:在脚本 UI 内可自由使用 Ctrl+A (全选) / Ctrl+V (粘贴),不受 Notion 原生快捷键干扰。
  • 动态交互 UI
    • 可拖拽面板:随心所欲调整工具位置。
    • 一键收缩:点击右上角 $\times$ 即可收缩为精美的悬浮图标,且图标同样支持自由拖拽。
  • 安全可控:支持键盘 ESC 键紧急停止。

📖 使用说明

  1. 打开数据库:进入您需要修改的 Notion 表格视图。
  2. 配置内容:输入“查找内容”与“替换为”的内容。
  3. 开始任务:点击“开始自动替换”,脚本将接管滚动条开始作业。
  4. 注意事项
    • 替换期间请保持浏览器窗口在前台。
    • 建议在执行大规模替换前先备份页面或复制数据库。

🔗 相关链接


⚖️ 免责声明

本工具仅供学习与办公效率提升使用。使用脚本产生的任何数据变更后果由用户自行承担,建议在正式操作前于测试数据上充分验证。