Feishu Docx Exporter

Export Feishu/Lark cloud documents to Markdown format for AI analysis.

Setup (One-time)

pip install feishu-docx
feishu-docx config set --app-id YOUR_APP_ID --app-secret YOUR_APP_SECRET

Token auto-refreshes. No user interaction required.

Export Documents

feishu-docx export "<FEISHU_URL>" -o ./output

The exported Markdown file will be saved with the document's title as filename.

Supported Document Types

• docx: Feishu cloud documents → Markdown with images
• sheet: Spreadsheets → Markdown tables
• bitable: Multidimensional tables → Markdown tables
• wiki: Knowledge base nodes → Auto-resolved and exported

Command Reference

Examples

Export a wiki page

feishu-docx export "https://xxx.feishu.cn/wiki/ABC123" -o ./docs

Export a document with custom filename

feishu-docx export "https://xxx.feishu.cn/docx/XYZ789" -o ./docs -n meeting_notes

Read content directly (recommended for AI Agent)

# Output content to stdout instead of saving to file
feishu-docx export "https://xxx.feishu.cn/wiki/ABC123" --stdout
# or use short flag
feishu-docx export "https://xxx.feishu.cn/wiki/ABC123" -c

Export with Block IDs (for later updates)

# Include block IDs as HTML comments in the Markdown output
feishu-docx export "https://xxx.feishu.cn/wiki/ABC123" --with-block-ids
# or use short flag
feishu-docx export "https://xxx.feishu.cn/wiki/ABC123" -b

Batch Export Entire Wiki Space

# Export all documents in a wiki space (auto-extract space_id from URL)
feishu-docx export-wiki-space "https://xxx.feishu.cn/wiki/ABC123" -o ./wiki_backup

# Specify depth limit
feishu-docx export-wiki-space "https://xxx.feishu.cn/wiki/ABC123" -o ./docs --max-depth 3

# Export with Block IDs for later updates
feishu-docx export-wiki-space "https://xxx.feishu.cn/wiki/ABC123" -o ./docs -b

Export Database Schema

# Export bitable/workspace database schema as Markdown
feishu-docx export-workspace-schema <workspace_id>

# Specify output file
feishu-docx export-workspace-schema <workspace_id> -o ./schema.md

Write Documents (CLI)

Create Document

# Create empty document
feishu-docx create "我的笔记"

# Create with Markdown content
feishu-docx create "会议记录" -c "# 会议纪要\n\n- 议题一\n- 议题二"

# Create from Markdown file
feishu-docx create "周报" -f ./weekly_report.md

# Create in specific folder
feishu-docx create "笔记" --folder fldcnXXXXXX

# Create from a WeChat article URL
feishu-docx create --url "https://mp.weixin.qq.com/s/xxxxx"

如何获取 folder token:

1. 在浏览器中打开目标文件夹
2. 从 URL 中提取 token：https://xxx.feishu.cn/drive/folder/fldcnXXXXXX
3. fldcnXXXXXX 就是 folder token

Append Content to Existing Document

# Append Markdown content
feishu-docx write "https://xxx.feishu.cn/docx/xxx" -c "## 新章节\n\n内容"

# Append from file
feishu-docx write "https://xxx.feishu.cn/docx/xxx" -f ./content.md

Manage Drive Files

# List app cloud-space documents
feishu-docx drive ls --auth-mode tenant --type docx

# List personal cloud-space documents
feishu-docx drive ls --auth-mode oauth --type docx

# Show public permission
feishu-docx drive perm-show "https://xxx.feishu.cn/docx/ABC123"

# List permission members
feishu-docx drive perm-members "https://xxx.feishu.cn/docx/ABC123"

# Clear files with double confirmation
feishu-docx drive clear --type docx

Update Specific Block

# Step 1: Export with Block IDs
feishu-docx export "https://xxx.feishu.cn/docx/xxx" -b -o ./

# Step 2: Find block ID from HTML comments
# <!-- block:blk123abc -->
# # Heading
# <!-- /block -->

# Step 3: Update the specific block
feishu-docx update "https://xxx.feishu.cn/docx/xxx" -b blk123abc -c "新内容"

Tip for AI Agents: When you need to update a specific section:

1. Export with -b to get block IDs
2. Find the target block ID from HTML comments
3. Use feishu-docx update with that block ID

Tips

• Images auto-download to {doc_title}/ folder
• Use --stdout or -c for direct content output (recommended for agents)
• Use -b to export with block IDs for later updates
• Token auto-refreshes, no re-auth needed
• For Lark (overseas): add --lark flag
• tenant_access_token manages app cloud space, user_access_token manages personal cloud space