Mi Notes Bulk Exporter

A Python automation tool that exports Xiaomi/Mi Notes from the Mi Notes web interface into separate .txt files.

Problem

Mi Notes web did not provide a practical bulk export option for all notes. Manually opening and copying hundreds of notes one by one was slow and error-prone.

Solution

This project automates the export process by combining:

• Browser automation with Playwright
• Reverse engineering of Mi Notes web network calls
• Exact note-detail extraction from internal note endpoints
• Plain-text export into separate .txt files

Key Idea

Simple UI scraping was not reliable because the page mixed note-list previews and note-detail content. To solve that, this tool captures internal note list and note detail responses and uses them to export each note accurately.

Features

• Manual login support
• Reads notes in visible order from the Mi Notes web interface
• Fetches exact note details
• Exports each note as a separate .txt file
• Supports batch export for testing or full export
• Debug mode for troubleshooting

Project Flow

1. Open Mi Notes web page in Chrome using Playwright
2. User logs in manually
3. Tool detects the visible notes in the left pane
4. Tool maps visible notes to internal note records
5. Tool fetches exact note detail using internal note endpoints
6. Tool cleans note markup into readable plain text
7. Tool saves each note into a separate .txt file

Working Flow

• The browser opens Mi Notes web
• The user logs in and opens the All notes page
• The exporter reads the starting visible notes in order
• The tool captures internal network responses
• It fetches exact content for each note
• It saves notes as separate text files

Tech Stack

• Python
• Playwright
• Browser automation
• Network/API response analysis
• Text extraction and normalization

Installation

1. Clone the repository

git clone https://github.com/varuntech123/mi-notes-bulk-exporter.git
cd mi-notes-bulk-exporter

2. Create a virtual environment

python -m venv venv

3. Activate the virtual environment

Windows PowerShell:

venv\Scripts\Activate.ps1

Windows CMD:

venv\Scripts\activate

4. Install dependencies

pip install -r requirements.txt
python -m playwright install chrome

How To Run

Export first 20 notes

python mi_notes_exporter.py --output-dir exported_notes_first20 --limit 20 --debug

Export all notes

python mi_notes_exporter.py --output-dir exported_notes_all --limit 601 --debug

Usage Steps

1. Run the script
2. Log in to Mi Notes web manually
3. Open All notes
4. Keep the top notes visible in the left pane
5. Press Enter in terminal
6. Do not manually scroll or click after that
7. Wait for the export to complete

Output

The tool creates separate .txt files for each note in the selected output folder.

Example:

• 001_90-days-challenges.txt
• 002_daily_tasks.txt

Debug Mode

Use --debug to save troubleshooting artifacts such as:

• page screenshot
• ordered note targets
• captured network payloads

Important Notes

• Do not upload personal exported notes to GitHub
• Do not upload browser profile/session folders
• This project is intended for personal data extraction and automation research
• Web app changes may require selector or response-mapping updates

Example Commands

python mi_notes_exporter.py --output-dir exported_notes_demo --limit 10 --debug
python mi_notes_exporter.py --output-dir exported_notes_first20 --limit 20 --debug
python mi_notes_exporter.py --output-dir exported_notes_all --limit 601 --debug

SCREESHOT Screenshot of Chrome...

Screenshot of Command line...

Interview Value

This project demonstrates:

• solving a real user problem
• browser automation
• reverse engineering a production web app
• using internal network responses instead of fragile scraping
• designing a hybrid automation plus data extraction workflow