Automate Google Sheets Data Operations
Lightweight Google Sheets integration with standalone OAuth authentication providing full read/write access via Python scripts without requiring an MCP server.
Why it matters
Streamline your data management by programmatically reading from and writing to Google Sheets. This skill enables automated data extraction, updates, and appends without manual intervention.
Outcomes
What it gets done
Read spreadsheet data in text, CSV, or JSON formats.
Update, append, or clear data within specified cell ranges.
Search for spreadsheets using keywords.
Authenticate securely using OAuth with Google Workspace.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-google-sheets-automation | bash Capabilities
What this skill does
Read spreadsheet data in text, CSV, or JSON formats.
Update, append, or clear data within specified cell ranges.
Search for spreadsheets using keywords.
Authenticate securely using OAuth with Google Workspace.
Overview
Google Sheets
What it does
Google Sheets integration skill
How it connects
When you need to read, write, search, or manipulate Google Sheets data using Python command-line scripts with OAuth authentication
Source README
Google Sheets
Lightweight Google Sheets integration with standalone OAuth authentication. No MCP server required. Full read/write access.
Requires Google Workspace account. Personal Gmail accounts are not supported.
First-Time Setup
Authenticate with Google (opens browser):
python scripts/auth.py login
Check authentication status:
python scripts/auth.py status
Logout when needed:
python scripts/auth.py logout
Read Commands
All operations via scripts/sheets.py. Auto-authenticates on first use if not logged in.
### Get spreadsheet content as plain text (default)
python scripts/sheets.py get-text SPREADSHEET_ID
### Get spreadsheet content as CSV
python scripts/sheets.py get-text SPREADSHEET_ID --format csv
### Get spreadsheet content as JSON
python scripts/sheets.py get-text SPREADSHEET_ID --format json
### Get values from a specific range (A1 notation)
python scripts/sheets.py get-range SPREADSHEET_ID "Sheet1!A1:D10"
python scripts/sheets.py get-range SPREADSHEET_ID "A1:C5"
### Find spreadsheets by search query
python scripts/sheets.py find "budget 2024"
python scripts/sheets.py find "sales report" --limit 5
### Get spreadsheet metadata (sheets, dimensions, etc.)
python scripts/sheets.py get-metadata SPREADSHEET_ID
Write Commands
### Update a range of cells with values (JSON 2D array)
python scripts/sheets.py update-range SPREADSHEET_ID "Sheet1!A1:B2" '[["Hello","World"],["Foo","Bar"]]'
### Update with RAW input (no formula parsing, treats everything as literal text)
python scripts/sheets.py update-range SPREADSHEET_ID "Sheet1!A1:B1" '[["=SUM(A1:A5)","text"]]' --raw
### Append rows after the last data row
python scripts/sheets.py append-rows SPREADSHEET_ID "Sheet1!A:Z" '[["New Row Col A","New Row Col B"]]'
### Clear values from a range (keeps formatting)
python scripts/sheets.py clear-range SPREADSHEET_ID "Sheet1!A1:B10"
### Batch update (advanced - for formatting, merging, etc.)
python scripts/sheets.py batch-update SPREADSHEET_ID '[{"updateCells":{"range":{"sheetId":0},"fields":"userEnteredValue"}}]'
Spreadsheet ID
You can use either:
- The spreadsheet ID:
1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms - The full URL:
https://docs.google.com/spreadsheets/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/edit
The script automatically extracts the ID from URLs.
Output Formats
Text (default)
Human-readable format with pipe separators:
Spreadsheet Title: Sales Data
Sheet Name: Q1
Name | Revenue | Units
Product A | 10000 | 50
Product B | 15000 | 75
CSV
Standard CSV format, suitable for further processing:
Name,Revenue,Units
Product A,10000,50
Product B,15000,75
JSON
Structured data format:
{
"Q1": [
["Name", "Revenue", "Units"],
["Product A", "10000", "50"]
]
}
A1 Notation Examples
Sheet1!A1:B10- Range A1 to B10 on Sheet1Sheet1!A:A- All of column A on Sheet1Sheet1!1:1- All of row 1 on Sheet1A1:C5- Range on the first sheet
Value Input Options
- USER_ENTERED (default): Values are parsed as if typed by a user. Numbers, dates, and formulas are interpreted.
- RAW (
--rawflag): Values are stored exactly as provided. No parsing of formulas or number formatting.
Token Management
Tokens stored securely using the system keyring:
- macOS: Keychain
- Windows: Windows Credential Locker
- Linux: Secret Service API (GNOME Keyring, KDE Wallet, etc.)
Service name: google-sheets-skill-oauth
Tokens automatically refresh when expired using Google's cloud function.
When to Use
Use this skill when tackling tasks related to its primary domain or functionality as described above.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Discussion
Questions & comments · 0
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