Learn how to create an application that interacts with Google Sheets. This guide shows you how to access and display spreadsheet data using Python and pandas.

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What you’ll learn

Google Sheets

Connect to spreadsheet data

Data Processing

Work with pandas dataframes

API Integration

Use Google’s API services

Authentication

Handle OAuth and service accounts

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Create your app

1

Fork the template

Sign in to Replit and fork the Google Sheets to HTML Renderer. Select + Use Template and follow the prompts to create your Replit App.
2

Configure for public sheets

  1. Open main.py
  2. Replace WORKSHEET_URL with your Google Sheet URL
  3. Set require_auth=False for public sheets
A worksheet refers to a single tab in a Google Sheet. Make sure to use the correct tab’s URL.
3

Configure for private sheets

  1. Enable Google Sheets API access:
  2. Create a service account
  3. Add the service account JSON to your Replit App’s Secrets as SERVICE_ACCOUNT_JSON
  4. Share your sheet with the service account email
Service accounts provide secure, automated access to your sheets.

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Deploy your app

1

Configure deployment

  1. Select Deploy in the workspace header
  2. Choose Reserved VM deployment
  3. Select Deploy
2

Test

Your app will be live in a few minutes. Test it by accessing the HTML endpoint in your browser.

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Customization options

Data Processing

  • Modify data transformations
  • Add filtering options
  • Create custom views

Display

  • Customize HTML rendering
  • Add interactive features
  • Style your output

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Next steps

FastAPI

Create an API service

Databases

Add persistent storage

Create a Slack bot

Build a Slack integration

Build with AI

Create apps using Agent
Want to learn more about API integrations? Check out our deployment documentation.