
Google Sheets Import & Export
Pricing
Pay per usage

Google Sheets Import & Export
Import data from datasets or JSON files to Google Sheets. Programmatically process data in Sheets. Easier and faster than the official Google Sheets API and perfect for importing data from scraping.
5.0 (1)
Pricing
Pay per usage
40
Total users
1.6K
Monthly users
211
Runs succeeded
54%
Issues response
59 days
Last modified
9 days ago
You can access the Google Sheets Import & Export programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/sse?actors=lukaskrivka/google-sheets", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}
Configure MCP server with Fast Google Sheets import and export tool
You have a few options for interacting with the MCP server:
Use
mcp.apify.com
viamcp-remote
from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).Set up the connection directly in your MCP client UI by providing the URL
https://mcp.apify.com/sse?actors=lukaskrivka/google-sheets
along with an API token (or use OAuth).Connect to
mcp.apify.com
via Server-Sent Events (SSE), as shown below:
{ "mcpServers": { "apify": { "type": "sse", "url": "https://mcp.apify.com/sse?actors=lukaskrivka/google-sheets", "headers": { "Authorization": "Bearer <YOUR_API_TOKEN>" } } }}
You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.
If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.