Google Sheets Import & Export avatar
Google Sheets Import & Export

Pricing

Pay per usage

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Google Sheets Import & Export

Google Sheets Import & Export

Developed by

Lukáš Křivka

Lukáš Křivka

Maintained by Community

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

39

Total users

1.5K

Monthly users

193

Runs succeeded

68%

Issues response

43 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": {
"local-actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"lukaskrivka/google-sheets"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

Configure MCP server with Fast Google Sheets import and export tool

You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:

{
"mcpServers": {
"remote-actors-mcp-server": {
"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 supported 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.