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GDrive Integration

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Developed by

Foldstone

Enhanced Integration between Apify and Google Sheets. Update same document, or create a new one on each run. Skip duplicate rows. Append or insert in user-defined order. Define single (or multiple) columns for ordering and to identify existing duplicates. Configure on https://gdriveintegration.com

0.0 (0)

Pricing

Pay per event

Last modified

6 days ago

Integrations

Developer tools

Automation

You can access the GDrive Integration 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?actors=ayf/gdriveintegration",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with GDrive Integration

You have a few options for interacting with the MCP server:

Use mcp.apify.com via mcp-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/?actors=ayf/gdriveintegration 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/?actors=ayf/gdriveintegration",
            "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.

Google Sheets Import & Export

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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.

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Twitter (X.com) Users Scraper

web.harvester/twitter-users-scraper

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Google Sheets Monitoring

dtrungtin/google-sheets-monitoring

This actor will monitor the google sheets file and do actions correspondingly.

Tin

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m3web/scraped-data-cleaner-rental

Clean and organize scraped .json or .csv data — no coding required. Remove duplicates, empty rows, unwanted columns, and sort by any field. Cleaned results are pushed to your Apify dataset. Perfect for marketers, researchers, and no-code workflows.

M3Web

Scraped Data Cleaner & Converter (No-Code CSV/JSON Tool) - PPE

m3web/scraped-data-cleaner-ppe

Clean and organize scraped .json or .csv data — no coding required. Remove duplicates, empty rows, unwanted columns, and sort by any field. Cleaned results are stored in Apify's Key-Value Store. Perfect for marketers, researchers, and no-code workflows.

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Google Trends Scraper

apify/google-trends-scraper

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