Save To S3

Pricing

Pay per usage

Save To S3

Designed to be run from an ACTOR.RUN.SUCCEEDED webhook, this actor downloads a task run's default dataset and saves it to an S3 bucket.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Richard Weaver

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

64 days

Issues response

3 years ago

Last modified

Categories

Automation

Open source

You can access the Save To S3 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/?tools=drinksight/save-to-s3",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with Save To S3

Get a ready-to-use configuration for your MCP client with the Save To S3 Actor preconfigured at mcp.apify.com?tools=drinksight/save-to-s3 .

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.

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Upload the items from the default dataset of an actor's run to an S3 bucket in JSON format.

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Upload datasets and KV store records to Google cloud storage

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151

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