You can access the S3 Bucket Uploader 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/sse?actors=mstephen190/s3-bucket-uploader",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

Configure MCP server with S3 Bucket Uploader

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/sse?actors=mstephen190/s3-bucket-uploader 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=mstephen190/s3-bucket-uploader",
            "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.

Save To S3

drinksight/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.

Richard Weaver

S3 Uploader

apify/s3-uploader

Upload data from an Apify dataset to an Amazon S3 bucket. Providing various filters and transformation options, this Actor allows precise control over data structure, formatting, and upload settings to ensure seamless integration into your data pipeline.

Apify

Dataset Image Downloader & Uploader

lukaskrivka/images-download-upload

Download image files from image URLs in your datasets and save them to a Zip file, Key-Value store, or directly your AWS S3 bucket.

Lukáš Křivka

892

FTP file uploader

petr_cermak/ftp-upload

Performs a simple upload of an array of files to an FTP.

Petr Cermak

Google Dataset Items Translator

web.harvester/google-dataset-items-translator

Translate any dataset field(s) to any of the supported languages using the Google Translate website, it goes through all the items in the dataset and translates all of the selected fields

Web Harvester

Append to dataset

valek.josef/append-to-dataset

Utility actor that allows you to build a single large dataset from individual default datasets of other actor runs.

Josef Válek

Python Example

apify/python-example

Example Actor written in Python, showing how to read the Actor input and push to the Actor's default dataset.

Apify

106

Forward dataset as POST data

anchor/forward-dataset-webhook

This actor forwards the results of an Actor to an endpoint, instead of having to fetch the results manually. It will download the dataset and attach it to the body of a POST request you will specify. It acts as a new webhook. Simplify your Actor process !!!

Anchor

Azure dataset uploader

mvolfik/azure-dataset-uploader

The easiest way to upload datasets to Azure blob storage.

Matěj Volf

Youtube Channel Upload History – Video Metadata Scraper

plikscrapper/youtube-channel-video-metadata-scraper

Scrapes videos from a YouTube channel within a specified date range and extracts detailed metadata including title, URL, upload date, thumbnail, views, and duration. Results are saved in an Apify dataset and can be exported as JSON, CSV, or other formats.