# Export Apify Datasets to Amazon S3

**Use case:** 

Preview an Apify dataset export to Amazon S3 in JSONL format. Generate sample export output and an export manifest without AWS credentials using dry-run mode. Ideal for developers testing cloud backups, data pipelines, and ETL integrations before configuring real S3 storage.

## Input

```json
{
  "provider": "aws",
  "region": "us-east-1",
  "sampleItems": [
    {
      "company": "OptiRefine",
      "product": "Dataset Exporter",
      "sales": 500
    },
    {
      "company": "OptiRefine",
      "product": "Cloud Data Pipeline",
      "sales": 850
    }
  ],
  "format": "jsonl",
  "keyPrefix": "apify-exports/s3-preview",
  "maxItems": 2,
  "maxRowsPerPart": 1000,
  "maxBytesPerPart": 5242880,
  "compressGzip": false,
  "forcePathStyle": false,
  "incremental": false,
  "cursorStoreName": "multicloud-exporter-s3-cursor",
  "dryRun": true
}
```

## Output

```json
{
  "objectKey": {
    "label": "Object key",
    "format": "string"
  },
  "bucket": {
    "label": "Bucket",
    "format": "string"
  },
  "rows": {
    "label": "Rows",
    "format": "integer"
  },
  "bytes": {
    "label": "Stored bytes",
    "format": "integer"
  },
  "dryRun": {
    "label": "Preview only",
    "format": "boolean"
  },
  "sha256": {
    "label": "SHA-256 checksum",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Multi-Cloud Dataset Exporter — S3, R2, B2 & Wasabi Actor is ready to run with the inputs already set for "Export Apify Datasets to Amazon S3". [Sign up or log in](https://console.apify.com/create-task-from-example/lhkIsQZdkp5WbJOs3) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Export Apify Datasets to Amazon S3" task

The Multi-Cloud Dataset Exporter — S3, R2, B2 & Wasabi Actor will start running based on the input automatically. You can also change all the input fields, like cloud storage provider, cloud region, and more, to match your specific use case.

### 3. Receive the "Export Apify Datasets to Amazon S3" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as object key, bucket, rows, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Export Apify Datasets to Amazon S3" task via API](https://apify.com/optirefine/multicloud-dataset-exporter.md).

## FAQ

### What kind of data does this task export?

The 'Export Apify Datasets to Amazon S3' task exports dataset content in JSONL format that includes rows, bucket information, and checksums.

### What does the 'dryRun' field mean?

The 'dryRun' field indicates whether the task is in preview mode, meaning it generates a manifest without making any actual uploads.

### What output fields are generated by this task?

The task generates fields such as object key, bucket name, row count, stored bytes, dry run status, and SHA-256 checksum.

### Can this task run automatically in the Apify Console?

Yes, this task can be scheduled to run automatically in the Apify Console.

### How does incremental mode work in this task?

Incremental mode in this task allows for append-only updates to named datasets by storing the committed row offset for future runs.

## About this Actor

This example demonstrates how to use [Multi-Cloud Dataset Exporter — S3, R2, B2 & Wasabi](https://apify.com/optirefine/multicloud-dataset-exporter.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/optirefine/multicloud-dataset-exporter.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/optirefine/multicloud-dataset-exporter.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).