# Upscale a list of image URLs 4x in one run

**Use case:** 

Paste any number of image URLs and get each one upscaled 4x with an AI super-resolution model, in a single run. Every image comes back as its own dataset item with the upscaled image URL, width and height, ready for an API call, n8n or an AI agent. Images that cannot be read are returned as error items and are not charged.

## Input

```json
{
  "imageUrls": [
    "https://api.apify.com/v2/key-value-stores/MnVYERh4Bm47trebR/records/lake-500",
    "https://api.apify.com/v2/key-value-stores/MnVYERh4Bm47trebR/records/flower-500",
    "https://api.apify.com/v2/key-value-stores/MnVYERh4Bm47trebR/records/havana_car-500"
  ],
  "maxImagesPerItem": 1,
  "scale": "4",
  "outputFormat": "jpg",
  "maxOutputMegapixels": 16,
  "maxImages": 100
}
```

## Output

```json
{
  "outputUrl": {
    "label": "Upscaled",
    "format": "string"
  },
  "inputUrl": {
    "label": "Input",
    "format": "string"
  },
  "width": {
    "label": "W",
    "format": "integer"
  },
  "height": {
    "label": "H",
    "format": "integer"
  },
  "factor": {
    "label": "Factor",
    "format": "number"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Image Upscaler API — Upscale Images 2x/4x, Pay per Image](https://apify.com/sherwood/image-upscaler-batch.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sherwood/image-upscaler-batch.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/sherwood/image-upscaler-batch.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`).