# One frame per scene of a short film

**Use case:** 

Frames at the scene changes of Big Buck Bunny (10 minutes, CC BY), filled in evenly where scenes are long, plus a contact sheet. Paste your own video link to do the same.

## Input

```json
{
  "videos": [
    "https://archive.org/download/BigBuckBunny_124/Content/big_buck_bunny_720p_surround.mp4"
  ],
  "mode": "overview",
  "maxFrames": 30,
  "intervalSeconds": 10,
  "timestamps": [],
  "sceneSensitivity": "medium",
  "skipDuplicates": true,
  "imageFormat": "jpg",
  "maxWidth": 1280,
  "quality": 85,
  "contactSheet": true,
  "maxFileSizeMb": 2048
}
```

## Output

```json
{
  "imageUrl": {
    "label": "Image",
    "format": "string"
  },
  "timecode": {
    "label": "Time",
    "format": "string"
  },
  "reason": {
    "label": "Picked because",
    "format": "string"
  },
  "videoNumber": {
    "label": "Video",
    "format": "integer"
  },
  "frameNumber": {
    "label": "Frame",
    "format": "integer"
  },
  "width": {
    "label": "Width",
    "format": "integer"
  },
  "height": {
    "label": "Height",
    "format": "integer"
  },
  "videoUrl": {
    "label": "Video link",
    "format": "string"
  }
}
```

## How it works

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

The Video Frame Extractor for Scene Changes and Thumbnails Actor is ready to run with the inputs already set for "One frame per scene of a short film". [Sign up or log in](https://console.apify.com/create-task-from-example/eykURvHtWlWLcr1KI) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "One frame per scene of a short film" task

The Video Frame Extractor for Scene Changes and Thumbnails Actor will start running based on the input automatically. You can also change all the input fields, like video links, which frames, and more, to match your specific use case.

### 3. Receive the "One frame per scene of a short film" 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 image, time, picked because, 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 "One frame per scene of a short film" task via API](https://apify.com/cleanscrape/video-frame-extractor.md).

## About this Actor

This example demonstrates how to use [Video Frame Extractor for Scene Changes and Thumbnails](https://apify.com/cleanscrape/video-frame-extractor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/cleanscrape/video-frame-extractor.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/cleanscrape/video-frame-extractor.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`).