# Justwatch Dark Data Extraction API Example

**Use case:** 

A ready-to-run example that resolves Justwatch handles into structured records for Dark in AR, with normalized fields on each returned row.

## Input

```json
{
  "title": "Dark",
  "country": "AR"
}
```

## Output

```json
{
  "poster_url": {
    "label": "Poster URL",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "original_title": {
    "label": "Original Title",
    "format": "string"
  },
  "object_type": {
    "label": "Object Type",
    "format": "string"
  },
  "release_year": {
    "label": "Release Year",
    "format": "integer"
  },
  "offer_count": {
    "label": "Offer Count",
    "format": "integer"
  },
  "service_count": {
    "label": "Service Count",
    "format": "integer"
  },
  "country_count": {
    "label": "Country Count",
    "format": "integer"
  },
  "countries": {
    "label": "Countries",
    "format": "array"
  },
  "imdb_score": {
    "label": "IMDb Score",
    "format": "number"
  },
  "imdb_votes": {
    "label": "IMDb Votes",
    "format": "integer"
  },
  "tmdb_score": {
    "label": "TMDB Score",
    "format": "number"
  },
  "tomato_meter": {
    "label": "Tomato Meter",
    "format": "integer"
  },
  "jw_rating": {
    "label": "JW Rating",
    "format": "number"
  },
  "tmdb_popularity": {
    "label": "TMDB Popularity",
    "format": "number"
  },
  "likes": {
    "label": "Likes",
    "format": "integer"
  },
  "dislikes": {
    "label": "Dislikes",
    "format": "integer"
  },
  "genres": {
    "label": "Genres",
    "format": "string"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "runtime": {
    "label": "Runtime",
    "format": "integer"
  },
  "release_date": {
    "label": "Release Date",
    "format": "string"
  },
  "age_rating": {
    "label": "Age Rating",
    "format": "string"
  },
  "season_count": {
    "label": "Season Count",
    "format": "integer"
  },
  "cast": {
    "label": "Cast",
    "format": "string"
  },
  "directors": {
    "label": "Directors",
    "format": "string"
  },
  "production_countries": {
    "label": "Production Countries",
    "format": "string"
  },
  "backdrop_url": {
    "label": "Backdrop URL",
    "format": "string"
  },
  "trailer_url": {
    "label": "Trailer URL",
    "format": "string"
  },
  "page_url": {
    "label": "Page URL",
    "format": "string"
  },
  "imdb_id": {
    "label": "IMDb ID",
    "format": "string"
  },
  "tmdb_id": {
    "label": "TMDB ID",
    "format": "string"
  },
  "source": {
    "label": "Source",
    "format": "string"
  },
  "record_type": {
    "label": "Record Type",
    "format": "string"
  },
  "processor": {
    "label": "Processor",
    "format": "string"
  },
  "processed_at": {
    "label": "Processed At",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [JustWatch Lookup](https://apify.com/agentx/justwatch-lookup.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/agentx/justwatch-lookup.md) to learn more, explore other use cases, and run it yourself.


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If asked about integration, you help developers integrate Actors into their projects.
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This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/agentx/justwatch-lookup.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).