# 🎬 Letterboxd Scraper — Films, Ratings & Watchlists

**Use case:** 

No-code, cheap Letterboxd API. Scrape film data: rating, ratings count, watches, likes, fans, genres, directors, cast, runtime, synopsis — cheapest per item.

## Input

```json
{
  "startUrls": [
    "https://letterboxd.com/films/popular/this/week/"
  ],
  "sort": "",
  "maxFilms": 100,
  "includeStatistics": true,
  "includeAvailability": false
}
```

## Output

```json
{
  "slug": {
    "label": "Slug",
    "format": "text"
  },
  "lid": {
    "label": "Lid",
    "format": "text"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "year": {
    "label": "Year",
    "format": "number"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "ratingCount": {
    "label": "Rating Count",
    "format": "number"
  },
  "bestRating": {
    "label": "Best Rating",
    "format": "number"
  },
  "director": {
    "label": "Director",
    "format": "text"
  },
  "genres": {
    "label": "Genres",
    "format": "text"
  },
  "runtimeMinutes": {
    "label": "Runtime Minutes",
    "format": "number"
  },
  "tagline": {
    "label": "Tagline",
    "format": "text"
  },
  "synopsis": {
    "label": "Synopsis",
    "format": "text"
  },
  "cast": {
    "label": "Cast",
    "format": "text"
  },
  "countries": {
    "label": "Countries",
    "format": "text"
  },
  "languages": {
    "label": "Languages",
    "format": "text"
  },
  "studios": {
    "label": "Studios",
    "format": "text"
  },
  "poster": {
    "label": "Poster",
    "format": "link"
  },
  "imdbUrl": {
    "label": "Imdb Url",
    "format": "link"
  },
  "tmdbUrl": {
    "label": "Tmdb Url",
    "format": "link"
  },
  "watches": {
    "label": "Watches",
    "format": "number"
  },
  "likes": {
    "label": "Likes",
    "format": "number"
  },
  "fans": {
    "label": "Fans",
    "format": "number"
  },
  "listAppearances": {
    "label": "List Appearances",
    "format": "number"
  },
  "reviewCount": {
    "label": "Review Count",
    "format": "number"
  },
  "themes": {
    "label": "Themes",
    "format": "text"
  },
  "url": {
    "label": "Url",
    "format": "link"
  },
  "streaming": {
    "label": "Streaming",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Letterboxd Scraper — Films, Ratings, Watchlists & Lists](https://apify.com/hipersoft/letterboxd-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/hipersoft/letterboxd-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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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/hipersoft/letterboxd-scraper.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).
