# Letterboxd Scraper - Films, Ratings & Reviews

**Use case:** 

Scrape Letterboxd films, ratings, directors, runtimes and reviews, with monitoring, resume support and MCP connectors.

## Input

```json
{
  "mode": "search",
  "queries": [
    "dune"
  ],
  "startUrls": [
    {
      "url": "https://letterboxd.com/films/popular/"
    }
  ],
  "browsePath": "/films/popular/",
  "maxItems": 20,
  "maxPages": 0,
  "fetchReviews": true,
  "maxReviewsPerFilm": 25,
  "incrementalMode": false,
  "emitUnchanged": false,
  "emitExpired": false,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "BUYPROXIES94952"
    ]
  },
  "maxNotifyListings": 50
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "text"
  },
  "changeType": {
    "label": "Change type (incremental mode)",
    "format": "text"
  },
  "releaseYear": {
    "label": "Release year",
    "format": "number"
  },
  "directors": {
    "label": "Directors",
    "format": "array"
  },
  "genre": {
    "label": "Genre",
    "format": "array"
  },
  "averageRating": {
    "label": "Average rating",
    "format": "number"
  },
  "ratingsCount": {
    "label": "Ratings count",
    "format": "number"
  },
  "runtimeMinutes": {
    "label": "Runtime (min)",
    "format": "number"
  },
  "tagline": {
    "label": "Tagline",
    "format": "text"
  },
  "url": {
    "label": "Film URL",
    "format": "link"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "date"
  },
  "changedFields": {
    "label": "Changed fields (incremental mode)",
    "format": "array"
  },
  "firstSeenAt": {
    "label": "First seen (incremental mode)",
    "format": "date"
  },
  "lastSeenAt": {
    "label": "Last seen (incremental mode)",
    "format": "date"
  }
}
```

## About this Actor

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


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/abotapi/letterboxd-film-reviews-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).