# Letterboxd Film Scraper (IMDb and TMDB ID lookup, no login) (`integrative_cafe_8pc/letterboxd-film-scraper`) Actor

Use this Actor when you need Letterboxd data for a list of films: rating, rating count, reviews, genres, themes, studios, runtime and release dates by country. Accepts Letterboxd links, slugs, IMDb IDs or TMDB IDs. Pay only per film returned; failures are free.

- **URL**: https://apify.com/integrative_cafe_8pc/letterboxd-film-scraper.md
- **Developed by:** [Bluefield Data](https://apify.com/integrative_cafe_8pc) (community)
- **Categories:** Developer tools, Automation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 films

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Letterboxd Film Scraper (IMDb and TMDB ID lookup, no login)

Use this Actor when you need Letterboxd ratings and film details for a list of movies, looked up by Letterboxd link, slug, IMDb ID or TMDB ID.

Get the Letterboxd rating and the full film record for any list of films. Paste Letterboxd links, Letterboxd slugs, IMDb IDs or TMDB IDs, mixed in one list, and get one clean row per film.

### What you get for each film

- Letterboxd average rating (0.5 to 5), number of ratings and number of reviews
- Title, original title, year, runtime, tagline and synopsis
- Genres and Letterboxd themes
- Studios, countries, primary and spoken languages, alternative titles
- Every release with date, type (premiere, theatrical, digital, physical, TV), country, age certification and note
- IMDb ID, TMDB ID, Letterboxd film ID and slug, so you can join Letterboxd ratings with IMDb or TMDB data
- Poster, backdrop and trailer links

Cast and crew names are not returned.

### Why this one

- **Bulk ID lookup.** Most Letterboxd scrapers need Letterboxd links. This one also takes `tt6751668` or `tmdb:496243` and finds the Letterboxd page for you, which is what you need to add Letterboxd ratings to a movie database.
- **Built to finish.** A blocked request gets a new residential session with growing backoff. In our test, 5 of 5 real films came back with 0 errors, mixing links, slugs, an IMDb ID and a TMDB link.
- **Failures are free.** A film that is not found or cannot be fetched comes back with an `error` field and `charged: false` and is not charged; every charged row carries `charged: true`, and the run's final message says how many failed. The same film listed twice (for example by IMDb ID and by link) is charged once.

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `films` | list of strings | 3 sample films | One film per line: `https://letterboxd.com/film/parasite-2019/`, `parasite-2019`, `tt6751668`, an IMDb link, `tmdb:496243` or a TMDB movie link |
| `includeReleases` | boolean | `true` | Add the release list (date, country, certification) |
| `maxConcurrency` | integer | `3` | Films fetched at the same time, 1 to 5 |
| `proxy` | object | Apify residential | Proxy settings |

Example:

```json
{
  "films": ["https://letterboxd.com/film/parasite-2019/", "tt0111161", "tmdb:940721"],
  "includeReleases": false
}
```

### Output example

```json
{
  "input": "tt6751668",
  "url": "https://letterboxd.com/film/parasite-2019/",
  "slug": "parasite-2019",
  "letterboxdId": 426406,
  "title": "Parasite",
  "originalTitle": "기생충",
  "year": 2019,
  "runtimeMinutes": 133,
  "tagline": "Act like you own the place.",
  "synopsis": "All unemployed, Ki-taek's family takes peculiar interest in the wealthy and glamorous Parks...",
  "rating": 4.51,
  "ratingCount": 5973844,
  "reviewCount": 804660,
  "genres": ["Thriller", "Comedy", "Drama"],
  "themes": ["Intense violence and sexual transgression", "Humanity and the world around us"],
  "studios": ["Barunson E&A"],
  "countries": ["South Korea"],
  "primaryLanguage": "Korean",
  "spokenLanguages": ["English", "German", "Korean"],
  "alternativeTitles": ["Gisaengchung", "Parásitos"],
  "imdbId": "tt6751668",
  "tmdbId": 496243,
  "tmdbType": "movie",
  "posterUrl": "https://a.ltrbxd.com/resized/film-poster/4/2/6/4/0/6/426406-parasite-0-600-0-900-crop.jpg",
  "backdropUrl": "https://a.ltrbxd.com/resized/sm/upload/oi/ha/78/z8/parasite-1920-1920-1080-1080-crop-000000.jpg",
  "trailerUrl": "https://www.youtube-nocookie.com/embed/PhPROyE0OaM",
  "releases": [
    {"type": "Premiere", "date": "2019-05-21", "country": "France", "certification": null, "note": "Cannes Film Festival"}
  ],
  "scrapedAt": "2026-10-27T03:42:37+00:00",
  "charged": true
}
```

A film that fails:

```json
{"input": "this-film-does-not-exist-xyz-2099", "charged": false, "error": "film not found on Letterboxd; not charged"}
```

### Pricing

You pay per result: **$0.002 per film**. Failures are free: rows with `error` are never charged, and duplicates are charged once.

### Limits

- Film titles typed as free text (like `Dune Part Two`) are not searched; use the Letterboxd link, the slug, the IMDb ID or the TMDB ID.
- Rating histograms, member reviews, user profiles and lists are not returned.

# Actor input Schema

## `films` (type: `array`):

One film per line. Accepted: a Letterboxd film link (letterboxd.com/film/parasite-2019/), a Letterboxd slug (parasite-2019), an IMDb ID or link (tt6751668), or a TMDB ID or link (tmdb:496243). Each film is returned once even if listed twice.

## `includeReleases` (type: `boolean`):

Add every release (premiere, theatrical, digital, physical, TV) with date, country, age certification and note. Turn off for a smaller dataset.

## `maxConcurrency` (type: `integer`):

How many films are fetched at the same time, from 1 to 5. Lower is gentler on Letterboxd.

## `proxy` (type: `object`):

Proxy settings. Residential proxy is recommended: Letterboxd sits behind Cloudflare.

## Actor input object example

```json
{
  "films": [
    "https://letterboxd.com/film/parasite-2019/",
    "tt0111161",
    "tmdb:940721"
  ],
  "includeReleases": true,
  "maxConcurrency": 3,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "films": [
        "https://letterboxd.com/film/parasite-2019/",
        "tt0111161",
        "tmdb:940721"
    ],
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("integrative_cafe_8pc/letterboxd-film-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "films": [
        "https://letterboxd.com/film/parasite-2019/",
        "tt0111161",
        "tmdb:940721",
    ],
    "proxy": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("integrative_cafe_8pc/letterboxd-film-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "films": [
    "https://letterboxd.com/film/parasite-2019/",
    "tt0111161",
    "tmdb:940721"
  ],
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call integrative_cafe_8pc/letterboxd-film-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,integrative_cafe_8pc/letterboxd-film-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/XIDgPuoN0RrCBXAWa/builds/mZyShzQUGg1w9QeaI/openapi.json