# Letterboxd Film Reviews & Ratings Scraper (`lulzasaur/letterboxd-scraper`) Actor

Scrape Letterboxd films with ratings, reviews, directors, genres, and fan counts. Browse popular, top-rated, or recent films, or search by title.

- **URL**: https://apify.com/lulzasaur/letterboxd-scraper.md
- **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community)
- **Categories:** E-commerce
- **Features:** Limited permissions
- **Stats:** 9 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 Reviews & Ratings Scraper

Scrape film data from Letterboxd including ratings, reviews, directors, genres, fan counts, and poster images. Browse popular, top-rated, or recent films, or search by title.

### Features

- **Search by title**: Find specific films using Letterboxd's search
- **Browse popular films**: Scrape the most popular films on Letterboxd
- **Browse top-rated**: Get the highest-rated films of all time
- **Browse recent**: Get films from the current year
- **Full detail extraction**: Title, year, director, genres, aggregate rating, review count, fan count
- **Embedded reviews**: Up to 12 popular reviews per film with user, rating, and text
- **JSON-LD parsing**: Reliable structured data extraction from film pages

### Output Fields

| Field | Description |
|-------|-------------|
| `title` | Film title |
| `year` | Release year |
| `director` | Director name(s) |
| `genres` | Array of genre tags |
| `rating` | Letterboxd average rating (0-5 scale) |
| `ratingCount` | Total number of ratings |
| `reviewCount` | Total number of written reviews |
| `fanCount` | Number of fans |
| `posterUrl` | Film poster image URL |
| `letterboxdUrl` | Direct Letterboxd URL |
| `recentReviews` | Array of {user, rating, text} objects |
| `scrapedAt` | ISO timestamp |

### Use Cases

- **Film analytics**: Analyze rating distributions and trends across genres
- **Review monitoring**: Track popular reviews and sentiment for films
- **Watchlist building**: Build curated film lists based on ratings and popularity
- **Market research**: Analyze film popularity trends for content recommendations
- **Data journalism**: Source data for film industry analysis and reporting

### Example Output

```json
{
  "title": "The Shawshank Redemption",
  "year": 1994,
  "director": "Frank Darabont",
  "genres": ["Crime", "Drama"],
  "rating": 4.59,
  "ratingCount": 2732485,
  "reviewCount": 281326,
  "fanCount": 161000,
  "posterUrl": "https://a.ltrbxd.com/resized/sm/upload/7l/hn/46/uz/...",
  "letterboxdUrl": "https://letterboxd.com/film/the-shawshank-redemption/",
  "recentReviews": [
    {
      "user": "adambolt",
      "rating": 4.5,
      "text": "he became a morgan free man"
    }
  ],
  "scrapedAt": "2026-04-25T12:00:00.000Z"
}
```

### Browse Modes

| Mode | Description | URL Pattern |
|------|-------------|-------------|
| `popular` | Most popular films all-time | `/films/popular/` |
| `top-rated` | Highest rated films | `/films/by/rating/` |
| `recent` | Films from current year | `/films/year/{year}/` |

### Notes

- Film listing pages return 72 films per page
- Each film detail page is fetched individually for full data extraction
- The scraper respects rate limits with built-in delays between requests
- Search uses Letterboxd's autocomplete API and may return fewer results for broad queries

***

### Run on Apify

This scraper runs on the [Apify platform](https://apify.com/?fpr=lulzasaur) -- a full-stack web scraping and automation cloud. Sign up for a free account to get started with 30-day trial of all features.

[Try Apify free](https://apify.com/?fpr=lulzasaur)

# Actor input Schema

## `searchQuery` (type: `string`):

Search for films by title (e.g. 'inception', 'parasite'). Leave empty to browse by mode.

## `browseMode` (type: `string`):

How to browse films when no search query is provided.

## `maxResults` (type: `integer`):

Maximum number of films to scrape (72 films per listing page).

## `proxyConfiguration` (type: `object`):

Optional proxy to use for requests.

## Actor input object example

```json
{
  "searchQuery": "",
  "browseMode": "popular",
  "maxResults": 100
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("lulzasaur/letterboxd-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("lulzasaur/letterboxd-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 '{}' |
apify call lulzasaur/letterboxd-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lulzasaur/letterboxd-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/5DUXtIxnqqq92qz8E/builds/pmED0X70dtvc7s2be/openapi.json