# 🚀 Letterboxd Reviews Scraper · 10,000 Free Reviews/Month (`omkar-cloud/letterboxd-reviews-scraper`) Actor

Letterboxd Reviews Scraper gets you reviews ⚡ fast, 🎯 100% accurate and 🔍 ridiculously detailed — full text, star rating, likes & comments by film, member or popularity. 💰 $0.50 per 1,000 reviews, no start fee. Scrape your first 10,000 reviews free every month 🚀

- **URL**: https://apify.com/omkar-cloud/letterboxd-reviews-scraper.md
- **Developed by:** [Omkar Cloud](https://apify.com/omkar-cloud) (community)
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 review scrapeds

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 Reviews Scraper

Letterboxd Reviews Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed Letterboxd reviews.

Letterboxd uses Cloudflare bot protection to stop you from getting its data.

Letterboxd Reviews Scraper beats it, so you get the data, and can successfully complete your project.

**$0.50 per 1,000 reviews.** And with Apify's free plan you get $5 of credit every month, so your first **~10,000 reviews each month are free**.

This is an excellent Actor made by Omkar Cloud, which is Rated Excellent — [4.7 based on 30 reviews on Trustpilot](https://www.trustpilot.com/review/omkar.cloud).

👉 [**Try Letterboxd Reviews Scraper free**](https://apify.com/omkar-cloud/letterboxd-reviews-scraper) — your first ~10,000 reviews are Free.

### What can I get

- ✍️ **Every review, in full** — 1M+ on Interstellar alone: full text, HTML, spoiler flag & language
- ⭐ **Star rating, like & rewatch** — plus likes and comments counts on every review
- 🎬 **By film, by member or what's hot** — any film's reviews, any member's reviews, or the most popular this week, month, year or ever
- 🎯 **Filter & sort** — only 5-star reviews, newest first, most popular first

### Why Letterboxd Reviews Scraper

Most other Letterboxd scrapers fail you in one of four ways:

- 🗄️ **Inaccurate, cached, stale data**
- 🧩 **Low-detail data** — a few fields per row, never the full picture
- 💸 **Pay more to get the same data**
- 🪦 **Works today, breaks next month** — nobody maintains it

Letterboxd Reviews Scraper is scraped live on every run, priced honestly, and actively maintained.

### Example: A Letterboxd Review

```json
{
  "id": 416278186,
  "link": "https://letterboxd.com/tototoro/film/interstellar/6/",
  "member": { "username": "tototoro", "name": "sree", "link": "https://letterboxd.com/tototoro/" },
  "film": { "name": "Interstellar", "year": 2014, "link": "https://letterboxd.com/film/interstellar/" },
  "rating": 5,
  "is_liked": true,
  "date": "2023-07-19",
  "has_spoilers": false,
  "text": "my favourite part is how he doesn't give an absolute shit about his son",
  "likes_count": 65400,
  "comments_count": 1,
  "source_kind": "film",
  "source_input": "interstellar"
}
```

*Trimmed for readability.*

### Get Started with 10,000 Free Reviews

1. [Hit **Try for Free Button**](https://apify.com/omkar-cloud/letterboxd-reviews-scraper) — the input is pre-filled with Interstellar.
2. Enjoy your data 😎.

### Pricing

High value, Low price.

| What | Price | What you get |
|---|---|---|
| **Reviews** | **$0.50 per 1,000** | Full text & HTML, star rating, like, rewatch, date, spoiler flag, likes & comments counts, author and film |

No start fee — you pay only for the rows you get. Control your spend with **Max Reviews per Source**: 1,000 reviews ≈ $0.50 — the lowest price on the Store.

💡 Apify's free plan includes $5 of credit every month — about **10,000 free reviews, every month**.

👉 [**Scrape your first 10,000 reviews free**](https://apify.com/omkar-cloud/letterboxd-reviews-scraper)

### Run It from Code

Grab your API token from [Integrations Settings here](https://console.apify.com/settings/integrations) and replace `<YOUR_API_TOKEN>` below.

**Python** (`pip install apify-client`)

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/letterboxd-reviews-scraper").call(run_input={
    "films": ["tt0816692"],
    "rating": "5",
    "maxReviewsPerSource": 50,
})
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(review["member"]["username"], review["rating"], review["text"][:80])
```

**Node.js** (`npm install apify-client`)

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

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });
const run = await client.actor('omkar-cloud/letterboxd-reviews-scraper').call({
    popularPeriod: 'week',
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### FAQ

**How much does a run cost?** $0.50 per 1,000 reviews, flat on every Apify plan, with no start fee. 100 reviews cost $0.05; 10,000 cost $5.

**Is the data live?** Yes — every run reads Letterboxd live, nothing is cached for days.

**Do I need a Letterboxd account or proxies?** No. Paste slugs, usernames or letterboxd.com URLs and run.

### 💬 Have Questions? We Have Answers.

You're a business owner — we know how hard completing a project can be. So we offer full support: just message us and we'll reply ✅ with a solution within 1 working day.

[![Message Us on WhatsApp](https://raw.githubusercontent.com/omkarcloud/assets/master/images/whatsapp-us.png)](https://api.whatsapp.com/send?phone=918178804274\&text=I%20need%20help%20with%20using%20the%20Letterboxd%20Reviews%20Scraper%20Actor.)
[![Ask Us on Email](https://raw.githubusercontent.com/omkarcloud/assets/master/images/ask-on-email.png)](mailto:happy.to.help@omkar.cloud?subject=Help%20with%20Letterboxd%20Reviews%20Scraper%20Actor\&body=I%20need%20help%20with%20using%20the%20Letterboxd%20Reviews%20Scraper%20Actor.)

You are important to us — just message us and we will solve your problem ✅ within 1 working day. 🩷 Pinky Promise 🤙!

### Related Actors

- 🎬 [**Letterboxd Scraper**](https://apify.com/omkar-cloud/letterboxd-scraper) — films with ratings, cast, crew & posters by search, browse, list or person. $1 per 1,000 films.
- 🎬 [**Letterboxd User Scraper**](https://apify.com/omkar-cloud/letterboxd-user-scraper) — any member's diary, ratings, watched films & watchlist. $1 per 1,000 entries.

### Popular Actors by Omkar Cloud

- [**IMDb Scraper**](https://apify.com/omkar-cloud/imdb-scraper) — IMDb titles: ratings, cast, box office & charts
- [**G2 Product Scraper**](https://apify.com/omkar-cloud/g2-product-scraper) — G2 product details, ratings & AI-found contacts
- [**Website Email Contact Scraper**](https://apify.com/omkar-cloud/website-email-contact-scraper) — emails, phones & socials from any website
- [**AliExpress Product Scraper**](https://apify.com/omkar-cloud/aliexpress-product-scraper) — live product details, SKU variants, stock & shipping
- [**Booking Scraper**](https://apify.com/omkar-cloud/booking-scraper) — Booking.com hotels: prices, ratings, rooms & amenities

👉 [**Scrape your first 10,000 reviews free now**](https://apify.com/omkar-cloud/letterboxd-reviews-scraper)

# Actor input Schema

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

Film slugs, letterboxd.com film URLs, boxd.it links, IMDb IDs (`tt0816692`) or TMDB IDs (`tmdb:157336`).

## `filmSort` (type: `string`):

Order of a film's reviews.

## `rating` (type: `string`):

Only reviews with this star rating.

## `members` (type: `array`):

Letterboxd usernames or profile URLs.

## `memberSort` (type: `string`):

Order of a member's reviews.

## `reviewYear` (type: `integer`):

Only a member's reviews written in this year.

## `popularPeriod` (type: `string`):

The most-liked reviews across Letterboxd for this period.

## `maxReviewsPerSource` (type: `integer`):

Maximum reviews per film, member or popular period. Controls your cost (1,000 reviews ≈ $0.50).

## Actor input object example

```json
{
  "films": [
    "interstellar"
  ],
  "filmSort": "popular",
  "rating": "",
  "members": [
    "kurstboy"
  ],
  "memberSort": "newest",
  "popularPeriod": "",
  "maxReviewsPerSource": 100
}
```

# Actor output Schema

## `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": [
        "interstellar"
    ],
    "maxReviewsPerSource": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("omkar-cloud/letterboxd-reviews-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": ["interstellar"],
    "maxReviewsPerSource": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("omkar-cloud/letterboxd-reviews-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": [
    "interstellar"
  ],
  "maxReviewsPerSource": 100
}' |
apify call omkar-cloud/letterboxd-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,omkar-cloud/letterboxd-reviews-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/jn1cFkeQ89S1srAKk/builds/Qw5szXMWvXa5Em8cW/openapi.json