Letterboxd Scraper

Letterboxd Scraper by Omkar Cloud gets you 🎯 accurate, 🔍 detailed Letterboxd film data.

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

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

$1 per 1,000 films. And with Apify's free plan you get $5 of credit every month, so your first ~5,000 films 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.

👉 Try Letterboxd Scraper free — your first ~5,000 films are Free.

What can I get

• 🔍 Search 1.2M+ films — by title, with original names, alternative titles & directors
• 📈 Browse like a power user — popular this week, top rated, newest; by genre, decade, country, language or streaming service
• 📋 Lists, collections & filmographies — every film with list position, the owner's rating & notes
• 🎬 Full details — ratings histogram, watches, cast with characters, crew, releases, trailer, IMDb/TMDB IDs & posters

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

Example: A Full Letterboxd Film

{
  "id": 117621,
  "name": "Interstellar",
  "year": 2014,
  "link": "https://letterboxd.com/film/interstellar/",
  "tagline": "Mankind was born on Earth. It was never meant to die here.",
  "runtime_minutes": 169,
  "rating": {
    "average": 4.46,
    "count": 6417677,
    "distribution": [{ "rating": 5.0, "count": 3423044, "percent": 53 }]
  },
  "stats": { "watches": 8418275, "lists": 982118, "likes": 4197837, "top_500_rank": 33 },
  "reviews_count": 1030357,
  "directors": [{ "name": "Christopher Nolan", "link": "https://letterboxd.com/director/christopher-nolan/" }],
  "cast": [
    { "name": "Matthew McConaughey", "character": "Cooper", "link": "https://letterboxd.com/actor/matthew-mcconaughey/" },
    { "name": "Anne Hathaway", "character": "Brand", "link": "https://letterboxd.com/actor/anne-hathaway/" }
  ],
  "releases": [{ "type": "premiere", "date": "2014-10-26", "country": "USA", "certification": "PG-13" }],
  "poster": { "link": "https://a.ltrbxd.com/resized/film-poster/1/1/7/6/2/1/117621-interstellar-0-500-0-750-crop.jpg?v=7ad89e6666" },
  "trailer": { "youtube_id": "LY19rHKAaAg", "link": "https://www.youtube.com/watch?v=LY19rHKAaAg" },
  "external_ids": { "imdb": { "id": "tt0816692" }, "tmdb": { "id": 157336 } },
  "similar_films": [{ "name": "Ad Astra", "year": 2019, "link": "https://letterboxd.com/film/ad-astra-2019/" }]
}

Trimmed for readability.

Get Started with 5,000 Free Films

1. Hit Try for Free Button — the input is pre-filled with a "Dune" search.
2. Enjoy your data 😎.

Pricing

High value, Low price.

What	Price	What you get
Standard films	$1 per 1,000	id, name, year, link, poster, average rating + source context (list position, owner rating & notes)
Detailed films	$3 per 1,000	Everything above + ratings histogram, watches, likes, Top 500 rank, tagline, synopsis, cast with characters, crew by role, studios, countries, languages, releases, themes, trailer, IMDb/TMDB IDs, backdrop & similar films

No start fee — you pay only for the rows you get. Control your spend with Max Films per Source: 1,000 films ≈ $1.

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

👉 Scrape your first 5,000 films free

Run It from Code

Grab your API token from Integrations Settings here and replace <YOUR_API_TOKEN> below.

Python (pip install apify-client)

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("omkar-cloud/letterboxd-scraper").call(run_input={
    "lists": ["official/letterboxds-top-500-films"],
    "scrapeFilmDetails": True,
    "maxResultsPerSource": 10,
})
for film in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(film["position"], film["name"], film["rating"]["average"])

Node.js (npm install apify-client)

import { ApifyClient } from 'apify-client';

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

FAQ

How much does a run cost? $1 per 1,000 films, flat on every Apify plan, with no start fee. 100 films cost $0.10; 10,000 cost $10.

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.

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

Related Actors

• 🎬 Letterboxd Reviews Scraper — full-text reviews by film, member or popularity. $0.50 per 1,000 reviews.
• 🎬 Letterboxd User Scraper — any member's diary, ratings, watched films & watchlist. $1 per 1,000 entries.

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👉 Scrape your first 5,000 films free now