Letterboxd Film Pages Scraper

Letterboxd Film Pages Scraper

Scrape Letterboxd film pages by slug or keyword search, up to a million per run. Each film comes with its title, year, director, rating, genres, runtime, and full metadata. No API key required. Export to CSV, JSON, Excel, or XML.

Letterboxd has no public API for film data, so building a movie dataset means manual copying or writing a custom scraper. This Actor reads the public film pages directly, either by exact slug or by keyword search, and returns each match in one flat, predictable schema. You control how many films to collect, and the filters run as each page is read so only complete records land in your dataset.

Who uses it	What they scrape Letterboxd for
Film researchers	Build a catalog of films by director, genre, or year for analysis.
Data journalists	Track rating distributions and trends across filmographies.
Recommendation engine builders	Gather film metadata to seed a movie recommendation model.
Letterboxd power users	Export your watchlist or a director's filmography for offline sorting.

What it does

This Actor collects Letterboxd film pages by slug or keyword search and returns each film as a flat row with its title, year, director, rating, genres, runtime, and metadata.

• 🔍 Lookup by slug: Feed it one or more Letterboxd film slugs (the URL part, like inception or parasite-2019) and get back the full page data for each.
• 🔎 Search by keyword: Type a title, director, or cast name and the Actor runs Letterboxd's own search, then fetches every matching film page up to your maxItems limit.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Letterboxd data

📊 Build a director filmography dataset.

A film researcher enters a director's name as a keyword, sets maxItems to 200, and exports a CSV of every film with its rating, year, and genres to analyze career patterns.

🎯 Track genre rating trends.

A data journalist searches for a genre keyword like 'noir', collects 5,000 films, and plots the average rating by decade to see how audience tastes shifted.

🤖 Seed a movie recommendation engine.

An ML engineer scrapes 100,000 film pages by searching popular keywords, then uses the genres, runtime, and rating fields as features for a collaborative filtering model.

📋 Export a personal watchlist for sorting.

A Letterboxd user copies the slugs from their watchlist URL, pastes them into the Actor, and downloads a spreadsheet to sort by rating, year, or runtime offline.

Why choose this scraper

	What you get
No API needed	Reads public film pages directly, no registration or API key.
Two input modes	Fetch by exact slug for known films, or search by keyword to discover.
Flat, predictable schema	Every film returns the same fields, ready for CSV, JSON, Excel, or XML.
Scalable	Collect up to 1,000,000 films in a single run.

How it compares

This Actor focuses on film page metadata, while the competitors below scrape reviews or combine reviews with film data.

Feature	ParseForge	Letterboxd Film Reviews Scraper	Letterboxd Film Reviews Scraper - Low-cost💲🔥🎬⭐	Letterboxd Movies & Reviews Scraper
Scrapes film page metadata (title, year, director, rating, genres, runtime)	Yes	Not listed	Not listed	Yes
Lookup by film slug	Yes	Not listed	Not listed	Not listed
Keyword search for films	Yes	Not listed	Not listed	Not listed
Scrapes user reviews and ratings	Not listed	Yes	Yes	Yes
Returns flat, predictable schema for every film	Yes	Not listed	Not listed	Not listed
No API key or login required	Yes	Not listed	Not listed	Not listed

Configure the run

Drive the Actor from film slugs, a keyword query, or both, and set a maximum number of films so the run stops when you have enough. The Input tab lists every parameter.

A first run with the defaults:

{
  "maxItems": 10,
  "mode": "lookup",
  "slugs": "inception\nparasite-2019\nthe-godfather\nthe-dark-knight\npulp-fiction\n2001-a-space-odyssey\nthere-will-be-blood\nthe-godfather-part-ii\nspirited-away\nin-the-mood-for-love\ngoodfellas\nfight-club\nthe-shawshank-redemption\nthe-empire-strikes-back\nblade-runner-2049\noppenheimer\nthe-lord-of-the-rings-the-fellowship-of-the-ring\nthe-lord-of-the-rings-the-two-towers\nthe-lord-of-the-rings-the-return-of-the-king",
  "query": "godfather"
}

A larger pull:

{
  "maxItems": 200,
  "mode": "lookup",
  "slugs": "inception\nparasite-2019\nthe-godfather\nthe-dark-knight\npulp-fiction\n2001-a-space-odyssey\nthere-will-be-blood\nthe-godfather-part-ii\nspirited-away\nin-the-mood-for-love\ngoodfellas\nfight-club\nthe-shawshank-redemption\nthe-empire-strikes-back\nblade-runner-2049\noppenheimer\nthe-lord-of-the-rings-the-fellowship-of-the-ring\nthe-lord-of-the-rings-the-two-towers\nthe-lord-of-the-rings-the-return-of-the-king",
  "query": "godfather"
}

Pricing

Pay-per-result: $0.01867 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$1.87
1,000 results	$18.67
10,000 results	$186.70

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Letterboxd Film Pages Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Letterboxd through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/letterboxd-films-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results from a keyword search?

Check that your query is spelled correctly and is not too specific. Try a broader term, like a director's last name instead of a full film title. Also confirm you set maxItems to a number greater than zero.

Why are some slugs returning no data?

The slug may be incorrect or the film page may have moved. Verify the slug by visiting https://letterboxd.com/film/your-slug/ in a browser. If the page loads, the Actor will scrape it.

The run is taking a long time. Is that normal?

Yes, especially for large maxItems values. The Actor respects Letterboxd's servers by spacing out requests. For 10,000 films, expect the run to take a while. You can always lower maxItems for a faster sample.

Why do I get fewer results than my maxItems setting?

The search may have returned fewer total films than your maxItems value. Try a broader keyword or check that you are not hitting the end of the search results.

Can I resume a run if it fails?

Apify automatically retries failed requests. If the whole run fails, check your input for invalid slugs or network issues, then start a new run. The Actor does not support resuming from a specific point.

FAQ

Question	Answer
What is a Letterboxd film slug?	The slug is the last part of a film's URL on Letterboxd. For example, in https://letterboxd.com/film/inception/, the slug is inception. Some slugs include a year to disambiguate, like parasite-2019.
Can I scrape reviews with this Actor?	No, this Actor scrapes the film page itself: title, year, director, rating, genres, runtime, and similar metadata. For reviews, use the Letterboxd Film Reviews Scraper.
How many films can I scrape in one run?	You can set maxItems up to 1,000,000. The Actor stops when it reaches that number or when there are no more results for your search.
Does search mode return the same fields as lookup mode?	Yes. Both modes fetch the full film page and return the same flat schema, so you can mix slugs and keyword searches in separate runs and merge the datasets.
Do I need a Letterboxd account or API key?	No. The Actor reads the public film pages that anyone can view in a browser. No login, no API key, no OAuth.
What export formats are supported?	You can export your dataset as CSV, JSON, Excel, XML, or RSS from the Apify platform.
Can I filter by rating or year inside the Actor?	The Actor collects every film that matches your slugs or search query. To filter by rating or year, export the dataset and sort or filter in your spreadsheet or script.
How does keyword search work?	It sends your query to Letterboxd's own search endpoint, then follows the result links to fetch each film page. The search matches against titles, directors, and cast names.
Is this faster than the Letterboxd API?	Letterboxd does not offer a public API for film data, so this Actor is the fastest way to get structured film data without writing your own scraper.
Can I scrape a list of films from a Letterboxd list URL?	Not directly. This Actor takes slugs or a search keyword. To scrape a list, copy the slugs from the list page and paste them into the slugs field in lookup mode.
What happens if a slug is misspelled?	The Actor will try to fetch the page. If Letterboxd returns a 404, that slug is skipped and the run continues with the next one.

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Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Letterboxd Limited. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.