Pricing

Pay per event

Letterboxd Film Ratings & Reviews Scraper

Extract film ratings, review counts, and metadata from Letterboxd. Provide film slugs (e.g. parasite-2019) and get: Letterboxd rating, total ratings, review count, genres, directors, IMDb/TMDb IDs, runtime, countries, and languages. Built for film-recommendation engines and audience research.

Pricing

Pay per event

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

5 days ago

Last modified

What you get

For each film slug you provide, the actor returns one record:

Field	Description
`film_slug`	Letterboxd URL slug (e.g. `parasite-2019`)
`title`	Film title
`release_year`	Year of release
`director`	Comma-separated list of directors
`letterboxd_rating`	Aggregate rating on a 0–5 scale
`rating_count`	Total number of ratings cast
`review_count`	Total number of written reviews
`runtime_minutes`	Runtime in minutes
`genres`	Comma-separated genres (e.g. `Thriller, Drama`)
`countries`	Countries of origin
`languages`	Spoken languages
`tmdb_id`	The Movie Database (TMDb) numeric ID
`imdb_id`	IMDb title ID (e.g. `tt6751668`)
`letterboxd_url`	Full Letterboxd URL for the film page

How to find a film slug

The slug is the last path segment in a Letterboxd film URL:

https://letterboxd.com/film/parasite-2019/
                             ^^^^^^^^^^^^
                             slug = parasite-2019

Go to any film page on Letterboxd and copy the segment after /film/.

Input

Parameter	Type	Description
`filmSlugs`	array	Required. List of Letterboxd film slugs to scrape
`maxItems`	integer	Maximum records to collect (0 = no limit)

Example input

{
  "filmSlugs": [
    "parasite-2019",
    "the-dark-knight",
    "inception",
    "spirited-away",
    "pulp-fiction"
  ],
  "maxItems": 10
}

Performance

Processes roughly 30–60 films per minute at default concurrency
No proxy required — Letterboxd serves film pages publicly
Lightweight cheerio-based parsing; low memory and compute cost

Data source

All data is extracted from Letterboxd film pages (letterboxd.com/film/<slug>/), primarily from embedded JSON-LD structured data with DOM fallbacks for runtime and external ID links.

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