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Letterboxd example run

A ready-to-run example for Letterboxd Scraper — Films, Reviews, Ratings & Lists. It starts with a small working input; change mode, startUrls, maxItems to your own values and run. Results come as JSON, CSV or Excel, and you pay only for the results you get.

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Letterboxd Scraper — Films, Reviews, Ratings & Lists
Letterboxd Scraper — Films, Reviews, Ratings & Liststortuga/letterboxd-scraper
Film
Year
Stars
Review
+14 fields
Text
Number
Boolean
List
Object

Input

Mode:reviews
Start URLs
url:https://letterboxd.com/film/parasite-2019/
Max items (total):24

Output fields

Film
Year
Stars
Review
Watched
Published
Likes
Comments
Liked film
Rewatch
Spoilers
Lang
Reviewer
Username
Reviewer profile
Review ID
Link
Change

How it works

Sign up on Apify or log in

The Letterboxd Scraper — Films, Reviews, Ratings & Lists Actor is ready to run with the inputs already set for "Letterboxd example run". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Letterboxd example run" task

The Letterboxd Scraper — Films, Reviews, Ratings & Lists Actor will start running based on the input automatically. You can also change all the input fields, like mode, start urls, and more, to match your specific use case.

Receive the "Letterboxd example run" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as film, year, stars, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Letterboxd example run" task via API.

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Integrate "Letterboxd example run" into your workflow

Connect "Letterboxd example run" with 100+ integrations, or run it via API or MCP.

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