Go to example tasks

Letterboxd Films Scraper: quick start

Ready-to-run example of Letterboxd Films Scraper. Runs with a small sample input so you can see the output in about a minute, then adjust the input for your own use.

Try for free
Letterboxd Films Scraper
Letterboxd Films Scraperaxiomworks/letterboxd-films-scraper
Title
Year
Rating
Rating Count
+6 fields
Text
Number
Boolean
List
Object

Input

Start URLs
url:https://letterboxd.com/official/list/letterboxds-top-500-films/
Film slugs or URLs
Maximum films:10
Include reviews:true
Review order:popular

Output fields

Title
Year
Rating
Rating Count
Review Count
Genres
Directors
Url
Poster Url
Source Url

How it works

Sign up on Apify or log in

The Letterboxd Films Scraper Actor is ready to run with the inputs already set for "Letterboxd Films Scraper: quick start". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Letterboxd Films Scraper: quick start" task

The Letterboxd Films Scraper Actor will start running based on the input automatically. You can also change all the input fields, like start urls, film slugs or urls, and more, to match your specific use case.

Receive the "Letterboxd Films Scraper: quick start" 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 title, year, rating, 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 Films Scraper: quick start" task via API.

Image

Integrate "Letterboxd Films Scraper: quick start" into your workflow

Connect "Letterboxd Films Scraper: quick start" with 100+ integrations, or run it via API or MCP.

Webhook

Webhook

n8n

n8n

Make

Make

Zapier

Zapier

Airbyte

Airbyte

Keboola

Keboola

IFTTT

IFTTT

Hubspot

Hubspot

GDrive

GDrive

Gmail

Gmail

Apify MCP

Apify MCP

GitHub

GitHub

Slack

Slack

LangChain

LangChain

LlamaIndex

LlamaIndex

Flowise

Flowise

Pinecone

Pinecone

OpenAI

OpenAI

Mastra

Mastra

Clay

Clay