![Mubi Film Scraper avatar](https://images.apifyusercontent.com/3itY2zsU48N12ma7bZRcLwsTBPIGsDdGrSrUgiq4JcQ/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9DbUlBcWZCQ01ZUUtQbklOMi8yQkJENzZHWDJ4QUVhNkNYUS1TY3JlZW5zaG90XzIwMjMtMDYtMjVfYXRfMjIuNDUuMzIucG5n.webp)
Mubi Film Scraper
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View all Actors![Mubi Film Scraper](https://images.apifyusercontent.com/3itY2zsU48N12ma7bZRcLwsTBPIGsDdGrSrUgiq4JcQ/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9DbUlBcWZCQ01ZUUtQbklOMi8yQkJENzZHWDJ4QUVhNkNYUS1TY3JlZW5zaG90XzIwMjMtMDYtMjVfYXRfMjIuNDUuMzIucG5n.webp)
![Mubi Film Scraper](https://images.apifyusercontent.com/3itY2zsU48N12ma7bZRcLwsTBPIGsDdGrSrUgiq4JcQ/rs:fill:92:92/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9DbUlBcWZCQ01ZUUtQbklOMi8yQkJENzZHWDJ4QUVhNkNYUS1TY3JlZW5zaG90XzIwMjMtMDYtMjVfYXRfMjIuNDUuMzIucG5n.webp)
Mubi Film Scraper
mscraper/mubi-list-scraper
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The Mubi List Scraper is a powerful tool built to scrape detailed film data from the Mubi Lists. It can retrieve important film data such as film title, release year, duration, genre, average ratings, director's name, and more.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "startUrls": [{ "url": "https://mubi.com/lists/i-love-sci-fi" }],
9 "proxy": {
10 "useApifyProxy": True,
11 "apifyProxyCountry": "US",
12 },
13 "resultsLimit": 20,
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("mscraper/mubi-list-scraper").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start