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Rotten Extractor

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Rotten Extractor

Rotten Extractor

binhbui/rotten-extractor
Try for free

7 days trial then $20.00/month - No credit card required now

You can extract information about movies and actors that are listed on the Rotten Tomatoes website using this actor. Each movie has different metadata such as Rating, Genre, Box Office, Studio, and Scores. These metadata can be helpful for many data science projects.

You can access the Rotten Extractor programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": [{ "url": "https://www.rottentomatoes.com/browse/movies_in_theaters/ratings:nc_17,pg,pg_13,r~sort:popular" }],
10    "proxyConfiguration": { "useApifyProxy": True },
11    "maxItems": 1000,
12    "extendOutputFunction": "($, item) => { return {} }",
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("binhbui/rotten-extractor").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21    print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Rotten Extractor API in Python

The Apify API client for Python is the official library that allows you to use Rotten Extractor API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 1 monthly user

  • 1 star

  • >99% runs succeeded

  • Created in Aug 2023

  • Modified a year ago