Metacritic Scraper - Metascores & User Scores
Pricing
from $2.00 / 1,000 title scrapeds
Scores of any game, movie or TV show on Metacritic by URL, without login: Metascore, critic review split, user score and number of ratings, plus release date, rating, genres, companies and per-platform scores for games. Scheduled runs report score changes. $0.002 per title.
You can access the Metacritic Scraper - Metascores & User Scores programmatically from your own 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 API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "urls": [9 "https://www.metacritic.com/game/elden-ring/",10 "https://www.metacritic.com/movie/oppenheimer/",11 ] }12
13# Run the Actor and wait for it to finish14run = client.actor("aolmo/metacritic-scores").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")18for item in client.dataset(run.default_dataset_id).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Metacritic Scraper - Metascores & User Scores API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: