Steam Store Scraper
Pricing
Pay per usage
Steam Store Scraper
Steam Store Scraper crawls the Steam front page and extracts data from individual Steam Store pages. The extracted data is stored in a dataset, from where you can extract it in various formats, such as JSON, XML, CSV, and Excel.
0.0 (0)
Pricing
Pay per usage
5
Total users
290
Monthly users
9
Runs succeeded
>99%
Last modified
a year ago
You can access the Steam Store Scraper 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 Integrations settings 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 = {}9
10# Run the Actor and wait for it to finish11run = client.actor("m0uka/steam-store-scraper").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startSteam Store Scraper API in Python
The Apify API client for Python is the official library that allows you to use Steam Store Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
