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Playstation Store Scraper
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Playstation Store Scraper

Playstation Store Scraper

epctex/playstation-store-scraper
Try for free

3 days trial then $10.00/month - No credit card required now

Harvest game details from the PlayStation Store effortlessly. Delve deep to pull product info, related items, categories, discounts, and various editions. Navigate the vast Playstation Store's database and highlight top games using any keyword. Experience a comprehensive view of gaming insights.

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    "search": "food game",
9    "startUrls": [
10        "https://store.playstation.com/en-tr/product/EP4389-CUSA17440_00-DCLGAMEEU0000000",
11        "https://store.playstation.com/en-tr/search/game",
12        "https://store.playstation.com/en-tr/concept/10000886",
13        "https://store.playstation.com/en-tr/category/d42c9dc6-5516-4a34-a511-c09894266d98/1",
14    ],
15    "maxItems": 20,
16    "endPage": 1,
17    "extendOutputFunction": "($) => { return {} }",
18    "customMapFunction": "(object) => { return {...object} }",
19    "proxy": { "useApifyProxy": True },
20}
21
22# Run the Actor and wait for it to finish
23run = client.actor("epctex/playstation-store-scraper").call(run_input=run_input)
24
25# Fetch and print Actor results from the run's dataset (if there are any)
26print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
27for item in client.dataset(run["defaultDatasetId"]).iterate_items():
28    print(item)
29
30# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
  • 4 monthly users
  • 1 star
  • 100.0% runs succeeded
  • 8.2 hours response time
  • Created in May 2022
  • Modified 15 minutes ago