Kworb Scraper: Spotify, iTunes & Apple Music Charts
Pricing
Pay per event
Scrape kworb.net music charts: Spotify daily and weekly Top 200 for 70+ countries with exact streams, peak and days on chart, live iTunes and Apple Music charts, and 3,000 all-time top artists. Export CSV, Excel, JSON, XML. No login or API key needed.
You can access the Kworb Scraper: Spotify, iTunes & Apple Music Charts 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 = {9 "spotifyCountries": [10 "global",11 "us",12 ],13 "itunesCountries": ["us"],14 "appleMusicCountries": ["us"],15 "maxItems": 10,16}17
18# Run the Actor and wait for it to finish19run = client.actor("recordsdata/kworb-music-charts-scraper").call(run_input=run_input)20
21# Fetch and print Actor results from the run's dataset (if there are any)22print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")23for item in client.dataset(run.default_dataset_id).iterate_items():24 print(item)25
26# 📚 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 Kworb Scraper: Spotify, iTunes & Apple Music Charts API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: