Spotify Play Count Scraper
Pricing
$3.00 / 1,000 urls
Spotify Play Count Scraper
Scrape play counts and statistics for Spotify artists, albums, and tracks. Download scraped data as JSON or CSV, run the scraper via API, schedule and monitor runs or integrate with other tools.
0.0 (0)
Pricing
$3.00 / 1,000 urls
12
Total users
190
Monthly users
51
Runs succeeded
>99%
Last modified
11 days ago
You can access the Spotify Play Count 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 = { "urls": [{ "url": "https://open.spotify.com/album/1XkGORuUX2QGOEIL4EbJKm" }] }9
10# Run the Actor and wait for it to finish11run = client.actor("beatanalytics/spotify-play-count-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-startSpotify Play Count Scraper API in Python
The Apify API client for Python is the official library that allows you to use Spotify Play Count Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
