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Spotify Play Count Scraper

Pricing

$3.00 / 1,000 urls

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Spotify Play Count Scraper

Spotify Play Count Scraper

Developed by

Beat Analytics

Beat Analytics

Maintained by Community

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

10

Total users

168

Monthly users

55

Runs succeeded

>99%

Last modified

19 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "urls": [{ "url": "https://open.spotify.com/album/1XkGORuUX2QGOEIL4EbJKm" }] }
9
10# Run the Actor and wait for it to finish
11run = 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("πŸ’Ύ 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# πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start

Spotify 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-client

Other API clients include: