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Spotify Scraper

Under maintenance

Pricing

Pay per usage

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Spotify Scraper

Spotify Scraper

Under maintenance

Developed by

Web_scraper

Web_scraper

Maintained by Community

Extracts detailed data from any Spotify track, album, or artist URL. Returns play counts, metadata, top tracks, and moreโ€”perfect for music analysis or automation. No API key needed. Just input a Spotify URL and get structured results.

0.0 (0)

Pricing

Pay per usage

0

Total users

6

Monthly users

6

Runs succeeded

94%

Last modified

6 days ago

You can access the Spotify 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, youโ€™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 = { "url": "https://open.spotify.com/artist/7Ln80lUS6He07XvHI8qqHH" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("web-scraper/spotify-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("๐Ÿ’พ 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# ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start

Spotify Scraper API in Python

The Apify API client for Python is the official library that allows you to use Spotify Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include: