Pricing

from $3.99 / 1,000 results

🎧 Spotify Scraper

🎧 Spotify Scraper extracts Spotify data fast—track, artist & playlist details—using an automated pipeline. 🚀 Perfect for music analytics, discovery, and building powerful datasets. 📊 Save time, scale insights, and grow smarter.

Pricing

from $3.99 / 1,000 results

Rating

0.0

(0)

Developer

Scrapio

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Automation

Developer tools

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, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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 = {
9    "mode": "urls",
10    "urls": [
11        "https://open.spotify.com/artist/06HL4z0CvFAxyc27GXpf02",
12        "https://open.spotify.com/playlist/37i9dQZF1DXcBWIGoYBM5M",
13    ],
14    "searchTerms": ["arctic monkeys"],
15    "maxResults": 10,
16    "proxyConfiguration": { "useApifyProxy": True },
17}
18
19# Run the Actor and wait for it to finish
20run = client.actor("scrapio/spotify-scraper").call(run_input=run_input)
21
22# Fetch and print Actor results from the run's dataset (if there are any)
23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
24for item in client.dataset(run["defaultDatasetId"]).iterate_items():
25    print(item)
26
27# 📚 Want to learn more 📖? Go to → 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:

🎧 Spotify Scraper API in JavaScript

🎧 Spotify Scraper API through CLI

🎧 Spotify Scraper OpenAPI definition

🎧 Spotify Scraper API

🎧 Spotify Scraper

scraper-engine/spotify-scraper

🎧 Spotify Scraper extracts Spotify artist, track & playlist data fast and reliably. 🚀 Great for music research, data projects, playlists, and analytics—save time with automated scraping. 🔍📊

Scraper Engine

🎧 Spotify Scraper

api-empire/spotify-scraper

🎧 Spotify Scraper pulls track, artist, album & playlist data from Spotify with precision. ⚡ Perfect for music research, analytics, DJs & developers. 🔎 Automate insights, build datasets, and accelerate discovery.

API Empire

Spotify Scraper

fetch_cat/spotify-scraper

Extract public Spotify artist, track, album, playlist, and search metadata into clean datasets for music research, marketing, and monitoring.

Hanna Nosova

Spotify Email Scraper

scrapebase/spotify-email-scraper

ScrapeBase

Free Spotify Artist Analytics

s-r/free-spotify-artist-analytics

Spotify Email Scraper - Advanced, Fast & Cheapest

contacts-api/spotify-email-scraper-fast-advanced-and-cheapest

🎧 Spotify Email Scraper enables you to collect artist, label, and podcast emails from Spotify profiles 🎶 Perfect for music marketing and partnerships 🚀

Lead Heaven

Spotify Playlist Metadata Scraper

nifty.codes/spotify-playlistdetails-scraper

Extract playlist metadata including follower counts, owner details, and cover images from Spotify playlist pages. Powered by Spotify Scraper.

Nifty

SPOTIFY Extractor

jupri/spotify

💫 All-in-One SPOTIFY.COM Scraper

cat

305

1.0

Spotify Scraper

web-scraper/spotify-scraper

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

Web_scraper

293

Spotify Songs Scraper

easyapi/spotify-songs-scraper

Scrape Spotify tracks data by keywords. Extract comprehensive track information including artist details, album info, cover art, duration, and more. Perfect for music data analysis and playlist generation.