Pricing

Pay per event

Kworb LATAM Spotify Daily & Weekly Charts Scraper

Scrapes daily and weekly Spotify charts for 7 LATAM countries (BR, MX, AR, CL, CO, PE, UY) from kworb.net. Returns ranked tracks with stream counts, peak positions, days on chart, and Spotify track IDs.

Pricing

Pay per event

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Social media

You can access the Kworb LATAM Spotify Daily & Weekly Charts 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    "sp_intended_usage": "Describe your intended use...",
10    "sp_improvement_suggestions": "Share your suggestions here...",
11    "sp_contact": "Share your email here...",
12    "countryCodes": [
13        "BR",
14        "MX",
15    ],
16    "chartTypes": ["daily"],
17    "maxItems": 10,
18}
19
20# Run the Actor and wait for it to finish
21run = client.actor("jungle_synthesizer/kworb-latam-spotify-daily-charts-scraper").call(run_input=run_input)
22
23# Fetch and print Actor results from the run's dataset (if there are any)
24print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
25for item in client.dataset(run["defaultDatasetId"]).iterate_items():
26    print(item)
27
28# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Kworb LATAM Spotify Daily & Weekly Charts Scraper API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include:

Kworb LATAM Spotify Daily & Weekly Charts Scraper API in JavaScript

Kworb LATAM Spotify Daily & Weekly Charts Scraper API through CLI

Kworb LATAM Spotify Daily & Weekly Charts Scraper OpenAPI definition

Kworb LATAM Spotify Daily & Weekly Charts Scraper API

Free Spotify Charts Tracker

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cat

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scrapearchitect/spotify-tracks-scraper-basic-mode

🎤 Unlock the power of Spotify 🎧 with our Spotify Tracks Scraper! 🚀 Easily extract detailed track info 📊 from Spotify using keywords 🔍 or direct track URLs 🌐. Get rich data like track titles 🎵, artists 👩‍🎤, release dates 📅, duration ⏱️, popularity 🌟, available markets 🌍, and more!

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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

273