SoundCloud is home to over 40 million creators and reaches listeners in more than 190 countries. It’s one of the largest platforms for independent music and audio discovery — where trends often emerge before they hit the mainstream.
Our SoundCloud scraper helps you access that momentum. Whether you're analysing music genres, identifying rising artists, or tracking audience signals, we deliver the data that shows what’s moving now — not what already happened.
Our SoundCloud data scraper is a managed service — we handle the extraction for you, so you don’t need to worry about tools, rate limits, or unstable scripts.
You tell us what you need: tracks, profiles, playlists, engagement stats — and we deliver clean, structured data in CSV, Excel, JSON, or any other format you prefer. No setup. Just reliable output for research, analytics, or discovery tools.
Our SoundCloud scraper collects detailed, publicly available data from artist profiles, tracks, and playlists. We extract:
This data is valuable for music research, trend detection, artist scouting, playlist intelligence, or building your own discovery tool.
When you scrape SoundCloud, you get more than just track lists — you access patterns in listener behaviour and creator momentum. We also extract:
These deeper layers help you understand what’s resonating, where it’s growing, and who’s gaining traction.
SoundCloud is one of the world’s largest audio platforms, connecting over 40 million creators with listeners in 190+ countries. Founded in 2007 and based in Berlin, it pioneered a creator-first model, allowing artists to upload, promote, and monetize their work independently.
Unlike traditional streaming services, SoundCloud.com offers a raw view into emerging genres, subcultures, and fan communities. It’s also one of the only platforms where listeners can leave timestamped comments directly on tracks — turning each waveform into a social space. For researchers, labels, and platforms, it’s a goldmine of early-stage insight and audience behaviour.
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Developers
Customers
Pages extracted
Hours saved for our clients
Customized scraping setup for SoundCloud — faster and cheaper than building a solution from scratch.
Data limits (rows): up to 10%
Iterations: up to 3
Custom requirements: Yes
Data lifetime: up-to-date
Data quality checks: Yes
Delivery deadline: 1-2 working days
Output formats: CSV, JSON, XLSX
Delivery options: e-mail
A SoundCloud web scraper lets you monitor what’s trending at the edge of music culture — before it goes mainstream. We collect the data for you, so you can focus on analysing artists, playlists, or genres that are gaining momentum.
Whether you're building a discovery engine, scouting talent, or studying engagement patterns, scraping SoundCloud gives you a direct window into real-time listener behaviour.
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Amazon provides valuable information gathered in one place: products, reviews, ratings, exclusive offers, news, etc. So scraping data from Amazon will help solve the problems of the time-consuming process of extracting data from e-commerce.
The use of sentiment analysis tools in business benefits not only companies but also their customers by allowing them to improve products and services, identify the strengths and weaknesses of competitors' products, and create targeted advertising.
ScrapeIt is a data extraction company that collects structured information from platforms like SoundCloud, as well as from e-commerce, real estate, automotive, job boards, and other directories. We act as your business scraper, delivering only the data you need — no tools, no scraping headaches, just results.
Our SoundCloud scraper helps music tech companies, researchers, curators, and marketers turn public audio data into strategy, insights, and competitive edge.
Yes. Many clients use artist and track data to identify early-stage talent or outreach targets — great for building qualified leads.
Absolutely. We can filter any listing by tag, location, follower count, or engagement level — using our web scraper to target exactly what you need.
You can use it to spot rising artists, track genre trends, or fuel targeted marketing campaigns based on real audience engagement and review activity.
Only if publicly available. When available, this information can be included during the data scraping process.
We export clean, structured data in a file format that fits your workflow — CSV, Excel, JSON, or others.
1. Make a request
You tell us which website(s) to scrape, what data to capture, how often to repeat etc.
2. Analysis
An expert analyzes the specs and proposes a lowest cost solution that fits your budget.
3. Work in progress
We configure, deploy and maintain jobs in our cloud to extract data with highest quality. Then we sample the data and send it to you for review.
4. You check the sample
If you are satisfied with the quality of the dataset sample, we finish the data collection and send you the final result.
Scrapeit Sp. z o.o.
10/208 Legionowa str., 15-099, Bialystok, Poland
NIP: 5423457175
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