First off, huge congratulations are in order for the team at Anna’s Archive for their massive release this week. Preserving 300TB of music history and creating the world’s largest open music metadata database is no small engineering feat. It’s a win for preservationists everywhere.
Seeing their work got us thinking about how different organizations approach data extraction. While Anna’s Archive likely had to reverse-engineer private APIs and handle massive backend logistical challenges, we wanted to show how DeepWalker tackles complex platforms like Spotify from a completely different angle: the user interface.
We decided to take DeepWalker for a spin to see how it handles a session on Spotify.
The Mozart Test
If you look at the video below, you’ll see DeepWalker doing its thi…
First off, huge congratulations are in order for the team at Anna’s Archive for their massive release this week. Preserving 300TB of music history and creating the world’s largest open music metadata database is no small engineering feat. It’s a win for preservationists everywhere.
Seeing their work got us thinking about how different organizations approach data extraction. While Anna’s Archive likely had to reverse-engineer private APIs and handle massive backend logistical challenges, we wanted to show how DeepWalker tackles complex platforms like Spotify from a completely different angle: the user interface.
We decided to take DeepWalker for a spin to see how it handles a session on Spotify.
The Mozart Test
If you look at the video below, you’ll see DeepWalker doing its thing. It isn’t just pinging a server; it’s actually navigating the web player. It logs in, handles the dynamic content loading, scrolls through playlists, and interacts with the media controls just like a human user would.
We tasked it with finding and capturing a sample of Mozart’s Requiem.
The result? A crystal clear capture. We didn’t need to decompile an app or hunt for hidden API keys. We just told DeepWalker what to look for. Listen to the sample capture below:
Audio Capture
Mozart Requiem Sample
Why DeepWalker is Different
Most scrapers break the second a website updates its code or throws up a complex "Are you a human?" challenge. They are brittle scripts trying to mimic API calls.
DeepWalker is a browser automation agent. It doesn’t just "scrape"; it reads and interacts.
- Visual NavigationIt understands the DOM and visual layout, meaning it can click buttons, scrub through tracks, and manage playlists dynamically.
- StealthBecause DeepWalker operates a real browser instance with human-like interactions, it bypasses standard bot detection methods that usually flag high-volume scraping.
- High-Fidelity CaptureAs shown with the Mozart sample, DeepWalker can extract media and data exactly as it is rendered to the end-user.
Stop Fighting the Anti-Bots
Whether you are training a model, building a dataset, or monitoring media assets, you shouldn’t have to spend your engineering hours playing cat-and-mouse with anti-scraping measures.
The Anna’s Archive release proves that the data is out there if you have the engineering resources to reverse-engineer an entire platform. But for businesses that just need reliable, scalable access to complex web data right now, there is DeepWalker.
We make the hard scraping jobs look easy.
Need to see it on your target site?
Contact our Sales Team and let’s set up a demo.