🎵 Deezer Scraper

Search Deezer for tracks, artists or albums by keyword and get clean, structured data — title/name, artist, album, duration, rank/popularity, release date, cover image, preview and link. Powered by the public Deezer API, so it's fast and reliable: no browser, no login, no API key.

Built for music research, catalog building, playlist tools and apps. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🔎 What is the Deezer Scraper?

Give it keywords (e.g. "daft punk", "lofi") and it returns matching tracks, artists or albums as structured rows — switch type with one setting. Great for finding music by query and building a clean dataset.

What data does it extract?

• Tracks: title, artist, album, duration, rank, explicit flag, preview, link
• Artists: name, fans, album count, picture, link
• Albums: title, artist, track count, release date, cover, link

⬇️ Input

Field	Type	Description
searchTerms	array	Keywords to search, e.g. daft punk.
searchType	string	track, artist or album.
maxPerTerm	integer	Max results per term. Default 30.

Example input

{
  "searchTerms": ["daft punk"],
  "searchType": "track",
  "maxPerTerm": 50
}

⬆️ Output

One record per track:

{
  "type": "track",
  "id": 3135556,
  "title": "Get Lucky",
  "artist": "Daft Punk",
  "artist_id": 27,
  "album": "Random Access Memories",
  "duration_sec": 369,
  "rank": 856724,
  "explicit": false,
  "preview": "https://cdn-preview.deezer.com/.../preview.mp3",
  "cover": "https://.../cover_xl.jpg",
  "link": "https://www.deezer.com/track/3135556",
  "query": "daft punk"
}

💡 Use cases

• 🎧 Music research — find tracks, artists and albums by query.
• 📊 Catalogs & datasets — build a structured music database.
• 🎛️ Playlist & app tools — enrich titles with metadata and previews.
• 🤖 LLM / app pipelines — feed structured music data into your tools.

❓ FAQ

Do I need an API key or login? No — it uses the public Deezer API.

Tracks, artists and albums? Yes — set searchType.

Do I get a preview? Yes — a preview URL for tracks.

Are cover images included? Yes — high-resolution cover/picture URLs.

How many can I get? Set maxPerTerm — it paginates automatically.

How does pricing work? Pay per result returned. No subscription.

Is it legal? It uses the public Deezer API. Audio/content belongs to rights holders — use responsibly and within Deezer's terms.

⚙️ How it works

The scraper calls the Deezer search API directly and returns clean rows — no browser and no key. It paginates through results, de-duplicating as it goes, and normalizes each track, artist or album into consistent fields. Runs are fast and dependable, which is why the actor keeps passing its daily health check. The same input shape works for a quick top-10 or a deep multi-term sweep — only maxPerTerm changes.

👥 Who uses music data?

Music data is valuable to app developers, marketers, researchers and creators. A developer enriches a playlist app with metadata and previews; a marketer studies what's popular in a genre; a researcher builds a music dataset; a creator finds reference tracks. Because every record is plain JSON with consistent fields, it drops straight into a spreadsheet, database, BI tool or LLM pipeline with no custom parsing.

📤 Export, schedule & integrate

Every run is saved to a dataset you can export to JSON, CSV, Excel, XML or RSS, or pull through the Apify API. Wire it into Make, Zapier, n8n, Google Sheets, Slack or your own database, run it on a schedule to keep your data fresh, and call it from AI agents through the Apify MCP server.

💡 Tips for best results

• Search an artist name with searchType: album to map a discography.
• Use rank to sort tracks by popularity in your spreadsheet.
• Combine several queries in one run to build a genre dataset.
• Schedule runs to track new releases for an artist.

❓ More FAQ

How fresh is the data? It is fetched live on each run.

Can I run it automatically? Yes — use Apify Schedules (cron).

Which export formats? JSON, CSV, Excel, XML and RSS, plus the Apify API.

Can AI agents use it? Yes — via the Apify API and MCP server.

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