We extract vinyl inventories, digital download metadata, DJ equipment specifications, and label discographies from Juno. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your schedule.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Vinyl Releases objects from juno.co.uk. All fields typed and schema-versioned.
"id": "892341", "artist": "Aphex Twin", "title": "Selected Ambient Works", "label": "Apollo", "catalogue_number": "AMB 3922", "genre": "Techno", "price": 24.99, "stock_status": "In Stock"
| # | id | artist | title | label | catalogue_number | genre |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Digital Downloads objects from juno.co.uk. All fields typed and schema-versioned.
"track_id": "149201", "artist": "Bicep", "track_title": "Glue", "mix_name": "Original Mix", "bpm": 130, "key": "Fm", "length": "04:29", "price_wav": 1.99
| # | track_id | artist | track_title | mix_name | bpm | key |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for DJ Equipment objects from juno.co.uk. All fields typed and schema-versioned.
"sku": "EQ-9921", "brand": "Pioneer DJ", "model": "CDJ-3000", "category": "Media Players", "price": 2149.0, "stock_status": "Out of Stock", "rating": 4.9, "review_count": 142
| # | sku | brand | model | category | price | stock_status |
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Complete list of extractable fields for Charts objects from juno.co.uk. All fields typed and schema-versioned.
"chart_id": "juno_techno_top_100", "date": "2023-10-24", "position": 1, "previous_position": 3, "track_id": "992811", "artist": "Charlotte de Witte", "title": "Overdrive", "weeks_on_chart": 4
| # | chart_id | date | position | previous_position | track_id | artist |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Labels objects from juno.co.uk. All fields typed and schema-versioned.
"label_name": "Warp Records", "country": "UK", "active_years": "1989-present", "total_releases": 842, "top_genres": "['IDM', 'Techno', 'Ambient']", "website_url": "warprecords.com"
| # | label_name | parent_label | country | active_years | total_releases | top_genres |
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Our Juno scraper pulls accurate pricing, track metadata, and hardware specifications across the entire platform, managing UK proxy routing and pagination automatically.
Capture BPM, musical key, track length, mix name, and genre classification for millions of digital downloads.
Monitor stock levels, pre-order dates, repress availability, and pricing for physical records.
Extract technical specs, user ratings, and stock status for DJ controllers, synthesisers, and studio monitors.
Map entire label catalogues, linking parent labels to sub-labels with complete release chronologies.
Track daily and weekly movement on Juno charts across specific genres like House, Techno, and Drum & Bass.
Collect direct URLs to MP3 preview snippets for training datasets or music discovery applications.
Extract distinct price points for physical formats, MP3 320kbps, WAV, and FLAC digital downloads.
Capture pricing in GBP, EUR, or USD using localised residential proxies to match your target market.
Run continuous pipelines that only output records when stock status, price, or chart position changes.
Brief in. Clean data out.
Specify genres, specific labels, artist URLs, or equipment categories. We define the schema to match your requirements.
We deploy Scrapy crawlers with UK residential proxies to handle Juno pagination and rate limits.
We verify BPM accuracy, check for missing preview URLs, and validate price fields before production.
Data arrives in your S3 bucket or PostgreSQL database as clean JSON or CSV on your exact schedule.
Extracting audio metadata and equipment pricing at scale requires handling specific platform quirks. Here is our approach.
Juno genre categories contain thousands of pages. We manage stateful pagination and retry logic to ensure no releases are missed during full catalogue sweeps.
A single release often has 12-inch, 2xLP, CD, and multiple digital formats. We normalise these into structured arrays linked to the parent release ID.
Preview links are sometimes obfuscated within the DOM. We parse the player configuration objects to extract clean, direct MP3 preview URLs.
Vinyl represses sell out in minutes. We run high-frequency polling on specific catalogue numbers to capture exact back-in-stock timestamps.
To prevent IP bans while scraping heavily paginated label pages, we rotate requests through a pool of UK residential proxies with randomised delays.
A&R teams and analysts track label market share, release velocity, and genre trends across the electronic music ecosystem.
Independent record shops monitor Juno pricing and stock levels to optimise their own vinyl retail margins.
Music discovery platforms aggregate BPM, key, and genre metadata to build searchable databases for working DJs.
Retailers track hardware pricing, discounts, and stock availability on DJ controllers and studio gear.
Machine learning teams collect track metadata and preview URLs to train genre classification and BPM detection models.
Archivists and music databases build complete release histories, capturing aliases and cross-label appearances.
"Juno holds the most comprehensive catalogue of electronic music and DJ equipment online. Querying it requires purpose-built infrastructure."
Building a scraper for Juno means handling deeply nested genre categories, volatile vinyl stock statuses, and obfuscated digital audio players. DataFlirt manages the proxy rotation, schema maintenance, and pagination logic so your team can focus on analysing the music metadata.
Everything supported by our juno.co.uk scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy spiders deployed across Kubernetes clusters handle massive concurrency to parse Juno categories rapidly.
Residential proxies ensure requests appear as legitimate UK traffic, avoiding rate limits during deep catalogue extractions.
Automated checks ensure BPM fields are integers, prices are valid floats, and preview URLs return HTTP 200.
Data delivered to where your team already works — no new tooling required.
About juno.co.uk scraping, legality, and pipeline operations.
Ask us directly →Yes. For digital downloads where Juno provides this metadata, we extract the BPM, musical key, and track length into structured fields.
No. We extract the metadata and the URL to the public 1-2 minute MP3 preview snippet. We do not bypass DRM or scrape full-length paid audio files.
For targeted lists of catalogue numbers, we can configure pipelines to poll stock status at sub-hourly intervals, triggering webhooks when items return to stock.
Yes. By routing requests through specific regional proxies (e.g., UK, EU, US), we can capture the localised pricing Juno displays to those regions.
Yes. We can capture daily snapshots of the top 100 charts across all genres, allowing you to build historical performance databases.
Our pipelines use multi-layer selector fallbacks. If a major DOM change occurs, our monitoring stack detects the schema drift, and our engineers update the parsers within hours under our SLA.
20-minute scoping call. Pilot dataset within the week. Production within two. From tracking daily techno charts to monitoring vinyl represses across thousands of labels, we build the infrastructure. Tell us your data requirements.
