We extract synthesizer specifications, polyphony details, firmware archives, and dealer networks from Korg. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Specs objects from korg.com. All fields typed and schema-versioned.
"model_name": "Minilogue XD", "category": "Synthesizers", "sound_engine": "Hybrid Analogue/Digital", "polyphony": 4, "keyboard_type": "37-key Slim", "weight": "2.8 kg", "current_status": "Active"
| # | model_name | category | sub_category | sound_engine | polyphony | keyboard_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Firmware & Downloads objects from korg.com. All fields typed and schema-versioned.
"model_name": "Wavestate", "file_type": "System Updater", "os_version": "v3.1.2", "release_date": "2025-08-14", "file_size": "45.2 MB", "supported_os": "macOS 14, Windows 11", "region": "Global"
| # | model_name | file_type | os_version | release_date | file_size | download_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dealer Network objects from korg.com. All fields typed and schema-versioned.
"store_name": "Thomann", "country": "Germany", "address": "Treppendorf 30, 96138 Burgebrach", "phone": "+49 9546 9223-0", "coordinates_lat": 49.8025, "coordinates_lon": 10.6033, "dealer_type": "Authorised Retailer"
| # | store_name | region | country | address | phone | website |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Artist Endorsements objects from korg.com. All fields typed and schema-versioned.
"artist_name": "Jordan Rudess", "genre": "Progressive Rock", "associated_acts": "['Dream Theater', 'Liquid Tension Experiment']", "gear_used": "['Kronos', 'Nautilus', 'Karma']", "region": "US", "bio_snippet": "Keyboardist for Dream Theater and long-time Korg user."
| # | artist_name | genre | associated_acts | gear_used | profile_url | bio_snippet |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Software Instruments objects from korg.com. All fields typed and schema-versioned.
"plugin_name": "Korg Collection 4", "format_vst": true, "format_au": true, "format_aax": true, "mac_req": "macOS 11 or later", "trial_available": true
| # | plugin_name | format_vst | format_au | format_aax | mac_req | win_req |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline handles Korg's complex specification tables, regional site variations, and firmware download archives. We normalise technical specifications into queryable data.
Parse highly variable HTML tables to extract polyphony, sound engines, and dimensions into strict JSON schemas.
Monitor new OS updates, driver releases, and manual PDFs across all product categories.
Extract data from korg.com, korg.co.uk, and korg.co.jp to capture region-specific product availability.
Execute JavaScript to bypass SPA locators and extract comprehensive global dealer coordinates and contact details.
Map endorsed artists to the specific Korg gear they use, including bio snippets and social links.
Track plugin formats, operating system requirements, and update histories for Korg Software products.
Scrape discontinued product specifications and historical manuals from Korg's legacy support pages.
Maintain a hash index of specifications. Only push updates when a product page or firmware file changes.
Push clean records directly to your warehouse or S3 bucket on a weekly or monthly cadence.
Brief in. Clean data out.
Specify target regions, product categories, or dealer locations. We map the extraction schema.
We deploy Scrapy and Playwright to navigate Korg's site structure and parse complex spec tables.
Schema validation ensures polyphony counts and dimensions map to consistent data types.
JSON, CSV, or Parquet delivered to your S3 bucket or Snowflake instance on schedule.
Extracting data from hardware manufacturers requires parsing legacy HTML, handling undocumented region redirects, and executing complex dealer locators.
Korg's product pages span decades of web design. We use heuristic parsers to map variable table structures into a unified schema, ensuring 'Polyphony' always maps to an integer regardless of how the HTML is formatted.
The dealer network is hidden behind a JavaScript-heavy map interface. We use Playwright to simulate geographic queries and intercept the underlying API responses to extract clean JSON records.
Korg attempts to redirect users based on IP address. We use region-specific residential proxies to bypass these redirects and scrape the exact locale you require.
We monitor the support subdomains to detect new PDF manuals, system updaters, and USB drivers, capturing file sizes and release notes without downloading the binary payloads.
We deploy multi-layered CSS and XPath fallback chains. If Korg updates their site template, our extractors fall back to alternative DOM patterns to prevent pipeline failure.
Musical instrument retailers automate the ingestion of Korg product specifications, dimensions, and images directly into their e-commerce platforms.
Synthesizer databases and forums populate their archives with accurate polyphony, filter types, and historical release dates.
Hardware manufacturers monitor Korg's product release cadence, feature sets, and pricing strategies across different global markets.
IT teams and studio managers receive automated webhooks when critical system updaters or drivers are released for their deployed hardware.
Used gear marketplaces cross-reference Korg's official specifications and MSRP data to categorise and price second-hand listings.
Distributors analyse Korg's retail network density to identify underserved geographic regions for new store placements.
"Korg's historical product archive contains decades of synthesizer specifications, but the data is locked in unstructured tables and legacy formats."
Extracting instrument data requires parsing highly variable specification formats across different product generations. DataFlirt normalises polyphony counts, sound engine details, and firmware links into a strict schema, eliminating manual data entry for retailers and gear databases.
Everything supported by our korg.com 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 handles crawling logic and deduplication. Playwright executes JavaScript for dealer maps and dynamic galleries.
Residential IPs bypass Korg's geographic redirects, ensuring accurate data extraction for targeted regional markets.
Airflow schedules extraction runs on AWS ECS, ensuring consistent delivery cadences and SLA compliance.
Data delivered to where your team already works — no new tooling required.
About korg.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We scrape Korg's legacy support archives to retrieve specifications, release years, and manual PDFs for discontinued synthesizers and hardware.
We use targeted residential proxies to route requests through specific countries, bypassing Korg's automatic IP-based redirects to scrape korg.com, korg.co.uk, or korg.co.jp accurately.
Yes. We configure change-detection pipelines that monitor Korg's support pages. When a new OS version or driver is detected, we push a webhook or API notification immediately.
Yes. Korg's HTML formatting varies wildly between product generations. Our heuristic parsers map these disparate tables into a unified JSON schema, ensuring fields like polyphony and dimensions are strictly typed.
We execute the JavaScript required by Korg's SPA dealer locators, iterating through geographic coordinates to extract the complete global list of authorised retailers and distributors.
Yes. We scrape plugin requirements, supported formats (VST, AU, AAX), and update histories for all Korg Software products.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually copying synthesizer specifications. We build and maintain the extraction pipeline so you get clean, queryable data delivered on your schedule.
