We extract piano specifications, limited edition details, Spirio performance libraries, dealer locations, and artist rosters from Steinway. Delivered as clean JSON, CSV, or Parquet to S3 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 Piano Models objects from steinway.com. All fields typed and schema-versioned.
"model_id": "model-d", "model_name": "Model D", "category": "Grand Piano", "length_cm": 274, "width_cm": 156, "weight_kg": 480, "spirio_compatible": true, "available_finishes": "['Satin Ebony', 'High Polish Ebony']"
| # | model_id | model_name | category | length_cm | width_cm | weight_kg |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Spirio Library objects from steinway.com. All fields typed and schema-versioned.
"track_id": "sp-84921", "title": "Nocturne in E-flat Major, Op. 9, No. 2", "composer": "Frédéric Chopin", "performer": "Lang Lang", "duration_seconds": 274, "genre": "Classical", "spirio_format": "Spirio | r", "video_available": true
| # | track_id | title | composer | performer | duration_seconds | genre |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Steinway Artists objects from steinway.com. All fields typed and schema-versioned.
"artist_id": "art-1049", "full_name": "Martha Argerich", "genre": "Classical", "instrument_preference": "Model D", "country_of_origin": "Argentina", "debut_year": 1957, "website_url": "None", "profile_url": "https://www.steinway.com/artists/martha-argerich"
| # | artist_id | full_name | genre | biography | debut_year | instrument_preference |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dealer Network objects from steinway.com. All fields typed and schema-versioned.
"dealer_id": "dlr-us-ny-01", "dealer_name": "Steinway Hall - New York", "dealer_type": "Flagship Showroom", "city": "New York", "state_province": "NY", "country": "USA", "latitude": 40.7551, "longitude": -73.9845, "services_offered": "['Sales', 'Tuning', 'Restoration']"
| # | dealer_id | dealer_name | dealer_type | address_line_1 | city | state_province |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Limited Editions objects from steinway.com. All fields typed and schema-versioned.
"edition_id": "le-kravitz", "edition_name": "Kravitz Grand", "designer": "Lenny Kravitz", "release_year": 2020, "units_produced": 10, "base_model": "Model B", "materials_used": "['Macassar Ebony', 'Bronze']", "status": "Sold Out"
| # | edition_id | edition_name | designer | release_year | units_produced | base_model |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline handles the high-resolution media, dynamic dealer locators, and paginated Spirio libraries across steinway.com, delivering clean structural data.
Extract length, width, weight, acoustic properties, and material specifications for every grand and upright model.
Scrape the complete Spirio high-resolution playback library, including composers, performers, durations, and recording dates.
Map available veneers, colours, and hardware finishes across standard models and the Crown Jewel collection.
Extract biographies, instrument preferences, and genres for thousands of official Steinway Artists globally.
Bypass geo-ip routing to extract the complete global showroom network, including coordinates and contact details.
Monitor new limited edition drops, designer collaborations, and bespoke piano production runs.
Capture URLs for high-resolution gallery images, 3D model assets, and promotional video content.
Extract region-specific content, language variations, and localised dealer inventory signals.
Run pipelines monthly or quarterly to detect new artist additions, dealer changes, and Spirio track releases.
Brief in. Clean data out.
Select target datasets: piano models, Spirio tracks, artists, or dealers. We map the extraction schema.
We configure Scrapy / Playwright crawlers to handle dynamic content loading and geo-routing on steinway.com.
Schema validation, unit normalisation (cm/inches), and null-rate checks before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or API webhook on agreed cadence.
Steinway.com relies heavily on visual frameworks and geo-location routing. Here is how we ensure consistent extraction.
Steinway routes users to regional subdomains based on IP. We use targeted residential proxies to bypass forced redirects, ensuring we extract the global dealer network and region-specific catalogue variations without missing data.
High-resolution galleries, 3D viewers, and the Spirio library load dynamically via JavaScript. We use Playwright to execute SPA frameworks, trigger lazy-loading, and extract the underlying JSON payloads and media URLs.
Specifications often vary in format (imperial vs metric) depending on the regional site. Our pipeline normalises all lengths, weights, and dimensions into a consistent numeric schema for immediate downstream analysis.
Rather than downloading heavy video and image files, we extract and validate the CDN URLs for all high-resolution assets, allowing your systems to ingest media directly as needed.
We maintain state across pipeline runs. When Steinway adds a new artist or releases a new Spirio track, we detect the delta and deliver only the new or modified records, reducing processing overhead.
Market researchers track product lines, limited edition releases, and material trends within the ultra-premium instrument sector.
Rival acoustic and digital piano manufacturers monitor specifications, feature sets, and artist endorsements to inform product development.
Retail analysts map global showroom distribution, tracking expansion in emerging markets and flagship store locations.
Acousticians and engineers analyse dimension-to-weight ratios and material specifications across the grand piano range.
Agencies track the Steinway Artist roster to monitor industry affiliations, debut years, and genre distributions.
Analysts monitor the growth of the Spirio library to gauge the adoption rate of high-resolution digital playback in acoustic instruments.
"Steinway's digital footprint is a precise reflection of the luxury acoustic market — extracting it requires navigating heavy visual frameworks and geo-routed dealer networks."
Scraping a premium brand site like steinway.com involves dealing with high-resolution media frameworks, dynamic single-page application loading for libraries, and aggressive geo-IP routing. DataFlirt manages the proxy rotation and JavaScript execution, delivering clean, normalised specification data so your team can focus on market analysis.
Everything supported by our steinway.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 orchestrates the crawl while Playwright handles the execution of Steinway's heavy JavaScript frameworks, ensuring complete data capture from lazy-loaded elements.
We route requests through specific geographic nodes to bypass Steinway's IP-based regional redirects, capturing a unified global dataset.
Custom Python pipelines normalise unstructured text and mixed measurement units into clean, typed fields before database insertion.
Data delivered to where your team already works — no new tooling required.
About steinway.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product specifications, artist rosters, and dealer locations is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not attempt to bypass dealer extranet logins or extract proprietary encrypted audio files. Clients should consult legal counsel regarding specific use cases.
Steinway uses IP geolocation to route users. We use targeted residential proxies from specific regions (e.g., US, UK, Germany) to bypass these redirects, allowing us to scrape the exact regional catalogue you require, or map the entire global dealer network.
Yes. We extract the complete metadata for the Spirio and Spirio | r libraries, including track titles, composers, performers, and durations. We do not extract or decrypt the actual proprietary audio files.
Yes. Steinway often displays imperial measurements for the US market and metric for others. Our pipeline parses these strings and normalises them into dedicated numeric fields (e.g., length_cm, weight_kg) for consistent analysis.
Given the slow-moving nature of the luxury piano catalogue, most clients configure weekly or monthly runs to track new Spirio additions, limited edition drops, and dealer network changes.
We extract the direct CDN URLs for all high-resolution imagery and 3D assets. We do not download the physical files, allowing your systems to fetch the media directly using the provided URLs.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of piano specifications or a recurring feed of the global dealer network — we build and manage the pipeline. Tell us your requirements.
