We extract office furniture catalogues, dynamic finish configurations, CAD asset links, and dealer networks from Steelcase. Delivered as clean JSON, CSV, or Parquet to S3 or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Catalogue objects from steelcase.com. All fields typed and schema-versioned.
"sku": "436150", "product_name": "Gesture", "category": "Office Chairs", "collection": "Gesture Collection", "base_price": 1395.0, "currency": "USD"
| # | sku | product_name | category | collection | base_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Configurations objects from steelcase.com. All fields typed and schema-versioned.
"config_id": "GST-FRM-BLK-FBR-CGL", "parent_sku": "436150", "finish_category": "Upholstery", "material_name": "Cogent: Connect", "colour_code": "5S26", "price_modifier": 45.0
| # | config_id | parent_sku | finish_category | material_name | colour_code | price_modifier |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for CAD & Assets objects from steelcase.com. All fields typed and schema-versioned.
"asset_id": "CAD-GST-001", "product_sku": "436150", "file_type": "3D Model", "software_format": "Revit", "file_size_mb": 14.2, "download_url": "https://steelcase.com/assets/gesture.rvt"
| # | asset_id | product_sku | file_type | software_format | file_size_mb | download_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dealer Network objects from steelcase.com. All fields typed and schema-versioned.
"dealer_id": "DLR-8492", "name": "Workspace Interiors", "city": "Chicago", "state": "IL", "postal_code": "60601", "country": "USA", "partner_tier": "Platinum"
| # | dealer_id | name | address_line_1 | city | state | postal_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Sustainability objects from steelcase.com. All fields typed and schema-versioned.
"product_sku": "436150", "bifma_level": "Level 3", "recycled_content_pct": 25, "recyclability_pct": 97, "certifications": "['SCS Indoor Advantage Gold', 'Cradle to Cradle Bronze']", "carbon_footprint_kg": 84.5
| # | product_sku | bifma_level | leed_contribution | recycled_content_pct | recyclability_pct | certifications |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Office furniture catalogues are deeply nested. We traverse dynamic configurators, extract CAD assets, and map regional dealer networks using automated browser sessions and reverse-engineered API calls.
Capture names, dimensions, ergonomic specifications, designer credits, and standard pricing across all product families.
Iterate through WebGL configurators to extract every frame, fabric, and caster permutation with associated price modifiers.
Locate and extract direct download links for Revit, AutoCAD, SketchUp, and specification PDFs linked to each product.
Scrape the global dealer locator to build a structured database of authorised partners, contact details, and tier statuses.
Extract BIFMA levels, recycled content percentages, and LEED contribution data for environmental compliance tracking.
Download high-resolution product imagery, environmental lifestyle shots, and specific fabric swatch textures.
Route requests through regional proxies to capture market-specific pricing, availability, and catalogue variations.
Monitor estimated shipping windows and quick-ship program eligibility across different product configurations.
Compare current runs against historical state to deliver only new products, discontinued SKUs, or price changes.
Brief in. Clean data out.
Select specific product categories, regions, or configuration depths. We map the required schema.
We configure Playwright to navigate the Steelcase configurator and Scrapy to handle bulk dealer and asset indexing.
Automated checks ensure price modifiers sum correctly and CAD links return 200 OK statuses.
JSON, CSV, or Parquet pushed directly to your S3 bucket or Snowflake environment on a daily or weekly schedule.
Steelcase relies on heavy JavaScript and 3D rendering to display products. Standard HTTP clients fail here. We use full browser automation to extract the underlying data.
Steelcase product pages load base models and fetch configuration options via complex XHR requests. We use Playwright to execute the JavaScript, wait for the configurator to hydrate, and systematically trigger every UI option to expose hidden price modifiers and SKUs.
Architectural assets are often gated behind modal windows or separate resource libraries. Our crawlers map the relationships between product SKUs and the central asset library, generating clean, direct download URLs for your design teams.
Steelcase alters product availability and pricing based on geographic IP. We route requests through specific residential proxy nodes in North America, Europe, or Asia to ensure you receive the correct regional data.
Pricing calculations often depend on session state and selected dealer contexts. We maintain strict cookie jars during the crawl to ensure the price displayed matches the exact configuration matrix.
Older product lines often use different HTML structures than newly launched collections. We normalise dimensions, materials, and warranty information into a single, predictable schema regardless of the source page layout.
Space planning software providers ingest Steelcase dimensions and CAD links to populate their digital libraries.
Enterprise purchasing teams sync public list prices and configuration options into internal ERP systems.
Rival furniture manufacturers track pricing changes, new material introductions, and warranty terms.
Used office furniture dealers scrape original list prices and specifications to determine resale value.
Industry analysts map the geographic distribution of Steelcase dealers to identify market penetration.
ESG researchers aggregate recycled content and LEED data across enterprise furniture catalogues.
"Steelcase catalogues are deeply nested configuration matrices. Extracting the flat base price is easy; mapping 400 fabric and frame permutations requires a dedicated pipeline."
Most teams fail at scraping enterprise furniture sites because the data is buried in WebGL configurators and dynamic JavaScript states. DataFlirt executes full browser sessions to iterate through finish options, capturing accurate pricing modifiers and CAD asset links without breaking under the payload weight. We handle the infrastructure so you can focus on the data.
Everything supported by our steelcase.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.
Full browser automation handles the heavy JavaScript execution required by the Steelcase 3D product configurator.
Residential IPs allow us to view the catalogue exactly as a user in a specific country would, capturing localised pricing.
Complex dependency graphs ensure we only attempt to scrape configuration matrices after the base product catalogue has been successfully indexed.
Data delivered to where your team already works — no new tooling required.
About steelcase.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our crawlers interact with the Steelcase configurator to expose every available option, mapping the specific price modifiers and SKU suffixes for each choice.
By default, we provide direct download URLs to the Revit, DWG, and PDF assets to save on storage and transfer costs. We can configure the pipeline to download the actual files to an S3 bucket upon request.
We route our scraping traffic through residential proxies located in your target region. This ensures the Steelcase servers return the correct currency and product availability for that specific market.
No. DataFlirt only extracts publicly available data. We do not circumvent authentication walls or use client credentials to scrape gated B2B pricing portals.
Due to the heavy rendering required for configurator data, we typically run full catalogue refreshes on a weekly or monthly cadence. Base product pricing without configuration iteration can be run daily.
Yes. We work with your engineering team during the scoping phase to map the extracted Steelcase fields directly to your internal schema requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually copying dimensions and price modifiers. Let DataFlirt build a managed pipeline to deliver structured Steelcase catalogue data directly to your warehouse.
