We extract project portfolios, product specifications, firm intelligence, and high-resolution image metadata from interiordesign.net. 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 Architectural Projects objects from interiordesign.net. All fields typed and schema-versioned.
"project_id": "PRJ-99281", "title": "Minimalist Office HQ", "firm_name": "Gensler", "location": "New York, NY", "category": "Commercial Office", "completion_year": 2025, "square_footage": 45000, "publish_date": "2026-02-14"
| # | project_id | title | firm_name | location | category | completion_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Product Directory objects from interiordesign.net. All fields typed and schema-versioned.
"product_id": "PROD-4412", "name": "Aeron Chair Remastered", "manufacturer": "Herman Miller", "category": "Furniture", "sub_category": "Seating", "materials": "['Mesh', 'Recycled Aluminum', 'Plastic']", "product_url": "https://interiordesign.net/products/aeron-chair"
| # | product_id | name | manufacturer | designer | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Firm Profiles objects from interiordesign.net. All fields typed and schema-versioned.
"firm_id": "FIRM-882", "name": "Perkins&Will", "location": "Chicago, IL", "website": "perkinswill.com", "principal_architects": "['Ralph Johnson', 'Joan Soranno']", "specialties": "['Healthcare', 'Higher Education', 'Corporate']", "staff_size": "1000+"
| # | firm_id | name | location | website | principal_architects | staff_size |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Best of Year Awards objects from interiordesign.net. All fields typed and schema-versioned.
"award_year": 2025, "category": "Hospitality: Boutique Hotel", "winner_name": "The Kyoto Retreat", "project_or_product": "Project", "firm_name": "Kengo Kuma and Associates", "location": "Kyoto, Japan", "commendations": "['Honoree: Aman New York']"
| # | award_year | category | winner_name | project_or_product | firm_name | location |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Industry News objects from interiordesign.net. All fields typed and schema-versioned.
"article_id": "ART-77123", "headline": "Milan Design Week 2026 Preview", "author": "Cindy Allen", "publish_date": "2026-03-10", "category": "Events", "tags": "['Salone del Mobile', 'Milan', 'Furniture']", "featured_image": "https://cdn.interiordesign.net/milan-preview.jpg"
| # | article_id | headline | author | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our interiordesign.net scraper handles complex editorial layouts, infinite scroll galleries, and dynamic React components to deliver structured project and product metadata.
Extract full project specifications including square footage, location, principal designers, and client types from editorial features.
Capture furniture, lighting, and textile specifications including manufacturer details, dimensions, and material compositions.
Bypass thumbnails to extract uncompressed, high-resolution image URLs directly from the underlying CDN.
Scrape principal architects, contact information, website URLs, and historical project portfolios for thousands of design firms.
Compile historical award winners and honorees across all categories, mapping winning projects back to their design firms.
Playwright handles dynamic lazy-loading and React-based image carousels that standard HTTP clients miss.
Extract editorial content, author metadata, publish dates, and tag taxonomies for NLP and trend analysis.
Link products mentioned in articles directly to their manufacturer profiles and project galleries.
Run pipelines daily or weekly to capture new project publications and award announcements automatically.
Brief in. Clean data out.
Provide project categories, product types, or firm directories. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for interiordesign.net.
Schema validation, null-rate checks, image URL verification, and sample records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Editorial sites like interiordesign.net present unique scraping challenges due to inconsistent layouts and heavy media assets. Here is how we engineer around them.
Editorial platforms serve compressed thumbnails to browsers. We parse the frontend application state and CDN parameters to reconstruct and extract the original, uncompressed image URLs required for AI training or mood board applications.
Project images are often hidden behind interactive carousels. We run full Playwright browser sessions to trigger JavaScript events, ensuring every image in a 50-slide gallery is captured and mapped to its caption.
Unlike eCommerce sites, editorial articles lack strict DOM templates. We use multi-layered fallback chains and NLP-assisted parsing to extract structured metadata (like square footage or location) from free-text paragraphs.
Category pages and firm directories rely on infinite scroll. We intercept the underlying XHR/GraphQL requests to paginate through tens of thousands of records efficiently without rendering the full DOM.
Heavy media sites throttle aggressive crawlers. We distribute requests across residential IP pools and throttle concurrency to maintain pipeline stability without triggering WAF blocks.
Design agencies analyse material specifications and colour palettes across thousands of new projects to predict macro trends.
Architecture firms track peer projects, client types, and award wins to benchmark their market position.
Material suppliers and furniture manufacturers extract firm contact details to target architects specifying similar products.
Machine learning teams use high-quality interior images and their associated metadata captions to train diffusion models.
Manufacturers track which specific product lines are being specified in high-end commercial versus residential projects.
Real estate analysts track commercial office completion volumes and square footage metrics published in project features.
"Interiordesign.net holds the definitive visual and metadata record for commercial and residential architecture, but extracting structured data from heavily editorialised layouts requires precise engineering."
Most teams fail at extracting design data because they rely on simple HTTP requests that miss lazy-loaded galleries and high-resolution CDN assets. DataFlirt executes full browser sessions to hydrate React components, map product specifications to project images, and normalise inconsistent editorial schemas into clean, queryable warehouse tables.
Everything supported by our interiordesign.net 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 crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US/UK regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About interiordesign.net scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from interiordesign.net is generally permissible under applicable law. DataFlirt targets only public, non-authenticated project, product, and firm data. We do not circumvent authentication walls for premium magazine content or extract personal user data.
We use Playwright to execute full browser sessions, hydrating the React components that power the image carousels. This ensures we capture all images in a gallery, not just the first few visible in the static HTML.
Yes. We extract all publicly listed contact information from the firm directory profiles, including principal architect names, office locations, website URLs, and listed phone numbers.
By default, we deliver the high-resolution CDN URLs as part of the structured JSON/CSV payload. If required, we can configure the pipeline to download the actual image binaries and sync them directly to your AWS S3 bucket.
Editorial content lacks strict DOM templates. We build multi-layered selector fallback chains and use NLP heuristics to identify and extract key metadata (like square footage or location) from free-text paragraphs when structured tables are absent.
Yes. We can configure a one-off historical extraction pipeline to scrape all past Best of Year award winners and honorees across all categories and years available on the platform.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of design firms or continuous tracking of new commercial projects - we scope, build, and operate the pipeline. Tell us what you need.
