We extract project portfolios, high-resolution image URLs, architect metadata, and material tags from Divisare. 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 Projects objects from divisare.com. All fields typed and schema-versioned.
"project_id": "prj-84921", "title": "House in Kyoto", "architect": "Sanaa", "location": "Kyoto, Japan", "completion_year": 2024, "typology": "Residential", "photographer": "Iwan Baan", "tags": "['concrete', 'minimalism', 'courtyard']"
| # | project_id | title | architect | location | completion_year | typology |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Architects objects from divisare.com. All fields typed and schema-versioned.
"architect_id": "arch-1029", "name": "Tadao Ando", "studio_name": "Tadao Ando Architect & Associates", "location": "Osaka, Japan", "project_count": 47, "website": "http://www.tadao-ando.com", "profile_url": "https://divisare.com/authors/1029-tadao-ando"
| # | architect_id | name | studio_name | location | biography | project_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Images objects from divisare.com. All fields typed and schema-versioned.
"image_id": "img-992144", "project_id": "prj-84921", "image_url_highres": "https://divisare-res.cloudinary.com/images/f_auto,q_auto,w_2000/v1/project_images/992144/exterior.jpg", "photographer": "Iwan Baan", "width": 2000, "height": 1500, "orientation": "landscape"
| # | image_id | project_id | image_url_highres | image_url_thumbnail | caption | photographer |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Albums objects from divisare.com. All fields typed and schema-versioned.
"album_id": "alb-552", "title": "Concrete Brutalism", "curator": "Divisare Editorial", "project_count": 42, "project_ids": "['prj-112', 'prj-443', 'prj-899']", "creation_date": "2025-11-10", "url": "https://divisare.com/albums/552-concrete-brutalism"
| # | album_id | title | curator | description | project_count | project_ids |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Journals objects from divisare.com. All fields typed and schema-versioned.
"article_id": "jnl-88", "title": "The Evolution of Swiss Minimalism", "author": "Maria Rossi", "publish_date": "2026-01-15", "featured_image": "https://divisare-res.cloudinary.com/images/f_auto,q_auto,w_1200/v1/journal/88/cover.jpg", "tagged_architects": "['arch-301', 'arch-405']", "url": "https://divisare.com/journal/88-evolution-swiss-minimalism"
| # | article_id | title | author | publish_date | text_body | featured_image |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Divisare scraper navigates image-heavy project grids, pagination, and dynamic loading to extract complete architectural portfolios, high-resolution media links, and structured metadata.
Title, architect, location, completion year, typology, and text descriptions scraped and mapped to a relational schema.
Extract source URLs for high-resolution project photography, completely bypassing thumbnail limitations and lazy-loaded grids.
Aggregate entire studio portfolios, including contact information, biographies, and historical project timelines.
Capture Divisare's highly curated taxonomy of materials, structural elements, and building typologies for every project.
Extract city, country, and regional data to map architectural trends geographically.
Map thematic collections and albums curated by Divisare editors to understand stylistic groupings.
Isolate and extract architectural photographer attributions linked to specific high-resolution image assets.
Extract full-text articles, interviews, and essays from the Divisare Journal section.
Configure continuous pipelines to monitor new project uploads and track emerging studios automatically.
Brief in. Clean data out.
Provide target typologies, specific architects, or geographic regions. We design the extraction schema together.
We configure Playwright crawlers, handle infinite scroll pagination, and manage media URL extraction rules.
Schema validation, null-rate checks, and image URL resolution tests before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting high-resolution visual data requires specialised handling for infinite scroll, dynamic image loading, and bandwidth management.
Divisare heavily utilises infinite scrolling for project lists and image galleries. Our Playwright instances simulate user scrolling behaviour to trigger XHR requests, ensuring complete extraction of all items in a collection.
We target the underlying CDN endpoints and responsive image sets (srcset) to extract the highest available resolution URLs for architectural photography, rather than scraping compressed thumbnails.
Extracting metadata from image-heavy sites triggers rate limits quickly. We distribute requests across European residential proxy pools to maintain steady throughput without triggering IP bans.
Architectural descriptions often lack rigid formatting. We use advanced parsing to separate project credits, material lists, and narrative text into distinct, queryable JSON fields.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, layout changes, and coverage drops, responding before data quality degrades.
Firms analyse material usage, typologies, and regional styles over time to inform design strategy.
ML teams use structured architectural imagery to train models for building classification, style recognition, and spatial analysis.
Manufacturers track the usage of specific materials like exposed concrete or cross-laminated timber across new projects.
Architectural practices monitor competitor portfolios, publication frequency, and project locations.
Developers study modern typologies and successful residential or commercial designs to guide new investments.
Researchers map architectural interventions and urban development patterns using Divisare's extensive historical archive.
"Divisare hosts the most highly curated architectural archive online, but extracting structured metadata from visual portfolios requires purpose-built pipelines."
Scraping media-heavy sites like Divisare means managing massive payload sizes, complex pagination, and strict rate limits. DataFlirt handles the proxy rotation, JavaScript execution, and data normalisation so your engineers receive clean, structured architectural datasets without the maintenance overhead.
Everything supported by our divisare.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 crawl orchestration and deduplication. Playwright handles JavaScript rendering, infinite scroll interactions, and dynamic image loading.
We maintain pools of residential ISP proxies across EU regions to navigate rate limits on media-heavy endpoints without triggering blocks.
Pipelines run on AWS ECS for sustained loads. Airflow manages scheduling and dependencies, with all state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About divisare.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non-authenticated architectural metadata and public image URLs. We do not extract data behind premium paywalls or violate copyright laws regarding image reproduction. Clients must ensure their use of the extracted data complies with copyright regulations.
No. Our pipelines extract the highest available resolution image URLs and deliver them as structured text. You can then use these URLs to fetch the images directly into your own storage systems.
We deploy Playwright browser instances that programmatically scroll the viewport, wait for XHR responses, and parse the newly loaded DOM nodes until the entire collection is captured.
Yes. We can configure the crawler to traverse the entire public archive by architect, typology, or location, capturing projects dating back to the platform's inception.
No. DataFlirt does not circumvent authentication walls or scrape gated content that requires a paid Divisare subscription.
Our smallest packages start at a defined list of architects or specific typologies with one-off delivery. For continuous monitoring of new projects, we price based on volume and frequency.
Yes. We provide a sample run of up to 100 projects or 5 architect profiles during the scoping process so you can validate schema fit and field completeness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of a specific typology or continuous tracking of new architectural projects, we scope, build, and operate the pipeline. Tell us what you need.
