We extract project showcases, firm directories, material specifications, and WAN Awards history. 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 worldarchitecturenews.com. All fields typed and schema-versioned.
"project_id": "PRJ-84921", "title": "Oasia Hotel Downtown", "location": "Singapore", "completion_year": 2016, "lead_architect": "WOHA", "category": "Hospitality"
| # | project_id | title | location | category | completion_year | gross_built_area |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Firms objects from worldarchitecturenews.com. All fields typed and schema-versioned.
"firm_id": "FRM-1029", "name": "Zaha Hadid Architects", "hq_location": "London, UK", "project_count": 142, "awards_won": 38, "website": "zaha-hadid.com"
| # | firm_id | name | hq_location | founded_year | website | key_people |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for WAN Awards objects from worldarchitecturenews.com. All fields typed and schema-versioned.
"award_year": 2023, "category": "Future Projects: Commercial", "status": "Winner", "project_name": "The Spiral", "firm_name": "BIG", "submission_date": "2023-04-12"
| # | award_year | category | status | project_name | firm_name | judges_comments |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for News & Articles objects from worldarchitecturenews.com. All fields typed and schema-versioned.
"article_id": "ART-59211", "headline": "Timber construction scales new heights in Oslo", "author": "Sarah Jenkins", "publish_date": "2024-01-15", "topics": "['Sustainability', 'Timber', 'Norway']", "word_count": 845
| # | article_id | headline | author | publish_date | topics | word_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Materials & Specs objects from worldarchitecturenews.com. All fields typed and schema-versioned.
"project_id": "PRJ-84921", "material_type": "Facade Mesh", "manufacturer": "Expanded Metal Company", "application_area": "Exterior Cladding", "sustainability_cert": "LEED Platinum", "product_name": "Aluminium Mesh Series 400"
| # | project_id | material_type | manufacturer | product_name | application_area | sustainability_cert |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our scrapers handle unstructured editorial content, JavaScript-rendered galleries, and historical archives. We deliver clean, normalised data from decades of architectural publishing.
Extract structured metadata from editorial text. We capture gross built area, completion dates, client names, and lead architects from unstructured paragraphs.
Map the global architectural landscape. We extract firm profiles, headquarters locations, key personnel, and historical project portfolios.
Track winners, shortlists, and highly commended entries across all categories and years. Link award records directly to project and firm entities.
Bypass lazy-loaded gallery scripts to extract original, uncompressed image URLs for project photography and architectural renders.
Identify specified products, manufacturers, and application areas mentioned in project descriptions and technical spec sheets.
Extract and standardise project locations into queryable city, region, and country fields for mapping and regional analysis.
Isolate mentions of LEED, BREEAM, WELL, and Passivhaus certifications across the entire project catalogue.
Navigate historical pagination and legacy URL structures to extract articles and interviews dating back to the site's inception.
Run daily pipelines to capture newly published projects, latest award announcements, and breaking industry news without re-scraping the archive.
Brief in. Clean data out.
Provide categories, date ranges, or specific firm lists. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and parsing logic for worldarchitecturenews.com.
Schema validation, null-rate checks, image URL verification, and sample datasets before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Publishing platforms evolve over decades. Here is how we extract structured data from changing editorial templates and legacy formats.
Articles from 2008 use different HTML structures than articles from 2024. We deploy versioned fallback selectors to ensure historical data parses as cleanly as today's front page.
Project details are often buried in editorial paragraphs rather than neat tables. We use regex and NLP models to extract square footage, completion years, and material specs from raw text.
High-resolution project images are hidden behind JavaScript carousels and lazy-loading scripts. We use Playwright to execute page state and extract the underlying source URLs.
Editorial inconsistencies mean 'Zaha Hadid Architects' might appear as 'ZHA' or 'Zaha Hadid'. We standardise entity names to ensure accurate relational mapping between awards, projects, and firms.
Publisher sites lack the infrastructure of hyperscalers. We calibrate concurrency limits and request delays to extract full archives without degrading the target server's performance.
Supplier sales teams track newly announced projects and lead architects to pitch materials early in the specification phase.
Consultancies analyse geographic project density, sector growth, and sustainability adoption trends across global regions.
Architecture practices monitor rival firms' portfolios, award shortlists, and client acquisition patterns.
Urban planning researchers compile historical datasets on building typologies, material usage, and density metrics.
Investment trusts correlate high-profile architectural developments with regional property value appreciation.
Machine learning teams ingest tagged, high-resolution architectural photography to train domain-specific generative models.
"Worldarchitecturenews holds two decades of global design evolution, but extracting clean specifications from editorial features requires dedicated pipeline infrastructure."
Most teams underestimate the investment required: reliable architectural data extraction requires handling heavily fragmented article templates, JavaScript-rendered image galleries, and unstructured specification text. DataFlirt absorbs that complexity so your engineers can focus on analysis.
Everything supported by our worldarchitecturenews.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
Custom Python middleware applies regex patterns and lightweight NLP to extract structured key-value pairs from unstructured editorial paragraphs.
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 worldarchitecturenews.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We extract the direct URLs to the highest resolution image assets available on the server, bypassing thumbnail compression and lazy-loading scripts.
Our pipelines use multi-tiered selector fallbacks. If a modern CSS selector fails on a 2012 article, the pipeline automatically falls back to legacy DOM patterns or raw text extraction.
Yes. We can configure targeted pipelines to monitor specific firm names, extracting any new project mentions, award shortlists, or editorial coverage as soon as it is published.
Yes. We extract the complete public history of the WAN Awards, including categories, winners, shortlisted projects, firm names, and published judges' comments.
For news and new project announcements, we typically run daily or hourly pipelines. Full historical archive sweeps are usually executed as one-off bulk exports.
Yes. We deploy custom text-processing rules to identify and extract mentions of specific materials, manufacturers, and sustainability certifications embedded within project descriptions.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a historical archive dump or a continuous feed of new project announcements - we scope, build, and operate the pipeline. Tell us what you need.
