We extract project metadata, critical essays, practice profiles, and building typologies from Architectural Review. 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 & Buildings objects from architecturalreview.com. All fields typed and schema-versioned.
"project_id": "PRJ-84921", "title": "National Library Addition", "architect": "Studio XYZ", "location": "London, UK", "completion_year": 2024, "typology": "Civic & Public", "area_sqm": 4500
| # | project_id | title | architect | location | completion_year | typology |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Practices & Architects objects from architecturalreview.com. All fields typed and schema-versioned.
"practice_id": "PRC-1094", "name": "Oppenheim Architecture", "founded_year": 1999, "hq_location": "Miami, USA", "founders": "['Chad Oppenheim']", "website": "oppenoffice.com"
| # | practice_id | name | founded_year | founders | hq_location | website |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Essays & Criticism objects from architecturalreview.com. All fields typed and schema-versioned.
"article_id": "ART-59201", "title": "The Death of the Open Plan", "author": "Jane Doe", "publish_date": "2025-11-14", "category": "Typology", "tags": "['Office', 'Interior', 'Post-pandemic']"
| # | article_id | title | author | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for AR Emerging Awards objects from architecturalreview.com. All fields typed and schema-versioned.
"award_year": 2025, "category": "Highly Commended", "winner_name": "Atelier ABC", "practice": "Atelier ABC", "project": "Community Center", "location": "Bogota, Colombia"
| # | award_year | category | winner_name | practice | project | location |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Images & Plans objects from architecturalreview.com. All fields typed and schema-versioned.
"image_id": "IMG-99382", "project_id": "PRJ-84921", "image_type": "Floor Plan", "caption": "Ground floor layout showing public access routes", "photographer": "Studio XYZ", "resolution": "2400x1800"
| # | image_id | project_id | image_type | caption | photographer | resolution |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Architectural Review contains decades of critical writing and project data. We structure this catalogue into relational datasets, handling paywalls, image galleries, and unstructured text.
Capture title, architect, location, completion year, typology, materials, and area metrics for every featured building.
Extract studio histories, founder details, headquarter locations, and linked project portfolios.
Map projects and essays to specific building typologies like residential, civic, cultural, and commercial.
Extract captions, photographer credits, and image types for photographs, renders, and floor plans.
Scrape article titles, authors, publication dates, categories, and tags across the editorial archive.
Traverse decades of digitised content to build a comprehensive index of architectural history.
Normalise project and practice locations into queryable city, region, and country fields.
Track winners, highly commended entries, and citations for the AR Emerging Architecture awards.
Run continuous pipelines to capture new project publications and essays as they go live.
Brief in. Clean data out.
Provide target categories, typologies, or date ranges. We design the extraction schema together.
We configure Scrapy crawlers, session management for gated content, and text-parsing logic.
Schema validation, null-rate checks, and entity normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Extracting structured data from a magazine requires specific parsing strategies. Here is how we maintain data quality.
Architectural Review operates a strict paywall. For clients with valid subscriptions, we manage authenticated sessions using secure cookie injection and token refresh logic to access full article text and high-resolution galleries.
Project metrics like cost, area, and materials are often embedded in narrative paragraphs rather than neat tables. We use custom regex pipelines and NLP classification to extract and normalise these values into structured columns.
A single architecture practice might be referenced in multiple ways across different decades of publication. We normalise practice names and build relational links between essays, projects, and the architects who designed them.
Projects feature extensive image galleries with lazy-loaded content. We use Playwright to trigger gallery interactions, ensuring we capture metadata for every floor plan, section, and photograph without missing hidden items.
The site contains articles published over many years, resulting in inconsistent DOM structures. We deploy multi-layered fallback selectors to ensure data extraction succeeds regardless of the specific template used for an article.
Suppliers and researchers track the frequency of specific materials in published projects to forecast construction trends.
Firms analyse competitor portfolios, award histories, and media coverage to inform business development strategies.
Universities process decades of architectural criticism to train language models and study shifts in architectural discourse.
Researchers map the geographic distribution of specific typologies to analyse urban development patterns over time.
Organisations monitor the AR Emerging awards to identify rising talent and potential acquisition targets.
Developers extract area metrics and programmatic details from published projects to benchmark new proposals.
"Architectural Review holds a century of built environment history, but extracting structured data from critical essays requires a purpose-built pipeline."
Most teams underestimate the complexity of parsing unstructured architectural criticism into relational data. We build pipelines that map essays to specific practices, projects, and geographic coordinates. DataFlirt manages the extraction infrastructure so your researchers can focus on analysis.
Everything supported by our architecturalreview.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.
We maintain pools of residential ISP proxies across UK and EU regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda and ECS. 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 architecturalreview.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available metadata is generally permissible. DataFlirt targets non-authenticated project data and essay metadata. Accessing full article text requires a valid client subscription. We do not circumvent authentication walls or violate copyright law. Clients should review publisher Terms of Service.
If your use case requires full text extraction of gated essays, you must provide valid subscription credentials. We configure our crawlers to authenticate securely and maintain session cookies during the extraction run.
Our standard pipelines extract image metadata, captions, and source URLs. We can configure direct image downloads to your S3 bucket upon request, provided it aligns with fair use and publisher terms.
Yes. We can traverse the site architecture to index historical issues and legacy projects, normalising the data into a consistent schema despite changes in editorial formatting over time.
Pipelines can be configured for daily or weekly runs to capture newly published projects, awards, and critical essays as they appear on the site.
Our smallest packages start at a defined category extraction with monthly delivery. For full historical archive indexing or custom schema requirements, we price based on volume and complexity. Contact us for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full historical index of projects or a continuous feed of new architectural criticism, we scope, build, and operate the pipeline. Tell us what you need.
