We extract project specifications, firm portfolios, material catalogues, and blueprint metadata from ArchDaily. 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 archdaily.com. All fields typed and schema-versioned.
"project_id": "984321", "title": "Chapel of Sound", "architect_name": "OPEN Architecture", "location_city": "Chengde", "location_country": "China", "built_area_sqm": 790, "completion_year": 2021, "category": "Cultural Architecture"
| # | project_id | title | architect_name | architect_url | location_city | location_country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Architectural Firms objects from archdaily.com. All fields typed and schema-versioned.
"firm_id": "45210", "name": "Zaha Hadid Architects", "headquarters": "London, United Kingdom", "founded_year": 1979, "project_count": 142, "website_url": "https://www.zaha-hadid.com", "awards": "['Pritzker Architecture Prize', 'Stirling Prize']"
| # | firm_id | name | headquarters | founded_year | website_url | project_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Products objects from archdaily.com. All fields typed and schema-versioned.
"product_id": "76102", "name": "Fibre Cement Facade Panels", "brand_name": "Equitone", "category": "Building Materials", "sub_category": "Cladding", "application_type": "Exterior", "bim_object_available": true
| # | product_id | name | brand_name | brand_url | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Articles & News objects from archdaily.com. All fields typed and schema-versioned.
"article_id": "993412", "title": "The Evolution of Brutalist Architecture", "author": "Eduardo Souza", "publish_date": "2025-09-14T10:00:00Z", "category": "Architecture News", "tags": "['Brutalism', 'Concrete', 'History']", "view_count": 45210
| # | article_id | title | author | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Professionals & Teams objects from archdaily.com. All fields typed and schema-versioned.
"person_id": "11294", "full_name": "Bjarke Ingels", "role": "Founder & Creative Director", "firm_name": "BIG", "location": "Copenhagen, Denmark", "project_credits": 84, "linkedin_url": "https://linkedin.com/in/bjarkeingels"
| # | person_id | full_name | role | firm_name | firm_url | project_credits |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our ArchDaily scraper navigates infinite scroll galleries, normalises inconsistent legacy project templates, and extracts precise metadata for spatial analysis and lead generation.
Extract title, area, completion year, lead architects, structural consultants, and exact location coordinates for every published project.
Link architectural practices to their complete portfolio of executed projects, capturing contact details and award history.
Capture the specific brands, materials, and product systems used in each project, linking them back to the manufacturer directory.
Bypass thumbnail grids to extract original resolution image URIs directly from the content delivery network.
Extract precise project coordinates and address metadata to map architectural density and development trends by region.
Segregate image URLs by type, separating floor plans, elevations, and sections from standard architectural photography.
Extract and normalise data across archdaily.com, archdaily.br, archdaily.cl, and other regional platforms.
Capture the exact hierarchical tagging system used for building types, interior styles, and spatial functions.
Run continuous pipelines to capture newly published projects and firm updates with change-detection diffing.
Brief in. Clean data out.
Provide target categories, firm lists, or material types. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and pagination logic for archdaily.com.
Schema validation, null-rate checks, and image URL verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
ArchDaily's frontend relies on heavy lazy-loading and legacy templates. Here is how we ensure data completeness.
ArchDaily uses JavaScript-heavy infinite scroll for project galleries and search results. We use Playwright to simulate user scroll behaviour and intercept the underlying API responses to ensure zero dropped records.
The platform serves compressed thumbnails by default. Our pipeline parses the DOM attributes and constructs the original, high-resolution CDN URLs required for architectural analysis and AI training.
Projects published in 2012 have a completely different DOM structure than projects published in 2025. We maintain multiple extraction schemas and fallback chains to normalise data across the entire historical archive.
For daily monitoring, we index the latest publication feeds and maintain a hash index of last-seen values. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
A project might be published on both the global and regional ArchDaily domains. We use canonical URL mapping and project ID matching to prevent duplicate records in your warehouse.
Building material manufacturers track product usage across new projects to identify emerging aesthetic and structural trends.
B2B sales teams extract active architectural firms and their recent project portfolios to target decision-makers.
Developers track the volume and type of architectural projects by region to gauge market activity and urban expansion.
Universities analyse built area metrics, material choices, and spatial configurations to study architectural evolution.
Architectural practices benchmark project output, publication frequency, and award acquisition against peer firms.
Machine learning teams use tagged floor plans, elevations, and high-resolution photographs to train architectural rendering models.
"ArchDaily holds the definitive record of modern built environments, but extracting structured material data and floor plans requires traversing a highly fragmented DOM."
Extracting architectural data at scale requires more than simple HTTP requests. ArchDaily's frontend relies on lazy-loaded image grids, infinite scroll pagination, and inconsistent legacy page templates. DataFlirt handles the proxy rotation, JavaScript execution, and schema normalisation so your data science teams can focus on spatial analysis.
Everything supported by our archdaily.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 multiple 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 archdaily.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from ArchDaily is generally permissible under applicable law. DataFlirt targets only public, non-authenticated project data, firm profiles, and material directories. We do not circumvent authentication walls or violate GDPR. Clients should review ArchDaily's ToS and consult legal counsel for specific use cases.
The platform displays compressed thumbnails in its galleries. Our pipeline parses the underlying DOM attributes and constructs the original, high-resolution CDN URLs, delivering the links in the final JSON payload.
Yes. We extract the material specifications listed on project pages and map them to the corresponding manufacturer profiles within the ArchDaily directory, providing a relational dataset.
Yes. We support archdaily.com, archdaily.br, archdaily.cl, archdaily.mx, and archdaily.cn, applying a unified schema to normalise data across all regional platforms.
For continuous pipelines, we can monitor the latest publication feeds at an hourly or daily cadence, extracting new projects as soon as they are published to the platform.
Yes. ArchDaily often categorises project media. Our pipeline extracts these categorisation tags, allowing you to filter the image URLs by type, such as floor plans, sections, elevations, or exterior photography.
Absolutely. We provide a sample run of up to 500 projects or firm profiles as part of the pre-engagement scoping process, allowing you to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of all historical projects or a continuous feed of new architectural firms, we scope, build, and operate the pipeline. Tell us what you need.
