ArchDaily Architecture Projects Scraper
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ArchDaily Architecture Projects Scraper
Scrape architectural project data from ArchDaily — the world's most visited architecture website. Extracts project metadata, location, team credits, images, drawings, and publication details for thousands of global projects across all building types.
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Pay per event
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BowTiedRaccoon
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Scrape architectural project data from ArchDaily — the world's most visited architecture website. Extracts comprehensive project metadata including location, team credits, images, architectural drawings, and publication details.
What You Get
Each result is a structured record for one architectural project:
| Field | Description |
|---|---|
project_id | Numeric ArchDaily project ID |
project_url | Canonical ArchDaily project URL |
project_title | Full project name |
architect_firm | Primary architecture firm |
architect_firm_url | ArchDaily profile URL for the firm |
architect_country | Country of the architecture firm |
project_year | Year of completion |
project_location_country | Country where the project is located |
project_location_city | City of the project |
project_location_address | Street address |
latitude | GPS latitude |
longitude | GPS longitude |
building_type | Primary category (e.g. Cultural, Residential, Educational) |
typology_tags | Comma-separated typology tags |
area_sqm | Floor area in square metres |
area_sqft | Floor area in square feet |
photographer_name | Primary photo credit |
photographer_url | ArchDaily photographer profile URL |
lead_architects | Named lead architects |
design_team | Full design team credits |
clients | Client name(s) |
structural_engineers | Structural engineering firm(s) |
mechanical_engineers | Mechanical / services engineering |
landscape_architects | Landscape architecture firm(s) |
manufacturers | Product and manufacturer credits |
awards | Awards listed for the project |
publication_date | ISO date published on ArchDaily |
text_summary | First editorial paragraph |
image_urls | JSON array of photo image URLs |
drawing_urls | JSON array of drawing URLs (plans, sections, elevations) |
num_images | Total number of photos |
num_drawings | Total number of architectural drawings |
num_comments | Reader comment count |
num_saves | Times the project was saved |
scrapedAt | ISO-8601 scrape timestamp |
Input Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
maxItems | integer | — | Maximum number of projects to collect (required) |
startPage | integer | 1 | Listing page to start from |
endPage | integer | — | Last listing page to scrape (optional) |
Example Output
Use Cases
- Architecture research — analyse global trends in building typology, materials, and sustainable design across thousands of projects
- Real estate intelligence — benchmark residential and commercial projects by size, location, and year
- Academic datasets — build training datasets for architectural AI models linking images to project metadata
- Firm profiling — map a firm's portfolio, geographic reach, and project history
- Market analysis — track which building types and geographies receive the most coverage in international architecture media
Notes
- Images and drawings are classified from filename keywords (supports English, Spanish, Polish, and German drawing names)
- Area is normalised to both sq m and sq ft — if the source uses imperial units, the actor converts automatically
- The scraper paginates through ArchDaily's project listing pages sequentially; use
startPage+endPageto target a specific range - Concurrency is kept low (1 concurrent request, ~3 s between requests) to be a respectful crawling client
