ArchDaily Architecture Projects Scraper

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

{
  "project_id": 612345,
  "project_url": "https://www.archdaily.com/612345/some-building-firm",
  "project_title": "Community Library / Studio Example",
  "architect_firm": "Studio Example Architecture",
  "architect_country": "Japan",
  "project_year": 2022,
  "project_location_country": "Japan",
  "project_location_city": "Tokyo",
  "building_type": "Cultural Architecture",
  "area_sqm": 1840,
  "area_sqft": 19805,
  "image_urls": "[\"https://images.adsttc.com/...\"]",
  "drawing_urls": "[\"https://images.adsttc.com/...-plan.jpg\"]",
  "num_images": 18,
  "num_drawings": 4,
  "publication_date": "2023-03-15",
  "scrapedAt": "2025-01-01T00:00:00.000Z"
}

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 + endPage to target a specific range
• Concurrency is kept low (1 concurrent request, ~3 s between requests) to be a respectful crawling client