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ArchDaily Architecture Projects Scraper

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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.

Pricing

from $0.50 / 1,000 record scrapeds

Rating

0.0

(0)

Developer

BowTiedRaccoon

Actor stats

Bookmarked

Total users

Monthly active users

12 days ago

Last modified

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

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