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โ‡ฑ ArchDaily Architecture Projects Scraper ยท Apify


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ArchDaily Architecture Projects Scraper

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ArchDaily Architecture Projects Scraper

Scrape architectural project data from ArchDaily โ€” 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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๐Ÿ‘ BowTiedRaccoon

BowTiedRaccoon

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1

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a month ago

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Scrape architectural project data from ArchDaily โ€” 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:

FieldDescription
project_idNumeric ArchDaily project ID
project_urlCanonical ArchDaily project URL
project_titleFull project name
architect_firmPrimary architecture firm
architect_firm_urlArchDaily profile URL for the firm
architect_countryCountry of the architecture firm
project_yearYear of completion
project_location_countryCountry where the project is located
project_location_cityCity of the project
project_location_addressStreet address
latitudeGPS latitude
longitudeGPS longitude
building_typePrimary category (e.g. Cultural, Residential, Educational)
typology_tagsComma-separated typology tags
area_sqmFloor area in square metres
area_sqftFloor area in square feet
photographer_namePrimary photo credit
photographer_urlArchDaily photographer profile URL
lead_architectsNamed lead architects
design_teamFull design team credits
clientsClient name(s)
structural_engineersStructural engineering firm(s)
mechanical_engineersMechanical / services engineering
landscape_architectsLandscape architecture firm(s)
manufacturersProduct and manufacturer credits
awardsAwards listed for the project
publication_dateISO date published on ArchDaily
text_summaryFirst editorial paragraph
image_urlsJSON array of photo image URLs
drawing_urlsJSON array of drawing URLs (plans, sections, elevations)
num_imagesTotal number of photos
num_drawingsTotal number of architectural drawings
num_commentsReader comment count
num_savesTimes the project was saved
scrapedAtISO-8601 scrape timestamp

Input Parameters

ParameterTypeDefaultDescription
maxItemsintegerโ€”Maximum number of projects to collect (required)
startPageinteger1Listing page to start from
endPageintegerโ€”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 โ€” analyse global trends in building typology, materials, and sustainable design across thousands of projects
  • Real estate intelligence โ€” benchmark residential and commercial projects by size, location, and year
  • Academic datasets โ€” build training datasets for architectural AI models linking images to project metadata
  • Firm profiling โ€” map a firm's portfolio, geographic reach, and project history
  • Market analysis โ€” 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 โ€” 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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