# ArchDaily Architecture Scraper (`lulzasaur/archdaily-scraper`) Actor Scrape architecture projects from ArchDaily.com. Get project specs, architect profiles, materials, typology, location, year, area, photographs, and categories from the world's largest architecture database. - **URL**: https://apify.com/lulzasaur/archdaily-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## ArchDaily Architecture Scraper Scrape architecture projects from [ArchDaily.com](https://www.archdaily.com) — the world's largest architecture website with 40,000+ projects. Extract project specs, architect profiles, building materials, typology, location data, and photographs. ### What does ArchDaily Scraper do? This scraper searches ArchDaily's project database and extracts structured data about architecture projects worldwide. Search by project type, architect name, location, or building material. **Fast mode** (scrapeDetails off): Quickly collects project titles, URLs, and thumbnails from search results. **Detail mode** (scrapeDetails on): Visits each project page to extract full specifications including architect, year, area, materials, photographer credits, and building typology from the structured `afd-specs` section and JSON-LD data. ### Use cases - **Architecture research** — Find projects by typology, material, or architect - **Market analysis** — Track building trends by year, location, and project type - **Material research** — Discover which materials are used in award-winning buildings - **Architect portfolio tracking** — Monitor architect output and project pipeline - **Real estate development** — Research building specs and design precedents - **Academic research** — Compile datasets of architecture projects for analysis ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQueries` | string[] | `["museum"]` | Search terms — project types, architects, locations, materials | | `maxListings` | integer | `100` | Max projects per search query (1-5000) | | `scrapeDetails` | boolean | `false` | Visit each project page for full specs | | `proxyConfiguration` | object | — | Optional proxy settings | #### Search query examples - Project types: `museum`, `library`, `school`, `hospital`, `housing` - Architects: `Zaha Hadid`, `BIG`, `Renzo Piano`, `Kengo Kuma` - Locations: `Tokyo`, `Barcelona`, `New York` - Materials: `concrete`, `wood`, `brick`, `glass` - Categories: `sustainable architecture`, `adaptive reuse`, `public space` ### Output fields | Field | Type | Description | |-------|------|-------------| | `title` | string | Project name | | `architect` | string | Architecture firm or architect name | | `location` | string | City and region | | `country` | string | Country (parsed from location) | | `year` | string | Completion year | | `area` | string | Building area (e.g., "5000 m2") | | `typology` | string | Building type (residential, cultural, etc.) | | `materials` | string | Construction materials (wood, concrete, etc.) | | `categories` | string | ArchDaily categories and tags | | `description` | string | Project description (detail mode) | | `photographerCredits` | string | Photographer name | | `imageUrl` | string | Main project image URL | | `url` | string | ArchDaily project page URL | | `searchQuery` | string | Original search query | | `scrapedAt` | string | ISO timestamp | ### Example output ```json { "title": "Louvre Abu Dhabi / Ateliers Jean Nouvel", "architect": "Ateliers Jean Nouvel", "location": "Abu Dhabi, United Arab Emirates", "country": "United Arab Emirates", "year": "2017", "area": "97000 m2", "typology": "Cultural", "materials": "Steel, Aluminum, Glass", "categories": "Museum, Public Architecture", "description": "The Louvre Abu Dhabi is a new cultural landmark...", "photographerCredits": "Roland Halbe", "imageUrl": "https://images.adsttc.com/media/images/...", "url": "https://www.archdaily.com/883999/louvre-abu-dhabi-ateliers-jean-nouvel", "searchQuery": "museum", "scrapedAt": "2026-04-25T12:00:00.000Z" } ```` ### Tips for best results 1. **Enable scrapeDetails** for research — the detail page contains architect name, year, area, materials, and photographer credits that are not available from search results alone. 2. **Use specific search terms** — "Kengo Kuma wood" will find wood projects by that architect. 3. **Combine queries** — Pass multiple search queries to cover different angles in one run. 4. **Start small** — Test with `maxListings: 10` and `scrapeDetails: true` before scaling up. ### Cost estimation This actor uses pay-per-event pricing. Each result costs approximately **$0.005**. - 100 search results (no details): ~$0.50 - 100 projects with full details: ~$0.50 + compute time for detail page visits ### Integrations Connect ArchDaily Scraper to your workflow: - **Google Sheets** — Export projects to a spreadsheet for analysis - **Zapier / Make** — Trigger workflows when new projects match criteria - **API** — Call programmatically via the Apify API - **Webhooks** — Get notified when scrape completes # Actor input Schema ## `searchQueries` (type: `array`): Search terms for architecture projects. Can be project types (museum, library), architects (Zaha Hadid), locations (Tokyo), or materials (concrete, wood). ## `maxListings` (type: `integer`): Maximum number of projects to scrape per search query. ## `scrapeDetails` (type: `boolean`): When enabled, visits each project page to extract full specs (architect, year, area, materials, description, JSON-LD data). Slower but much richer data. ## `proxyConfiguration` (type: `object`): Optional proxy settings. ArchDaily generally does not block, but proxies help with high-volume scraping. ## Actor input object example ```json { "searchQueries": [ "museum", "library", "Zaha Hadid" ], "maxListings": 100, "scrapeDetails": false } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "museum", "library", "Zaha Hadid" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/archdaily-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": [ "museum", "library", "Zaha Hadid", ] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/archdaily-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "museum", "library", "Zaha Hadid" ] }' | apify call lulzasaur/archdaily-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/archdaily-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ArchDaily Architecture Scraper", "description": "Scrape architecture projects from ArchDaily.com. Get project specs, architect profiles, materials, typology, location, year, area, photographs, and categories from the world's largest architecture database.", "version": "1.0", "x-build-id": "qN8EJ7CbwAgs6ekfJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~archdaily-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-archdaily-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~archdaily-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-archdaily-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~archdaily-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-archdaily-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "Search terms for architecture projects. Can be project types (museum, library), architects (Zaha Hadid), locations (Tokyo), or materials (concrete, wood).", "default": [ "museum" ], "items": { "type": "string" } }, "maxListings": { "title": "Max Listings", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of projects to scrape per search query.", "default": 100 }, "scrapeDetails": { "title": "Scrape Full Details", "type": "boolean", "description": "When enabled, visits each project page to extract full specs (architect, year, area, materials, description, JSON-LD data). Slower but much richer data.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy settings. ArchDaily generally does not block, but proxies help with high-volume scraping." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```