We extract architecture firm profiles, award-winning project details, continuing education courses, and industry research from aia.org. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Firm Directory objects from aia.org. All fields typed and schema-versioned.
"firm_id": "F98231", "firm_name": "Gensler", "location_city": "San Francisco", "location_state": "CA", "website_url": "https://www.gensler.com", "firm_size": "1000+", "specialties": "['Commercial', 'Aviation', 'Urban Design']"
| # | firm_id | firm_name | location_city | location_state | postal_code | website_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Award Projects objects from aia.org. All fields typed and schema-versioned.
"project_name": "Seattle Central Library", "award_year": 2024, "award_category": "Architecture Award", "firm_name": "OMA + LMN", "location": "Seattle, WA", "square_footage": 362987, "image_urls": "['https://example.com/img1.jpg', 'https://example.com/img2.jpg']"
| # | project_id | project_name | award_year | award_category | firm_name | client_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Career Center Jobs objects from aia.org. All fields typed and schema-versioned.
"job_id": "J49102", "job_title": "Senior Project Architect", "employer_name": "Perkins&Will", "location": "Chicago, IL", "employment_type": "Full-Time", "posted_date": "2026-05-10", "remote_eligible": true
| # | job_id | job_title | employer_name | location | employment_type | salary_range |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for CEU Courses objects from aia.org. All fields typed and schema-versioned.
"course_id": "C8821", "course_title": "Sustainable Mass Timber Design", "learning_units": 1.5, "hsw_eligible": true, "format": "On-Demand Webinar", "cost": 0.0, "duration_hours": 1.5
| # | course_id | course_title | provider_name | learning_units | hsw_eligible | format |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Industry Research & ABI objects from aia.org. All fields typed and schema-versioned.
"report_title": "Architecture Billings Index - April 2026", "publication_date": "2026-05-01", "abi_score": 51.2, "regional_averages": "[52.1, 50.8, 49.5, 51.0]", "sector_averages": "[53.4, 48.9, 50.1]", "tags": "['Economics', 'ABI', 'Billings']"
| # | report_id | report_title | publication_date | authors | abstract | abi_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our AIA scraper navigates complex directory structures, dynamic project galleries, and fragmented chapter subdomains to deliver normalised architecture industry intelligence.
Extract firm names, contact details, principals, and specialties across all regional chapters.
Capture project metadata, jury comments, and high-resolution image URLs for winning designs.
Monitor architecture job listings, salary ranges, and hiring trends nationwide.
Track continuing education units, HSW eligibility, and course providers.
Extract monthly economic indicators, regional score variations, and sector-specific data.
Pull session details, speaker bios, and exhibitor lists from AIA national and local events.
Navigate localised AIA chapter subdomains for regional firm and event data.
Extract text and metadata from published research papers and industry reports.
Run weekly or monthly pipelines to capture new firm registrations and project additions.
Standardise disparate address formats, firm sizes, and specialty tags into structured arrays.
Brief in. Clean data out.
Provide target categories: firm directories, awards, or job boards. We define the schema together.
We configure Scrapy crawlers, handle pagination, and manage request limits for aia.org.
Schema validation, null-rate checks, and sample data reviews before production launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Extracting intelligence from aia.org requires handling dynamic directories, inconsistent chapter subdomains, and varied project layouts. Here is how our pipeline manages it.
We use residential proxies to avoid rate limits and IP bans when scraping thousands of firm profiles from the directory.
Our crawlers handle infinite scroll mechanisms and nested pagination to ensure complete capture of search results.
We navigate across dozens of independent AIA chapter websites with varying DOM structures to aggregate local data.
We extract text and key metrics from downloadable AIA research reports and ABI summaries, converting them into queryable JSON.
We maintain resilient selectors for project pages that frequently change layout based on the specific award category.
Building targeted contact lists of architecture firms based on size, location, and specialty.
Analysing ABI trends and firm growth to forecast construction industry demand.
Monitoring award-winning projects to benchmark design trends and firm performance.
Tracking hiring volume and salary data via the AIA Career Center.
Identifying firms specialising in specific sectors for targeted building material promotions.
Aggregating historical award data and jury comments for architectural and urban design studies.
"The AIA directory and project archives represent the most comprehensive map of the US architecture industry, but the data remains fragmented across complex search interfaces."
Extracting intelligence from aia.org requires navigating dynamic directories, inconsistent chapter subdomains, and varied project layouts. DataFlirt handles the extraction complexity, delivering clean, normalised architecture data so your analysts can focus on market trends rather than web scraping.
Everything supported by our aia.org scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles directory orchestration and pagination. Playwright handles dynamic project galleries and complex search filters.
ISP-grade residential IPs prevent rate-limiting and IP bans when scraping the firm directory and career center at scale.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About aia.org scraping, legality, and pipeline operations.
Ask us directly →Scraping public firm directories and award pages is generally permissible. We do not extract member-only gated content or proprietary contract documents.
Yes. We build custom spiders for regional chapters like AIA New York or AIA LA, normalising the data into a single, unified schema.
We use residential proxies and rotate sessions to query the directory systematically without triggering rate limits or captchas.
We extract the source URLs for all project imagery, allowing you to download the assets directly or process them via our pipeline.
Job board pipelines typically run daily to capture new postings and detect removed listings promptly.
Pipelines start at defined categories, such as a full national firm directory scrape delivered monthly. We scale based on delivery frequency and data volume.
Yes, we extract the top-line scores and regional metrics from the monthly public summaries, converting PDF data into structured JSON.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of the firm directory or continuous monitoring of the Career Center, we scope, build, and operate the pipeline. Tell us what you need.
