NYC Building Permits Scraper
Pricing
from $3.00 / 1,000 results
NYC Building Permits Scraper
Extract 4.87M+ building permit records from NYC Open Data. Filter by borough, ZIP, job type, date range. Get owner names, addresses, costs, GPS coordinates, and 42 normalized fields. No browser needed β fast, reliable API calls.
Pricing
from $3.00 / 1,000 results
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ParseForge
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9 hours ago
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ποΈ NYC Building Permits Scraper
π Extract building permit records from NYC Open Data. Filter by borough, ZIP code, job type, and date range. Get owner names, addresses, costs, GPS coordinates, and 42 normalized fields per permit.
Collect building permit data from NYC Open Data without coding. Extract owner names, addresses, permit types, costs, GPS coordinates, and 42 normalized fields from 4.87M+ active and historical permits. Filter by borough, ZIP code, job type, and filing date to monitor construction activity, track contractor projects, or discover neighborhood development patterns.
Whether you are a real estate investor tracking new construction, a contractor identifying project leads, or a market analyst studying development trends across NYC boroughs, this tool delivers structured permit data ready for analysis. No browser needed - fast, reliable API-based extraction.
| Target | NYC Open Data - Department of Buildings permits |
|---|---|
| Use Cases | Construction monitoring, contractor research, real estate intelligence, neighborhood analysis |
π What it does
- π’ Extracts job numbers, permit types, and current filing status for every permit record
- π Collects full street addresses plus GPS latitude and longitude for mapping and location analysis
- π€ Returns owner names, business types, phone numbers, and license numbers for applicants and permittees
- π° Captures estimated project costs to track investment scale and neighborhood development spending
- π Includes filing, issuance, expiration, and job start dates for monitoring permit lifecycle
- ποΈ Provides community board, council district, census tract, and NTA code for geographic segmentation
Each permit record is normalized across both the active DOB NOW and historical datasets, giving you a consistent 42-field output regardless of the data source. This makes it easy to compare permits across time periods and boroughs without manual cleanup.
π‘ Why it matters: NYC issues thousands of building permits each month. Manual tracking through the DOB website is slow and limited to one-at-a-time lookups. This scraper automates bulk collection with filtering so you can focus on analysis instead of data gathering.
π Data fields
Each record includes: Address, Applicant Business, Applicant License, Applicant Name, BBL, BIN, Block, Borough, Building Type, Census Tract, Community Board, Council District, Estimated Cost, Expiration Date, Filing Date, Filing Status, Issuance Date, Job Description, Job Number, Job Start Date, Job Type, Latitude, Longitude, Lot, NTA, Non-Profit, Owner Business, Owner Business Type, Owner Name, Owner Phone, Permit Status, Permit Subtype, Permit Type, Permittee Business, Permittee License, Permittee License Type, Permittee Name, Permittee Phone, Self Certified, Source Dataset. All 40 field names come from a real production run, so what you see here is what lands in your dataset.
β οΈ Good to Know: Free users are limited to 10 results per run. Date filters use YYYY-MM-DD format. When no borough or ZIP is specified, the scraper returns permits across all five boroughs.
π How to use
- Sign up - Create a free account with $5 credit
- Find the tool - Search for "NYC Building Permits Scraper" in the Apify Store
- Configure filters - Select your borough, ZIP code, job type, and date range
- Run it - Click "Start" and wait for results
- Export data - Download as JSON, CSV, or Excel, or connect to Google Sheets
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π Need Help?
If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.
For faster answers, join our Discord. It's the best place to get support and suggest new actors.