🏙️ NYC Property Sales Scraper

🚀 Export NYC Department of Finance rolling property sales: address, borough, building class, sale price, sale date, units and square footage.

🕒 Last updated: 2026-05-25 · 📊 24 fields per record · 🏙️ NYC · 5 boroughs · Rolling 12-month property sales, all boroughs

The NYC Property Sales Scraper extracts records from the official NYC Department of Finance Rolling Sales dataset. Each record includes borough, neighborhood, building class category, tax class, block, lot, building class, address, apartment number, ZIP, residential/commercial/total units, land and gross square footage, year built, sale price and sale date - exported as CSV, Excel, JSON, or XML.

The scraper supports filtering by borough code (1=Manhattan, 2=Bronx, 3=Brooklyn, 4=Queens, 5=Staten Island). Coverage includes the trailing 12 months of recorded sales.

🎯 Target Audience	💡 Primary Use Cases
Real estate investors, brokers, appraisers, mortgage analysts, urban planners, journalists	Comparable sales, market analysis, investment underwriting, lead generation, neighborhood research

📋 What the NYC Property Sales Scraper does

• Connects to the official NYC Department of Finance - Rolling Sales dataset.
• Paginates through every record matching your filters.
• Normalises each record into a flat, analysis-ready row.
• Exports as CSV, Excel, JSON or XML - directly from your Apify dataset.
• Refreshes on demand or on schedule (hourly, daily, weekly).

💡 Why it matters: stop copy-pasting from a portal that paginates 100 records at a time. One click, full dataset, your format.

🎬 Full Demo

🚧 Coming soon

⚙️ Input

Field	Type	Description
maxItems	integer	Max sales records. Free: 10. Paid: up to 1,000,000.
borough	string (enum)	1 Manhattan · 2 Bronx · 3 Brooklyn · 4 Queens · 5 Staten Island

Example 1 - Recent Manhattan sales

{
  "maxItems": 500,
  "borough": "1"
}

Example 2 - All boroughs

{
  "maxItems": 1000
}

⚠️ Good to Know: free users are capped at 10 records per run as a preview. Upgrade to any paid plan to unlock full exports (up to 1,000,000 records). Data is collected directly from the official public source - no login or API key required.

📊 Output

Field	Type	Description
🖼 imageUrl	string	Always null
📌 title	string	Property address
🔗 url	string	Source dataset URL
🆔 id	string	Block-based identifier
🗺 borough	string	Borough code (1-5)
🏘 neighborhood	string	Neighborhood
🏠 building_class_category	string	Building class category
🏷 tax_class_at_present	string	Current tax class
🔢 block	string	Tax block
🔢 lot	string	Tax lot
🏠 building_class_at_present	string	Building class code
📍 address	string	Street address
🚪 apartment_number	string	Apartment number (nullable)
📮 zip_code	string	ZIP code
🏠 residential_units	integer	Residential units
🏬 commercial_units	integer	Commercial units
🔢 total_units	integer	Total units
📐 land_square_feet	integer	Land sq. ft.
📐 gross_square_feet	integer	Gross sq. ft.
📅 year_built	integer	Year built
💰 sale_price	integer	Sale price (USD)
📅 sale_date	string	Sale date
🕒 scrapedAt	string	ISO scrape timestamp
❌ error	string	Populated on failure

Sample record (real run output):

{
  "title": "24-31 DEERFIELD ROAD",
  "url": "https://data.cityofnewyork.us/City-Government/NYC-Citywide-Rolling-Calendar-Sales/usep-8jbt",
  "id": "15776",
  "borough": "4",
  "neighborhood": "FAR ROCKAWAY",
  "building_class_category": "01 ONE FAMILY DWELLINGS",
  "block": "15776",
  "lot": "9",
  "address": "24-31 DEERFIELD ROAD",
  "zip_code": "11691",
  "residential_units": 1,
  "commercial_units": 0,
  "total_units": 1,
  "land_square_feet": 2129,
  "gross_square_feet": 1188,
  "year_built": 1940,
  "sale_price": 360000,
  "sale_date": "2026-03-31T00:00:00.000",
  "scrapedAt": "2026-05-25T22:25:54.643Z",
  "error": null
}

✨ Why choose this Actor

✅	What you get
🎯	Direct extraction from the official NYC Department of Finance - Rolling Sales portal
📊	24 normalised fields per record
⚡	Run on-demand or on schedule
📁	CSV, Excel, JSON, XML - your choice
🔌	Integrates with Make, Zapier, Slack, Airbyte, Google Drive
🆓	Free preview (10 records) - no credit card
🌍	Public data only - no login or API key required
🚀	Maintained and updated as the source schema evolves

📈 How it compares to alternatives

Approach	Speed	Maintenance	Cost	Export formats
Copy-paste from portal	🐌 Hours	🛠 High	Free	Limited
Build your own scraper	🐢 Days	🛠 Ongoing	Dev time	DIY
Generic SaaS scraper	🚶 Slow	🛠 Manual config	$$$	Generic
This Actor	🚀 Minutes	✅ Maintained	💸 From free	CSV / Excel / JSON / XML

🚀 How to use

1. Create a free Apify account with $5 credit - no credit card required.
2. Open the NYC Property Sales Scraper page in Apify Store and click Try for free.
3. Configure the input (see Input section above).
4. Click Start - the run will produce a downloadable dataset.
5. Export as CSV, Excel, JSON or XML, or stream to your destination via integrations.

💼 Business use cases

Lead generation & sales

🎯	Example
📞	Build target lists filtered by category, region, or status
🧠	Enrich CRM records with up-to-date public attributes

Compliance & risk

🎯	Example
🔍	Continuous monitoring of changes in official records
📋	Audit-trail-friendly exports for compliance teams

Market research

🎯	Example
📊	Track market dynamics over time
🌍	Benchmark across regions, categories, or operators

Operations & automation

🎯	Example
🔄	Schedule recurring pulls and pipe straight into your BI tool
🚨	Alert on threshold or status changes

🔌 Automating NYC Property Sales Scraper

• Make - receive new records into a scenario and route them anywhere.
• Zapier - trigger on new dataset rows and push to 6,000+ apps.
• Slack - post fresh records into a channel for the team.
• Airbyte - sync the dataset into your warehouse (BigQuery, Snowflake, Redshift, Postgres).
• GitHub - store snapshots in a repo for diffing over time.
• Google Drive / Sheets - auto-append rows to a spreadsheet.

🌟 Beyond business use cases

Research

• Academic studies on NYC Department of Finance - Rolling Sales trends, distributions and outliers.

Personal projects

• Hobbyist data viz, dashboards, blog posts and side-projects.

Non-profit

• Open-data journalism, transparency audits, civic-tech tools.

Experimentation

• Train ML models on a clean, structured slice of public data.

🤖 Ask an AI assistant about this scraper

• ChatGPT
• Claude
• Perplexity
• Microsoft Copilot

Paste this README into any of them and ask: "How would I use the NYC Property Sales Scraper to solve X?"

❓ Frequently Asked Questions

❓ Is the data accurate?

Yes - the scraper pulls directly from the official NYC Department of Finance - Rolling Sales public dataset. Accuracy mirrors the source.

❓ Do I need an API key or login?

No. Everything is public data. Just run the actor.

❓ How fresh is the data?

Each run fetches the latest available records from data.cityofnewyork.us at request time.

❓ How many records can I export?

Free users: 10 (preview). Paid users: up to 1,000,000 per run.

❓ Can I export to Excel?

Yes - choose CSV, Excel, JSON or XML on the dataset page.

❓ Can I schedule recurring runs?

Yes - Apify Schedules supports hourly/daily/weekly/cron. Pair with integrations for auto-delivery.

❓ Is this affiliated with NYC Department of Finance - Rolling Sales?

No. This is an independent tool that exposes publicly available data via a structured interface.

❓ What happens if the source goes down?

The actor surfaces a clean error record. Re-run when the source is back up.

❓ Can I filter the output?

Yes - the input section above lists every supported filter, exposed as a typed input field.

❓ Can I use it for commercial purposes?

Yes, subject to the source dataset's terms of use. Always review the original publisher's license.

❓ Where can I get help?

Open our contact form - we usually respond within one business day.

🔌 Integrate with any app

Make · Zapier · Slack · Airbyte · GitHub · Google Drive · Google Sheets · BigQuery · Snowflake · Redshift · Postgres · MySQL · MongoDB · Kafka · Webhooks · REST API.

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🆘 Need Help? Open our contact form

⚠️ Disclaimer: This is an independent tool and is not affiliated with, endorsed by, or sponsored by NYC Department of Finance - Rolling Sales. It only collects publicly available data published by the source. Always review the source's terms of use before commercial deployment.