Pricing

Rating

Developer

Actor stats

Categories

Share

👁 ParseForge Banner

🏙️ 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.

📋 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

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

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

📈 How it compares to alternatives

🚀 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

Compliance & risk

Market research

Operations & automation

🔌 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.

🔗 Recommended Actors

💡 Pro Tip: browse the complete ParseForge collection for 50+ data-export actors.

🆘 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.