NYC Property Sales Scraper | DOF Rolling Sales Data
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NYC Property Sales Scraper | DOF Rolling Sales Data
Export NYC property sales records from the Department of Finance: address, borough, neighborhood, building class, sale price, sale date, residential/commercial units and gross square feet. Filter by borough. CSV, Excel, JSON or XML.
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from $19.00 / 1,000 results
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🏙️ NYC Property Sales Scraper
🚀 Export NYC Department of Finance rolling property sales: address, borough, building class, sale price, sale date, units and square footage.
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.
📊 Data fields
Each record includes: address, apartment_number, block, borough, building_class_at_present, building_class_at_time_of_sale, building_class_category, commercial_units, gross_square_feet, imageUrl, land_square_feet, lot, neighborhood, residential_units, results, sale_date, sale_price, scrapedAt, sourceUrl, tax_class_at_present, tax_class_at_time_of_sale, title, total_units, url, year_built, zip_code. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.
🚀 How to use
- Create a free Apify account with $5 credit - no credit card required.
- Open the NYC Property Sales Scraper page in Apify Store and click Try for free.
- Configure the input (see Input section above).
- Click Start - the run will produce a downloadable dataset.
- Export as CSV, Excel, JSON or XML, or stream to your destination via integrations.
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💡 Pro Tip: browse the complete ParseForge collection for 50+ data-export actors.
⚠️ 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.
🆘 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.
