🏢 NYC Property Transactions Scraper

Collect recent commercial and residential property sale records from New York City with no coding required. Extract transaction data including sale price, date sold, building specs, and GPS coordinates. Perfect for real estate analysts, investors, and market researchers tracking NYC property deals, monitoring neighborhood trends, or downloading property transaction data as CSV or Excel.

The NYC Property Transactions Scraper collects up to 1,000,000 recent property sale records from NYC with complete building specifications and transaction data, no credentials required.

✨ What Does It Do

• 🏠 Property Address - Track property location and identify deals in specific neighborhoods
• 💰 Sale Price - Monitor transaction values to analyze market trends and identify investment opportunities
• 📅 Sale Date - Filter by time period to find recent deals or track market momentum
• 📐 Building Details - Capture square footage, lot size, number of stories, and year built for valuation
• 🗺️ GPS Coordinates - Use latitude and longitude data for mapping, geo-analysis, and location research
• 🏘️ Borough and Neighborhood - Segment analysis by Manhattan, Brooklyn, Queens, Bronx, or Staten Island to understand regional differences

📋 How to Use

No technical skills required. Follow these simple steps:

1. Sign Up - Create a free account with $5 credit
2. Find the Tool - Search for "NYC Property Transactions Scraper" in the Apify Store and configure your input
3. Run It - Click "Start" and watch your results appear

That's it. No coding, no setup, no complicated configuration. Now you can export your data in CSV, Excel, or JSON format.

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by PropertyShark or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

📊 Data fields

Each record includes: address, buildingSqft, latitude, longitude, lotDimensions, lotSqft, neighborhood, propertyClass, propertyType, propertyUrl, propId, results, saleDate, salePrice, scrapedAt, stories, yearBuilt. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🆘 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.