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PropertyShark Commercial Property Transactions Scraper

Pricing

$10.00/month + usage

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PropertyShark Commercial Property Transactions Scraper

PropertyShark Commercial Property Transactions Scraper

Scrape recently sold property transactions from PropertyShark for all NYC boroughs. Extract sale prices, dates, property classes, building sqft, lot dimensions, stories, year built, neighborhoods, and GPS coordinates. Filter by borough, time range, price, and building size. Pay-per-result pricing.

Pricing

$10.00/month + usage

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ParseForge

ParseForge

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4 days ago

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🏒 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
  • πŸ’° Sale Price - Monitor transaction values to analyze market trends and identify investment opportunities
  • πŸ“… Sale Date - Filter by time period to find recent deals or track market momentum
  • πŸ“ Building Details - Capture square footage, lot size, number of stories, and year built for valuation
  • πŸ—ΊοΈ 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

πŸ”§ Input

  • Max Items - Free users limited to 100, paid users optional up to 1,000,000
  • Borough - Search a specific NYC borough (Manhattan, Brooklyn, Queens, Bronx, Staten Island) or leave blank to search all of NYC
  • Months Back - Narrow results to properties sold within the last 1 to 5 months
  • Min Sale Price - Filter out low value transactions (optional)
  • Max Sale Price - Exclude high value outliers or focus on a specific price range
  • Min Building Sqft - Set a minimum property size to focus on larger buildings
  • Max Building Sqft - Cap property size to exclude enormous complexes

Example input:

{
"maxItems": 500,
"city": "manhattan",
"monthsBack": 3,
"minSalePrice": 500000,
"maxSalePrice": 5000000
}

πŸ“Š Output

Each property record includes up to 18 data fields. Download as JSON, CSV, or Excel.

🏠 Property AddressπŸ’° Sale PriceπŸ“… Sale Date
πŸ—ΊοΈ LatitudeπŸ—ΊοΈ Longitude🏘️ Borough
🏘️ NeighborhoodπŸ“ Property IDπŸ”— Property URL
πŸ“ Building SqftπŸ“ Lot SqftπŸ“ Lot Dimensions
🏒 StoriesπŸ“… Year BuiltπŸ“‹ Property Type
πŸ“‹ Property Class⏰ Scraped At

πŸ’Ž Why Choose the NYC Property Transactions Scraper?

FeatureOur ActorSimilar Tools
Complete transaction records (address, price, date, specs)βœ”οΈβŒ
GPS coordinates for mapping and geo-analysisβœ”οΈβŒ
Filter by borough, price range, and building sizeβœ”οΈPartial
Deep scraping with building class splits for large result setsβœ”οΈβŒ
No authentication requiredβœ”οΈβœ”οΈ
Export to CSV, Excel, and JSON formatsβœ”οΈβœ”οΈ
Residential proxy support built-inβœ”οΈPartial
Up to 1,000,000 results for paid usersβœ”οΈβŒ
Real-time data updates from PropertySharkβœ”οΈβŒ
Free users 100 results, paid users unlimitedβœ”οΈβŒ
Cloudflare bypass with anti-detectionβœ”οΈβŒ
Deduplication to avoid collecting same property twiceβœ”οΈβŒ

πŸ“‹ 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.

🎯 Business Use Cases

  • πŸ“Š Real Estate Analysts monitor neighborhood property values over a 3-month period to identify emerging investment hotspots before they become mainstream
  • πŸ’Ό Commercial Investors track sales of large buildings (10,000+ sqft) in specific boroughs to understand acquisition prices and market entry points for portfolio expansion
  • πŸ”¬ Market Researchers collect transaction data for the past 5 months filtered by price range to build trend reports on how market conditions have reshaped NYC neighborhoods

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

πŸŽ“ Research and academia

  • Empirical datasets for papers, thesis work, and coursework
  • Longitudinal studies tracking changes across snapshots
  • Reproducible research with cited, versioned data pulls
  • Classroom exercises on data analysis and ethical scraping

🎨 Personal and creative

  • Side projects, portfolio demos, and indie app launches
  • Data visualizations, dashboards, and infographics
  • Content research for bloggers, YouTubers, and podcasters
  • Hobbyist collections and personal trackers

🀝 Non-profit and civic

  • Transparency reporting and accountability projects
  • Advocacy campaigns backed by public-interest data
  • Community-run databases for local issues
  • Investigative journalism on public records

πŸ§ͺ Experimentation

  • Prototype AI and machine-learning pipelines with real data
  • Validate product-market hypotheses before engineering spend
  • Train small domain-specific models on niche corpora
  • Test dashboard concepts with live input

πŸ€– Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:


❓ FAQ

πŸ” How does it work? The scraper visits PropertyShark's recently sold property listings, applies your filters (borough, price, size, date), and extracts property details including address, sale price, building specs, and GPS coordinates. Residential proxies mask your requests to avoid blocking.

πŸ“Š Is the data accurate? Data comes directly from PropertyShark, which pulls from NYC public records. Fields like sale price and date are highly reliable. Building specs may occasionally be incomplete for older or recently listed properties.

πŸ“… Can I schedule it to run daily? Yes. Use Apify's scheduler to set up automated daily runs. New transactions appear on PropertyShark within days of closing, so daily runs will capture the latest deals.

βš–οΈ Is scraping PropertyShark legal? PropertyShark publishes this data from public NYC property records. However, always check their terms of service and local laws before scraping. You are responsible for compliance with applicable regulations.

πŸ›‘οΈ Will PropertyShark block me? PropertyShark uses Cloudflare protection, which this actor bypasses using Camoufox with residential proxies. Residential proxies are recommended for reliable scraping without being blocked.

⚑ How long does a run take? A typical run collecting 100-500 properties takes 2-5 minutes. Larger runs (1,000+) may take 10-20 minutes depending on result size and network speed.

⚠️ Are there any limits? Free users can collect up to 100 results per run. Paid users can collect up to 1,000,000 results per run.

πŸ”— Integrate NYC Property Transactions Scraper with any app

πŸ’‘ More ParseForge Actors

Browse our complete collection of data extraction tools for more.

πŸš€ Ready to Start?

Create a free account with $5 credit and collect your first 100 results for free. No coding, no setup.

πŸ†˜ Need Help?

  • Check the FAQ section above for common questions
  • Visit the Apify support page for documentation and tutorials
  • Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form

⚠️ 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.