New York Housing Dataset
Find new properties within the New York area, compare prices, forecast market trends, and more using our New York housing prices dataset
Over 15M records available
- Continuously verified, enriched, and refreshed
- 100% ethical and compliant data collection
- Filter the datasets based on your needs
- Starting from price $250/100K records
Trusted by 20,000+ customers worldwide
Popular pre-built datasets
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- Demo data in JSON/CSV
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Zillow properties listing information
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Zillow Full Properties Information
Zillow properties search page
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Maximize value with strategic cost savings
Smart Data Updates
Access only "New Records" or "Updated Records," ensuring you pay only for what you need"
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Gain greater value by purchasing two or more datasets together, with exclusive discounts.
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Enriched Datasets
Save time and resources with pre-built datasets that combine multiple sources into one clean dataset
Zillow dataset sample
The Zillow dataset encompasses a diverse array of property listings, featuring crucial details such as pricing, property specifications, and location information. Tailored for homebuyers, sellers, and analysts, it provides a comprehensive view of the real estate landscape on Zillow.
Datasets Pricing
- Clean and validated
- Refreshed monthly
- JSON/CSV/Parquet
Power AI Agents Instantly
Our New York housing datasets are AI/LLM-optimized: clearly structured, well-documented, with code and recipes for easy LLM/chatbot integration.
Structured & Clean
Pre-processed data with consistent schemas, perfect for AI model training and inference.
Code Examples
Ready-to-use Python, Node.js, cURL, PHP, Go, Java, and Ruby snippets for easy integration with AI workflows.
Documentation
curl --request GET
--url https://api.brightdata.com/datasets/snapshots/{id}/download
--header 'Authorization: Bearer '
import requests
url = "https://api.brightdata.com/datasets/snapshots/{id}/download"
headers = {"Authorization": "Bearer "}
response = requests.get(url, headers=headers)
print(response.json())
const url = 'https://api.brightdata.com/datasets/snapshots/{id}/download';
const options = {method: 'GET', headers: {Authorization: 'Bearer '}, body: undefined};
try {
const response = await fetch(url, options);
const data = await response.json();
console.log(data);
} catch (error) {
console.error(error);
}
HttpResponse response = Unirest.get("https://api.brightdata.com/datasets/snapshots/{id}/download")
.header("Authorization", "Bearer ")
.asString();
require 'uri'
require 'net/http'
url = URI("https://api.brightdata.com/datasets/snapshots/{id}/download")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer '
response = http.request(request)
puts response.read_body
Ney York housing prices datasets tailored to your needs
Data subscription
Subscribe to access datasets at a significantly reduced cost.
File output formats
JSON, NDJSON, JSON Lines, CSV, Parquet. Optional .gz compression.
Flexible delivery
Snowflake, Amazon S3 bucket, Google Cloud, Azure, and SFTP.
Scalable data
Scale without worrying about infra, proxy servers, or blocks.
Cost savings
Customize any dataset using filters and formatting options.
Code maintenance
Datasets are maintained based on website structure changes.
Simplified integrations
Benefit from integrations with Snowflake and AWS.
24/7 support
A dedicated team of data professionals is here to help.
Leaders in compliance
Data is ethically obtained and compliant with all privacy laws.
Get structured and reliable NY housing prices data
We’ll provide the data while you focus on the rest
High-volume web data
With our unblocking capabilities and round-the-clock IP rotation we ensure access to all data points on a website.
Data for immediate use
Every aspect of the data collection process is thoroughly validated as part of our robust data validation process.
Automated data flow
Create custom schedules to automate data delivery and watch the data flow seamlessly into your storage.
How companies use NY housing prices datasets
Forecast market trends
Monitor pricing changes
Identify properties
New York Housing Dataset FAQs
What data is included in the New York housing dataset?
We will build a New York housing dataset based on your needs. Get accurate data using a Zillow dataset. Data points may include home sell price, number of bedrooms & baths, property size, location, estimated monthly mortgage payment, type of residence, year built, features, price/sqft, property overview, listing agent, and more, within the New York area.
Can I get updates for my purchased New York housing dataset?
Yes, you can get updates to your New York housing dataset on a daily, weekly, monthly, or custom basis.
Can I purchase a subset of the New York housing dataset?
Yes, you can purchase a New York housing subset that will include only the data points you need. By purchasing a subset, cost is reduced substantially.
In what format will I receive the New York housing dataset?
Dataset formats are JSON, NDJSON, JSON Lines, CSV, or Parquet. Optionally, files can be compressed to .gz.
Can I scrape New York housing public data by myself?
If you don’t want to purchase a dataset, you can start scraping New York housing data using our Zillow scraper API.
Can I get a data sample?
Yes, you can request sample data to evaluate the quality and relevance of the information provided. This is a great way to ensure it meets your needs before committing to a full dataset.
Can I request specific data points from the New York housing dataset?
Yes, you can request specific data points from the New York housing dataset tailored to your unique needs, ensuring you receive precisely the information you require for your projects.
Is it possible to integrate the New York housing dataset directly into my existing systems?
Absolutely, the New York housing dataset offers seamless API integration, allowing you to effortlessly integrate the data into your CRM, analytics tools, or any other systems you use, streamlining your operations.
How New York housing datasets can help me?
Enrich your real estate strategies and market insights with our comprehensive New York Housing dataset. Analyzing this dataset can aid in understanding housing market dynamics and trends, empowering organizations to refine their investment strategies and business decisions. Access the entire dataset or tailor a subset to fit your requirements.
Popular use cases include optimizing investment strategies based on neighborhood engagement and property popularity, performing detailed user behavior analysis and segmentation by housing type, price range, and location to tailor marketing and engagement efforts, and identifying and forecasting emerging trends in the New York housing market to stay ahead in the competitive real estate industry.