At CrawlFeeds, we specialize in building high-quality, ready-to-use datasets for ecommerce, real estate, and other verticals. Our latest release:
a massive dataset of 1.4 million U.S. real estate listings from Trulia — fully structured and delivered in CSV format.
If you're working in real estate tech, housing analytics, AI modeling, or urban planning, this dataset is a powerful foundation for your next project.
This dataset includes 1.4M+ properties across the U.S., each with detailed features such as:
โ Title, Description, and URL
๐งญ Location data: state, city, ZIP, street, lat/long
๐๏ธ Property specs: bedrooms, bathrooms, floor space
๐ฐ Price, currency, and listing status
๐ท๏ธ Features, images, breadcrumbs, and metadata
โฑ๏ธ Timestamps: crawled_at and last_updated_at
Real estate startups training price prediction or property match models
Analysts exploring location trends and neighborhood insights
AI teams building recommendation engines or property categorization models
Marketplaces enriching listings with external data sources
There’s a growing demand for high-quality, structured property data that goes beyond messy APIs or unstructured HTML scraping. This dataset provides a plug-and-play solution for:
Building dashboards
Powering data pipelines
Enabling location-aware features
Training models for valuation and investment tools
You can explore the dataset or request custom slices (by city, ZIP, date, etc.) from the CrawlFeeds team.
๐ Reach out via contact@crawlfeeds.com or visit CrawlFeeds.com
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