What's in the 500 Synthetic MLS Property Listings: A 500-Record CSV Dataset

What's in This Dataset This dataset includes 500 realistic synthetic MLS property listings in CSV format, designed to mimic real estate data you'd find in a professional listing system. Each record contains a unique MLS-style listing ID, full property address, price, square footage, number of bedrooms and bathrooms, lot size, listing date, and agent information. The fields are carefully structured to reflect typical real estate listing details, including columns like mls_id , address , price , beds , baths , sqft , lot_size , list_date , and agent_name . The dataset is fully formatted for immediate use in analytics tools, ML models, or app testing environments without requiring additional transformations or cleaning. Who Needs This Data Developers building real estate applications, data scientists training machine learning models, and QA testers working on property listing dashboards all benefit from this dataset. Real estate app developers can use it to test user interfaces and ensure