Real Estate Data Extraction with hidettp

The Real Estate Data Problem

Real estate professionals — investors, agents, prop-tech companies, market researchers — need real-time property data from multiple sources. The challenge is that every major real estate portal actively blocks automated access.

Zillow uses Cloudflare with aggressive rate limiting. Realtor.com employs DataDome. Redfin has custom anti-bot measures. MLS portals require authenticated sessions with CAPTCHAs.

How Real Estate Teams Use hidettp

Property Listing Aggregation

Create bots that navigate real estate portals, search by location and criteria, and extract structured listing data — price, address, property details, listing history, and agent information. Run them on a schedule to keep your database current.

Market Analysis Automation

Track pricing trends, days-on-market averages, and inventory levels across neighborhoods. hidettp’s scheduled runs collect market data at consistent intervals, feeding your analysis tools with clean, structured data.

Investment Opportunity Detection

Set up bots to scan for specific criteria — price drops, new listings below market value, foreclosure notices. Configure webhooks to get instant notifications when opportunities appear.

MLS Portal Access

MLS portals often require login and present CAPTCHAs. hidettp’s human-in-the-loop feature handles initial authentication, and the bot continues automated extraction once past the login gate. CAPTCHAs within the portal are auto-solved.

Data Points Typically Extracted

• Property address and coordinates
• Listing price and price history
• Bedrooms, bathrooms, square footage
• Lot size and year built
• Days on market
• Listing status (active, pending, sold)
• Agent and brokerage information
• Property description and features
• Photo URLs
• Comparable sales data