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The 10 Best Real Estate Scrapers of 2026

Blog post from Bright Data

Post Details
Company
Date Published
Author
Dvir Sharon
Word Count
2,330
Company Posts That Month
6
Language
English
Hacker News Points
-
Post removed?
No
Summary

Real estate scrapers extract structured listing information such as prices, addresses, property features, photos, and agent details from frequently changing property portals, helping investors, agents, analysts, and data teams avoid manual collection. The guide compares 10 scraper APIs and no-code platforms based on portal coverage, ability to manage CAPTCHAs and rate limits, usability, export options, reliability, scale, and pricing. It identifies Bright Data as the overall option because of its prebuilt scrapers for major portals, AI-assisted custom scraper builder, flexible data delivery, and reported high benchmark success rate, while Apify and Octoparse emphasize ready-made and visual no-code workflows. Other tools serve more specialized needs, including ScrapingBee for simple developer integrations, Thunderbit for quick AI-assisted browser-based exports, Scrapingdog and ScraperAPI for budget or high-volume API use, Oxylabs for enterprise reliability, Lobstr for cloud-based no-code Realtor data collection, and Nimble for AI-driven page parsing. Prices range from free tiers and low-cost monthly plans to usage-based API pricing, and the guide advises users to test tools against their required sites and data volume while respecting website terms and avoiding private or logged-in information.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
AI Agents 1 1,180 266 113 -80%
MCP 1 1,562 186 99 -80%
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