Data Collection for Real Estate Firms

Real estate data is valuable for many reasons. It can help you make better decisions, find opportunities, and save money. Here are some of the benefits of collecting real estate data:

• You can analyze market trends and identify areas with high demand or low supply
• You can compare properties and evaluate their features, prices, and returns
• You can discover new leads and potential customers who are interested in buying or selling properties
• You can optimize your marketing strategies and target the right audience with relevant messages
• You can monitor your competitors and learn from their strengths and weaknesses

Follow our guide to build a Zillow scraper from scratch to get started.

To web scrape property data, you need a robust data scraping tool that, for instance, can bypass a Zillow scraping bot detection system. 

The first option is to build a web scraper using Python by following the steps in this ‘How to Build a Real Estate Web Scraper’ guide. The second option is to use the premade ScraperAPI’s web page scraper to save time and resources in data aggregation. Some real estate scrapers we offer are Zillow Scraper API and Idealista Scraper API.

Real estate data can be used for market analysis, price comparison, lead generation, and more. Some of the types of real estate data that you can collect with ScraperAPI are:

• Property listings – You can scrape property details such as address, price, size, features, amenities, photos, etc. from different sources and platforms.
• Property reviews – You can scrape customer feedback and ratings on properties from websites like TripAdvisor, Airbnb, Booking.com, etc.
• Property trends – You can scrape historical and current data on property prices, sales, rentals, vacancies, etc. from websites like Zillow, Trulia, Realtor.com, etc.
• Property agents – You can scrape contact information and profiles of real estate agents from websites like Redfin, Century 21, Keller Williams, etc.
• Property regulations –  You can scrape legal and regulatory information on properties from websites like HUD.gov, IRS.gov, local government websites, etc.

Follow these web scraping tutorials to scrape some popular real estate websites without getting blocked:

• Scrape web data from Zillow
• Scrape web data from Redfin
• Scrape web data from Idealista
• Homes.com website data scraping with Python
• Zoopla website data scraping with Node.js

ScraperAPI is one of the best data scraping tools for real estate. Here’s how ScraperAPI stands out, making it a better alternative to Octoparse for aggregating property data.

• Dedicated real estate web scraper APIs: this includes Zillow Scraper API and Redfin Scraper API.
• Advanced anti-bot technology: effectively bypasses some of the toughest anti-scraping measures, such as CF Turnstile, DataDome, and Peremetrix.
• Global proxy network: a vast network of over 40 million proxies across 50+ countries. This enables localized data scraping and provides a comprehensive market overview.
• Async scraper: extract large volumes of data rapidly, while saving time and resources.
• Scheduled scraper: DataPipeline automates the job scheduling process, making it easier to collect up-to-date information without manual intervention.

Leverage the ScraperAPI free trial to test our automated scraping tool for 7 days.

Yes, scraping real estate data is generally legal when the information is publicly accessible, meaning it’s not behind a login or paywall. However, it’s crucial to check the “terms of use” on real estate websites, as many websites explicitly prohibit data scraping.

Some common restriction examples are “automated data collection is prohibited” and “unauthorized access to website data is forbidden”

When creating a free ScraperAPI account, you’ll receive 5,000 API credits you can use to test all ScraperAPI functionalities and tools. These include DataPipeline, structured data endpoints, and the Async Scraper. No credit card required.