Real Estate Web Scraping

unpack the value of real estate data

Scraping real estate data can be your gateway into understanding market trends, predicting future prices, and making better decisions.

Here's our overview based on years of crawling real estate data.

Real Estate crawling visualization

Real Estate Data Use Cases

top reasons to crawl real estate websites

The real estate industry is defined by knowing your clients, knowing your competition, and knowing how to cut out any difficulties your potential clients may have when it comes to getting to you.

Real estate web scraping is a vital tool that you may already be using - even if you don’t call it that.

Performing market research, evaluating property value, assessing rental yields — all of these actions require the large datasets only accessible through data collection. It also takes up a lot of time. So, why not automate it?

Some real-life scenarios by Scrapfly users

Real estate targets like Zillow or Redfin are full of potential leads. Web scraping real estate agent directories can be used to generate agent leads.

Web scraping these targets can provide a list of agents, their contact information, and their properties. With this information and a bit of analytics magic, you can create a list of potential leads for your real estate business.

Analyzing agent presence on each of real estate property platforms can provide a very accurate view of market capitalization. By answering questions like:

  • What agencies are most active in a specific area?
  • What percentage of listings are private or agency listed?

These questions can be easily answered by scraping public datasets available on the web. With this information in hand, you can make better decisions about where to invest your time and money and capitalize on any gaps in the market.

Monitoring your competitors is a key part of any business strategy. By scraping real estate websites, you can keep track of your competitors' listings, pricing, and marketing strategies.

This information can help you identify areas where you can improve your own listings, pricing, and marketing strategies to stay ahead of the competition.

Assessing rental yields is an important part of any real estate investment strategy. By scraping real estate websites, you can gather data on rental prices, vacancy rates, and other factors that affect rental yields.

This information can help you identify areas with high rental yields and make better investment decisions.

Top Real Estate Scraping Targets

the most scraped real estate targets today

Web Scraping Zillow.com

Zillow is by far the biggest real estate source in the US. It contains data for millions of properties in both buy and rental markets.

Zillow can also be a great source of real estate agent leads as it offers a real estate directory.

guide for web scraping zillow.com using Python or Javascript

How to Scrape Zillow.com

For more on scraping Zillow see our introduction guide which covers everything you'd need to know about scraping this target.

Web Scraping Redfin.com

Redfin is a popular real estate platform in the US, known for its comprehensive property data and user-friendly interface. It features detailed listings for homes in the buy and rental markets, complete with pricing trends and market insights.

Redfin also provides a robust agent directory, making it a great tool for finding real estate professionals and leads.

guide for web scraping redfin.com using Python or Javascript

How to Scrape Redfin.com

For more on scraping Redfin see our introduction guide which covers everything you'd need to know about scraping this target.

Web Scraping Domain.com.au

Domain.com.au is one of Australia's premier real estate platforms, offering extensive property listings across the buy and rental markets. It provides detailed insights into property prices, market trends, and suburb profiles.

Domain.com.au is also a valuable resource for connecting with real estate agents through its comprehensive agent directory.

guide for web scraping domain.com.au using Python or Javascript

How to Scrape Domain.com.au

For more on scraping Domain, see our introduction guide which covers everything you'd need to know about scraping this target.

Web Scraping Realestate.com.au

Realestate.com.au is Australia's leading real estate platform, featuring an extensive range of property listings across the buy, rent, and share markets. It provides rich data on property values, market trends, and detailed suburb insights.

Realestate.com.au is also a top choice for discovering real estate agents, with a robust directory for connecting with professionals in the industry.

guide for web scraping realestate.com.au using Python or Javascript

How to Scrape Realestate.com.au

For more on scraping RealEstate.com.au, see our introduction guide which covers everything you'd need to know about scraping this target.

Web Scraping Immowelt.de

Immowelt.de is one of Germany's top real estate platforms, offering a wide selection of properties for sale and rent across the country. It provides comprehensive property details, market data, and useful tools for buyers, renters, and investors.

Immowelt.de is also a valuable resource for finding real estate agents, featuring a directory to connect users with professionals in the German real estate market.

guide for web scraping immowelt.de using Python or Javascript

How to Scrape Immowelt.de

For more on scraping Immowelt, see our introduction guide which covers everything you'd need to know about scraping this target.

Web Scraping Immoscout.ch

ImmoScout.ch is Switzerland's leading real estate platform, offering a vast array of property listings for buying, renting, and commercial use. It provides detailed property information, market insights, and tools to help users navigate the Swiss real estate market.

ImmoScout.ch is also an excellent resource for connecting with real estate agents, featuring a directory of professionals across Switzerland.

guide for web scraping immoscout.ch using Python or Javascript

How to Scrape Immoscout.ch

For more on scraping Immoscout, see our introduction guide which covers everything you'd need to know about scraping this target.

Web Scraping Homegate.ch

Homegate.ch is one of Switzerland's most popular real estate platforms, featuring an extensive selection of properties for rent and sale. It offers detailed property descriptions, pricing information, and tools to simplify the search process for buyers and renters.

Homegate.ch also provides a platform for connecting with real estate agents, making it a valuable resource for navigating the Swiss property market.

guide for web scraping homegate.ch using Python or Javascript

How to Scrape Homegate.ch

For more on scraping Homegate, see our introduction guide which covers everything you'd need to know about scraping this target.

Web Scraping Zoopla.com

Zoopla.com is one of the UK’s leading real estate platforms, offering a wide range of property listings for sale and rent. It provides detailed market insights, property value estimates, and neighborhood information to help users make informed decisions.

Zoopla.com is also a valuable resource for connecting with real estate agents through its comprehensive agent directory.

guide for web scraping zoopla.com using Python or Javascript

How to Scrape Zoopla.com

For more on scraping Zoopla.com, see our introduction guide which covers everything you'd need to know about scraping this target.

Real Estate Data Made Easy

don't let the complexities of real estate data hold your business back

from scrapfly import ScrapeConfig, ScrapflyClient, ScrapeApiResponse

client = ScrapflyClient(key="API KEY")

api_response: ScrapeApiResponse = client.scrape(
  ScrapeConfig(
    # add real estate property url
    url='https://www.zillow.com/homedetails/2839-Pacific-Ave-San-Francisco-CA-94115/15081172_zpid/',
    # enable bypass anti-scraping protection
    asp=True,
    # enable headless browser if necessary
    render_js=True,
    # use AI to extract data
    extraction_model='real_estate_property'
  )
)
# use AI extracted data
print(api_response.scrape_result['extracted_data']['data'])
# or parse the html yourself 
print(api_response.scrape_result.content)
import { 
    ScrapflyClient, ScrapeConfig 
} from 'jsr:@scrapfly/scrapfly-sdk';

const client = new ScrapflyClient({ key: "API KEY" });

let api_response = await client.scrape(
    new ScrapeConfig({
        url: 'https://www.zillow.com/homedetails/2839-Pacific-Ave-San-Francisco-CA-94115/15081172_zpid/',
        // enable bypass anti-scraping protection
        asp: true,
        // enable headless browser if necessary
        render_js: true,
        // use AI to extract data
        extraction_model: 'real_estate_property'
    })
);
// use AI extracted data
console.log(api_response.result['extracted_data']['data'])
// or parse the HTML yourself
console.log(api_response.result['content'])
http https://api.scrapfly.io/scrape \
key==$SCRAPFLY_KEY \
url==https://www.zillow.com/homedetails/2839-Pacific-Ave-San-Francisco-CA-94115/15081172_zpid/ \
asp==true \
render_js==true \
extraction_model=real_estate_property
Output
1

Send an API Request

bypass any blocking and use a real web browser
2

Get Data & Screenshots

get html, browser data and page screenshots
3

Extract Value with AI & LLM

use LLM prompts and AI auto parsers to find data
Web Scraping API Web Scraping API

Web Scraping API

Screenshot API Screenshot API

Extraction API

Screenshot API Screenshot API

Screenshot API

Web Scraping API

Web Scraping API

Unlock the Real Power of Web Scraping

Power through scraping challenges using intelligent tools that save time and maximize results with the best success rate and cutting-edge features

Extraction API

Extraction API

Realize the Potential of Your Data

Maximize your efficiency with an AI-powered extraction process designed to save you time. Effortlessly extract data with AI, LLMs, and customizable templates

Screenshot API

Screenshot API

Effortlessly Capture the Visual Web

Capture web page screenshots effortlessly using real browsers optimized for screenshots

Seamlessly Integrate with Frameworks & Platforms

Easily integrate Scrapfly with your favorite tools and platforms, or customize workflows with our Python and TypeScript SDKs.

Frequently Asked Questions

How to unblock access to Real Estate websites?

While scraping real estate websites is legal, some websites may block access to their data if they can detect robot like behavior. For this, you can fortify your scrapers against identification yourself using tools and techniques covered in our blog here or you can leave it to Web Scraping API to handle it for you!

Is web scraping real estate websites legal?

Yes, generally web scraping publicly visible data is legal in most places around the world. For more see our in-depth web scraping laws article.

What Real Estate Data can be scraped?

Real Estate websites are incredibly rich with variety of data: property listings, rental listings, prices, agent details, property area information, property history, land registry data, and much more!

What is a Web Scraping API?

Web Scraping API is a service that abstracts away the complexities and challenges of web scraping and data extraction. This allows developers to focus on creating software rather than dealing with issues like web scraping blocking and other data access challenges.

How can I access Web Scraping API?

Web Scraping API can be accessed in any http client like curl, httpie or any http client library in any programming language. For first-class support we offer Python and Typescript SDKs.

Are Proxies enough to scrape Real Estate data?

No, most modern real estate websites are capable of identifying proxies and blocking access to their public data. To bypass real estate website blocking you'll need to use combination of bypass tools and techniques or defer these steps to a service like Web Scraping API .

How to extract data from scraped Real Estate pages?

Modern real estate websites often store data in page HTML, page JSON or generate it through background requests. So, to extract full real estate datasets, it's best to use AI tools capable of understanding all of these data facets like Extraction API