Real estate web scraping is a feasible option for keeping track of the real estate listing accessible for agents and sellers. Being in control of scraped real estate data from the real estate websites like Redfin.com can assist you in adjusting listing prices on your website or assist you in creating the database for the business. Here, in the tutorial, we would scrape Redfin data with Python, as well as show how to scrape property data. Particularly, we will display how to extract real estate listing using the zip code.
Follow these steps to extract Redfin
Create URL of search result pages from Redfin. For instance – https://www.redfin.com/zipcode/02126
Download the HTML of search result pages using the Python Requests.
Then parse this pages using LXML as LXML helps you navigate HTML Tree Structure with Xpaths.
Then save data in the CSV file.
We will scrape the given data fields from Redfin:
Title
Street’s Name
City
Zip Code
State
Pricing
Facts & Features
URL
Real Estate Service Provider
Here is the screenshot of a few data fields that we would be scraping from Redfin
sales@xbyte.io
Mandatory Tools
Mandatory Tools
Just go through the guide for installing Python 3 with Linux at https://docs.python-guide.org/starting/install3/linux/
The Mac users may follow the guide at – https://docs.python-guide.org/starting/install3/osx/
Packages
For the data scraping tutorial with Python 3 set up, we would require some packages to download as well as parse the HTML. Here are different package necessities:
PIP for installing the given packages in the Python at (https://pip.pypa.io/en/stable/installing/)
Python LXML to parse HTML Tree Structure through Xpaths (Discover how to install it there at http://lxml.de/installation.html)
Python Requests for making requests as well as downloading HTML content for different pages at ( https://docs.pythonrequests.org/en/latest/user/install/).
Coding
We require to initially construct search results pages URL. We’ll need to make the URL manually for scraping results from the page. For instance, this is for Boston at https://www.redfin.com/zipcode/02126.
How to Run a Redfin Scraper
Suppose a script is given the name, Redfin.py. Whenever you type this script name within the terminal or command prompt using a -h usage: Redfin.py [-h] zipcode sort
positional arguments:
zipcode sort
available sort orders are :
newest : Latest property details
cheapest : Properties with cheapest price
optional arguments:
-h, --help show this help message and exit
Then you need to run a Redfin scraper with Python having arguments for sort and zip code. A sort argument is having the options ‘cheapest’ and ‘newest’ listings accessible. For instance, to get the listing of the latest properties for sale within Boston, we might run a script like:
It will make the CSV file named properties-02126.csv, which would be in a similar folder like a script. Just go through these sample data scraped from Redfin.com for above command.
python3 Redfin.py 02126 newest
Identified Limitations
This Redfin data scraper will extract property listing for the majority of zip codes given.
In case, you require any professional assistance with scraping property data from Redfin, or any other Real Estate data scraping services then you can contact X-Byte Enterprise Crawling.