Zillow has a lot of valuable data that you can leverage to gain an edge over your competitors in real estate. You can gain market insights, run outreach campaigns, and get notifications about new listings in your target area with ease.
Surprisingly, most of the time, only huge real estate companies and brokers extract data from Zillow. And often, they get better market insights to stay at the top.
But today, you no longer need to pay expensive data providers or hire developers to scrape real estate platforms. There are visual no-code scrapers for Zillow and other platforms that will unlock access to data, which only big companies could do just a few years ago.
In this article, you will learn how to scrape Zillow without code in under 10 minutes.
The guide is practical so that we can dive into scraping right away.
Beyond scraping, we will look at methods of streamlining your daily workflows with Zillow. Meaning that you will be able to use the platform faster and ditch copy-pasting data into a spreadsheet forever.
Zillow is the most popular online real estate marketplace to buy, rent, and sell real estate in the United States. But you can use these same tools and strategies to scrape other real estate platforms as well.
And just in case you’re wondering, scraping Zillow is perfectly legal (although it may not fully comply with its terms of use).
To scrape Zillow data (or any other site), you’ll need to use a web data scraper tool. In this tutorial, we will use the Bardeen web data scraper, but there are other methods and tools mentioned in this article too.
Bardeen is a no-code workflow automation tool with a visual website data scraper.
Bardeen.ai has build over 100 ready to use web data scraper, and you can pair the scrapers with 50+ integrations to streamline your workflow.
You can scrape a single page, Zillow search, or hundreds of pages by entering their respective URLs.
What makes Bardeen unique compared to other scrapers is that it is designed to automate your daily workflows too, where you can copy a single property to a spreadsheet with one click. More about that in a second.
Now, it’s time to scrape some Zillow data.
This Zillow scrape gets a list of properties from a Zillow search.
If you have the Bardeen extension installed, pin this playbook:
Now, go to Zillow and use the search bar to refine your search.
From there, open the browser extension, and click on the playbook you’ve just pinned. You will be asked to specify a Google Sheet to add the information to.
Because search results are distributed across multiple pages, the scraper will go through each page one by one. This is called pagination.
You can click on “stop” anytime, if you don’t want all the results to be scrapped.
To scrape data in the background, check out this scraper tutorial. It’s great to extract a lot of data from Zillow.
That’s all it takes! You do your search and run the playbook. The data lands into a nicely formatted Google Sheet.
The previous playbook showed you how to get a list of properties from Zillow search.
This playbook will extract detailed information from each property page.
To scrape a single page from the currently opened tab, use this playbook:
Beyond properties, Zillow also provides data about real estate agents.
You can leverage this data for your goals (such as SMS marketing or outreach).
Similar to scraping from search, this playbook allows you to extract realtor information from a list in search.
Navigate to the “Agent Finder” and configure your search criteria. Run the playbook from that browser tab:
From the list, we will get their basic information:
There are a few alternative tools for scraping real estate data from Zillow. Feel free to explore them too.
Unlike other real estate platforms, Zillow has a free API that allows you to pull data directly from their database.
The new Zillow API Network was created to transform member sites into mini-real estate portals.
Unfortunately, Zillow API does not allow you to pull all of the data fields that are visible on their website.
You can also code your own Zillow scraper using Python and BeautifulSoup.
Here is a detailed tutorial:
Coding your own scraper is an excellent way to learn scraping. But the odds are good that you want to dominate the real estate game, not the scraping one. Building a scraper will take time and can be expensive.
Bardeen is the only visual no-code scraper on the market with pre-built scrape templates for Zillow. Still, you can check out the best no-code scraping tools in this article.
You may want to use the alternatives when you have to scrape millions of data points in the cloud.
Timing is key in real estate. Agents that reach out early get a massive advantage. Good listings get snatched up quickly.
But you’re in luck! You no longer need to waste your time manually checking real estate platforms multiple times a day.
Bardeen has a trigger for when something changes on a website.
In other words, when a listing for a new property in your zip code is posted, you can get a notification.
Here is how it works. Every 10 minutes, Bardeen will check a specific property that you are tracking on a website.
When it differs from the original, an automation gets triggered. It can be an email, an SMS, a Slack message or even a new entry in a Google Sheet.
You can learn how to set up website monitoring automations here.
Bardeen can also scrape Zillow pages periodically. So, if you want a Google Sheet with fresh listings in your zip code every morning, this workflow is for you.
All you need to do is set up with automation once, and Bardeen will fetch the data every-so-often.
Check out the scraper tutorial to set this up.
Zillow is a repository of property listings and agent data. Pricing analysis, outreach, and change tracking are the most common ways to leverage this data.
Explore these use cases to get inspiration for what you can do to leverage real estate data and gain a competitive edge.
Property pricing is established based on several factors, including the current market and historical sales prices. To find underpriced properties, real estate professionals crunch the numbers using various formulas.
But this process—reviewing thousands of properties in your neighborhood—is very tedious and time-consuming.
Scrapers solve the data problem. You can scrape thousands of properties into a spreadsheet with pre-made formulas and filter for those that you find most interesting.
If you’re a real estate reseller, numbers do matter. Reaching out to thousands of prospects manually isn’t practical when the average response rate is low.
Scrapers allow you to create outreach lists at scale for your email marketing or ringless voicemail campaign.
The best properties don’t stick around on the market. When a great opportunity comes on the market, chances are high that tons of others are looking at it, too. Speed is the key!
You want to be the first person to reach out and build a relationship, as sellers aren’t as motivated when you’re the 20th person that’s called.
You no longer need a massive budget to leverage technology in real estate.
You can use no-code scrapers to get valuable data from Zillow and gain an edge over your competitors. Reclaim your time by automating your daily workflows and eradicate copy-pasting.
In this guide, we’ve explored how to scrape Zillow. In the end, it’s only useful if you apply these teachings and take action.
Good luck! And don’t hesitate to drop a comment in our community if you need help.
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