Scrape property data from Realtor.com

In this tutorial, we are going to show you how to scrape property data from Realtor.com.

We will scrape data from the house detail page and scrape the title, location, price, and rating, etc with Octoparse. To follow through, you may want to use the URL in the tutorial:

https://www.realtor.com/realestateandhomes-search/Tallassee_AL

We'll use 2 tasks to get data in the detail pages.

Here are the main steps in this tutorial: 

Task 1: Extract all the URLs of detail pages on the search result pages [Download the demo task file here ]

1. "Go To Web Page" - open the target web page
2. Create a pagination loop - scrape all the results from multiple pages
3. Create a "Loop Item" - to loop extract URLs of all the listings
4. Start extraction - run the task and get data

   Task 2: Collect the product information from scraped URLs [Download the demo task file here ]

1. Input a batch of the scraped URLs - loop opens the detail pages
2. Extract data - select the data for extraction
3. Refine the data fields
4. Start extraction - run the task and get data

 

 

Task 1: Extract the detail page URLs on the search result pages

 

1. "Go To Web Page" - open the target web page

• Enter the example URL and click "Start"

2.  Create a Pagination - scrape all the results from multiple pages

• Scroll down and click the ">" button on the web page
• Click "Loop click single URL" on the Tips panel

Octoparse auto-detects AJAX applied for the click action as 3 seconds. You can modify it based on your local Internet condition (Click to know more about AJAX: Handling AJAX).

• Set up "AJAX timeout" as "5" seconds

• Double-click the "Pagination" step in the workflow
  • Copy and paste the revised XPath for the next page button:
  • //a[@aria-label="Go to next page"][not(contains(@class, "disabled"))]

• Expand the section of "Before action is performed"
• Check "Wait before action" and set the wait time as 2s
• Click "OK" to save                                                                         

 

3.  Create a "Loop Item" - to loop extract URLs of all the listings

• Click the image of the 1st item on the list
• Click the A tag on the bottom of the Tips panel (A tag defines a hyperlink, which is used to link from one page to another) and press OK
• Add a loop Item out of the extract Data showing as below

We can see some items are not selected, so we need to modify the Loop Item.

• Click of the "Loop Item"                                                                             
• Change the Loop Mode from "Fixed List" to "Variable list"
• Enter XPath //ul[@data-testid='property-list-container']/li into the text box
• Click "OK" to save
• Go to 'Extract Data' and click the gear icon

• Click to modify the URL XPath

• Click the 'Relative XPath' and Set the XPath as //a[@rel="noopener"] 

• Click 'OK' to finish

4. Start extraction - run the task and get data

• Click
• Click on the upper left side
• Select "Run task on your device" to run the task on your computer, or select “Run task in the Cloud” to run the task in the Cloud (for premium users only)

If you're a premium user or trial user, I will suggest you use "Run task in the Cloud" so that you can use the feature of associative tasks (Check this guide What are parent task and child task in Octoparse? for details).

Here is the output data.

 

 

 

Task 2: Collect the property data from scraped property URLs

1. Input a batch of the scraped URLs - loop open the detail pages

In Task 1, we have already got a list of URLs.

• Click "+ New" to start a task using Advanced Mode to build Task 2           
• Choose "Import from task" to get the URLs from Task 1

Tips! There are 4 ways to input URLs. In this tutorial, we use "Import from task" for demonstration. Please note that this one only works when the parent task is running in the Cloud. If we import from a local run data result, only 100 lines of data will be imported. To know more about importing URLs, check this guide: Batch URL input.

 

After clicking the "Save" button, you will see a loop item named "Loop URLs" be generated in the workflow.

 

2. Extract data - select the data for extraction

• Click on elements you want to scrape
• Choose "Extract text/URL/image URL of the selected element" on the Tips panel

• Click to rename the fields

 

3. Refine the data fields

To avoid data fetched to the wrong column, we will need to Customize element XPath.

• Double-click the "Extract Data" step in the workflow to revise the XPath of some data fields
• Click the icon to modify XPath
• Enter the revised XPath into the text box and click "OK" to save

Here are revised XPaths for some common data fields

• Presented_by: //div[contains(text(),'Presented')]/following-sibling::span[2]
• Brokered_by: //li[contains(text(),'Brokered')]/following-sibling::li[1]
• Price: //span[contains(@class,'price')]
• Facilities: //ul[contains(@class,'property')]
• Address: //h1[contains(@class,'address')]
• Property_type: //span[contains(text(),'Property')]/following-sibling::span[1]
• Last_sold: //span[contains(text(),'Last Sold')]/following-sibling::span[1]
• Days_on_realtor: //span[contains(text(),'Days on')]/following-sibling::span[1]
• Parcel_number: //li[contains(text(),'Parcel')]
• Source Listing Status: //li[contains(text(),'Source Listing Status')]

 

4. Start extraction - run the task and get data

• Click "Save" to save the task first
• Then, click "Run" on the upper left side
• Select "Run task on your device" to run the task on your computer, or select “Run task in the Cloud” to run the task in the Cloud (for premium users only)

 

Here is the sample output.

 

 

Author: Vanny

Editor: Yina