Zillow Scrape: Address/URL/ZPID

Zillow Scrape: Address/URL/ZPID

Get Zestimates from the property address/zpid/url. Each row gets scraped in less than 1 second !

REAL_ESTATELEAD_GENERATIONTRAVELApify
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Zillow Property Data Scraper

This code helps you extract property details from Zillow listings. It offers flexibility, allowing you to scrape data using the following methods:

  • Property addresses
  • ZPIDs (Zillow Property Identifiers)
  • Direct Zillow property URLs

Requirements

  • Python 3: Ensure you have Python 3 installed. You can download it from https://www.python.org/.
  • Required Libraries: Install the following Python libraries using pip: 
    pip install bs4 httpx apify

Setup

  1. Clone or download the code: Get the code from your repository.
  2. Install dependencies: Run the pip install command mentioned above to install the necessary libraries.

Usage

This tool utilizes the Apify platform. To use it:

  1. Create an Apify account: Sign up for a free account at https://apify.com
  2. Configure input:
    • Under the "Input" tab of your actor, you'll see options based on the provided input schema.
    • Select either "by Property Addresses", "by ZPIDs", or "by URLs"
    • In the text box, provide one property address, ZPID, or URL per line.
  3. Run the actor: Start the actor and wait for it to finish.

Output

The scraped Zillow property data will be available in JSON/CSV/EXCEL/JSONV/XML format within the Apify platform's storage. You can download it or use the Apify API to access it.

Example Input

Notes

This scraper respects Zillow website's /robots.txt. Respect Zillow's terms of service and avoid excessively frequent requests. For large-scale scraping, Contact: sorower.work@gmail.com

Support If you have questions or issues, please contact: sorower.work@gmail.com Let me know if you have any specific sections you'd like to refine or add!

Included features

  • Apify SDK for Python - a toolkit for building Apify Actors and scrapers in Python
  • Input schema - define and easily validate a schema for your Actor's input
  • Request queue - queues into which you can put the URLs you want to scrape
  • Dataset - store structured data where each object stored has the same attributes
  • HTTPX - library for making asynchronous HTTP requests in Python
  • Beautiful Soup - library for pulling data out of HTML and XML files

To learn more about Apify and Actors, take a look at the following resources:

Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!