Zillow.com Scraper
This Python-based Zillow scraper extracts property data, including sold listings, for-sale properties, and rentals. It supports search filters like location, price, and bedrooms. The tool uses proxies to prevent IP blocks and saves results in JSON format for easy integration with Python projects.
Zillow Property Scraper
This actor scrapes real estate listings from Zillow based on the provided search criteria.
Input Parameters
location(required) - City, address, or ZIP code to search for propertiesminPrice- Minimum property price in USDmaxPrice- Maximum property price in USDpropertyType- Type of property (Houses, Apartments, Condos, etc.)beds- Minimum number of bedroomsbaths- Minimum number of bathroomsmaxPages- Maximum number of pages to scrape (0 for unlimited)
Output
The actor stores results in the default dataset. Each property record contains:
- Address
- Price
- Property details (beds, baths, sqft)
- Zillow listing URL
- Additional property features
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!