Pricing

from $10.00 / 1,000 results

Zillow Property Scraper

Scrapes Zillow listings via HomeHarvest and outputs structured data to an Apify dataset. - Scrape multiple locations in one run - Supports listing types: for sale, for rent, recently sold, pending - Filter by price range, MLS-only, max results per location - Clean output in structured JSON format

Pricing

from $10.00 / 1,000 results

Rating

0.0

(0)

Developer

Jamshaid Arif

Actor stats

Bookmarked

Total users

Monthly active users

8 days ago

Last modified

Zillow Property Scraper — Apify Actor

Scrapes Zillow property listings using HomeHarvest and outputs structured data to an Apify dataset.

Features

Multiple locations — scrape several cities/zip codes in one run
Listing types — for sale, for rent, recently sold, pending
Filters — price range, MLS-only, max results per location
Clean output — structured JSON with property details, prices, MLS info
Error handling — logs errors per-location without stopping the run

Input Example

{
    "locations": ["San Francisco, CA", "Austin, TX", "90210"],
    "listing_type": "for_sale",
    "past_days": 30,
    "min_price": 200000,
    "max_price": 1500000,
    "max_results_per_location": 50,
    "mls_only": false
}

Output Fields

Field	Description
`property_url`	Zillow listing URL
`address`	Street address
`city`	City
`state`	State
`zip_code`	ZIP code
`list_price` / `price`	Listing price
`beds`	Number of bedrooms
`baths`	Number of bathrooms
`sqft`	Square footage
`status`	Listing status
`mls`	MLS source
`mls_id`	MLS listing ID
`_scraped_at`	Timestamp of scrape
`_search_location`	Which input location matched

Deploy to Apify

Option 1: Apify CLI

npm install -g apify-cli
apify login
cd apify-zillow-scraper
apify push

Option 2: GitHub Integration

Push this repo to GitHub
In Apify Console → Actors → Create New → Link GitHub repo
Set build command (auto-detected from Dockerfile)

Option 3: Manual Upload

Zip the project folder
In Apify Console → Actors → Create New → Upload ZIP

Local Testing

pip install -r requirements.txt

# Run with test input
python test_local.py

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