The Zillow Scraper is a sophisticated tool designed to extract and organize real estate information from Zillow, one of the leading property websites in the United States. This powerful scraper offers an efficient method to collect detailed property listings, price histories, and associated information, providing valuable insights for various industries and applications.
Data Point | Description | Example |
---|---|---|
Property ID (zpid) | Unique identifier for the property | 61902313 |
Address | Full address of the property | 7613 Bluff Point Ln, Denver, NC 28037 |
Price | Current or last known price | $240,500 |
Bedrooms & Bathrooms | Number of bedrooms and bathrooms | 3 bed, 3 bath |
Living Area | Size of the living space | 1,787 sqft |
Year Built | Year the property was constructed | 2002 |
Zestimate | Zillow's estimated market value | $297,500 |
Price History | Record of price changes and sales | [Detailed history available] |
Nearby Schools | Information on local educational institutions | [List of schools with ratings] |
The Zillow Scraper is a valuable asset for various sectors, including:
The Zillow Scraper API allows you to extract real estate information from Zillow.com. This powerful tool enables developers to integrate Zillow property data into their applications, conduct real estate market analysis, or monitor property trends and pricing history.
To use the Zillow Scraper API, you'll need to authenticate your requests using your API key. The API provides four endpoints for retrieving real estate information:
Include your API key in the request headers:
Authorization: Bearer YOUR_API_KEY
The request body should be a JSON object with the following structure:
// For price-history and properties endpoints
{
"url": "https://www.zillow.com/homedetails/property-id_zpid/"
}
// For properties-by-filters endpoint
{
"filters": {
"location": "City, State",
"price_min": 100000,
"price_max": 500000,
"beds_min": 2,
"baths_min": 2
// Add other filters as needed
}
}
// For properties-by-url endpoint
{
"url": "https://www.zillow.com/homes/for_sale/..."
}
Please note that usage is subject to rate limiting. Refer to your plan details for specific limits.
Here's an example of the data you can expect to receive for the price history endpoint:
[
{
"input": {
"url": "https://www.zillow.com/homedetails/8305-Blue-Heron-Way-Raleigh-NC-27615/6468808_zpid/"
},
"url": "https://www.zillow.com/homedetails/8305-Blue-Heron-Way-Raleigh-NC-27615/6468808_zpid/",
"zpid": "6468808",
"date": "2020-11-13T00:00:00.000Z",
"event": "Sold",
"posting_is_rental": false,
"price": 440000,
"price_change_rate": 0,
"price_per_squarefoot": 127,
"source": "Doorify MLS",
"source_image": "https://photos.zillowstatic.com/fp/8f81af8b8026a5a5b638c44107c86860-zillow_web_logo_inf_11.jpg"
},
{
"input": {
"url": "https://www.zillow.com/homedetails/8305-Blue-Heron-Way-Raleigh-NC-27615/6468808_zpid/"
},
"url": "https://www.zillow.com/homedetails/8305-Blue-Heron-Way-Raleigh-NC-27615/6468808_zpid/",
"zpid": "6468808",
"date": "2020-10-09T00:00:00.000Z",
"event": "Pending sale",
"posting_is_rental": false,
"price": 440000,
"price_change_rate": 0,
"price_per_squarefoot": 127,
"source": "Fathom Realty NC, LLC"
},
// ... more price history events
]
import requests
import json
# Your API Key
api_key = 'YOUR_API_KEY'
# API Endpoint for price history
url = 'https://taskagi.net/api/real-estate/zillow-scraper/price-history'
# Headers
headers = {
'Authorization': f'Bearer {api_key}',
'Content-Type': 'application/json'
}
# Request Body
data = {
'url': 'https://www.zillow.com/homedetails/8305-Blue-Heron-Way-Raleigh-NC-27615/6468808_zpid/'
}
# Send POST request
response = requests.post(url, headers=headers, json=data)
# Check if the request was successful
if response.status_code == 200:
# Parse the JSON response
price_history = response.json()
# Print the price history information
print(json.dumps(price_history, indent=2))
else:
print(f"Error: {response.status_code}")
print(response.text)
# Example for properties by filters
url = 'https://taskagi.net/api/real-estate/zillow-scraper/properties-by-filters'
# Request Body for filters
data = {
'filters': {
'location': 'Raleigh, NC',
'price_min': 300000,
'price_max': 500000,
'beds_min': 3,
'baths_min': 2
}
}
# Send POST request
response = requests.post(url, headers=headers, json=data)
# Check if the request was successful
if response.status_code == 200:
# Parse the JSON response
properties = response.json()
# Print the properties information
print(json.dumps(properties, indent=2))
else:
print(f"Error: {response.status_code}")
print(response.text)