Zillow Search Scraper (All-in-one) 🏡 - Pay Per Results

Zillow Search Scraper (All-in-one) (Fast & Customizable)

🚨 The power of our Zillow Search Scraper (All-in-one) lies in its ability to gather detailed insights from multiple offers with ease! 💪🏡✨ You can customize your queries by specifying city, search type, and maxitems to scrape – making it perfect for any real estate offers (sold, for sale, for rent) search! 🌍📈

The Zillow Search Scraper (All-in-One) is a powerful tool 💪 designed to extract comprehensive data about listings on Zillow. By providing the required input, you can retrieve:

1ZPID/PLID 🏡
2Business Name 📛
3Price 💸
4Location (Longitude & Latitude) 📍
5Address 📥
6Listing Link 🌐
7Listing Picture 📸
8Status 📑
9Beds, Baths, Area 📊

⚠️ This tool can extract up to 500 listings per search 📄.

If you have a specific need or want to automate in a different way, feel free to contact us via email at: randomus075@gmail.com 📧.

Key Features ✨

Extract detailed infos of offers from Zillow 🏡

Support for various home search type like for sale, rentals, sold, houses, duplex or lands 🏠📋

Customize queries to filter by city, language, pages, and more ⚙️

Download the results in multiple formats like JSON, CSV, XML, RSS, or HTML table 📥

🛠️ How to Use

-Enter Data: Provide a JSON object with the city, home type, the number of offers to scrape(e.g., Duplex, Houses ...).

-Start Scraping: Click the "Start" button to begin the scraping process. The scraper will search Zillow, gather offers data, and store it.

-Download Your Data: After extraction, download the results in your desired format (JSON, CSV, XML, etc.).

⚠️ No Data Available: If no offer match the search criteria, the scraper will return an empty dataset.

💸 Pricing

This scraper operates on a pay-per-reults basis at a cost of $1.99/1000 results.

Related Actors

If you're interested in specific specialties, such as real estate agents, photographers, inspectors, property managers, or home improvement scraping solutions, check out these related actors:

• Zillow Agent Scraper (All-in-one) 🏡🤖
• AirBNB reviews scraper (Fast & cheap) 📈
• AirBNB scraper (⭐ Fast & cheap) - Rental
• Zillow (Find a Real Estate Agent) 🏡
• Zillow (Find a Property Managers) 🏢👨‍💼👩‍💼
• Zillow (Find a Home Improvement Agent) 🛠️)
• Zillow (Find a Home Inspector Agent) 🔍
• Zillow (Find a Photographer Agent) 📸

🔑 Zillow Search Scraper (All-in-one) Input

The Zillow Search Scraper (All-in-one) requires a specific input format. Provide a JSON object with the City, the home search type and the number of offers to scrape.

1{
2  "city": "Baltimore MD",
3  "maxitems": 100,
4  "types": "For Sale (All Home Types) 🏠"
5}

📊 Zillow Search Scraper (All-in-one) Data Output

The Zillow Search Scraper (All-in-one) will extract the following information for each agent and store it in the Apify dataset. After the run is complete, you can download the data in various formats (JSON, CSV, XML, RSS, or HTML Table).

1[
2{
3        "id": 1,
4        "Zpid": "36546652",
5        "rawHomeStatus": "ForSale",
6        "imageSource": "https://photos.zillowstatic.com/fp/09cc7fb8aa53f3bfa9caf768c6e454db-p_e.jpg",
7        "Url_offer": "/homedetails/1706-Sexton-St-Baltimore-MD-21230/36546652_zpid/",
8        "streetViewURL": "N/A",
9        "Price": "$199,000",
10        "Address": "1706 Sexton St, Baltimore, MD 21230",
11        "Beds": 4,
12        "Baths": 3,
13        "Area": 1500,
14        "latitude": 39.26863,
15        "longitude": -76.65302,
16        "flexFieldText": "Powder room",
17        "buildingName": "N/A"
18    },
19    {
20        "id": 2,
21        "Zpid": "294977285",
22        "rawHomeStatus": "ForSale",
23        "imageSource": "https://photos.zillowstatic.com/fp/78e5929d5c7c8186e102a93d1bea1df2-p_e.jpg",
24        "Url_offer": "/homedetails/3414-Virginia-Ave-Baltimore-MD-21215/294977285_zpid/",
25        "streetViewURL": "N/A",
26        "Price": "$239,900",
27        "Address": "3414 Virginia Ave, Baltimore, MD 21215",
28        "Beds": 3,
29        "Baths": 3,
30        "Area": 1275,
31        "latitude": 39.34203,
32        "longitude": -76.67254,
33        "flexFieldText": "Custom cabinetry",
34        "buildingName": "N/A"
35    }
36]