Zillow Scraper

This Zillow scraper is designed to provide users with complete flexibility by allowing them to use their own proxies. The scraper collects comprehensive property data such as pricing, location details, and property features, and is perfect for users needing additional control over their data extraction.

Features

• Extracts property prices, location details, and property features such as number of rooms, size, and more.
• Retrieves high-quality images of the listed properties.
• Ideal for real-time market analysis and historical data tracking.
• Easy-to-use interface with customizable scraping options.

Use Cases

• Market Research: Track trends in real estate prices and property availability.
• Investment Insights: Monitor listings for investment opportunities.
• Real Estate Agents: Keep track of your competition and stay updated with new listings.

How to Use

1. Input the Zip Code you want to scrape.
2. Provide your proxy details (Proxy URL).
3. Run the scraper to collect the data.
4. Download the results as JSON, CSV, or view them directly in Apify.

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🙌 Why Buy Through Our Affiliate Link?

• Exclusive Deals: Some providers may offer special discounts or bonuses when you use our link.
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API Request Examples

Python

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8    "zip_code": "72076",
9    "listing_type": "for_sale",
10    "pages": 1,
11    "all_homes": True,
12    "lot_land": False,
13    "apartment": False,
14    "condo": False,
15    "single_family": False,
16    "multi_family": False,
17    "townhouse": False,
18    "manufactured": False,
19    "apartment_or_condo": False,
20}
21
22# Run the Actor and wait for it to finish
23run = client.actor("rigelbytes/zillow-scraper").call(run_input=run_input)
24
25# Fetch and print Actor results from the run's dataset (if there are any)
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27    print(item)

Node.js

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with API token
4const client = new ApifyClient({
5    token: '<YOUR_API_TOKEN>',
6});
7
8// Prepare Actor input
9const input = {
10    "zip_code": "72076",
11    "listing_type": "sold",
12    "pages": 1,
13    "all_homes": true,
14    "lot_land": false,
15    "apartment": false,
16    "condo": false,
17    "single_family": false,
18    "multi_family": false,
19    "townhouse": false,
20    "manufactured": false,
21    "apartment_or_condo": false
22};
23
24(async () => {
25    // Run the Actor and wait for it to finish
26    const run = await client.actor("rigelbytes/zillow-scraper").call(input);
27
28    // Fetch and print Actor results from the run's dataset (if any)
29    console.log('Results from dataset');
30    const { items } = await client.dataset(run.defaultDatasetId).listItems();
31    items.forEach((item) => {
32        console.dir(item);
33    });
34})();

cURL

1# Set API token
2API_TOKEN=<YOUR_API_TOKEN>
3
4# Prepare Actor input
5cat > input.json <<'EOF'
6{
7  "zip_code": "72076",
8  "listing_type": "for_rent",
9  "pages": 1,
10  "all_homes": true,
11  "lot_land": false,
12  "apartment": false,
13  "condo": false,
14  "single_family": false,
15  "multi_family": false,
16  "townhouse": false,
17  "manufactured": false,
18  "apartment_or_condo": false
19}
20EOF
21
22# Run the Actor
23curl "https://api.apify.com/v2/acts/rigelbytes/zillow-scraper/runs?token=$API_TOKEN" \
24  -X POST \
25  -d @input.json \
26  -H 'Content-Type: application/json'

Output

1{
2  "zpid": "441692165",
3  "rawHomeStatusCd": "ForSale",
4  "marketingStatusSimplifiedCd": "For Sale by Agent",
5  "imgSrc": "https://photos.zillowstatic.com/fp/3aa3268688068bf0a816d72875a8c991-p_e.jpg",
6  "hasImage": true,
7  "detailUrl": "https://www.zillow.com/homedetails/11111-Jones-Metes-Bounds-Jacksonville-AR-72076/441692165_zpid/",
8  "statusType": "FOR_SALE",
9  "statusText": "Lot / Land for sale",
10  "countryCurrency": "$",
11  "price": "$170,000",
12  "unformattedPrice": 170000,
13  "address": "11111 Jones Metes Bounds, Jacksonville, AR 72076",
14  "addressStreet": "11111 Jones Metes Bounds",
15  "addressCity": "Jacksonville",
16  "addressState": "AR",
17  "addressZipcode": "72076",
18  "isUndisclosedAddress": false,
19  "lotAreaString": "48.62 acres",
20  "latLong": {
21    "latitude": 34.999207,
22    "longitude": -92.22626
23  },
24  "isZillowOwned": false,
25  "flexFieldText": "Wet weather creeks",
26  "flexFieldType": "homeInsight",
27  "hdpData": {
28    "homeInfo": {
29      "zpid": 441692165,
30      "streetAddress": "11111 Jones Metes Bounds",
31      "zipcode": "72076",
32      "city": "Jacksonville",
33      "state": "AR",
34      "latitude": 34.999207,
35      "longitude": -92.22626,
36      "price": 170000,
37      "homeType": "LOT",
38      "homeStatus": "FOR_SALE",
39      "daysOnZillow": 11,
40      "isFeatured": false,
41      "shouldHighlight": false,
42      "listing_sub_type": {
43        "is_FSBA": true
44      },
45      "isUnmappable": false,
46      "isPreforeclosureAuction": false,
47      "homeStatusForHDP": "FOR_SALE",
48      "priceForHDP": 170000,
49      "timeOnZillow": 959707000,
50      "isNonOwnerOccupied": true,
51      "isPremierBuilder": false,
52      "isZillowOwned": false,
53      "currency": "USD",
54      "country": "USA",
55      "lotAreaValue": 48.62,
56      "lotAreaUnit": "acres",
57      "isShowcaseListing": false
58    }
59  },
60  "isSaved": false,
61  "isUserClaimingOwner": false,
62  "isUserConfirmedClaim": false,
63  "pgapt": "ForSale",
64  "sgapt": "For Sale (Broker)",
65  "shouldShowZestimateAsPrice": false,
66  "has3DModel": false,
67  "hasVideo": false,
68  "isHomeRec": false,
69  "hasAdditionalAttributions": true,
70  "isFeaturedListing": false,
71  "isShowcaseListing": false,
72  "list": true,
73  "relaxed": false,
74  "info3String": "https://photos.zillowstatic.com/fp/19e7bcbe73b7e6c8d48d299d96f774fd-zillow_web_48_23.jpg",
75  "brokerName": "Crye-Leike REALTORS Conway",
76  "carouselPhotos": [
77    {
78      "url": "https://photos.zillowstatic.com/fp/3aa3268688068bf0a816d72875a8c991-p_e.jpg"
79    },
80    {
81      "url": "https://photos.zillowstatic.com/fp/852a52f7d90aa745c5f5170b5543f7e9-p_e.jpg"
82    },
83    {
84      "url": "https://photos.zillowstatic.com/fp/7748264c82f8600ac801e54e41cb5b13-p_e.jpg"
85    },
86    {
87      "url": "https://photos.zillowstatic.com/fp/122d5b123394edc7d797132bd1144385-p_e.jpg"
88    },
89    {
90      "url": "https://photos.zillowstatic.com/fp/f700330316b46cdb0f0db07286d5c637-p_e.jpg"
91    },
92    {
93      "url": "https://photos.zillowstatic.com/fp/7f6537b12990b0e4fd337d2c44a45f89-p_e.jpg"
94    },
95    {
96      "url": "https://photos.zillowstatic.com/fp/fef437be5eff5a569faa501507156b85-p_e.jpg"
97    },
98    {
99      "url": "https://photos.zillowstatic.com/fp/6e4aa44cce34e1ebe3919a2dc9711f34-p_e.jpg"
100    },
101    {
102      "url": "https://photos.zillowstatic.com/fp/118584eec93f9229bd29d65f4de441d8-p_e.jpg"
103    },
104    {
105      "url": "https://photos.zillowstatic.com/fp/e2895802f52296f5e45716c129fe5cfd-p_e.jpg"
106    },
107    {
108      "url": "https://photos.zillowstatic.com/fp/95c875b96faec02bd230d6e5926a90e8-p_e.jpg"
109    },
110    {
111      "url": "https://photos.zillowstatic.com/fp/ec22835ea068444cd9f1296bf3d88b11-p_e.jpg"
112    },
113    {
114      "url": "https://photos.zillowstatic.com/fp/9fe8c693f8d9b038e8ae4d186f053b06-p_e.jpg"
115    },
116    {
117      "url": "https://photos.zillowstatic.com/fp/1cc1021af4c404de2ee8de19e186ba04-p_e.jpg"
118    },
119    {
120      "url": "https://photos.zillowstatic.com/fp/8e31c7ae912d2d31425aa9b894290c0b-p_e.jpg"
121    },
122    {
123      "url": "https://photos.zillowstatic.com/fp/84431433f3e23bc8dd38f6d4f5a2b0f0-p_e.jpg"
124    },
125    {
126      "url": "https://photos.zillowstatic.com/fp/7f6cd803341a1f33661727dfeebe94b9-p_e.jpg"
127    },
128    {
129      "url": "https://photos.zillowstatic.com/fp/a56b1a14896ec25a40383b6c343615b8-p_e.jpg"
130    }
131  ]
132}

Requirements

• An Apify account
• Zip codes.

Get Started Today!

To start using the Zillow Listing Scraper, follow the instructions above to configure your inputs. Join the growing community of users leveraging data for insights in the real estate market!

Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.