# Zillow Photo Downloader (`scrapers-hub/zillow-photo-downloader`) Actor Zillow photo downloader to download property photos and listing images from Zillow 🏡📥 Ideal for real estate research, property analysis, and media collection. Fast, high-quality, and easy to use. - **URL**: https://apify.com/scrapers-hub/zillow-photo-downloader.md - **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community) - **Categories:** Real estate, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### ⭐ **Zillow Photo Downloader** - Download High-Resolution Zillow Property Images 🏡📸 **Zillow Photo Downloader** is a powerful real estate scraping tool that automatically extracts **all high-resolution property photos** from Zillow listings. Simply provide one or multiple Zillow property URLs, and the scraper will collect every available image in multiple resolutions, including **JPEG**, **WebP**, and the highest-quality versions available. 💡 The best part? Just paste Zillow property links and receive organized image URLs ready for downloads, market research, real estate analysis, AI training datasets, listing monitoring, and property marketing. --- ### 🖼️ What **Zillow Photo Downloader** can I extract? Below is a quick breakdown of the data available from this **Zillow Photo Downloader** ⬇️ | Data Type 📊 | Description | | -------------------------- | ------------------------------------------- | | **Property Photos** | All property images from the Zillow listing | | **High-Resolution Images** | Highest-quality image URLs available | | **JPEG Images** | Direct JPEG image URLs | | **WebP Images** | Direct WebP image URLs | | **Property ZPID** | Zillow property identifier | | **Property URL** | Canonical Zillow property URL | | **Image Resolutions** | Multiple image sizes and resolutions | | **Photo Index** | Position of each photo in gallery | | **Photo Metadata** | Resolution and source information | | **Image Counts** | Total photos and image statistics | ⏱ Perfect for real estate investors, agents, researchers, developers, marketers, and property analytics teams. --- ### 🧩 Input Parameters #### Example Input JSON ```json { "propertyUrls": [ "https://www.zillow.com/homedetails/3161-Ala-Ilima-St-APT-509-Honolulu-HI-96818/82443556_zpid/" ] } ```` #### Input Parameters Table | Parameter | Description | | ---------------- | --------------------------------------------------- | | **propertyUrls** | List of Zillow property URLs to scrape images from. | *** ### 📤 Output Format #### Example Output JSON ```json [ { "success": true, "zpid": "82443556", "propertyUrl": "https://www.zillow.com/homedetails/82443556_zpid/", "inputUrl": "https://www.zillow.com/homedetails/3161-Ala-Ilima-St-APT-509-Honolulu-HI-96818/82443556_zpid/", "hiResImage": "https://photos.zillowstatic.com/fp/example.webp", "totalPhotos": 42, "jpegImagesCount": 42, "webpImagesCount": 42, "jpegImages": [ "https://photos.zillowstatic.com/fp/image1.jpg" ], "webpImages": [ "https://photos.zillowstatic.com/fp/image1.webp" ], "photos": [ { "photoIndex": 1, "jpeg": [...], "webp": [...] } ] } ] ``` #### Output Fields Table | Field | Description | | ------------------------- | --------------------------------------- | | **success** | Indicates successful extraction | | **zpid** | Zillow property ID | | **propertyUrl** | Canonical Zillow property URL | | **inputUrl** | Original input URL | | **hiResImage** | Primary high-resolution image | | **totalPhotos** | Total photos found | | **jpegImagesCount** | Number of JPEG images | | **webpImagesCount** | Number of WebP images | | **jpegImages** | List of JPEG image URLs | | **webpImages** | List of WebP image URLs | | **firstPhotoResolutions** | Available resolutions for first photo | | **photos** | Detailed image metadata and resolutions | *** ### ⚙️ Key Features of the **Zillow Photo Downloader** ✨ #### 🏡 Download Every Zillow Property Photo Extract every available image from Zillow listings, including interior, exterior, aerial, and neighborhood photos. #### 📸 High-Resolution Image Collection Automatically retrieves the highest-quality versions of property photos available on Zillow. #### 🖼️ JPEG & WebP Support Get image URLs in both: - JPEG format - WebP format for maximum compatibility and performance. #### 📊 Complete Photo Metadata Access detailed image information including: - Photo order - Resolution options - Source URLs - Image counts #### ⚡ Fast Bulk Processing Process multiple Zillow property URLs in a single run. #### 🌎 US Residential Proxy Support Built with residential proxy infrastructure to improve reliability and access to Zillow property pages. #### 📦 Structured JSON Output Results are delivered in clean JSON format for easy integration with: - Real estate CRMs - Data warehouses - Property databases - AI pipelines - Analytics dashboards #### 🔄 Scalable Architecture Suitable for both individual property downloads and large-scale real estate data collection projects. *** ### 🛠️ How to use the **Zillow Photo Downloader** (Step-by-Step) 📘 Follow these simple steps: #### 1. Log in to Apify Create a free Apify account or sign in. #### 2. Open the Actor Search for **Zillow Photo Downloader** in the Apify Store. #### 3. Enter Zillow Property URLs Paste one or more Zillow property links. Example: ```json { "propertyUrls": [ "https://www.zillow.com/homedetails/3161-Ala-Ilima-St-APT-509-Honolulu-HI-96818/82443556_zpid/" ] } ``` #### 4. Run the Actor 🚀 Click **Start** and allow the scraper to process the listings. #### 5. Download Results Export image data as: - JSON - CSV - Excel - API response *** ### 🎯 Use Cases: What can you do with the **Zillow Photo Downloader**? #### 🏠 Real Estate Market Research Collect property photos for market analysis and property comparisons. #### 📊 Property Dataset Creation Build large-scale image datasets for machine learning and AI projects. #### 🤖 Computer Vision Training Gather real estate image data for classification and recognition models. #### 🏢 Real Estate Investment Analysis Analyze property conditions, renovations, and design trends. #### 📸 Listing Monitoring Track image changes across property listings over time. #### 🏡 Brokerage Marketing Download property images for internal research and presentation purposes. #### 🔍 Competitive Analysis Study listing quality and photography trends across markets. #### 📈 Real Estate Analytics Combine images with property data for deeper insights. #### 🧠 AI-Powered Property Valuation Use visual property features as part of automated valuation models. *** ### 💎 Why choose us? Choosing our **Zillow Photo Downloader** gives you: - ⚡ Fast Zillow image extraction - 🖼️ High-resolution photo downloads - 📦 Bulk URL processing - 🌎 US residential proxy support - 📊 Detailed image metadata - 🔄 Reliable large-scale scraping - 📥 Clean structured output - 🏡 Zillow property coverage nationwide Whether you're a real estate investor, analyst, brokerage, startup, researcher, or developer, this scraper makes Zillow image collection simple and scalable. *** ### 📊 How many property photos can you scrape with **Zillow Photo Downloader**? The scraper is designed for both small and enterprise-scale operations. You can scrape: - **Single properties** with 10–100 photos - **Hundreds of listings** in bulk - **Thousands of properties** through automation workflows The total number of images depends on: - Number of Zillow URLs provided - Photos available per property - Runtime configuration - Proxy availability Many Zillow properties contain: - 20–50 images - 50–100+ images for premium listings - Multiple image resolutions for each photo This makes the scraper ideal for both research projects and large-scale property image collection. *** ### ⚖️ Is it legal to scrape Zillow property photos? The scraper extracts publicly available information from Zillow property listings. Always ensure that your use of scraped data complies with: - Zillow Terms of Service - Copyright regulations - Local laws and regulations - Internal compliance policies This tool is intended for legitimate business, research, analytics, monitoring, and educational purposes. Always verify your intended use before redistributing property images. *** ### ❓ FAQ — Zillow Photo Downloader #### 1. Does this scraper download actual image files? It extracts direct image URLs, including high-resolution versions that can be downloaded programmatically. #### 2. Can I scrape multiple Zillow properties at once? Yes. Simply provide multiple URLs in the `propertyUrls` array. #### 3. Does it return high-resolution photos? Yes. The scraper collects the highest-quality image URLs available. #### 4. Are both JPEG and WebP images supported? Yes. Both formats are extracted whenever available. #### 5. Does it provide image metadata? Absolutely. Resolution information and photo indexes are included. #### 6. Can I use it for AI datasets? Yes. Many users use Zillow image data for machine learning, computer vision, and property analysis projects. #### 7. What output formats are available? Results can be exported as JSON, CSV, Excel, or consumed via API. #### 8. Does it support proxy rotation? Yes. The actor uses US residential proxies for improved reliability when accessing Zillow listings. # Actor input Schema ## `propertyUrls` (type: `array`): List of Zillow property URLs to scrape. ## Actor input object example ```json { "propertyUrls": [ "https://www.zillow.com/homedetails/3161-Ala-Ilima-St-APT-509-Honolulu-HI-96818/82443556_zpid/" ] } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "propertyUrls": [ "https://www.zillow.com/homedetails/3161-Ala-Ilima-St-APT-509-Honolulu-HI-96818/82443556_zpid/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapers-hub/zillow-photo-downloader").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "propertyUrls": ["https://www.zillow.com/homedetails/3161-Ala-Ilima-St-APT-509-Honolulu-HI-96818/82443556_zpid/"] } # Run the Actor and wait for it to finish run = client.actor("scrapers-hub/zillow-photo-downloader").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "propertyUrls": [ "https://www.zillow.com/homedetails/3161-Ala-Ilima-St-APT-509-Honolulu-HI-96818/82443556_zpid/" ] }' | apify call scrapers-hub/zillow-photo-downloader --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapers-hub/zillow-photo-downloader", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zillow Photo Downloader", "description": "Zillow photo downloader to download property photos and listing images from Zillow 🏡📥 Ideal for real estate research, property analysis, and media collection. Fast, high-quality, and easy to use.", "version": "0.1", "x-build-id": "cTUIjCq4zIvkQSfw2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers-hub~zillow-photo-downloader/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers-hub-zillow-photo-downloader", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapers-hub~zillow-photo-downloader/runs": { "post": { "operationId": "runs-sync-scrapers-hub-zillow-photo-downloader", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapers-hub~zillow-photo-downloader/run-sync": { "post": { "operationId": "run-sync-scrapers-hub-zillow-photo-downloader", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "propertyUrls" ], "properties": { "propertyUrls": { "title": "Zillow Property URLs", "type": "array", "description": "List of Zillow property URLs to scrape.", "items": { "type": "string" } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```