# 🏑 Zillow Detail Scraper (`scraper-engine/zillow-detail-scraper`) Actor 🏑 Zillow Detail Scraper extracts property details from Zillow listingsβ€”beds, baths, price, location, and more. ⚑ Fast, accurate, and easy to use for real estate research, lead gen & market analysis. βœ… - **URL**: https://apify.com/scraper-engine/zillow-detail-scraper.md - **Developed by:** [Scraper Engine](https://apify.com/scraper-engine) (community) - **Categories:** Real estate, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 Detail Scraper Turn any **Zillow detail URL** β€” or even a plain **street address** β€” into clean, structured JSON. This Actor pulls the *full* property record Zillow's own pages use: price and complete **price & tax history**, beds/baths, living area and lot size, **assigned schools**, **photo galleries**, **listing agent & MLS facts**, **nearby homes & comparable sales**, and dozens more fields. It works across **homes, apartments, buildings and communities**. ### ⭐ Why Choose Us? - **🎯 Every page type** β€” `homedetails`, `/apartments/`, `/b/` buildings and `/community/` pages, plus free-form addresses. - **πŸ’Έ Cost-efficient by design** β€” starts with a **direct connection** and only escalates the network (datacenter β†’ residential) when Zillow actually pushes back. No wasted proxy spend. - **🧱 Deep, faithful data** β€” you get the same rich object that hydrates Zillow's React app, not a thin scrape of the visible HTML. - **πŸ’Ύ Live results** β€” records are saved one-by-one as they're collected; a stopped run never loses what it already found. - **πŸ“Š Per-section output** β€” every record is tagged with the input it came from, so you can group results in the Output tab. ### ✨ Key Features | Feature | Description | |--------|-------------| | πŸ”— Bulk URLs | Paste as many detail URLs as you like | | πŸ“ Address resolution | Type `123 Main St, City, ST` β€” we find the listing | | 🏒 Building units | Optionally emit each unit in a building as its own record | | πŸ—ƒοΈ Dataset input | Feed in a Zillow search-scraper dataset and enrich every row | | πŸ›‘οΈ Smart proxy ladder | direct β†’ datacenter β†’ residential, sticky, auto-retry | | 🧾 MLS & agent facts | Listing agent, broker, MLS id, attribution | | πŸ“ˆ History | Full price history & tax history | | 🏫 Schools & comps | Assigned schools, nearby homes, comparable sales | ### πŸ“₯ Input | Field | Type | Description | |-------|------|-------------| | `startUrls` | array | Zillow detail URLs (home / apartment / building / community) | | `addresses` | array | Free-form street addresses, resolved automatically | | `propertyStatus` | string | `FOR_SALE` Β· `RECENTLY_SOLD` Β· `FOR_RENT` β€” status hint for your URLs | | `extractBuildingUnits` | string | `disabled` Β· `all` Β· `for_sale` Β· `recently_sold` Β· `for_rent` Β· `off_market` | | `searchResultsDatasetId` | string | Dataset of search results to enrich | | `proxyConfiguration` | object | Datacenter rung of the proxy ladder | ```json { "startUrls": [ { "url": "https://www.zillow.com/homedetails/17-Zelma-Dr-Greenville-SC-29617/11026031_zpid/" }, { "url": "https://www.zillow.com/apartments/san-antonio-tx/westpond/5XkVjF/" } ], "addresses": ["18 Zelma Dr, Greenville, SC 29617"], "propertyStatus": "RECENTLY_SOLD", "extractBuildingUnits": "disabled", "proxyConfiguration": { "useApifyProxy": true } } ```` ### πŸ“€ Output Each record is the full Zillow entity plus a few helper fields: - `sectionIndex` / `sourceUrl` β€” which input this record came from (for grouping) - `addressOrUrlFromInput` β€” the exact URL or address you supplied - `isValid` β€” `true` when full data was retrieved - `scrapedAt` β€” ISO timestamp - `recordType` β€” `property` or `unit` ```json { "sectionIndex": 1, "zpid": 11026031, "streetAddress": "17 Zelma Dr", "city": "Greenville", "state": "SC", "zipcode": "29617", "homeStatus": "RECENTLY_SOLD", "homeType": "SINGLE_FAMILY", "price": 235000, "bedrooms": 3, "bathrooms": 2, "livingArea": 1450, "resoFacts": { "...": "..." }, "priceHistory": [ "..." ], "taxHistory": [ "..." ], "schools": [ "..." ], "addressOrUrlFromInput": "https://www.zillow.com/homedetails/.../11026031_zpid/", "isValid": true, "scrapedAt": "2026-06-07T12:00:00.000Z" } ``` ### πŸš€ How to Use (Apify Console) 1. Log in at [console.apify.com](https://console.apify.com) β†’ **Actors**. 2. Open **Zillow Detail Scraper**. 3. Add your **URLs** and/or **addresses**, set the status & proxy options. 4. Click **Start**. 5. Watch the live logs as records stream in. 6. Open the **Output** tab β€” switch to **By Section** to group by input. 7. Export to **JSON / CSV / XLSX**. ### πŸ€– Use via API ```bash curl -X POST "https://api.apify.com/v2/acts/YOUR~zillow-detail-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"startUrls":[{"url":"https://www.zillow.com/homedetails/17-Zelma-Dr-Greenville-SC-29617/11026031_zpid/"}]}' ``` ### 🎯 Best Use Cases - Real-estate market research & comps analysis - Lead enrichment for agents and investors - Building price-history / tax datasets - Powering valuation and listing-monitoring tools ### πŸ’² Pricing This Actor uses **pay-per-event** billing β€” you're charged per result row written to the dataset, plus standard platform usage. The exact price is shown on the Actor's Store page. ### ❓ FAQ **Can I scrape by address instead of URL?** Yes β€” use the `addresses` field; each one is resolved to its detail page. **What if Zillow blocks a request?** The Actor automatically upgrades the network (datacenter β†’ residential, retried up to 3Γ—) and continues. Switches are logged. **Do apartments and buildings work?** Yes. Turn on `extractBuildingUnits` to also get each individual unit as a record. **Will a stopped run lose data?** No β€” records are saved live as they're scraped. ### βš–οΈ Cautions / Legal - Only **publicly available** data is collected. - You are responsible for compliance with Zillow's Terms of Service and applicable laws (GDPR, CCPA, etc.). - Use reasonable rate limits and scrape responsibly. ### πŸ›Ÿ Support & Feedback Questions, bugs or feature requests? Reach out at **dev.scraperengine@gmail.com** 🀝 # Actor input Schema ## `startUrls` (type: `array`): Zillow detail URLs β€” homes (`/homedetails/.../12345_zpid/`), apartments (`/apartments/...`), buildings (`/b/...`) or communities (`/community/...`). Bulk input supported β€” add as many as you like. ## `addresses` (type: `array`): Free-form street addresses to scrape, e.g. `123 Main St, City, State`. Each one is resolved to its Zillow detail page automatically. ## `propertyStatus` (type: `string`): Zillow fetches for-sale, sold and for-rent listings differently. Pick the status of your URLs to speed things up. If it's wrong, the Actor still figures out the right one β€” it just costs an extra request. ## `extractBuildingUnits` (type: `string`): For building / apartment URLs (e.g. `/b/...`), also emit each individual unit as its own record instead of just the building summary. ## `searchResultsDatasetId` (type: `string`): Optional. Pick a dataset produced by a Zillow search/ZIP scraper β€” the Actor reads its `detailUrl` / `hdpUrl` / `url` rows and scrapes full details for each. ## `proxyConfiguration` (type: `object`): Optional Apify Proxy configuration used as the mid-tier (datacenter) network. Residential is applied automatically as the final fallback. ## Actor input object example ```json { "startUrls": [ "https://www.zillow.com/homedetails/17-Zelma-Dr-Greenville-SC-29617/11026031_zpid/" ], "addresses": [ "18 Zelma Dr, Greenville, SC 29617" ], "propertyStatus": "RECENTLY_SOLD", "extractBuildingUnits": "disabled", "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "startUrls": [ "https://www.zillow.com/homedetails/17-Zelma-Dr-Greenville-SC-29617/11026031_zpid/", "https://www.zillow.com/apartments/san-antonio-tx/westpond/5XkVjF/", "https://www.zillow.com/b/Cashiers-NC/35.09787,-83.080475_ll/", "https://www.zillow.com/community/greens-at-indian-river-preserve/2072679238_zpid/" ], "addresses": [ "18 Zelma Dr, Greenville, SC 29617" ], "propertyStatus": "RECENTLY_SOLD", "extractBuildingUnits": "disabled", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("scraper-engine/zillow-detail-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "startUrls": [ "https://www.zillow.com/homedetails/17-Zelma-Dr-Greenville-SC-29617/11026031_zpid/", "https://www.zillow.com/apartments/san-antonio-tx/westpond/5XkVjF/", "https://www.zillow.com/b/Cashiers-NC/35.09787,-83.080475_ll/", "https://www.zillow.com/community/greens-at-indian-river-preserve/2072679238_zpid/", ], "addresses": ["18 Zelma Dr, Greenville, SC 29617"], "propertyStatus": "RECENTLY_SOLD", "extractBuildingUnits": "disabled", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("scraper-engine/zillow-detail-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ "https://www.zillow.com/homedetails/17-Zelma-Dr-Greenville-SC-29617/11026031_zpid/", "https://www.zillow.com/apartments/san-antonio-tx/westpond/5XkVjF/", "https://www.zillow.com/b/Cashiers-NC/35.09787,-83.080475_ll/", "https://www.zillow.com/community/greens-at-indian-river-preserve/2072679238_zpid/" ], "addresses": [ "18 Zelma Dr, Greenville, SC 29617" ], "propertyStatus": "RECENTLY_SOLD", "extractBuildingUnits": "disabled", "proxyConfiguration": { "useApifyProxy": true } }' | apify call scraper-engine/zillow-detail-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraper-engine/zillow-detail-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🏑 Zillow Detail Scraper", "description": "🏑 Zillow Detail Scraper extracts property details from Zillow listingsβ€”beds, baths, price, location, and more. ⚑ Fast, accurate, and easy to use for real estate research, lead gen & market analysis. βœ…", "version": "0.2", "x-build-id": "rZb98Q9r75gY8PbEy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraper-engine~zillow-detail-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraper-engine-zillow-detail-scraper", "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/scraper-engine~zillow-detail-scraper/runs": { "post": { "operationId": "runs-sync-scraper-engine-zillow-detail-scraper", "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/scraper-engine~zillow-detail-scraper/run-sync": { "post": { "operationId": "run-sync-scraper-engine-zillow-detail-scraper", "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", "properties": { "startUrls": { "title": "πŸ”— Zillow Detail URLs", "type": "array", "description": "Zillow detail URLs β€” homes (`/homedetails/.../12345_zpid/`), apartments (`/apartments/...`), buildings (`/b/...`) or communities (`/community/...`). Bulk input supported β€” add as many as you like.", "items": { "type": "string" } }, "addresses": { "title": "πŸ“ Addresses", "type": "array", "description": "Free-form street addresses to scrape, e.g. `123 Main St, City, State`. Each one is resolved to its Zillow detail page automatically.", "items": { "type": "string" } }, "propertyStatus": { "title": "🏷️ Listing status (for Start URLs)", "enum": [ "FOR_SALE", "RECENTLY_SOLD", "FOR_RENT" ], "type": "string", "description": "Zillow fetches for-sale, sold and for-rent listings differently. Pick the status of your URLs to speed things up. If it's wrong, the Actor still figures out the right one β€” it just costs an extra request.", "default": "RECENTLY_SOLD" }, "extractBuildingUnits": { "title": "🏒 Extract individual units from building pages", "enum": [ "disabled", "all", "for_sale", "recently_sold", "for_rent", "off_market" ], "type": "string", "description": "For building / apartment URLs (e.g. `/b/...`), also emit each individual unit as its own record instead of just the building summary.", "default": "disabled" }, "searchResultsDatasetId": { "title": "πŸ—ƒοΈ Dataset with search-scraper results", "type": "string", "description": "Optional. Pick a dataset produced by a Zillow search/ZIP scraper β€” the Actor reads its `detailUrl` / `hdpUrl` / `url` rows and scrapes full details for each." }, "proxyConfiguration": { "title": "πŸ›‘οΈ Proxy", "type": "object", "description": "Optional Apify Proxy configuration used as the mid-tier (datacenter) network. Residential is applied automatically as the final fallback." } } }, "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 } } } } } } } } } } ```