# Zillow Scraper — Listings, Prices, Agents (`arpitgandhi1934/zillow-scraper`) Actor Scrape Zillow for-sale / for-rent / sold listings by city: price, price history, Zestimate, beds/baths, sqft, address, coordinates, MLS id + broker, photos, and more. - **URL**: https://apify.com/arpitgandhi1934/zillow-scraper.md - **Developed by:** [Arpit Gandhi](https://apify.com/arpitgandhi1934) (community) - **Categories:** Lead generation, Real estate, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Scraper — Listings, Prices, Zestimates & Agents **Pull thousands of Zillow listings for a whole city in one run — with prices, Zestimates, beds/baths, addresses, coordinates, photos, brokers, and deep property details — no listing URLs required.** Most Zillow tools make you feed in property URLs one by one (and run a *separate* search tool first just to collect them). This one is different: **give it a city and a listing type, and it finds and extracts every matching home for you** — for sale, for rent, or recently sold — and can enrich each one with full property detail. Discovery and detail, in a single actor. --- ### ⭐ Why this scraper - 🔎 **Search by city, not URLs** — type `"Austin, TX"`, get every listing. No URL wrangling, no second tool. - 💰 **Zestimate + Rent Zestimate on every home** — Zillow's own valuation, which most scrapers return empty. - 📈 **Full‑market coverage** — it automatically sweeps a city in tiles to blow past Zillow's on‑screen result limit, so a single run returns **thousands of unique listings**, deduped. - 🧾 **Rich fields out of the box** — price + price‑change, tax‑assessed value, beds/baths, sqft, lot, year built, exact coordinates, MLS id, broker, full photo galleries. - 🔬 **Detailed mode** — flip one switch to add parking, heating/cooling, HOA, school districts, walk/bike scores, amenities, home‑insight highlights, and the full listing description per home. - ⬇️ **Any format** — export to JSON, CSV, Excel, or XML, or pull straight from the API. --- ### 📦 What data you get **Every listing (bulk):** | Group | Fields | |---|---| | 💲 **Price & valuation** | `price`, `pricePerSqFt`, `priceChange` + `priceChangeDate`, **`zestimate`**, **`rentZestimate`**, `taxAssessedValue`, `taxAssessmentYear` | | 🛏️ **Home facts** | `beds`, `baths` (`fullBaths`/`halfBaths`), `livingArea` (sqft), `lotSize`, `yearBuilt`, `homeType` | | 📍 **Location** | `streetAddress`, `city`, `state`, `zipcode`, `country`, `latitude`, `longitude` | | 🏷️ **Status & dates** | `listingStatus` (sale/rent/sold), `listingSubType` (FSBA/FSBO…), `listingDate`, `daysOnZillow`, `isZillowOwned` | | 🧑‍💼 **Listing source** | `mlsId`, `mlsName`, `brokerName` | | 🖼️ **Media** | `photoCount`, `coverPhoto`, `photos[]` (30+/home), `hasVideos`, `has3DTour` | | 🔗 **Links** | `detailUrl`, `zpid` | **🔬 With Detailed mode on, each home also gets:** `description` · `parkingFeatures` + garage/covered capacity · `heating` · `cooling` · `hasPrivatePool` · `fireplaces` · `hoaFee` · **school districts** (elementary/middle/high) · **`walkScore` / `bikeScore` / `transitScore`** · `homeInsights` (highlight phrases) · `atAGlanceFacts` · `otherFacts` (water/sewer, security, community — when Zillow lists them) · `streetViewUrl` · high‑res photo keys · agent/broker attribution (when provided) --- ### ⚙️ Input | Field | Type | Default | Description | |---|---|---|---| | `locations` | array of strings | — (**required**) | Cities/areas to scrape, e.g. `["Austin, TX", "Phoenix, AZ"]`. Each is geolocated and swept for full coverage. | | `status` | select | `forSale` | `forSale`, `forRent`, or `sold`. | | `detailed` | boolean | `false` | Add the deep per‑home fields (parking, HVAC, schools, amenities, description…). Richer, but slower (one extra request per home). | | `maxItems` | integer | *(all)* | Cap the total number of listings. | | `proxyConfiguration` | proxy | Residential | Apify Proxy (residential recommended). | **Example input:** ```json { "locations": ["Austin, TX"], "status": "forSale", "detailed": true, "maxItems": 500 } ```` *** ### 📤 Output One row per listing. Here's a real for‑sale result (detailed mode on): ```json { "zpid": 84380951, "price": 259900, "currency": "usd", "pricePerSqFt": 145, "zestimate": 253000, "rentZestimate": 1904, "taxAssessedValue": 252139, "taxAssessmentYear": 2025, "beds": 4, "baths": 3, "fullBaths": 2, "halfBaths": 1, "livingArea": 1794, "yearBuilt": 1992, "homeType": "singleFamily", "streetAddress": "112 Rock Point Dr", "city": "Del Valle", "state": "TX", "zipcode": "78617", "latitude": 30.133451, "longitude": -97.56978, "listingStatus": "forSale", "listingSubType": { "isFSBA": true }, "listingDate": "2026-07-06", "daysOnZillow": 1, "brokerName": "Compass RE Texas, LLC", "photoCount": 15, "photos": ["https://photos.zillowstatic.com/fp/..."], "detailUrl": "https://www.zillow.com/homedetails/84380951_zpid/", "description": "Exceptional Investment Opportunity in the Heart of Del Valle!...", "parkingFeatures": ["Driveway", "Parking Lot"], "garageSpaces": 2, "heating": ["Electric", "Solar"], "cooling": ["Electric"], "fireplaces": 1, "hoaFee": null, "elementarySchoolDistrict": "Bastrop ISD", "highSchoolDistrict": "Bastrop ISD", "walkScore": 12, "bikeScore": 30, "homeInsights": ["Spacious lot", "Generously sized bedrooms", "Open-concept flow"], "atAGlanceFacts": { "Type": "Single Family Residence", "Parking": "2 Covered spaces", "Lot": "10,497 sqft", "Price/sqft": "$145" } } ``` Export as **JSON, CSV, Excel, or XML** from the Storage tab, or via the Apify API. *** ### 🎯 Use cases - **Lead generation** — build prospect lists of homes + brokers by city, filtered by price, beds, and days‑on‑market. - **Market & pricing analysis** — track inventory, price cuts, days‑on‑market, and **Zestimate vs list price** across whole metros. - **Investor sourcing** — surface `forSale` + `sold` comps with tax‑assessed value, lot size, and rent Zestimate for rental math. - **Multi‑city research** — run the same query across many cities to compare markets and spot opportunities. - **Feed your own app** — pipe fresh listing data into a CRM, dashboard, or ML pipeline via webhooks/integrations. *** ### ❓ FAQ **Do I need to provide listing URLs?** No — that's the whole point. Give it a **city**; it finds the listings. (Most Zillow tools require you to collect URLs with a separate search step first.) **How many listings can I get per city?** Thousands. It sweeps each city in tiles to get past the on‑screen result cap, and dedupes by property id. Use `maxItems` to cap. **Does it include Zestimate?** Yes — both `zestimate` and `rentZestimate` on every home. **What's "Detailed mode"?** An optional toggle that fetches each home's full detail page for the deep fields (parking, HVAC, HOA, school districts, walk/bike scores, amenities, description). It's richer but does one extra request per home, so it's slower — leave it off for fast bulk pulls, turn it on when you need depth. **Can I scrape multiple cities and for‑sale/for‑rent/sold?** Yes — pass several `locations`, and pick the `status`. Run per status if you want all three. **What export formats and integrations are supported?** JSON, CSV, Excel, XML — plus Make, Zapier, Google Sheets, Slack, webhooks, and the Apify API. # Actor input Schema ## `locations` (type: `array`): Cities / areas to scrape — e.g. \["Austin, TX", "Phoenix, AZ", "Miami, FL"]. Each is geolocated and swept (auto-tiled) for full coverage. ## `status` (type: `string`): Which listings to pull. ## `maxItems` (type: `integer`): Cap listings PER location (each location gets its own budget). E.g. 20 with 4 locations = up to 80 total. Leave empty for everything found in each. ## `detailed` (type: `boolean`): Fetch full per-listing detail: parking, HVAC, amenities, school districts, HOA, description, walk/bike scores, agent/attribution, water/sewer & more. Much richer, but one extra request per listing (slower). ## `proxyConfiguration` (type: `object`): Apify Proxy (residential recommended). ## Actor input object example ```json { "locations": [ "Austin, TX" ], "status": "forSale", "detailed": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "locations": [ "Austin, TX" ] }; // Run the Actor and wait for it to finish const run = await client.actor("arpitgandhi1934/zillow-scraper").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 = { "locations": ["Austin, TX"] } # Run the Actor and wait for it to finish run = client.actor("arpitgandhi1934/zillow-scraper").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 '{ "locations": [ "Austin, TX" ] }' | apify call arpitgandhi1934/zillow-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=arpitgandhi1934/zillow-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zillow Scraper — Listings, Prices, Agents", "description": "Scrape Zillow for-sale / for-rent / sold listings by city: price, price history, Zestimate, beds/baths, sqft, address, coordinates, MLS id + broker, photos, and more.", "version": "1.0", "x-build-id": "Gop9klpb2aGnrmHNW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/arpitgandhi1934~zillow-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-arpitgandhi1934-zillow-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/arpitgandhi1934~zillow-scraper/runs": { "post": { "operationId": "runs-sync-arpitgandhi1934-zillow-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/arpitgandhi1934~zillow-scraper/run-sync": { "post": { "operationId": "run-sync-arpitgandhi1934-zillow-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", "required": [ "locations" ], "properties": { "locations": { "title": "📍 Locations", "type": "array", "description": "Cities / areas to scrape — e.g. [\"Austin, TX\", \"Phoenix, AZ\", \"Miami, FL\"]. Each is geolocated and swept (auto-tiled) for full coverage.", "items": { "type": "string" } }, "status": { "title": "🏷️ Listing type", "enum": [ "forSale", "forRent", "sold" ], "type": "string", "description": "Which listings to pull.", "default": "forSale" }, "maxItems": { "title": "Max listings per location", "minimum": 1, "type": "integer", "description": "Cap listings PER location (each location gets its own budget). E.g. 20 with 4 locations = up to 80 total. Leave empty for everything found in each." }, "detailed": { "title": "🔎 Detailed mode (deep fields)", "type": "boolean", "description": "Fetch full per-listing detail: parking, HVAC, amenities, school districts, HOA, description, walk/bike scores, agent/attribution, water/sewer & more. Much richer, but one extra request per listing (slower).", "default": false }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Apify Proxy (residential recommended).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```