# Zumper Housing Scraper | Apartment Rentals & Listings (`longanimous_bracken/zumper-housing-scraper`) Actor Scrape Zumper apartment rental listings by city. Returns address, price, bedrooms, bathrooms, sqft, and listing URL as clean JSON. No proxy required - works on Apify Starter plan. - **URL**: https://apify.com/longanimous\_bracken/zumper-housing-scraper.md - **Developed by:** [petteri mΓ€hΓΆnen](https://apify.com/longanimous_bracken) (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 $1.00 / 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 ## 🏒 Zumper Housing Scraper Scrape rental listings from [Zumper](https://www.zumper.com), one of the largest US rental marketplaces. Extracts apartments, rooms, and houses with full details including amenities and pricing. ### ⚑ Features - **Multi-city search** β€” scrape multiple cities in a single run - **Full listing extraction** β€” title, address, price, beds, baths, amenities, listing URL - **SPA handling** β€” PlaywrightCrawler handles Zumper's JavaScript-rendered interface - **Structured data** β€” consistent output schema across all listing types - **Configurable** β€” set max results per location ### Input | Field | Type | Default | Description | |---|---|---|---| | `locations` | string[] | `["San Francisco, CA"]` | Cities to scrape | | `maxResults` | number | `50` | Max listings per location | #### Example ```json { "locations": ["San Francisco, CA", "New York, NY"], "maxResults": 50 } ```` ### Output Each listing includes: | Field | Example | |---|---| | `title` | "Modern 1BR in SoMa" | | `address` | "123 Main St, San Francisco, CA 94105" | | `price` | "$3,500/mo" | | `beds` | "1" | | `baths` | "1" | | `amenities` | \["In-unit laundry", "Dishwasher", "Parking"] | | `link` | "https://www.zumper.com/apartments/..." | | `scraped_at` | ISO timestamp | ### Use Cases - **Rental market analysis** β€” compare prices across Zumper listings - **Lead generation** β€” find available units matching specific criteria - **Price tracking** β€” monitor rental market trends over time - **Data aggregation** β€” combine with other sources for comprehensive market views ### Performance - \~30 seconds per run (51 listings) - 4 GB RAM allocation (PlaywrightCrawler) - Handles Zumper's SPA architecture reliably ### Limitations - Zumper's SPA structure may require full page loads - Some listing details may vary by property type - Results depend on Zumper's live availability ### πŸ’¬ Quick Start for AI Assistants Copy and paste this into ChatGPT, Claude, or another AI assistant to get help using this actor: *** You are helping me use the "Zumper Housing Scraper" on Apify (actor ID: 260hZfwVeuEB6M3x6). It extracts rental listings (apartments, rooms, houses) from zumper.com across US cities. Input fields: - locations: string array, e.g. \["San Francisco, CA", "New York, NY"] - maxResults: number, max listings per location (default: 50) Output fields per listing: title, address, price, beds, baths, amenities\[], link, scraped\_at. ## Help me with the right input, output processing, or troubleshooting. ### πŸ“‹ Changelog | Version | Date | Changes | |---------|------|---------| | 0.0.12 | 2026-07-15 | Added AI assistant prompt block, enriched README with use cases and comparison table, updated actor title with keywords | | 0.0.10 | 2026-07-14 | Cloud-verified extraction β€” 51 listings in 30s, Zumper SPA crawling stable | | 0.0.1 | 2026-07-13 | Initial release β€” Zumper rental listing extraction, PlaywrightCrawler | # Actor input Schema ## `locations` (type: `array`): US cities to search. Examples: San Francisco CA, Seattle WA, New York NY. ## `maxResults` (type: `integer`): Stop after this many listings. 0 = no limit. ## Actor input object example ```json { "locations": [ "San Francisco, CA" ], "maxResults": 0 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("longanimous_bracken/zumper-housing-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 = {} # Run the Actor and wait for it to finish run = client.actor("longanimous_bracken/zumper-housing-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 '{}' | apify call longanimous_bracken/zumper-housing-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=longanimous_bracken/zumper-housing-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zumper Housing Scraper | Apartment Rentals & Listings", "description": "Scrape Zumper apartment rental listings by city. Returns address, price, bedrooms, bathrooms, sqft, and listing URL as clean JSON. No proxy required - works on Apify Starter plan.", "version": "0.0", "x-build-id": "cEgJoRX7buhhLFFKf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/longanimous_bracken~zumper-housing-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-longanimous_bracken-zumper-housing-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/longanimous_bracken~zumper-housing-scraper/runs": { "post": { "operationId": "runs-sync-longanimous_bracken-zumper-housing-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/longanimous_bracken~zumper-housing-scraper/run-sync": { "post": { "operationId": "run-sync-longanimous_bracken-zumper-housing-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": { "locations": { "title": "Locations", "type": "array", "description": "US cities to search. Examples: San Francisco CA, Seattle WA, New York NY.", "default": [ "San Francisco, CA" ], "items": { "type": "string" } }, "maxResults": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Stop after this many listings. 0 = no limit.", "default": 0 } } }, "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 } } } } } } } } } } ```