# PadMapper Rental Scraper - Apartments & Houses (`benthepythondev/padmapper-rental-scraper`) Actor Scrape rental listings from PadMapper: price, beds/baths, address, location, amenities, pets, contact phone and a lead-quality score. Search any US/Canada city by property type and price. Fast and reliable via PadMapper's own JSON API (no browser). - **URL**: https://apify.com/benthepythondev/padmapper-rental-scraper.md - **Developed by:** [ben](https://apify.com/benthepythondev) (community) - **Categories:** Real estate, Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## 🏙️ PadMapper Rental Scraper Scrape rental listings from PadMapper — price, beds/baths, address, neighborhood, coordinates, amenities, pet policy, contact phone and a built-in **lead-quality score** — for any US or Canadian city. Powered by PadMapper's own JSON search API, so it's fast and reliable: no browser, no login, no API key. Built for real-estate lead generation, rental market research, and price/inventory tracking. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n. ### 🔎 What is the PadMapper Rental Scraper? Give it a city (e.g. "san-francisco-ca") and a property type and it returns matching rental listings as structured rows, paginated to your requested limit — each scored 0-100 for lead quality. #### What data does it extract? - **Name / building**, full **address**, street, city, state, zip, neighborhood - **Latitude / longitude** - **Price** (min/max monthly rent) - **Beds** and **baths** (min/max) - **Property type**, **amenities** and **pet policy** - **Contact phone**, agent and brokerage (when listed) - **Date available** and fee flag - **Lead score** (0-100) and listing URL ### ⬇️ Input | Field | Type | Description | |-------|------|-------------| | `location` | string | City slug, e.g. `san-francisco-ca`, `new-york-ny`. | | `propertyType` | string | apartments, houses, condos, townhouses or rooms. | | `minPrice` / `maxPrice` | integer | Monthly rent range. | | `minBeds` / `maxBeds` | integer | Bedroom range (0 = studio). | | `maxListings` | integer | Max listings to return. Default `50`. | | `includePhotos` | boolean | Include image IDs and count. | #### Example input ```json { "location": "austin-tx", "propertyType": "apartments", "minPrice": 1500, "maxPrice": 3000, "maxListings": 200 } ```` ### ⬆️ Output One record per listing: ```json { "source": "padmapper.com", "listing_id": 61991825, "url": "https://www.padmapper.com/buildings/...", "name": "The Hudson Apartments", "address": "2 Townsend St, San Francisco, CA 94107", "city": "San Francisco", "state": "CA", "zipcode": "94107", "neighborhood": "South Beach", "latitude": 37.78, "longitude": -122.39, "price_min": 2895, "price_max": 4200, "beds_min": 0, "beds_max": 2, "baths_min": 1, "baths_max": 2, "property_type": "Apartment", "amenities": ["In-unit laundry", "Parking", "Gym"], "pets_allowed": ["Dogs", "Cats"], "phone": "+1-415-555-0100", "date_available": "2026-07-01", "lead_score": 78 } ``` ### 💡 Use cases - 🎯 **Real-estate lead generation** — build lists of rentals with contact phones, ranked by lead score. - 📊 **Rental market research** — track prices, inventory and amenities by city. - 📉 **Price monitoring** — schedule runs and detect rent changes. - 🤖 **Automation** — feed listings into your CRM via Make/Zapier/n8n. ### ❓ FAQ **Do I need an API key or login?** No — it uses PadMapper's public JSON search API. **Which areas are covered?** US and Canadian cities — pass the city slug. **Can I filter by price and beds?** Yes — set min/max price and beds. **What is the lead score?** A 0-100 quality estimate from rating, verification, amenities and price. **Do I get contact info?** Phone, agent and brokerage are included when the listing provides them. **How does pricing work?** Pay per listing returned. No subscription. **Is it legal?** It collects publicly available rental listings. Scrape responsibly, respect PadMapper's terms, and follow privacy/anti-spam laws (GDPR/CAN-SPAM) when contacting anyone. ### ⚙️ How it works The PadMapper Scraper talks directly to PadMapper's own search API and returns clean, structured rows — there is no headless browser, no login and no API key to juggle. That keeps each run fast, cheap and dependable, and it's why the actor keeps passing its automated daily health check instead of breaking on an anti-bot wall. You point it at a search (and optional filters), tell it how many results you want, and it paginates through the results automatically until it reaches your limit, de-duplicating as it goes. Whether you need 20 rows for a quick check or thousands for a full market sweep, the same input shape works — only `maxResults` changes. ### 👥 Who uses PadMapper data? Rental listings from PadMapper across the US and Canada are valuable to renters, property managers, real-estate investors and lead-gen agencies. A market analyst tracks how prices and inventory move week over week; an agency builds targeted contact lists and enriches its CRM; an investor screens for under-priced stock; a proptech or AI product feeds the structured data into a model, dashboard or app. Because every record is plain JSON with consistent field names, it drops straight into whatever stack you already run — spreadsheets, a database, a BI tool or an LLM pipeline — with no custom parsing. ### 📤 Export, schedule & integrate Every run is saved to a dataset you can export to **JSON, CSV, Excel, XML or RSS**, or pull through the **Apify API**. Wire it into **Make, Zapier, n8n, Google Sheets, Slack** or your **own database**, run it on a **schedule** (hourly, daily or weekly) so your data stays fresh, and call it from AI agents through the **Apify MCP server**. Combine it with the related scrapers below to cover several markets from one workflow. ### 💡 Tips for best results - Start with a small `maxResults` to preview the shape of the data, then scale up. - Narrow the search (location, type, price range) for more relevant, higher-quality rows. - Schedule recurring runs and diff the output to catch price drops and new rental listings early. - Always respect the source's terms of use and local privacy/anti-spam law (e.g. GDPR) when storing or contacting anyone. ### ❓ More FAQ **How fresh is the data?** It is scraped live on every run, so it reflects what is on PadMapper at that moment. Schedule runs to keep a fresh copy. **Can I get more than the default number of results?** Yes — raise `maxResults`; the actor paginates automatically up to the amount you ask for. **Can I run it automatically?** Yes — use Apify Schedules (cron) to run it hourly, daily or weekly with no manual steps. **Are duplicates removed?** Yes — records are de-duplicated within each run by their unique id. **Which export formats are supported?** JSON, CSV, Excel, XML and RSS, plus programmatic access via the Apify API. **Can I use it with AI agents or LLMs?** Yes — the dataset is available through the Apify API and the Apify MCP server, so agents can call it directly. ### 🔗 You might also like - [Craigslist Real Estate Scraper](https://apify.com/benthepythondev/craigslist-real-estate-scraper) — FSBO listings & rentals. - [Zumper Rental Scraper](https://apify.com/benthepythondev/zumper-rental-scraper) — apartments + lead scores. - [Real Estate Agent Lead Scraper](https://apify.com/benthepythondev/real-estate-agent-lead-scraper) — agent contacts. *** **Keywords:** padmapper scraper, rental listings, apartment scraper, real estate leads, rental data, apartments for rent, rent prices, property scraper, rental market research, lead generation, housing data, rental listings api, apartment finder, real estate scraper # Actor input Schema ## `location` (type: `string`): City slug, e.g. 'san-francisco-ca', 'new-york-ny', 'austin-tx'. ## `propertyType` (type: `string`): Type of rental to search for. ## `minPrice` (type: `integer`): Minimum monthly rent. ## `maxPrice` (type: `integer`): Maximum monthly rent. ## `minBeds` (type: `integer`): Minimum number of bedrooms (0 = studio). ## `maxBeds` (type: `integer`): Maximum number of bedrooms. ## `maxListings` (type: `integer`): Maximum listings to return. ## `includePhotos` (type: `boolean`): Include listing image IDs and count. ## `listingUrls` (type: `array`): Optional: specific PadMapper search URLs to scrape instead of building from location. ## `useApifyProxy` (type: `boolean`): Use Apify RESIDENTIAL (US) proxy for higher-volume runs. ## Actor input object example ```json { "location": "san-francisco-ca", "propertyType": "apartments", "maxListings": 50, "includePhotos": true, "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 = { "location": "san-francisco-ca", "propertyType": "apartments" }; // Run the Actor and wait for it to finish const run = await client.actor("benthepythondev/padmapper-rental-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 = { "location": "san-francisco-ca", "propertyType": "apartments", } # Run the Actor and wait for it to finish run = client.actor("benthepythondev/padmapper-rental-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 '{ "location": "san-francisco-ca", "propertyType": "apartments" }' | apify call benthepythondev/padmapper-rental-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=benthepythondev/padmapper-rental-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PadMapper Rental Scraper - Apartments & Houses", "description": "Scrape rental listings from PadMapper: price, beds/baths, address, location, amenities, pets, contact phone and a lead-quality score. Search any US/Canada city by property type and price. Fast and reliable via PadMapper's own JSON API (no browser).", "version": "1.0", "x-build-id": "Cx0S8kfVi1VeG4w7g" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/benthepythondev~padmapper-rental-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-benthepythondev-padmapper-rental-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/benthepythondev~padmapper-rental-scraper/runs": { "post": { "operationId": "runs-sync-benthepythondev-padmapper-rental-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/benthepythondev~padmapper-rental-scraper/run-sync": { "post": { "operationId": "run-sync-benthepythondev-padmapper-rental-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "location": { "title": "Location", "type": "string", "description": "City slug, e.g. 'san-francisco-ca', 'new-york-ny', 'austin-tx'.", "default": "san-francisco-ca" }, "propertyType": { "title": "Property type", "enum": [ "apartments", "houses", "condos", "townhouses", "rooms" ], "type": "string", "description": "Type of rental to search for.", "default": "apartments" }, "minPrice": { "title": "Min price ($/mo)", "type": "integer", "description": "Minimum monthly rent." }, "maxPrice": { "title": "Max price ($/mo)", "type": "integer", "description": "Maximum monthly rent." }, "minBeds": { "title": "Min bedrooms", "type": "integer", "description": "Minimum number of bedrooms (0 = studio)." }, "maxBeds": { "title": "Max bedrooms", "type": "integer", "description": "Maximum number of bedrooms." }, "maxListings": { "title": "Max listings", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum listings to return.", "default": 50 }, "includePhotos": { "title": "Include photos", "type": "boolean", "description": "Include listing image IDs and count.", "default": true }, "listingUrls": { "title": "Listing/search URLs (advanced)", "type": "array", "description": "Optional: specific PadMapper search URLs to scrape instead of building from location.", "items": { "type": "string" } }, "useApifyProxy": { "title": "Use Apify proxy", "type": "boolean", "description": "Use Apify RESIDENTIAL (US) proxy for higher-volume runs.", "default": true } } }, "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 } } } } } } } } } } ```