# Hotpads Scraper (`tangerine_loom/hotpads-scraper`) Actor Scrape rental listings from HotPads.com. Extract price, beds, baths, address, photos, amenities, pet policy, nearby schools and more. Supports apartments, houses, condos and rooms across any US city. Fast mode or full detail mode. - **URL**: https://apify.com/tangerine\_loom/hotpads-scraper.md - **Developed by:** [wallace](https://apify.com/tangerine_loom) (community) - **Categories:** Real estate, Lead generation, E-commerce - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## HotPads.com Rental Listings Scraper **Extract structured rental listing data from [HotPads.com](https://hotpads.com)** — prices, unit details, amenities, agent contacts, photos, and more — without writing a single line of code. Works for apartments, houses, condos, townhouses, and rooms across any US city or neighbourhood. Try it on any HotPads search URL: apartments, houses, condos, or filtered searches by price, beds, or neighbourhood. ### What does HotPads Scraper do? HotPads Scraper loads HotPads.com search result pages and, optionally, visits each listing's detail page to extract the full data. It outputs one dataset row per **listing** — apartment buildings include a nested `units` array with every available unit's price, sqft, beds, baths, and availability date. Run it on Apify's infrastructure with automatic proxy rotation, scheduling, API access, and integrations to Google Sheets, Airtable, Make, Zapier, and hundreds of other tools. ### Why use HotPads Scraper? - **Real estate market research** — track rent prices across neighbourhoods over time - **Investment analysis** — compare rental yields and vacancy rates by area - **Relocation research** — gather listings across multiple cities for comparison - **Property management** — monitor competitor pricing and availability - **Lead generation** — build contact lists of landlords and property managers - **Academic research** — compile rental market datasets for housing studies ### How to use HotPads Scraper 1. **Find a search URL on HotPads.com** — navigate to any city, filter by property type, price range, or beds, then copy the URL from your browser (e.g. `https://hotpads.com/san-francisco-ca/apartments-for-rent?orderBy=score`) 2. **Open this Actor** and click **Try for free** 3. **Paste the URL** into the **Start URLs** field 4. **Set your limits** — use `Max Items` to cap results and `Max Pages` to control how many search pages to follow 5. **Choose a mode** — enable **Include Details** (default) to visit each listing page and get the full dataset — descriptions, per-unit breakdowns, lease terms, fees, pet deposits, and all search-page fields. Disable it for fast mode — search-page data only, ~10× faster, no detail page visits 6. **Click Start** and wait for results to appear in the **Output** tab 7. **Download** in JSON, CSV, Excel, or HTML — or connect via API ### Input | Field | Type | Default | Description | |---|---|---|---| | **Start URLs** | URL list | — | One or more HotPads search page URLs | | **Max Items** | integer | 0 (unlimited) | Stop after this many listings (0 = scrape all) | | **Max Pages** | integer | 40 | Search result pages to follow per URL (max 40 — HotPads hard cap) | | **Include Details** | boolean | true | When `true` (default): visits each listing's detail page — returns the full dataset including description, per-unit breakdown, fees, lease terms, and all search-page fields. When `false` (fast mode): uses search page data only — ~10× faster, fewer compute units, no detail page visits | | **Proxy Configuration** | proxy | Apify Residential US | Proxy settings — residential proxies are required to avoid blocks | **Example input:** ```json { "startUrls": [{ "url": "https://hotpads.com/san-francisco-ca/apartments-for-rent?orderBy=score" }], "maxItems": 100, "maxPages": 3, "includeDetails": true } ```` ### Output Results appear in the **Output** tab. You can download the dataset in JSON, CSV, Excel, or HTML format. #### Apartment building (includeDetails: true) One row per building with a `units` array containing every available unit: ```json { "url": "https://hotpads.com/nema-san-francisco-ca-94103-247tudg/pad", "display_name": "NEMA", "street_address": "8 10th St", "city": "San Francisco", "state": "CA", "zip": "94103", "neighborhood": "South of Market", "latitude": 37.7761933, "longitude": -122.4174695, "property_type": "large", "listing_type": "rental", "is_apartment_building": true, "price_min": 3605, "price_max": 8091, "price_display": "$3,605 - $8,091", "bedrooms_min": 0, "bedrooms_max": 2, "bathrooms_min": 1, "bathrooms_max": 2, "sqft_min": 463, "sqft_max": 1482, "description": "San Francisco's original lifestyle pioneer...", "lease_terms": "12", "total_units_in_building": 754, "special_offers": "Move-in incentives available on select residences.", "pet_policy": "Cats and Dogs Allowed", "laundry": "In Unit, Shared", "parking": "Garage, Detached Garage", "gym": true, "pool": true, "security": "Doorman, Gated Entry", "dishwasher": true, "listed_by_name": "NEMA Leasing Agent", "listed_by_company": "CH Management Services LLC", "listed_by_phone": "1-707-368-5750", "posted_date": "2018-08-08T15:37:28.458Z", "updated_date": "2026-05-06T12:05:50.052Z", "listing_source": "hotpads.com", "units": [ { "unit_number": "0829", "floorplan_name": "SA1", "floorplan_id": "fp-sa1", "beds": 0, "baths": 1, "sqft": 476, "price": 3605, "availability_date": null, "is_new_unit": false, "has_price_dropped": true, "price_drop": 145 } ] } ``` #### Single-unit listing (house, condo, townhouse, room) ```json { "url": "https://hotpads.com/1559-pershing-dr-a-san-francisco-ca-94129-xyz/pad", "display_name": "1559 Pershing Dr #A", "unit": "A", "street_address": "1559 Pershing Dr", "city": "San Francisco", "state": "CA", "zip": "94129", "neighborhood": "Presidio", "property_type": "townhouse", "listing_type": "rental", "is_apartment_building": false, "price": 4950, "bedrooms": 2, "bathrooms": 1, "sqft": 835, "availability_date": "2026-05-08", "pet_policy": "Cats and Dogs Allowed", "laundry": "Washer/Dryer Hookups", "parking": "Off Street", "dishwasher": true, "listed_by_name": "Baker Beach Apartment Homes", "listed_by_company": "The Presidio Residences", "posted_date": "2026-05-06T11:40:39.784Z", "listing_source": "hotpads.com", "units": null } ``` ### Data fields All fields below are present in **both modes** unless marked. Detail mode (`includeDetails: true`) is a strict superset — it returns every fast-mode field plus the detail-only fields. | Field | Type | Mode | Description | |---|---|---|---| | `url` | string | both | Direct link to the HotPads listing | | `display_name` | string | both | Listing name or address | | `street_address` | string | both | Street address | | `city` | string | both | City | | `state` | string | both | State abbreviation (e.g. `"CA"`) | | `zip` | string | both | ZIP code | | `neighborhood` | string | both | Neighbourhood name | | `latitude` / `longitude` | number | both | GPS coordinates | | `property_type` | string | both | `"large"`, `"house"`, `"condo"`, `"townhouse"`, etc. | | `listing_type` | string | both | `"rental"` or `"room"` | | `unit` | string | both | Unit identifier for single-unit listings (e.g. `"A"`, `"302"`) — `null` for apartment buildings | | `is_apartment_building` | boolean | both | `true` for multi-unit buildings | | `price` | number | both | Monthly rent — single-unit listings only | | `price_min` / `price_max` | number | both | Price range — apartment buildings only | | `price_display` | string | both | Formatted price string (e.g. `"$3,605 - $8,091"`) | | `bedrooms` / `bathrooms` / `sqft` | number | both | Single-unit dimensions | | `bedrooms_min/max` / `bathrooms_min/max` / `sqft_min/max` | number | both | Range — apartment buildings | | `availability_date` | string | both | Available from date (ISO 8601) or `null` = available now | | `unit_count` | number | both | Currently available units in this building | | `rental_application_status` | string | both | `"accepted"`, `"undecided"`, or `"unaccepted"` | | `student_housing` | boolean | both | Listing is targeted at student renters | | `senior_housing` | boolean | both | Age-restricted senior housing | | `military_housing` | boolean | both | Military housing | | `income_restricted` | boolean | both | Income-restricted / affordable housing | | `has_special_offers` | boolean | both | Listing has active move-in promotions | | `special_offer_label` | string | both | Short offer text e.g. `"1 month free"` | | `price_drop_count` | number | both | Number of recent price drops on this listing | | `new_unit_count` | number | both | Number of newly added units | | `room_is_furnished` | boolean | both | Room listing is furnished (room listings only) | | `has_private_bath` | boolean | both | Room has private bathroom (room listings only) | | `updated_display` | string | both | Last updated — human-readable e.g. `"2h"`, `"3 days ago"` | | `pet_policy` | string | both | Pet policy summary e.g. `"Cats and Dogs Allowed"` | | `laundry` | string | both | e.g. `"In Unit"`, `"In Unit, Shared"` | | `parking` | string | both | e.g. `"Garage"`, `"Off Street"` | | `hvac` | string | both | e.g. `"Central A/C"` | | `gym` / `pool` | boolean | both | On-site gym / pool | | `security` | string | both | e.g. `"Doorman, Gated Entry"` | | `dishwasher` | boolean | both | Dishwasher available | | `has_3d_tour` | boolean | both | 3D virtual tour available | | `photos` | string\[] | both | Array of photo URLs | | `photo_count` | number | both | Total photo count | | `listed_by_name` | string | both | Agent or landlord name | | `listed_by_company` | string | both | Property management company | | `listed_by_phone` | string | both | Contact phone number | | `is_broker_listing` | boolean | both | Listed by a broker | | `posted_date` | string | both | Original listing date (ISO 8601) | | `listing_source` | string | both | Always `"hotpads.com"` | | `description` | string | **detail only** | Full listing description | | `lease_terms` | string | **detail only** | Lease length and terms | | `fees_and_deposits` | array | **detail only** | Fee/deposit objects if provided | | `total_units_in_building` | number | **detail only** | Total units in building (apartment buildings) | | `website` | string | **detail only** | Property management website | | `special_offers` | string | **detail only** | Full move-in offer text | | `cat_allowed` / `dog_allowed` | boolean | **detail only** | Per-pet-type allowance | | `cat_deposit` / `dog_deposit` | number | **detail only** | Pet deposit amount | | `updated_date` | string | **detail only** | Last updated — ISO 8601 timestamp | | `nearby_schools` | array | **detail only** | Nearby schools — each has `name` (string) and `type` (`"primaryschool"`, `"middleschool"`, `"highschool"`, `"mixedschool"`) | | `units` | array | **detail only** | Available units — apartment buildings only | ### How much does it cost to scrape HotPads? **This actor is currently free to use.** You only pay for Apify platform compute and proxy usage from your own account credits. Apify offers a **free tier** with $5 of platform credits per month. With residential proxies enabled, typical costs are: | Listings | Mode | Estimated platform cost | |---|---|---| | 100 | Fast | ~$0.05 | | 100 | Detail | ~$0.50 | | 1,000 | Fast | ~$0.20 | | 1,000 | Detail | ~$3–5 | **Fast mode** (`includeDetails: false`) is ~10× cheaper since it skips detail page visits — ideal for large-scale price monitoring where description and per-unit breakdowns are not needed. To control costs: set `maxItems` to cap results and `maxPages` to limit search depth. ### Tips - **Multiple neighbourhoods**: add several search URLs to the Start URLs field — the scraper will process them all in one run - **Property type filtering**: use HotPads's own filters in the URL — `houses-for-rent`, `condos-for-rent`, `rooms-for-rent` all work - **Price range filtering**: filter on HotPads first (e.g. `?price=2000-4000`) to target the listings you need - **Keep data fresh**: use Apify's built-in scheduler to run the actor daily or weekly and maintain an up-to-date dataset - **Large cities**: HotPads caps at 40 pages × 40 listings = 1,600 results per search URL. For dense markets like NYC or SF, filter by neighbourhood or price band to stay within the window ### FAQ, disclaimers, and support **Is scraping HotPads legal?** This actor collects publicly available listing data for personal or business research. Always comply with HotPads's Terms of Service and applicable data protection laws in your jurisdiction. Do not use this tool to harvest personal data without a lawful basis. **Some fields are null — why?** HotPads does not always provide every field for every listing. A `null` value means the data was not available on the page, not that the scraper failed. **The scraper got blocked — what should I do?** Ensure the proxy is set to Apify Residential US proxies. Avoid very high concurrency settings. If blocks persist, try reducing `maxConcurrency` or contact support. **Can you build a custom version?** Yes — open an issue on the Issues tab or contact us directly for a custom data extraction solution tailored to your needs. # Actor input Schema ## `startUrls` (type: `array`): One or more HotPads search result URLs to scrape (e.g. city, neighbourhood, or filtered search pages). Copy the URL directly from your browser after applying any filters you need. ## `maxItems` (type: `integer`): Maximum number of individual listings to save to the dataset. Use this to control costs. Set to 0 for unlimited. ## `maxPages` (type: `integer`): How many pagination pages to follow per start URL. HotPads hard-caps at 40 pages (~1,600 listings per search). Reduce this to limit the run scope. ## `includeDetails` (type: `boolean`): When enabled (default), the scraper visits each listing's detail page to extract the full description, photos, and all unit data. Disable to collect search-page data only (faster, fewer compute units, but less data). ## `proxyConfiguration` (type: `object`): Proxy settings used to avoid blocks. Residential proxies are strongly recommended for HotPads — the default uses Apify Residential proxies (US). You can switch to a custom proxy if you have one. ## Actor input object example ```json { "startUrls": [ { "url": "https://hotpads.com/san-francisco-ca/apartments-for-rent?orderBy=score" } ], "maxItems": 10, "maxPages": 1, "includeDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `listings` (type: `string`): No description # 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": [ { "url": "https://hotpads.com/san-francisco-ca/apartments-for-rent?orderBy=score" } ], "maxItems": 10, "maxPages": 1 }; // Run the Actor and wait for it to finish const run = await client.actor("tangerine_loom/hotpads-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 = { "startUrls": [{ "url": "https://hotpads.com/san-francisco-ca/apartments-for-rent?orderBy=score" }], "maxItems": 10, "maxPages": 1, } # Run the Actor and wait for it to finish run = client.actor("tangerine_loom/hotpads-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 '{ "startUrls": [ { "url": "https://hotpads.com/san-francisco-ca/apartments-for-rent?orderBy=score" } ], "maxItems": 10, "maxPages": 1 }' | apify call tangerine_loom/hotpads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=tangerine_loom/hotpads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hotpads Scraper", "description": "Scrape rental listings from HotPads.com. Extract price, beds, baths, address, photos, amenities, pet policy, nearby schools and more. Supports apartments, houses, condos and rooms across any US city. Fast mode or full detail mode.", "version": "0.0", "x-build-id": "HKQnRHIseK6Wl0Ueg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/tangerine_loom~hotpads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-tangerine_loom-hotpads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/tangerine_loom~hotpads-scraper/runs": { "post": { "operationId": "runs-sync-tangerine_loom-hotpads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/tangerine_loom~hotpads-scraper/run-sync": { "post": { "operationId": "run-sync-tangerine_loom-hotpads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "One or more HotPads search result URLs to scrape (e.g. city, neighbourhood, or filtered search pages). Copy the URL directly from your browser after applying any filters you need.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of individual listings to save to the dataset. Use this to control costs. Set to 0 for unlimited.", "default": 0 }, "maxPages": { "title": "Max Search Pages", "minimum": 1, "maximum": 40, "type": "integer", "description": "How many pagination pages to follow per start URL. HotPads hard-caps at 40 pages (~1,600 listings per search). Reduce this to limit the run scope.", "default": 40 }, "includeDetails": { "title": "Scrape Detail Pages", "type": "boolean", "description": "When enabled (default), the scraper visits each listing's detail page to extract the full description, photos, and all unit data. Disable to collect search-page data only (faster, fewer compute units, but less data).", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings used to avoid blocks. Residential proxies are strongly recommended for HotPads — the default uses Apify Residential proxies (US). You can switch to a custom proxy if you have one.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```