# Realtor.ca Scraper (`one-api/realtorca-scraper`) Actor Scrape Realtor.ca (Canada national MLS) — full property details, search listings by location/postal code/coordinates/polygon/URL, agent profiles, and search-box autocomplete. Backed by realtyapi.io real-time API. - **URL**: https://apify.com/one-api/realtorca-scraper.md - **Developed by:** [ONE API](https://apify.com/one-api) (community) - **Categories:** Real estate, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 listing returneds 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 ## Realtor.ca Scraper Scrape **Realtor.ca** (Canada's national MLS listings site) — full property details, search listings, agent profiles, and search-box autocomplete — all from one Actor. Backed by [realtyapi.io](https://realtyapi.io)'s real-time Realtor.ca API. ⭐️ Found this useful? Please leave 5 stars! Issues / requests: 📬 **support@realtyapi.io** --- ### What you can do | Section | What it does | Input format | |---|---|---| | 🏠 **Property Details** | Full details for a specific listing | Realtor.ca `property_id` digits, listing URL, or full street address — auto-detected per row | | 🔎 **Search Listings** | Paginated search with filters | location string, Canadian postal code, `lat,lng,radius_mi`, polygon (`lon lat,lon lat,...`), or Realtor.ca search URL | | 🔍 **Autocomplete** | Search-box suggestions (cities, postal codes, MLS, addresses) | partial query string | | 👤 **Agent Search** | Find agents by name or location | free-text query | | 👤 **Agent Details** | Full agent profile (bio, specialties, areas served, listings) | `agentId` from any agent search row | You can fill any combination of sections in a single run — leave the others empty. --- ### Output Each listing / property / agent / autocomplete suggestion is pushed as **one dataset row**, flattened to friendly columns plus a `Raw` column with the original JSON. | Mode | Input Given | Property ID | MLS Number | Price | Beds | Baths | Address | Province | Postal Code | Agent Name | Organization Name | Listing URL | Raw | |---|---|---|---|---|---|---|---|---|---|---|---|---|---| | `search/bylocation` | Toronto, Ontario (p1) | 29729754 | W13108736 | $529,999 | 2 | 2 | 1811 - 30 ELM DRIVE W\|Mississauga (Fairview), Ontario L5B0N6 | Ontario | L5B0N6 | Jane Smith | Royal LePage | https://www.realtor.ca/... | `{...}` | | `details/byid` | 29729754 | 29729754 | W13108736 | $529,999 | 2 | 2 | 1811 - 30 ELM DRIVE W\|Mississauga | Ontario | L5B0N6 | Jane Smith | Royal LePage | https://www.realtor.ca/... | `{...}` | Plus: `Price Raw` (numeric), `Half Baths`, `Size Interior`, `Land Size`, `Property Type`, `Ownership Type`, `Transaction Type`, `Latitude`, `Longitude`, `Time on Realtor`, `Inserted Date`, `Last Updated`, `Photos` (cover URL), `Photo Count`, `Agent Phone`. For nested/large fields (full photo arrays, building amenities, all agents, history, etc.) the complete upstream JSON is in the `Raw` column. --- ### Sample input ```json { "property_inputs": [ "29729754", "https://www.realtor.ca/real-estate/29729754/1811-30-elm-drive-w-mississauga-fairview", "30 Elm Drive W, Mississauga, ON" ], "search_inputs": ["Toronto, Ontario", "M5V 2T6", "43.6532,-79.3832,3"], "searchType": "For_Sale", "propertyType": "Residential", "priceRange": "min:500000,max:1500000", "beds": "2+", "sortOrder": "Newest", "pages": 2, "resultCount": 50, "autocomplete_inputs": ["Yorkville"], "agent_search_inputs": ["Toronto"], "agent_detail_inputs": ["1633952"] } ```` *** ### Search filters (apply to all `search_inputs`) - **searchType** — `For_Sale` (default) | `For_Rent` | `Sold` - **propertyType** — comma list of `Residential, Recreational, Condo, Land, Agriculture, Parking, MultiFamily, Business, Retail, Industrial, Office, Hospitality, Institutional` (Realtor.ca only accepts one PropertySearchTypeId per call; if you supply multiple, the first wins) - **priceRange / sqftRange / lotSizeRange / yearBuiltRange** — `min:X` | `max:Y` | `min:X,max:Y` - **beds / baths** — `3` (3+), `3+`, or `min:3,max:5` - **sortOrder** — `Newest`, `Oldest`, `Price_Low_to_High`, `Price_High_to_Low`, `Open_Houses_First`, `More_Photos_First`, `Virtual_Tour_First` - **pages** — how many pages to fetch (1–50). Each page = `resultCount` listings. - **resultCount** — 1–200 per page, default 50 - **ownership** — `Any` | `Freehold` | `Condo` | `TimeShare` | `Leasehold` - **soldWithinDays** — only when `searchType=Sold`; `30` / `90` / `365` / empty - **openHouseOnly / hasGarage / hasPool / hasFireplace / hasAirConditioning / publicOffersOnly** — toggles - **keywords** — free-text amenities (e.g. `waterfront, finished basement`) Filters apply to **every** `search_inputs` row in the run. *** ### Pricing **Pay per result** — you only pay for dataset items the Actor pushes. Failed inputs return a row with `Status: ERROR: ...` and are billed the same as a successful row. To cap spend, set `Max paid dataset items` on the run page. *** ### Tips - **Need just one property?** Use the `property_inputs` section — auto-detects `property_id`, URL, or address. - **Pull all listings in a city?** Use `search_inputs: ["City, Province"]` and crank `pages` (each page is up to 200 results). - **Use a lat/lng circle?** Format: `43.6532,-79.3832,3` (last value is radius in miles). - **Polygon?** `lon lat,lon lat,lon lat,...` — note longitude first (GeoJSON convention). - **Resolve a Realtor.ca URL?** Drop a search or detail URL straight into the matching section — both `byurl` modes parse the URL into the right call internally. - **Looking up agents?** Use `agent_search_inputs` for discovery, then take `id` values from the result and feed them into `agent_detail_inputs` for the full profile. # Actor input Schema ## `property_inputs` (type: `array`): Auto-detects each entry: digits → property\_id, http(s) URL → listing URL, anything else → address. Each row = 1 property detail call. ## `search_inputs` (type: `array`): Auto-detects each entry. Examples: • `Toronto, Ontario` (location) • `M5V 2T6` (postal code — Canadian format) • `43.6532,-79.3832,3` (lat,lng,radius\_miles) • `-79.40 43.65,-79.35 43.65,-79.35 43.68,-79.40 43.68` (polygon, lon-lat pairs) • `https://www.realtor.ca/map#ZoomLevel=...` (search URL) Filters below apply to every search. Each LISTING is pushed as one dataset item. ## `searchType` (type: `string`): For\_Sale (default) | For\_Rent | Sold. Realtor.ca's TransactionTypeId is mapped internally. ## `propertyType` (type: `string`): Comma-separated. Leave empty for all. Allowed: Residential, Recreational, Condo, Land, Agriculture, Parking, MultiFamily, Business, Retail, Industrial, Office, Hospitality, Institutional. Note: Realtor.ca only accepts ONE PropertySearchTypeId per call; if you supply multiple the first wins. ## `priceRange` (type: `string`): `min:500000`, `max:1500000`, or `min:500000,max:1500000`. Applied as PriceMin/Max for sales, RentMin/Max for rentals. ## `beds` (type: `string`): Examples: `3` (3+), `3+`, `min:3,max:5`. Realtor.ca uses BedRange (e.g. `3-0` = 3 or more). ## `baths` (type: `string`): Examples: `2` (2+), `2+`, `min:2,max:4`. ## `sqftRange` (type: `string`): `min:800`, `max:2500`, `min:800,max:2500` ## `lotSizeRange` (type: `string`): `min:0.25`, `max:1`, `min:0.25,max:1` ## `yearBuiltRange` (type: `string`): `min:1990`, `max:2024`, `min:1990,max:2024` ## `sortOrder` (type: `string`): How to sort search results. ## `pages` (type: `integer`): 1-based. Each page = up to `Result Count` listings. ## `resultCount` (type: `integer`): Min 1, Max 200. Default 50. ## `ownership` (type: `string`): Filter by ownership. ## `soldWithinDays` (type: `string`): Only when searchType=Sold. Allowed: 30, 90, 365 (or empty for any). ## `openHouseOnly` (type: `boolean`): Only listings with an upcoming open house. ## `hasGarage` (type: `boolean`): Only listings with a garage. ## `hasPool` (type: `boolean`): Only listings with a pool. ## `hasFireplace` (type: `boolean`): Only listings with a fireplace. ## `hasAirConditioning` (type: `boolean`): Only listings with air conditioning. ## `publicOffersOnly` (type: `boolean`): Only listings with public offer system enabled. ## `keywords` (type: `string`): Free-text amenities (e.g. `waterfront, finished basement`). ## `autocomplete_inputs` (type: `array`): Realtor.ca search-box suggestions: cities, postal codes, MLS numbers, addresses. ## `agent_search_inputs` (type: `array`): Search Realtor.ca's IndividualSearch. Each query pushes one row per matching agent. ## `agent_detail_inputs` (type: `array`): Pulled from the `id` field on any agent search result. Pushes full agent profile (bio, specialties, areas served, listings). ## Actor input object example ```json { "property_inputs": [ "29729754", "https://www.realtor.ca/real-estate/29729754/1811-30-elm-drive-w-mississauga-fairview", "30 Elm Drive W, Mississauga, ON" ], "search_inputs": [ "Toronto, Ontario" ], "searchType": "For_Sale", "propertyType": "", "priceRange": "", "beds": "", "baths": "", "sqftRange": "", "lotSizeRange": "", "yearBuiltRange": "", "sortOrder": "Newest", "pages": 1, "resultCount": 50, "ownership": "Any", "soldWithinDays": "", "openHouseOnly": false, "hasGarage": false, "hasPool": false, "hasFireplace": false, "hasAirConditioning": false, "publicOffersOnly": false, "keywords": "" } ``` # 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 = { "property_inputs": [ "29729754", "https://www.realtor.ca/real-estate/29729754/1811-30-elm-drive-w-mississauga-fairview", "30 Elm Drive W, Mississauga, ON" ], "search_inputs": [ "Toronto, Ontario" ] }; // Run the Actor and wait for it to finish const run = await client.actor("one-api/realtorca-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 = { "property_inputs": [ "29729754", "https://www.realtor.ca/real-estate/29729754/1811-30-elm-drive-w-mississauga-fairview", "30 Elm Drive W, Mississauga, ON", ], "search_inputs": ["Toronto, Ontario"], } # Run the Actor and wait for it to finish run = client.actor("one-api/realtorca-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 '{ "property_inputs": [ "29729754", "https://www.realtor.ca/real-estate/29729754/1811-30-elm-drive-w-mississauga-fairview", "30 Elm Drive W, Mississauga, ON" ], "search_inputs": [ "Toronto, Ontario" ] }' | apify call one-api/realtorca-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=one-api/realtorca-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Realtor.ca Scraper", "description": "Scrape Realtor.ca (Canada national MLS) — full property details, search listings by location/postal code/coordinates/polygon/URL, agent profiles, and search-box autocomplete. Backed by realtyapi.io real-time API.", "version": "1.0", "x-build-id": "dLF0ecJXsEZruGDI5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/one-api~realtorca-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-one-api-realtorca-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/one-api~realtorca-scraper/runs": { "post": { "operationId": "runs-sync-one-api-realtorca-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/one-api~realtorca-scraper/run-sync": { "post": { "operationId": "run-sync-one-api-realtorca-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "property_inputs": { "title": "Property ID, Realtor.ca URL, or full Address (one per line)", "type": "array", "description": "Auto-detects each entry: digits → property_id, http(s) URL → listing URL, anything else → address. Each row = 1 property detail call.", "items": { "type": "string" } }, "search_inputs": { "title": "Location, postal code, lat/lng radius, polygon, or Realtor.ca search URL (one per line)", "type": "array", "description": "Auto-detects each entry. Examples:\n• `Toronto, Ontario` (location)\n• `M5V 2T6` (postal code — Canadian format)\n• `43.6532,-79.3832,3` (lat,lng,radius_miles)\n• `-79.40 43.65,-79.35 43.65,-79.35 43.68,-79.40 43.68` (polygon, lon-lat pairs)\n• `https://www.realtor.ca/map#ZoomLevel=...` (search URL)\n\nFilters below apply to every search. Each LISTING is pushed as one dataset item.", "items": { "type": "string" } }, "searchType": { "title": "Search Type", "enum": [ "For_Sale", "For_Rent", "Sold" ], "type": "string", "description": "For_Sale (default) | For_Rent | Sold. Realtor.ca's TransactionTypeId is mapped internally.", "default": "For_Sale" }, "propertyType": { "title": "Property Type", "type": "string", "description": "Comma-separated. Leave empty for all. Allowed: Residential, Recreational, Condo, Land, Agriculture, Parking, MultiFamily, Business, Retail, Industrial, Office, Hospitality, Institutional. Note: Realtor.ca only accepts ONE PropertySearchTypeId per call; if you supply multiple the first wins.", "default": "" }, "priceRange": { "title": "Price Range", "type": "string", "description": "`min:500000`, `max:1500000`, or `min:500000,max:1500000`. Applied as PriceMin/Max for sales, RentMin/Max for rentals.", "default": "" }, "beds": { "title": "Beds", "type": "string", "description": "Examples: `3` (3+), `3+`, `min:3,max:5`. Realtor.ca uses BedRange (e.g. `3-0` = 3 or more).", "default": "" }, "baths": { "title": "Baths", "type": "string", "description": "Examples: `2` (2+), `2+`, `min:2,max:4`.", "default": "" }, "sqftRange": { "title": "Interior Sqft Range", "type": "string", "description": "`min:800`, `max:2500`, `min:800,max:2500`", "default": "" }, "lotSizeRange": { "title": "Lot Size Range (acres)", "type": "string", "description": "`min:0.25`, `max:1`, `min:0.25,max:1`", "default": "" }, "yearBuiltRange": { "title": "Year Built Range", "type": "string", "description": "`min:1990`, `max:2024`, `min:1990,max:2024`", "default": "" }, "sortOrder": { "title": "Sort Order", "enum": [ "Newest", "Oldest", "Price_Low_to_High", "Price_High_to_Low", "Open_Houses_First", "More_Photos_First", "Virtual_Tour_First" ], "type": "string", "description": "How to sort search results.", "default": "Newest" }, "pages": { "title": "Pages to fetch per search", "minimum": 1, "maximum": 50, "type": "integer", "description": "1-based. Each page = up to `Result Count` listings.", "default": 1 }, "resultCount": { "title": "Results per page", "minimum": 1, "maximum": 200, "type": "integer", "description": "Min 1, Max 200. Default 50.", "default": 50 }, "ownership": { "title": "Ownership Type", "enum": [ "Any", "Freehold", "Condo", "TimeShare", "Leasehold" ], "type": "string", "description": "Filter by ownership.", "default": "Any" }, "soldWithinDays": { "title": "Sold within (days)", "enum": [ "", "30", "90", "365" ], "type": "string", "description": "Only when searchType=Sold. Allowed: 30, 90, 365 (or empty for any).", "default": "" }, "openHouseOnly": { "title": "Open House Only", "type": "boolean", "description": "Only listings with an upcoming open house.", "default": false }, "hasGarage": { "title": "Has Garage", "type": "boolean", "description": "Only listings with a garage.", "default": false }, "hasPool": { "title": "Has Pool", "type": "boolean", "description": "Only listings with a pool.", "default": false }, "hasFireplace": { "title": "Has Fireplace", "type": "boolean", "description": "Only listings with a fireplace.", "default": false }, "hasAirConditioning": { "title": "Has Air Conditioning", "type": "boolean", "description": "Only listings with air conditioning.", "default": false }, "publicOffersOnly": { "title": "Public Offers Only", "type": "boolean", "description": "Only listings with public offer system enabled.", "default": false }, "keywords": { "title": "Keywords", "type": "string", "description": "Free-text amenities (e.g. `waterfront, finished basement`).", "default": "" }, "autocomplete_inputs": { "title": "Autocomplete query (one per line)", "type": "array", "description": "Realtor.ca search-box suggestions: cities, postal codes, MLS numbers, addresses.", "items": { "type": "string" } }, "agent_search_inputs": { "title": "Agent search query — name or location (one per line)", "type": "array", "description": "Search Realtor.ca's IndividualSearch. Each query pushes one row per matching agent.", "items": { "type": "string" } }, "agent_detail_inputs": { "title": "Agent ID (one per line)", "type": "array", "description": "Pulled from the `id` field on any agent search result. Pushes full agent profile (bio, specialties, areas served, listings).", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```