# Realtor Ca Scraper | Usage (`scrapemind/realtor-ca-scraper-usage`) Actor Extract real estate listings, property details, and agent information from realtor.ca for any city or search. Download data as JSON, CSV, or Excel for research, lead generation, or analysis. - **URL**: https://apify.com/scrapemind/realtor-ca-scraper-usage.md - **Developed by:** [ScrapeMind](https://apify.com/scrapemind) (community) - **Categories:** Real estate, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Actor **Realtor.ca Scraper** is an [Apify Actor](https://apify.com/actors) that extracts real estate listings and property details from [realtor.ca](https://www.realtor.ca/), Canada’s leading real estate platform. This actor is built with TypeScript, Crawlee, and Cheerio for fast, reliable, and customizable data extraction. --- ### Features - **Scrape property listings** from any realtor.ca search, map, or listing page. - **Extract detailed property data**: price, address, MLS number, agent info, photos, features, and more. - **Customizable start URLs**: Target specific cities, neighborhoods, or property types. - **Limit results** for faster runs or testing. - **Flat or nested output**: Choose simplified output for easy CSV/Excel export. - **Proxy support** for reliable, large-scale scraping. --- ### How It Works 1. **Input one or more realtor.ca URLs** (search, map, or listing pages). 2. The actor crawls each URL, paginates results, and extracts property data. 3. Results are saved to the Apify dataset in JSON, CSV, or Excel format. --- ### Input Parameters The actor accepts the following input fields: | Field | Type | Required | Description | |-------------------|-----------|----------|---------------------------------------------------------------------------------------------| | `startUrls` | array | Yes | List of realtor.ca URLs (search, map, or listing pages) to start scraping from. | | `getDetails` | boolean | No | If true, fetches detailed property information for each listing. Default: `false`. | | `simplifyOutput` | boolean | No | If true, outputs a simplified/flat data structure. Default: `false`. | | `maxListings` | integer | No | Maximum number of listings to scrape. Default: `1`. | | `numberOfWorkers` | integer | No | Number of concurrent workers (parallel requests). Default: `5`. | **Example input:** ```json { "startUrls": [ "https://www.realtor.ca/map#ZoomLevel=12&Center=43.6532,-79.3832" ], "getDetails": true, "simplifyOutput": false, "maxListings": 100, "numberOfWorkers": 10 } ```` *** ### Output The actor saves each property as a record in the Apify dataset. Fields include: - `Id`, `MlsNumber`, `StatusId` - `Price`, `Address`, `Longitude`, `Latitude`, `City`, `Province` - `Bedrooms`, `BathroomTotal`, `SizeInterior`, `HeatingType` - `AgentName`, `AgentPhone`, `AgentEmail` - `OrganizationName`, `OrganizationPhone` - `Photos`, `Tags`, `UploadedBy` - ...and more! ```json { "HashCode": "-1979974053", "Id": "28188903", "MlsNumber": "C12091873", "StatusId": "1", "PublicRemarks": "This modern King SUITE on King St. 1 Bedroom Sub-Penthouse Suite is next door to the infamous Lavelle Rooftop & In the heart of King street-perfect for any commute. This fully-furnished recently upgraded unit gives you a chic-tulum style vibe. Includes CN tower, City and water views. Appliances: Built In Fridge, Built Stove, Built In Cook Top, Built In Dishwasher, Spa-Like Bathroom, Stacked Washer & Dryer. Enjoy Relaxing/Entertaining on your spacious Open Balcony With Clear Unobstructed Exposure To The South (CN Tower, City Skyline & Lake). Brand New Wide Plank Hardwood Floors. Open Concept Layout With Floor To Ceiling Windows, Natural Bright Light & Modern Finishes Throughout.. - 5 Steps To King West Shops, Eateries, Fashion, Finance & Entertainment Districts, Transit Out Side Your Door & Starbucks Downstairs. Premium Window Coverings, Light Fixtures, Gym, & 24Hr Security. Amazing Roof Top Pool (Next Door). Unit is currently occupied with AAA/Excellent tenant unit Jan , 1 / 2026 @ $3,000 month. (40280776)", "LastUpdated": "2025-04-19 1:02:15 AM", "Building": { "BathroomTotal": "1", "Bedrooms": "1", "SizeInterior": "55.7414 m2", "StoriesTotal": "", "Type": "Apartment", "FloorAreaMeasurements": [ { "Area": "600+ sqft", "AreaUnformatted": "600-699 sqft", "Type": "Square Footage", "Source": "", "MeasureUnitId": "1", "TypeId": "1", "SourceId": "0", "SortBy": "1" } ], "Age": "", "CoolingType": "Central air conditioning", "ExteriorFinish": "Concrete, Steel", "FlooringType": "Hardwood", "HeatingFuel": "Natural gas", "HeatingType": "Forced air (Natural gas)", "Room": [ { "Type": "Living room", "Width": "4.67 m", "Length": "4.52 m", "Level": "Main level", "Dimension": "4.52 m x 4.67 m" }, { "Type": "Dining room", "Width": "4.67 m", "Length": "4.52 m", "Level": "Main level", "Dimension": "4.52 m x 4.67 m" }, { "Type": "Kitchen", "Width": "4.67 m", "Length": "4.52 m", "Level": "Main level", "Dimension": "4.52 m x 4.67 m" }, { "Type": "Primary Bedroom", "Width": "2.75 m", "Length": "3.45 m", "Level": "Main level", "Dimension": "3.45 m x 2.75 m" } ], "DisplayAsYears": "2", "FireplacePresent": "No", "BedroomsAboveGround": "1" }, "Land": {}, "Individual": [ { "IndividualID": 1988292, "Name": "JOE VALESIC", "Organization": { "OrganizationID": 238732, "Name": "CITYSCAPE REAL ESTATE LTD.", "Logo": "https://cdn.realtor.ca/organization/en-CA/TS638792925600000000/lowres/1200762.jpg", "Address": { "AddressText": "885 PLYMOUTH DR #2|MISSISSAUGA, Ontario L5V0B5", "PermitShowAddress": true }, "Phones": [ { "PhoneType": "Telephone", "PhoneNumber": "241-2222", "AreaCode": "905", "PhoneTypeId": "1" }, { "PhoneType": "Fax", "PhoneNumber": "241-3333", "AreaCode": "905", "PhoneTypeId": "4" } ], "Emails": [ { "ContactId": "574697246" } ], "OrganizationType": "Firm", "Designation": "Brokerage", "HasEmail": true, "PermitFreetextEmail": true, "PermitShowListingLink": true, "RelativeDetailsURL": "/office/firm/238732/cityscape-real-estate-ltd-885-plymouth-dr-2-mississauga-ontario-l5v0b5", "PhotoLastupdate": "2025-04-03 3:56:00 PM" }, "Phones": [ { "PhoneType": "Telephone", "PhoneNumber": "241-2222", "AreaCode": "905", "PhoneTypeId": "1" } ], "Emails": [ { "ContactId": "507336016" } ], "Position": "Salesperson", "PermitFreetextEmail": true, "FirstName": "JOE", "LastName": "VALESIC", "CorporationDisplayTypeId": "0", "PermitShowListingLink": true, "RelativeDetailsURL": "/agent/1988292/joe-valesic-885-plymouth-dr-2-mississauga-ontario-l5v0b5", "RankMyAgentKey": "", "RealSatisfiedKey": "", "TestimonialTreeKey": "" } ], "Property": { "Price": "$699,000", "Type": "Single Family", "Address": { "AddressText": "1304 - 629 KING STREET W|Toronto (Waterfront Communities), Ontario M5V1M5", "Longitude": "-79.4014727", "Latitude": "43.6439952", "CommunityName": "Waterfront Communities C1", "LocalLogicNeighbourHood": "Wellington Place", "PermitShowAddress": true, "City": "Toronto (Waterfront Communities)", "Province": "Ontario", "ProvinceCode": "ON" }, "Photo": [ { "SequenceId": "1", 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"https://cdn.realtor.ca/listing/TS638806213354600000/reb82/highres/3/c12091873_31.jpg", "MedResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/medres/3/c12091873_31.jpg", "LowResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/lowres/3/c12091873_31.jpg", "LastUpdated": "2025-04-19 1:02:15 AM", "TypeId": "0" }, { "SequenceId": "32", "HighResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/highres/3/c12091873_32.jpg", "MedResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/medres/3/c12091873_32.jpg", "LowResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/lowres/3/c12091873_32.jpg", "LastUpdated": "2025-04-19 1:02:15 AM", "TypeId": "0" }, { "SequenceId": "33", "HighResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/highres/3/c12091873_33.jpg", "MedResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/medres/3/c12091873_33.jpg", "LowResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/lowres/3/c12091873_33.jpg", "LastUpdated": "2025-04-19 1:02:15 AM", "TypeId": "0" }, { "SequenceId": "34", "HighResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/highres/3/c12091873_34.jpg", "MedResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/medres/3/c12091873_34.jpg", "LowResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/lowres/3/c12091873_34.jpg", "LastUpdated": "2025-04-19 1:02:15 AM", "TypeId": "0" }, { "SequenceId": "35", "HighResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/highres/3/c12091873_35.jpg", "MedResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/medres/3/c12091873_35.jpg", "LowResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/lowres/3/c12091873_35.jpg", "LastUpdated": "2025-04-19 1:02:15 AM", "TypeId": "0" }, { "SequenceId": "36", "HighResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/highres/3/c12091873_36.jpg", "MedResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/medres/3/c12091873_36.jpg", "LowResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/lowres/3/c12091873_36.jpg", "LastUpdated": "2025-04-19 1:02:15 AM", "TypeId": "0" }, { "SequenceId": "37", "HighResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/highres/3/c12091873_37.jpg", "MedResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/medres/3/c12091873_37.jpg", "LowResPath": "https://cdn.realtor.ca/listing/TS638806213354600000/reb82/lowres/3/c12091873_37.jpg", "LastUpdated": "2025-04-19 1:02:15 AM", "TypeId": "0" } ], "Parking": [ { "Name": "Underground" }, { "Name": "Garage" } ], "ParkingSpaceTotal": "0", "TypeId": "300", "OwnershipType": "Condominium/Strata", "OwnershipTypeGroupIds": [ 2 ], "ParkingType": "Underground, Garage", "PriceUnformattedValue": "699000", "ShortValue": "699K", "PriceChangeTimeOnRealtor": "", "PriceChangeTagDateUTC": "12:00:00 AM", "CommunityFeatures": "Pet Restrictions", "Features": "Balcony, Carpet Free", "LocationDescription": "King & Bathurst", "MaintenanceFee": "$517 Monthly", "ManagementCompany": "Elite", "TransactionType": "For sale", "TransactionTypeId": "2", "TaxAmount": "$2,759" }, "UploadedBy": "Toronto Regional Real Estate Board", "Business": {}, "RelativeURLEn": "/real-estate/28188903/1304-629-king-street-w-toronto-waterfront-communities-waterfront-communities-c1", "RelativeURLFr": "/immobilier/28188903/1304-629-king-street-w-toronto-waterfront-communities", "History": [], "UploadedByWebsite": "http://www.trebhome.com/", "UploadedByAddress": { "AddressText": "1400 Don Mills Road, Toronto, Ontario M3B 3N1", "PermitShowAddress": true }, "Media": [], "TimeOnRealtor": "5 hours", "IsNewListing": true, "PinchFinancial": "https://realtor.qualifynow.ca/?locale=EN_CA&province=ON&listingId=28188903​&channel=MobileApp", "InsertedDateUTC": "638806357354500000", "Tags": [ { "Label": "5 hours ago", "HTMLColorCode": "#23A1C0", "ListingTagTypeID": "1" } ] } ``` *** ### Usage #### On Apify Platform 1. Go to [Apify Console](https://console.apify.com/). 2. Create a new task using this actor. 3. Fill in the input fields as described above. 4. Run the actor and download results in your preferred format. #### Locally via CLI ```bash apify run ``` *** ### Limitations & Notes - Maximum 500 listings per URL. - Use proxies for large-scale or repeated scraping to avoid blocks. *** ### Contact Me If you need a custom web scraping solution or have any questions, feel free to [Contact me.](mailto://baqo271@gmail.com) Let’s discuss how I can help with your data needs! *** ### Support For issues or feature requests, open an issue on this repository or contact the author via Apify. *** ### SEO Keywords - realtor.ca scraper - realtor.ca API - real estate data crawler - Canada property listings scraper - real estate agent data extraction - property listings API *** **Start extracting Canadian real estate data from realtor.ca today!** # Actor input Schema ## `startUrls` (type: `array`): Add one or more URLs where the scraper should begin. These can be specific search pages, property listings, or location-based map views. ## `maxListings` (type: `integer`): Set the maximum number of result to scrape per url. Useful for limiting run time or testing. (0 to get all results) ## `numberOfWorkers` (type: `integer`): Set the number of parallel workers to speed up scraping. Increasing this value can make the process faster, but may increase the risk of being blocked. Recommended range: 1–20. ## `getDetails` (type: `boolean`): If enabled, the scraper will fetch and flatten additional nested information for each item. This makes the output more complete and easier to use in tables, CSV, or Excel exports. ## `simplifyOutput` (type: `boolean`): Enable this option to convert nested data into a flat format, making it easier to view in tables or export as CSV/Excel. ## `Proxy config` (type: `object`): Select proxies to be used by your crawler. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.realtor.ca/map#ZoomLevel=11&Center=43.708087%2C-79.376385&LatitudeMax=43.92955&LongitudeMax=-79.03306&LatitudeMin=43.48581&LongitudeMin=-79.71971&CurrentPage=2&Sort=6-D&PGeoIds=g30_dpz89rm7&GeoName=Toronto%2C%20ON&PropertyTypeGroupID=1&TransactionTypeId=2&PropertySearchTypeId=0&Currency=CAD" } ], "maxListings": 100, "numberOfWorkers": 5, "getDetails": false, "simplifyOutput": false, "Proxy config": { "useApifyProxy": false } } ``` # 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://www.realtor.ca/map#ZoomLevel=11&Center=43.708087%2C-79.376385&LatitudeMax=43.92955&LongitudeMax=-79.03306&LatitudeMin=43.48581&LongitudeMin=-79.71971&CurrentPage=2&Sort=6-D&PGeoIds=g30_dpz89rm7&GeoName=Toronto%2C%20ON&PropertyTypeGroupID=1&TransactionTypeId=2&PropertySearchTypeId=0&Currency=CAD" } ], "Proxy config": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemind/realtor-ca-scraper-usage").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 = { "startUrls": [{ "url": "https://www.realtor.ca/map#ZoomLevel=11&Center=43.708087%2C-79.376385&LatitudeMax=43.92955&LongitudeMax=-79.03306&LatitudeMin=43.48581&LongitudeMin=-79.71971&CurrentPage=2&Sort=6-D&PGeoIds=g30_dpz89rm7&GeoName=Toronto%2C%20ON&PropertyTypeGroupID=1&TransactionTypeId=2&PropertySearchTypeId=0&Currency=CAD" }], "Proxy config": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("scrapemind/realtor-ca-scraper-usage").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 '{ "startUrls": [ { "url": "https://www.realtor.ca/map#ZoomLevel=11&Center=43.708087%2C-79.376385&LatitudeMax=43.92955&LongitudeMax=-79.03306&LatitudeMin=43.48581&LongitudeMin=-79.71971&CurrentPage=2&Sort=6-D&PGeoIds=g30_dpz89rm7&GeoName=Toronto%2C%20ON&PropertyTypeGroupID=1&TransactionTypeId=2&PropertySearchTypeId=0&Currency=CAD" } ], "Proxy config": { "useApifyProxy": false } }' | apify call scrapemind/realtor-ca-scraper-usage --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemind/realtor-ca-scraper-usage", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Realtor Ca Scraper | Usage", "description": "Extract real estate listings, property details, and agent information from realtor.ca for any city or search. Download data as JSON, CSV, or Excel for research, lead generation, or analysis.", "version": "0.0", "x-build-id": "seBahhwv2E96oq9yl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemind~realtor-ca-scraper-usage/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemind-realtor-ca-scraper-usage", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemind~realtor-ca-scraper-usage/runs": { "post": { "operationId": "runs-sync-scrapemind-realtor-ca-scraper-usage", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemind~realtor-ca-scraper-usage/run-sync": { "post": { "operationId": "run-sync-scrapemind-realtor-ca-scraper-usage", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "maxListings", "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Add one or more URLs where the scraper should begin. These can be specific search pages, property listings, or location-based map views.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxListings": { "title": "Max Listings", "type": "integer", "description": "Set the maximum number of result to scrape per url. Useful for limiting run time or testing. (0 to get all results)", "default": 100 }, "numberOfWorkers": { "title": "number of workers", "minimum": 1, "maximum": 20, "type": "integer", "description": "Set the number of parallel workers to speed up scraping. Increasing this value can make the process faster, but may increase the risk of being blocked. Recommended range: 1–20.", "default": 5 }, "getDetails": { "title": "Get Detailed Data", "type": "boolean", "description": "If enabled, the scraper will fetch and flatten additional nested information for each item. This makes the output more complete and easier to use in tables, CSV, or Excel exports.", "default": false }, "simplifyOutput": { "title": "Simplify Output", "type": "boolean", "description": "Enable this option to convert nested data into a flat format, making it easier to view in tables or export as CSV/Excel.", "default": false }, "Proxy config": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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 } } } } } } } } } } ```