# Zillow Phone Number Scraper (`scraperx/zillow-phone-number-scraper`) Actor - **URL**: https://apify.com/scraperx/zillow-phone-number-scraper.md - **Developed by:** [ScraperX](https://apify.com/scraperx) (community) - **Categories:** Automation, Lead generation, Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ### **Zillow** Phone Number Scraper πŸ“± The **Zillow** Phone Number Scraper **extract**s critical **contact** information from **Zillow** listings. It is designed to help users access **phone numbers** and other essential **data** with ease. By using this tool, real estate professionals can enhance their lead generation efforts. It provides detailed insights into property listings and associated **contact** details. This scraper is perfect for **extract**ing **phone numbers** from **Zillow** efficiently. Users can also gather additional **data** such as property descriptions, prices, and agent details. The **Zillow** Phone Number Scraper is a versatile property listing scraper that simplifies **data** collection. It is ideal for real estate professionals looking to optimize their workflows and outreach strategies. Zillow Phone Number Scraper is a powerful tool designed to extract contact information from Zillow property listings efficiently. It helps users streamline their lead generation process by automating data collection. Using a Zillow Phone Number Scraper allows real estate professionals to gather valuable contact details quickly. This Zillow data extraction tool is ideal for accessing phone numbers and other critical information. With advanced phone number scraping software, users can save time and effort while collecting accurate data. The Zillow Phone Number Scraper is a reliable real estate contact scraper for accessing property-related contacts. ### Support and feedback - **Bug reports**: Open a ticket in the repository Issues section - **Custom features**: Contact our enterprise support team *Email: dev.scraperengine@gmail.com* ### Extractable Data Table πŸ“Š | Data Type | Description | | --- | --- | | Phone Numbers | Extract contact phone numbers from Zillow property listings for lead generation. | | Property Descriptions | Access detailed descriptions of properties listed on Zillow. | | Listing Prices | Gather accurate pricing information for properties on Zillow. | | Agent Details | Retrieve contact details of agents associated with Zillow listings. | | Property Locations | Extract location data for properties listed on Zillow. | | Listing URLs | Collect direct URLs to Zillow property listings for easy access. | | Property Images | Download images associated with Zillow property listings. | | Seller Information | Access seller contact details for properties on Zillow. | ### Key Features of **Zillow** Phone Number Scraper Here are the **standout features** that make the **Zillow** Phone Number Scraper a **top-tier tool** for **marketers**, **agencies**, and **researchers**: - ⭐ **Automated** data extraction ensures fast and accurate scraping of **Zillow** contact information - ⭐ Supports **Zillow** API integration for seamless data retrieval and advanced functionality - ⭐ Extracts phone numbers property details and agent information from **Zillow** listings efficiently - ⭐ Provides customizable scraping options to target specific data fields on **Zillow** - ⭐ Offers real-time data updates to ensure users always access the latest information - ⭐ Includes a user-friendly interface for easy operation and configuration of scraping tasks - ⭐ Delivers comprehensive results with advanced filtering options for precise data extraction - ⭐ Ensures compliance with data usage policies through ethical scraping practices - ⭐ Integrates with other tools to enhance workflows and data management capabilities - ⭐ Designed as an automated **Zillow** scraper for maximum efficiency and accuracy ### How to use **Zillow** Phone Number Scraper πŸš€ Follow this **simple, step-by-step guide** to start extracting **Zillow** phone numbers today: 1. βœ… **Sign up** for the **Zillow** Phone Number Scraper and **log in** to your account 2. βœ… **Configure** the scraper settings to target specific **Zillow** property listings 3. βœ… **Select** the data fields you want to extract such as phone numbers and agent details 4. βœ… Enter the URLs of **Zillow** listings or use search parameters to locate properties 5. βœ… **Start** the scraping process and monitor progress through the user-friendly dashboard 6. βœ… Download the extracted data in your preferred format for further use 7. βœ… **Integrate** the scraped data with your CRM or marketing tools for lead management 8. βœ… Repeat the process as needed to update your database with the latest **Zillow** information ### Use Cases 🎯 Business Lead Generation 🎯 **Use** the **Zillow** Phone Number Scraper to gather contact details for potential leads 🎯 Extract phone numbers from **Zillow** listings to reach out to property sellers directly 🎯 Enhance your outreach campaigns with accurate and up-to-date contact information Market Research 🎯 **Analyze** **Zillow** data to identify trends in property pricing and availability 🎯 Extract detailed property descriptions and locations for research purposes 🎯 **Use** the scraper to collect agent information for networking and collaboration Real Estate Agencies 🎯 Streamline contact collection for agents and sellers using the **Zillow** Phone Number Scraper 🎯 Access property listing data to create comprehensive market reports 🎯 Enhance agency workflows with automated data extraction tools Individual Investors 🎯 **Identify** investment opportunities by extracting relevant **Zillow** data 🎯 Access seller contact information to negotiate property deals directly 🎯 **Use** the scraper to analyze property listings and make informed decisions ### Why choose us? πŸ’Ž The **Zillow** Phone Number Scraper is designed to simplify data extraction for real estate professionals. It offers **advanced** features to ensure accurate and efficient scraping of **Zillow** property listings. By using this tool, users can save time and improve their lead generation strategies. The scraper provides comprehensive results, including phone numbers, agent details, and property descriptions. It is a **reliable** property listing scraper that enhances workflows and data management. With its **user-friendly** interface and customizable options, the **Zillow** Phone Number Scraper is perfect for professionals seeking efficiency. The tool integrates seamlessly with other software to optimize data utilization. It is a trusted real estate scraping tool for accessing **Zillow** contact information. ### **Zillow** Phone Number Scraper Scalability πŸ“ˆ The **Zillow** Phone Number Scraper is built to handle **large-scale** data extraction tasks **efficient**ly. It supports automated **Zillow** scraper functionality for continuous and accurate data collection. Users can extract thousands of phone numbers and property details from **Zillow** listings without delays. The scraper is designed to scale with your needs, offering robust performance for **extensive** projects. It integrates with **Zillow** API to provide **advanced** capabilities and real-time data updates. This tool is perfect for businesses and agencies requiring high-volume data extraction. With its scalability, the **Zillow** Phone Number Scraper ensures consistent results for growing operations. It is ideal for professionals looking to expand their outreach and data collection efforts. ### **Zillow** Phone Number Scraper Legal Guidelines βš–οΈ **Yes**β€”scraping **Zillow** is **legal** as long as you follow **ethical** and **compliant** practices. The **Zillow** Phone Number Scraper extracts only **publicly available** information from **public** **Zillow** profiles, making it **safe** and **compliant** for **research**, **marketing**, and **analysis**. #### Legal & Ethical Guidelines βš–οΈ **Ensure** compliance with **Zillow**s terms of service when using the scraper βš–οΈ **Avoid** using the **Zillow** Phone Number Scraper for unauthorized or unethical purposes βš–οΈ Respect privacy laws and regulations when extracting contact information from **Zillow** βš–οΈ **Use** the scraper only for legitimate business or research purposes βš–οΈ **Do not** share or sell extracted data without proper authorization βš–οΈ Follow ethical practices when accessing **Zillow** property listings and contact details βš–οΈ Verify the accuracy of extracted data before using it for outreach or marketing βš–οΈ Consult legal experts if you are unsure about data usage policies or restrictions ### Input Parameters 🧩 πŸ“¦ Example Input (JSON) ```json { "keywords": ["Zillow Phone Number Scraper"], "country": "Global", "maxPhoneNumbers": 20, "platform": "Zillow", "engine": "legacy" } ```` ### Input Table | Data Type | Description | | --- | --- | | keywords | Keywords to find relevant profiles | | country | Country setting (Global) | | maxPhoneNumbers | Maximum phone numbers to collect (default 20) | | platform | Platform to scrape (Zillow) | | engine | Engine type (legacy) | | proxyConfiguration | Optional proxy settings | ### Output Format πŸ“€ πŸ“ Example Output (JSON) ```json [ { "platform": "Zillow", "keyword": "Zillow Phone Number Scraper", "title": "Example Zillow profile", "description": "Example description with phone number", "url": "https://www.example.com/example/", "phone_number": "+1234567890", "country": "Global", "dial_code": "Auto-detected" } ] ``` ### Output Table | Data Type | Description | | --- | --- | | platform | Identifies Zillow as the source | | keyword | Keyword that triggered the result (Zillow Phone Number Scraper) | | title | Profile title or username | | description | Public bio snippet with contact info | | url | Direct Zillow profile link | | phone\_number | Extracted phone number with Auto-detected dial code | | country | Country setting (Global) | | dial\_code | Dial code (Auto-detected) | ### FAQ ❓ #### What is the Zillow **Phone Number Scraper**? It is a tool designed to extract **phone numbers** and other contact details from Zillow property listings efficiently. #### How does the Zillow **Phone Number Scraper** work? It uses advanced algorithms to scan Zillow listings and extract specified data fields such as **phone numbers** and agent details. #### Can I **extract** other data besides phone numbers? **Yes**, the scraper can also extract property descriptions, prices, agent information, and more from Zillow listings. #### Is the Zillow **Phone Number Scraper** easy to use? **Yes**, it features a **user-friendly** interface and customizable settings for effortless data extraction. #### Does the scraper support Zillow API integration? **Yes**, it integrates with Zillow API for advanced functionality and real-time data updates. #### Is the scraper suitable for **large-scale** data **extract**ion? **Yes**, it is designed to handle extensive data extraction tasks efficiently and accurately. #### Can I use the Zillow **Phone Number Scraper** for **lead generation**? **Yes**, it is ideal for generating leads by extracting contact information from Zillow listings. #### Is the scraper compliant with **legal** and ethical guidelines? **Yes**, it follows ethical practices and ensures **compliance** with data usage policies. #### Can I customize the data fields to **extract** **specific** information? **Yes**, the scraper offers customizable options to target specific data fields on Zillow. #### Does the scraper provide real-time updates? **Yes**, it delivers real-time data updates to ensure users access the latest information from Zillow. # Actor input Schema ## `keywords` (type: `array`): A list of keywords, Zillow usernames, or profile URLs to search for. Example: \["marketing", "founder"]. ## `platform` (type: `string`): Select platform. For now this actor targets Zillow via google.com SERP. ## `country` (type: `string`): Select a country to scrape related phone numbers. The dial code is used to normalize and filter phone numbers. ## `maxPhoneNumbers` (type: `integer`): Maximum number of phone numbers to collect per keyword. The scraper will stop once this limit is reached. ## `engine` (type: `string`): Choose scraping engine. 'cost-effective' uses RESIDENTIAL proxies; 'legacy' uses GOOGLE\_SERP proxy. ## `proxyConfiguration` (type: `object`): Configure proxies for this Actor (Apify proxy). The actor will enforce legal GOOGLE\_SERP or RESIDENTIAL groups depending on Engine. ## Actor input object example ```json { "keywords": [ "marketing" ], "platform": "Zillow", "country": "United Kingdom (+44)", "maxPhoneNumbers": 20, "engine": "legacy" } ``` # 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 = { "keywords": [ "marketing" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scraperx/zillow-phone-number-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": ["marketing"] } # Run the Actor and wait for it to finish run = client.actor("scraperx/zillow-phone-number-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "marketing" ] }' | apify call scraperx/zillow-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraperx/zillow-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zillow Phone Number Scraper", "version": "0.1", "x-build-id": "jCR2B6ckq8e5cmA1Y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraperx~zillow-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraperx-zillow-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/scraperx~zillow-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-scraperx-zillow-phone-number-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/scraperx~zillow-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-scraperx-zillow-phone-number-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": [ "keywords", "country" ], "properties": { "keywords": { "title": "Keywords / Usernames / URLs", "type": "array", "description": "A list of keywords, Zillow usernames, or profile URLs to search for. Example: [\"marketing\", \"founder\"].", "items": { "type": "string" } }, "platform": { "title": "Platform", "enum": [ "Zillow" ], "type": "string", "description": "Select platform. For now this actor targets Zillow via google.com SERP.", "default": "Zillow" }, "country": { "title": "Country", "enum": [ "Afghanistan (+93)", "Albania (+355)", "Algeria (+213)", "Andorra (+376)", "Angola (+244)", "Antigua And Barbuda (+1-268)", "Argentina (+54)", "Armenia (+374)", "Australia (+61)", "Austria (+43)", "Azerbaijan (+994)", "Bahamas (+1-242)", "Bahrain (+973)", "Bangladesh (+880)", "Barbados (+1-246)", "Belarus (+375)", "Belgium (+32)", "Belize (+501)", "Benin (+229)", "Bhutan (+975)", "Bolivia (+591)", "Bosnia And Herzegovina (+387)", "Botswana (+267)", "Brazil (+55)", "Brunei (+673)", "Bulgaria (+359)", "Burkina Faso (+226)", "Burundi (+257)", "Cambodia (+855)", "Cameroon (+237)", "Canada (+1)", "Cape Verde (+238)", "Central African Republic (+236)", "Chad (+235)", "Chile (+56)", "China (+86)", "Colombia (+57)", "Comoros (+269)", "Congo (Democratic Republic) (+243)", "Congo (Republic) (+242)", "Costa Rica (+506)", "Croatia (+385)", "Cuba (+53)", "Cyprus (+357)", "Czech Republic (+420)", "Denmark (+45)", "Djibouti (+253)", "Dominica (+1-767)", "Dominican Republic (+1-809)", "East Timor (+670)", "Ecuador (+593)", "Egypt (+20)", "El Salvador (+503)", "Equatorial Guinea (+240)", "Eritrea (+291)", "Estonia (+372)", "Eswatini (+268)", "Ethiopia (+251)", "Fiji (+679)", "Finland (+358)", "France (+33)", "Gabon (+241)", "Gambia (+220)", "Georgia (+995)", "Germany (+49)", "Ghana (+233)", "Greece (+30)", "Grenada (+1-473)", "Guatemala (+502)", "Guinea (+224)", "Guinea-Bissau (+245)", "Guyana (+592)", "Haiti (+509)", "Honduras (+504)", "Hungary (+36)", "Iceland (+354)", "India (+91)", "Indonesia (+62)", "Iran (+98)", "Iraq (+964)", "Ireland (+353)", "Israel (+972)", "Italy (+39)", "Jamaica (+1-876)", "Japan (+81)", "Jordan (+962)", "Kazakhstan (+7)", "Kenya (+254)", "Kiribati (+686)", "Korea, North (+850)", "Korea, South (+82)", "Kuwait (+965)", "Kyrgyzstan (+996)", "Laos (+856)", "Latvia (+371)", "Lebanon (+961)", "Lesotho (+266)", "Liberia (+231)", "Libya (+218)", "Liechtenstein (+423)", "Lithuania (+370)", "Luxembourg (+352)", "Madagascar (+261)", "Malawi (+265)", "Malaysia (+60)", "Maldives (+960)", "Mali (+223)", "Malta (+356)", "Marshall Islands (+692)", "Mauritania (+222)", "Mauritius (+230)", "Mexico (+52)", "Micronesia (+691)", "Moldova (+373)", "Monaco (+377)", "Mongolia (+976)", "Montenegro (+382)", "Morocco (+212)", "Mozambique (+258)", "Myanmar (+95)", "Namibia (+264)", "Nauru (+674)", "Nepal (+977)", "Netherlands (+31)", "New Zealand (+64)", "Nicaragua (+505)", "Niger (+227)", "Nigeria (+234)", "North Macedonia (+389)", "Norway (+47)", "Oman (+968)", "Pakistan (+92)", "Palau (+680)", "Panama (+507)", "Papua New Guinea (+675)", "Paraguay (+595)", "Peru (+51)", "Philippines (+63)", "Poland (+48)", "Portugal (+351)", "Qatar (+974)", "Romania (+40)", "Russia (+7)", "Rwanda (+250)", "Saint Kitts And Nevis (+1-869)", "Saint Lucia (+1-758)", "Saint Vincent And The Grenadines (+1-784)", "Samoa (+685)", "San Marino (+378)", "Sao Tome And Principe (+239)", "Saudi Arabia (+966)", "Senegal (+221)", "Serbia (+381)", "Seychelles (+248)", "Sierra Leone (+232)", "Singapore (+65)", "Slovakia (+421)", "Slovenia (+386)", "Solomon Islands (+677)", "Somalia (+252)", "South Africa (+27)", "South Sudan (+211)", "Spain (+34)", "Sri Lanka (+94)", "Sudan (+249)", "Suriname (+597)", "Sweden (+46)", "Switzerland (+41)", "Syria (+963)", "Taiwan (+886)", "Tajikistan (+992)", "Tanzania (+255)", "Thailand (+66)", "Togo (+228)", "Tonga (+676)", "Trinidad And Tobago (+1-868)", "Tunisia (+216)", "Turkey (+90)", "Turkmenistan (+993)", "Tuvalu (+688)", "Uganda (+256)", "Ukraine (+380)", "United Arab Emirates (+971)", "United Kingdom (+44)", "United States (+1)", "Uruguay (+598)", "Uzbekistan (+998)", "Vanuatu (+678)", "Vatican City (+39-06)", "Venezuela (+58)", "Vietnam (+84)", "Yemen (+967)", "Zambia (+260)", "Zimbabwe (+263)" ], "type": "string", "description": "Select a country to scrape related phone numbers. The dial code is used to normalize and filter phone numbers.", "default": "United Kingdom (+44)" }, "maxPhoneNumbers": { "title": "Max Phone Numbers", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of phone numbers to collect per keyword. The scraper will stop once this limit is reached.", "default": 20 }, "engine": { "title": "Engine", "enum": [ "legacy" ], "type": "string", "description": "Choose scraping engine. 'cost-effective' uses RESIDENTIAL proxies; 'legacy' uses GOOGLE_SERP proxy.", "default": "legacy" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Configure proxies for this Actor (Apify proxy). The actor will enforce legal GOOGLE_SERP or RESIDENTIAL groups depending on Engine." } } }, "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 } } } } } } } } } } ```