# Zillow Phone Number Scraper (`solid-scraper/zillow-phone-number-scraper`) Actor 📞 Extract verified phone numbers from Zillow listings fast with our Zillow Phone Number Scraper. Ideal for real estate leads, sales teams, and agencies—find accurate contacts instantly and streamline outreach. 🚀 - **URL**: https://apify.com/solid-scraper/zillow-phone-number-scraper.md - **Developed by:** [SolidScraper](https://apify.com/solid-scraper) (community) - **Categories:** Lead generation, Real estate, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.99 / 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 🔎 **Zillow Phone Number Scraper** helps you extract phone numbers associated with Zillow profiles by scanning public profile content and post text using your chosen keywords and country targeting. It’s a **Zillow phone number scraper** built for lead generation, sales ops, and data enrichment—especially when you need **Zillow contact phone number scraper** results at scale without manually copying contact details from pages one by one. Whether you’re a marketer, data analyst, or researcher, this tool streamlines **scrape Zillow phone numbers** workflows so you can focus on outreach and analysis rather than repetitive research. --- ### 🚀 Why choose Zillow Phone Number Scraper? | Feature | Benefit | |---|---| | ✅ **Keyword-driven extraction** | Finds phone numbers using your keywords to improve relevance for **Zillow lead scraper phone** use cases | | ✅ **Country targeting (dial code + ISO)** | Focuses results on the phone-number region you want for more consistent **Zillow agent phone number scraper** outcomes | | ✅ **Large-batch friendly limits** | Stop condition is controlled by `maxPhoneNumbers`, so you can control duration vs. volume when **Zillow phone number data mining** | | ✅ **Built-in resilience** | Includes retries and fallbacks for resilience during scraping of public web data | | ✅ **Structured dataset output** | Saves results to a dataset with consistent fields (keyword, title, url, phone number, country, dial code) for easy import | | ✅ **Incremental saving** | Pushes results as they’re found, reducing the risk of losing progress during longer runs | --- ### 🔑 Key features - 📌 **Targeted “Zillow phone number lookup scraper” extraction**: Pulls phone numbers from Zillow-related public content using your selected keywords - 🌍 **Country and dial-code filtering**: Uses the chosen country’s dial code and phone-number region to validate extracted numbers - 🎯 **Smart stopping control (`maxPhoneNumbers`)**: Automatically stops once enough phone numbers are collected—ideal for building lists of **Zillow property contact details scraper** leads - 🧠 **Duplicate prevention**: Avoids pushing the same phone number more than once in a run (unique phone numbers) - 🔄 **Resilient scraping behavior**: Uses retries and handling for pages with no results to keep runs moving toward usable output - 💾 **Incremental dataset pushes**: Each discovered phone number is pushed to the output dataset as soon as it’s found - ⚙️ **Bulk keyword support**: Accepts multiple keywords at once, helping you run **Zillow listing contact info scraper** workflows in fewer runs --- ### 📝 Input Provide input via an `input.json` file. Example structure: ```json { "keywords": ["marketing", "founder"], "location": "California", "country": "United States (+1)", "maxPhoneNumbers": 20 } ```` #### Input Fields | Field | Required | Description | |---|---:|---| | `keywords` | ✅ | A list of keywords used to target relevant Zillow content for phone-number extraction. | | `location` | ❌ | Optional location text to help narrow results (for example, “London” or “California”). Leave it empty for global targeting. | | `country` | ✅ | The country to target for phone numbers. This controls the phone-number region used to validate and format results (default is `United Kingdom (+44)`). | | `maxPhoneNumbers` | ❌ | The maximum number of phone numbers to collect. The actor stops after reaching this number (allowed range: 1–10000; default: 20). | *** ### 📦 Output The actor saves each discovered record into the **Zillow Phone Numbers Dataset** under the dataset view **“Scraped Phone Numbers”**. Sample JSON output shape (one pushed record): ```json { "platform": "Zillow", "keyword": "marketing", "title": "No title", "description": "No data", "url": "No URL", "phone_number": "+15551234567", "country": "United States", "dial_code": "+1" } ``` #### Output Fields | Field | Type | Description | |---|---|---| | `platform` | string | The source platform for the contact info (set to `Zillow`). | | `keyword` | string | The keyword that drove the extraction for this result. | | `title` | string | The page/result title associated with the extracted phone number. | | `description` | string | The extracted text content where the phone number was found. | | `url` | string | The URL associated with the result. | | `phone_number` | string | The extracted phone number (formatted with E.164). | | `country` | string | The target country name used for the run. | | `dial_code` | string | The dial code associated with the target country. | Note: Results are pushed incrementally, so your dataset fills progressively as the actor finds matching phone numbers for **Zillow listing phone number extractor** and related workflows. You can export your dataset to common formats (e.g., JSON/CSV) from the Apify dataset UI after the run. *** ### 🚀 How to use Zillow Phone Number Scraper (via Apify Console) 1. **Open Apify Console**: Log in at https://console.apify.com and go to the **Actors** tab. 2. **Find the actor**: Search for **Zillow Phone Number Scraper** and open the actor page. 3. **Configure INPUT**: In the **INPUT** section, fill in: - `keywords` (required) - `country` (required) - `location` (optional) - `maxPhoneNumbers` (optional; defaults to 20) 4. **Choose Run Options**: For large runs, the actor may take time. If needed, adjust the timeout in **Run Options** (default is 3600s / 1hr). 5. **Start the run**: Click **Run** to begin scraping and extracting phone numbers from public web data. 6. **Monitor logs**: Watch for progress updates and messages indicating when the actor stops due to reaching `maxPhoneNumbers`. 7. **Open results**: When finished, go to the **OUTPUT** tab and open the dataset view **“Scraped Phone Numbers”**. 8. **Export**: Export from the dataset UI into your preferred format for CRM import, enrichment pipelines, or analytics. No coding required—get **scrape Zillow phone numbers** results in minutes. *** ### 🧩 Advanced features & SEO optimization - 🚀 **Engineered-for-purpose “Zillow phone number scraper” targeting**: Built to work specifically for Zillow phone number lead discovery using keywords and country settings for more relevant **Zillow agent contact scraper** outcomes. - 🔁 **Resilient extraction behavior**: Includes retries and handling for pages with missing results so runs complete more reliably. - 🧼 **Phone-number validation & normalization**: Uses phone-number parsing/formatting so the dataset stores numbers in a consistent format (E.164). - 🗂️ **Incremental persistence for long tasks**: Each found record is pushed as the run progresses—helpful for **Zillow phone number data mining** at scale. - 📉 **Result shortfall guidance**: If you get fewer results than expected, the actor suggests broader keywords or different country settings. *** ### 🎯 Best use cases - 📈 **B2B sales teams building Zillow lead lists**: Use Zillow Phone Number Scraper to gather phone numbers for outreach workflows without manual lookup. - 🧲 **Data analysts enriching contact datasets**: Export structured results (keyword, url, phone number, country, dial code) for analysis and segmentation. - 🏠 **Real estate marketing operations**: Extract phone numbers from public Zillow profile content to support campaigns targeting specific regions. - 🧑‍💼 **Agent-centric outreach**: Use Zillow Phone Number Scraper as a Zillow agent phone number scraper to build follow-up lists for property-related leads. - 🧾 **Market research & competitive intel**: Collect contact phone numbers at scale to understand how listings and public bios expose contact details by region. - 💻 **Automation pipelines**: Feed results directly into CRM/marketing automation systems after exporting the dataset from Apify. - 🧠 **Lead qualification workflows**: Combine keyword-based targeting with country filtering to focus on the right phone-number region for higher-quality leads. *** ### 🛠️ Technical specifications **Supported Input Formats** - ✅ `keywords` as an array of strings (required) - ✅ `country` as one of the provided country enum values (required) - ✅ `location` as a string (optional) - ✅ `maxPhoneNumbers` as an integer between 1 and 10000 (optional) **Proxy Support** - ✅ Uses built-in proxy support for reliable scraping of public web data. **Retry Mechanism** - ✅ Includes retries and fallbacks to improve resilience during extraction. **Dataset Structure** - ✅ Dataset: **“Zillow Phone Numbers Dataset”** - ✅ Dataset view: **“Scraped Phone Numbers”** - ✅ Output fields include: `keyword`, `title`, `description`, `url`, `phone_number`, `country`, `dial_code` (plus `platform`). **Rate Limits & Performance** - ⏳ Large scraping tasks may take time. - 🧮 Result volume is controlled via `maxPhoneNumbers`. - 📊 Results are pushed incrementally, improving usefulness during longer runs. **Limitations** - ❌ If relevant public phone numbers are not present in the targeted Zillow content, fewer results will be returned. - ❌ Free user runs may apply an internal maximum of **100 phone numbers** (when `maxPhoneNumbers` exceeds that limit). *** ### ❓ FAQ #### Can I scrape Zillow phone numbers for a specific country? ✅ Yes. You must provide `country`, and the actor uses that to validate and format extracted phone numbers, storing both `country` and `dial_code` in the dataset. #### What keywords should I use to get better results? ✅ Use keywords that match how you expect contact-related content to appear in Zillow profiles and posts. If you see fewer than expected results, try broader keywords or different country settings. #### Is there a limit on how many phone numbers I can collect? ✅ Yes. Use `maxPhoneNumbers` to stop scraping after the actor finds that many phone numbers. #### Where do the results go? ✅ The actor saves each record in the dataset view **“Scraped Phone Numbers”**, with consistent fields like `keyword`, `url`, and `phone_number`. #### Do I need to write code to run it? ✅ No coding is required. You can run it directly from Apify Console by providing input in the **INPUT** section. #### Can I resume or continue a run if it stops? ✅ The actor persists progress internally and can resume based on previously seen numbers and cursor state stored during execution. #### How do I request help or custom changes? ✅ For custom scraping needs or support, contact . *** ### 🤝 Support & feature requests Want to improve your Zillow phone number scraper results or request a new output format for your Zillow listing contact info scraper workflow? We’d love to hear from you. 💡 **Feature Requests:** Examples include exporting additional fields, improving CSV/JSON friendliness for CRM imports, or adding customization options for your Zillow phone number web scraping workflow.\ 📧 **Contact:** Reach out via . Your feedback helps shape what we build next for Zillow Phone Number Scraper. *** ### *Zillow Phone Number Scraper* — Final thoughts If you’re looking for an SEO-optimized way to **scrape Zillow phone numbers** and build lead-ready contact lists faster, **Zillow Phone Number Scraper** is a great fit. Try it with your best-performing keywords and the right country targeting to get the most out of every run. *** ### Disclaimer **This actor only accesses publicly accessible sources**. It does not access private profiles, authenticated data, or password-protected pages. It’s your responsibility to comply with applicable laws (including GDPR/CCPA where relevant), spam regulations, and each platform’s terms of service. For data removal requests, contact . Please use Zillow Phone Number Scraper responsibly, ethically, and for legitimate purposes only. # Actor input Schema ## `keywords` (type: `array`): Enter keywords to search for (e.g., 'Target Keyword'). ## `location` (type: `string`): Filter by location (e.g., 'London', 'California'). Leave empty for global search. ## `country` (type: `string`): Select the country to target for phone numbers. ## `maxPhoneNumbers` (type: `integer`): Stop scraping after this many phone numbers are found. Setting a higher limit extends the scraping duration. ## Actor input object example ```json { "keywords": [ "marketing", "founder" ], "country": "United Kingdom (+44)", "maxPhoneNumbers": 20 } ``` # 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", "founder" ] }; // Run the Actor and wait for it to finish const run = await client.actor("solid-scraper/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(`💾 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 = { "keywords": [ "marketing", "founder", ] } # Run the Actor and wait for it to finish run = client.actor("solid-scraper/zillow-phone-number-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 '{ "keywords": [ "marketing", "founder" ] }' | apify call solid-scraper/zillow-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solid-scraper/zillow-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Zillow Phone Number Scraper", "description": "📞 Extract verified phone numbers from Zillow listings fast with our Zillow Phone Number Scraper. Ideal for real estate leads, sales teams, and agencies—find accurate contacts instantly and streamline outreach. 🚀", "version": "0.1", "x-build-id": "J4e8OgGveZs1DZuAN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~zillow-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~zillow-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-solid-scraper-zillow-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~zillow-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-solid-scraper-zillow-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "type": "array", "description": "Enter keywords to search for (e.g., 'Target Keyword').", "default": [ "marketing", "founder" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Filter by location (e.g., 'London', 'California'). Leave empty for global search." }, "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 the country to target for phone numbers.", "default": "United Kingdom (+44)" }, "maxPhoneNumbers": { "title": "Max Phone Numbers", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Stop scraping after this many phone numbers are found. Setting a higher limit extends the scraping duration.", "default": 20 } } }, "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 } } } } } } } } } } ```