# Airbnb Phone Number Scraper (`solid-scraper/airbnb-phone-number-scraper`) Actor 📞 Extract verified Airbnb phone numbers fast with this powerful scraper! Perfect for real estate, property managers, and lead generation—find direct contacts instantly. 🔎🚀 Save time, boost outreach, and scale your business efficiently. - **URL**: https://apify.com/solid-scraper/airbnb-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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ### Airbnb Phone Number Scraper 🔍 **Airbnb Phone Number Scraper** helps you extract phone numbers from Airbnb profiles, bios, and post content using your own keywords and a country targeting selection. Whether you’re a marketer, data analyst, or researcher looking for an **Airbnb contact scraper** or an **Airbnb phone number finder tool**, this actor focuses on finding relevant leads faster—so you can spend less time on manual searching and more time using the data at scale. --- ### Why choose Airbnb Phone Number Scraper? | Feature | Benefit | |---|---| | ✅ **Keyword-driven phone number extraction** | Uses your keywords to pull matching phone numbers from Airbnb profile and post text | | ✅ **Country targeting with dial codes** | Improves results by focusing on the country you select for phone numbers | | ✅ **Reliability with built-in resilience** | Includes retries and fallbacks to keep large scraping runs moving | | ✅ **Structured dataset output** | Saves results with clearly labeled fields like `phone_number`, `country`, and `dial_code` | | ✅ **Scales to bulk extraction** | Designed for large scraping tasks with a configurable maximum output size | | ✅ **Real-time incremental saving** | Pushes each discovered result to the dataset as it’s found | --- ### Key features - ✅ **Airbnb phone number extraction**: Scrapes phone numbers from Airbnb bios, profiles, and post content using your keywords - 🎯 **Country-focused results**: Targets a specific country (including the dial code) to improve contact relevance - 🔍 **Airbnb listing contact details scraper output**: Provides `url` plus phone details to help you validate records - 🧠 **Smart filters for better lead quality**: Includes keyword inputs and stops once enough phone numbers are collected - 🔄 **Resilient scraping behavior**: Includes retries and fallbacks for resilience during larger runs - 💾 **Dataset-first workflow**: Each result is saved to the dataset immediately so you don’t lose progress - 🚦 **Max results control**: Stops after reaching your `maxPhoneNumbers` threshold (or applies free-tier limits) --- ### Input Provide input via an `input.json` file. Example structure: ```json { "keywords": ["marketing", "founder"], "location": "London", "country": "United Kingdom (+44)", "maxPhoneNumbers": 20 } ```` #### Input Fields | Field | Required | Description | |---|---|---| | `keywords` | Yes | A list of keywords the actor uses to guide what content to scrape for phone numbers (for example: `["marketing", "founder"]`). | | `location` | No | Optional location filter (examples: `"London"`, `"California"`). Leave it empty to run a global search. | | `country` | Yes | Choose the country to target for phone numbers (this also drives the dial code included in results). | | `maxPhoneNumbers` | No | Stop scraping after this many phone numbers are found. Higher limits can extend scraping duration. Must be between `1` and `10000`. | Notes from the actor’s defaults and limits: - `keywords` default is `["marketing","founder"]` - `country` default is `"United Kingdom (+44)"` - `maxPhoneNumbers` default is `20` *** ### Output The actor saves each discovered phone record into a dataset. Each pushed row includes phone and context fields like the keyword used and the profile/post `url`. Example output item: ```json [ { "platform": "Airbnb", "keyword": "marketing", "title": "No title", "description": "No data", "url": "No URL", "phone_number": "+447700900123", "country": "United Kingdom", "dial_code": "+44" } ] ``` #### Output Fields | Field | Type | Description | |---|---|---| | `platform` | string | Always set to `Airbnb` for these records | | `keyword` | string | The keyword currently being used to guide extraction | | `title` | string | The title text associated with the discovered content (falls back to `"No title"` if missing) | | `description` | string | Extracted text surrounding the phone number (falls back to `"No data"` if missing) | | `url` | string | The source URL linked to the extracted phone number (falls back to `"No URL"` if missing) | | `phone_number` | string | The extracted phone number in E.164 format | | `country` | string | The targeted country name (derived from your `country` selection) | | `dial_code` | string | Dial code associated with the targeted country | Dataset view: - **Dataset name**: **Airbnb Phone Numbers Dataset** - **Dataset view title**: **Scraped Phone Numbers** - The dataset “default” view is a table with columns including `Keyword`, `Title`, `Description`, `Url`, `Phone Number`, `Country`, and `Dial Code`. *** ### How to use Airbnb Phone Number Scraper (via Apify Console) 1. **Open Apify Console**\ Log in at [console.apify.com](https://console.apify.com) and go to the **Actors** page. 2. **Find the actor**\ Search for **Airbnb Phone Number Scraper** and open the actor page. 3. **Configure INPUT**\ In the **INPUT** tab, fill in: - `keywords` (required): your keyword list for an **Airbnb phone number scraper** workflow - `country` (required): choose the country you want phone numbers from - `location` (optional): add a location like `"London"` if you want it included in targeting - `maxPhoneNumbers` (optional): cap the number of phone numbers returned 4. **Set Run Options (if needed)**\ Large runs may take time. You can adjust the timeout in **Run Options** (default mentioned in the actor description is `3600s / 1hr`). 5. **Run the actor**\ Click **Run** to start scraping. You’ll see progress logs while data is pushed into the dataset incrementally. 6. **Monitor results in logs**\ If results are fewer than expected, the actor guidance suggests trying broader keywords or different country settings. 7. **Open the OUTPUT dataset**\ After the run finishes, go to the **OUTPUT** tab and open the **Airbnb Phone Numbers Dataset**. 8. **Export**\ Use Apify’s export tools to download the dataset in **JSON/CSV** formats for your CRM, outreach workflows, or analysis pipeline. No coding required—get actionable **Airbnb contact scraper** results in minutes. *** ### Advanced features & SEO optimization - 🔍 **Engineered for “scrape Airbnb phone numbers” workflows**: Designed specifically to extract phone numbers from Airbnb profile and post content using `keywords` and country targeting - 🎯 **Targeting improvements via location + keywords**: Use `location` together with your keywords to steer what the actor captures (when you have specific market regions) - 🔄 **Resilience for large scraping tasks**: Includes retries and fallbacks to handle intermittent issues during longer runs - 🧾 **Duplicate prevention**: Tracks already-seen phone numbers to avoid re-pushing the same number into the dataset - 📊 **Practical tuning with `maxPhoneNumbers`**: Lets you control run duration and output volume for an **Airbnb dataset phone numbers** use case *** ### Best use cases - 📈 **Lead generation teams**: Build an **Airbnb lead scraper phone numbers** list for outreach and relationship-building campaigns - 🗺️ **Market researchers**: Compare phone availability across regions by adjusting `country` (and optionally `location`) - 📞 **BD and partnerships**: Quickly enrich lists of Airbnb-related contacts with phone numbers for faster follow-ups - 🧠 **Data analysts**: Combine phone data with other attributes (using `keyword`, `url`, `country`, and `dial_code`) for reporting - 🧳 **Host contact strategies**: Use it as an **Airbnb host phone number scraper tool** when compiling property contact data for campaigns - 🔁 **Automation pipelines**: Feed dataset exports into CRM or ETL processes for **Airbnb property contact data scraper** style enrichment *** ### Technical specifications - **Supported Input Formats** - ✅ `keywords` as an array of strings (required) - ✅ `country` as a string selecting the target country (required) - ✅ Optional `location` as a string - ✅ Optional `maxPhoneNumbers` integer from `1` to `10000` - **Proxy Support** - ✅ Built-in proxy configuration is used for scraping runs to improve reliability - **Retry Mechanism** - ✅ Includes retry and fallback logic to improve success during scraping - **Dataset Structure** - ✅ Pushes rows into **Airbnb Phone Numbers Dataset** - ✅ Includes fields: `platform`, `keyword`, `title`, `description`, `url`, `phone_number`, `country`, `dial_code` - **Rate Limits & Performance** - ⏱️ Large scraping tasks may take time (timeout adjustable in **Run Options**) - 📌 The actor stops when it reaches the `maxPhoneNumbers` threshold - **Limitations** - ❌ Results depend on what phone numbers are publicly present in scraped Airbnb content - ❌ Free-tier runs can apply a maximum output cap (the actor enforces a maximum of **100 phone numbers** for free users) *** ### FAQ #### Does Airbnb Phone Number Scraper require login to run? ✅ No login is required for you to run the actor. You provide the inputs in Apify Console, and the actor handles the scraping run and saving results to the dataset. #### What phone numbers will I get from this actor? ✅ It extracts phone numbers from Airbnb bios, profiles, and post content, guided by the `keywords` you provide and the `country` you select for targeting. #### Can I control how many phone numbers the actor returns? ✅ Yes. Use `maxPhoneNumbers` to stop after the actor finds your desired number of phone numbers. If you don’t set it, the default is `20`. #### Why do I get fewer phone numbers than expected? ✅ The actor’s guidance indicates you may want to broaden your keywords or adjust your country settings if results are fewer than expected. #### What dataset fields will I receive? ✅ Each pushed record includes `platform`, `keyword`, `title`, `description`, `url`, `phone_number`, `country`, and `dial_code` in the **Airbnb Phone Numbers Dataset**. #### Is there a free-tier limit? ✅ Yes. The actor applies a free user maximum of **100 phone numbers** if you’re not detected as a paying user. Upgrading removes the restriction. #### Can I use this output for outreach? ✅ You can export results from the dataset for CRM workflows and outreach planning. However, it’s your responsibility to comply with applicable laws, platform policies, and privacy/spam regulations. *** ### Support & feature requests Want to improve your **Airbnb phone number scraper** workflow? We’d love your feedback. - 💡 **Feature Requests**: Examples include adding more export options, improving dataset field coverage, or expanding targeting controls for more precise **Airbnb contact scraper** results - 📧 **Contact**: For help or custom scraping needs, reach out at Your ideas help shape future enhancements for this **Airbnb Phone Number Scraper**. *** *When you need an SEO-optimized way to scrape Airbnb phone numbers at scale, **Airbnb Phone Number Scraper** gives you structured, dataset-ready results you can act on quickly.* *** ### Disclaimer This tool only accesses **publicly accessible sources**. It does not access private profiles, authenticated data, or password-protected pages. You are responsible for complying with applicable laws (including GDPR/CCPA), spam regulations, and platform terms of service. If you need data removal assistance, contact . Please use this **Airbnb 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/airbnb-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/airbnb-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/airbnb-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=solid-scraper/airbnb-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Airbnb Phone Number Scraper", "description": "📞 Extract verified Airbnb phone numbers fast with this powerful scraper! Perfect for real estate, property managers, and lead generation—find direct contacts instantly. 🔎🚀 Save time, boost outreach, and scale your business efficiently.", "version": "0.1", "x-build-id": "E0hbYn8ZMiDwuaqFd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/solid-scraper~airbnb-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-solid-scraper-airbnb-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/solid-scraper~airbnb-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-solid-scraper-airbnb-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/solid-scraper~airbnb-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-solid-scraper-airbnb-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```