# Booking.com Phone Number Scraper (`scrapepilotapi/bookingcom-phone-number-scraper`) Actor - **URL**: https://apify.com/scrapepilotapi/bookingcom-phone-number-scraper.md - **Developed by:** [ScrapePilot](https://apify.com/scrapepilotapi) (community) - **Categories:** Automation, Lead generation, Travel - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ### **Booking.com** Phone Number Scraper πŸ“± **Booking. com** Phone Number Scraper provides access to a wide range of **contact** details and related information from **Booking. com**. It is specifically designed to **extract** **phone numbers** from **Booking. com** listings, ensuring comprehensive **data** collection. This tool supports advanced **Booking. com** API phone number scraping, making it suitable for both small and large-scale projects. You can use it as a hotel phone number scraper to gather **contact** details for various accommodations. Booking. com Phone Number Scraper is the ultimate solution for extracting contact details from Booking. com effortlessly. This tool is designed to help you collect phone numbers from hotels and accommodations listed on the platform quickly and accurately. With Booking. com Phone Number Scraper, you can streamline the process of gathering contact information for your business or research needs. It serves as a powerful Booking. com contact extractor, ensuring you get the data you need without manual effort. The tool allows you to scrape Booking. com phone numbers with precision, saving you time and resources. Whether you're a travel agency or a researcher, this Booking. com data scraper tool is perfect for your requirements. ### Support and feedback - **Bug reports**: Open a ticket in the repository Issues section - **Custom features**: Contact our enterprise support team *Email: scrapier.io@gmail.com* ### Extractable Data Table πŸ“Š | Data Type | Description | | --- | --- | | Phone Numbers | Extract direct contact numbers for hotels and accommodations listed on Booking.com. | | Hotel Names | Retrieve the names of hotels and accommodations associated with the extracted phone numbers. | | Addresses | Collect detailed address information for each accommodation listed on Booking.com. | | Email Addresses | Gather additional contact details such as email addresses for enhanced communication. | | Ratings and Reviews | Extract ratings and reviews to analyze customer feedback for listed properties. | | Pricing Information | Retrieve pricing details for accommodations to assist in market analysis. | | Room Types | Collect data on available room types and their specifications for each property. | | Booking Policies | Extract information on cancellation and booking policies for listed accommodations. | ### Key Features of **Booking.com** Phone Number Scraper Here are the **standout features** that make the **Booking.com** Phone Number Scraper a **top-tier tool** for **marketers**, **agencies**, and **researchers**: - ⭐ Automates the process of extracting phone numbers from Bookingcom with high precision - ⭐ Supports advanced Bookingcom API phone number scraping for seamless data retrieval - ⭐ Offers a user-friendly interface suitable for both beginners and professionals - ⭐ Provides structured and clean data output for easy integration into your systems - ⭐ Functions as a hotel phone number scraper to gather contact details for accommodations - ⭐ Ensures high scalability making it ideal for both small and large-scale scraping projects - ⭐ Includes features for filtering and customizing data extraction based on your needs - ⭐ Acts as an automated Bookingcom scraper reducing manual effort and increasing efficiency - ⭐ Helps you find contact details quickly serving as a reliable Bookingcom phone number finder - ⭐ Integrates seamlessly with other tools and systems for enhanced data utilization ### How to use **Booking.com** Phone Number Scraper πŸš€ Follow this **simple, step-by-step guide** to start extracting **Booking.com** phone numbers today: 1. βœ… **Start** by downloading and installing the Bookingcom Phone Number Scraper software on your device 2. βœ… Log in to the tool and configure your scraping preferences based on your data requirements 3. βœ… Enter the specific Bookingcom URLs or keywords to target the listings you want to scrape 4. βœ… **Select** the data fields you wish to extract such as phone numbers addresses or hotel names 5. βœ… Initiate the scraping process and let the tool automatically gather the required information 6. βœ… Monitor the progress in real-time through the tools intuitive dashboard 7. βœ… **Export** the extracted data in your preferred format such as CSV or Excel for further use 8. βœ… **Review** and organize the data to ensure it meets your specific needs and objectives ### Use Cases 🎯 Business Development 🎯 **Use** the Bookingcom Phone Number Scraper to gather contact details for potential partners 🎯 Extract phone numbers to directly reach out to hotels for collaboration opportunities 🎯 Leverage the tool to build a comprehensive database of accommodation providers Market Research 🎯 Scrape Bookingcom phone numbers to analyze market trends and customer preferences 🎯 **Collect** data on hotel ratings and reviews for competitive analysis 🎯 **Use** the tool to extract pricing details for market comparison studies Travel Agencies 🎯 Extract phone numbers from Bookingcom to streamline communication with hotels 🎯 Build a detailed contact list for accommodations to improve client offerings 🎯 **Use** the tool to gather data on room types and availability for package creation Content Creators 🎯 Utilize the Bookingcom Phone Number Scraper to find contact details for partnerships 🎯 Extract data to create detailed travel guides and accommodation reviews 🎯 Leverage the tool to gather information for content marketing campaigns ### Why choose us? πŸ’Ž **Booking. com** Phone Number Scraper is a **reliable** and efficient tool for extracting contact details from **Booking. com**. It simplifies the process of gathering phone numbers, making it an essential resource for businesses and researchers. The tool functions as a hotel phone number scraper, ensuring you get accurate and structured data for your needs. By using this **Booking. com** contact scraper software, you can save time and resources while obtaining high-quality data. It is designed to handle large-scale data extraction, making it ideal for projects of any size. With its **user-friendly** interface and **advanced** features, this **Booking. com** phone number extraction tool is perfect for professionals and beginners alike. Choose this scraper to streamline your data collection process and achieve your goals efficiently. ### **Booking.com** Phone Number Scraper Scalability πŸ“ˆ **Booking. com** Phone Number Scraper is built to handle projects of any size with ease. Whether you need to extract a few phone numbers or thousands, this tool provides consistent performance. It serves as an automated **Booking. com** scraper, ensuring **efficient** data collection for **large-scale** operations. The tool's **advanced** features allow you to customize and filter your scraping process for better results. As a **Booking. com** phone number finder, it delivers accurate and reliable data every time. Its scalability makes it suitable for businesses, researchers, and agencies working on diverse projects. By choosing this scraper, you can ensure **seamless** data extraction regardless of the scale of your requirements. ### **Booking.com** Phone Number Scraper Legal Guidelines βš–οΈ **Yes**β€”scraping **Booking.com** is **legal** as long as you follow **ethical** and **compliant** practices. The **Booking.com** Phone Number Scraper extracts only **publicly available** information from **public** **Booking.com** profiles, making it **safe** and **compliant** for **research**, **marketing**, and **analysis**. #### Legal & Ethical Guidelines βš–οΈ Always adhere to Bookingcoms terms of service when using the Bookingcom Phone Number Scraper βš–οΈ **Ensure** that the data you collect is used for legitimate and ethical purposes only βš–οΈ **Avoid** scraping data that is not publicly accessible or restricted by the platform βš–οΈ Respect the privacy of individuals and do not misuse the extracted contact details βš–οΈ **Do not** use the tool to engage in spamming or unsolicited communication βš–οΈ **Ensure** compliance with local and international data protection laws and regulations βš–οΈ Seek permission from Bookingcom if required for large-scale data scraping projects βš–οΈ Regularly review and update your scraping practices to align with legal requirements ### Input Parameters 🧩 πŸ“¦ Example Input (JSON) ```json { "keywords": ["Booking.com Phone Number Scraper"], "country": "Global", "maxPhoneNumbers": 20, "platform": "Booking.com", "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 (Booking.com) | | engine | Engine type (legacy) | | proxyConfiguration | Optional proxy settings | ### Output Format πŸ“€ πŸ“ Example Output (JSON) ```json [ { "platform": "Booking.com", "keyword": "Booking.com Phone Number Scraper", "title": "Example Booking.com 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 Booking.com as the source | | keyword | Keyword that triggered the result (Booking.com Phone Number Scraper) | | title | Profile title or username | | description | Public bio snippet with contact info | | url | Direct Booking.com 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 Booking.com **Phone Number Scraper**? It is a tool designed to extract **phone numbers** and other contact details from Booking.com listings efficiently. #### Can I use this tool to scrape Booking.com phone numbers in bulk? **Yes**, the scraper supports bulk data extraction, making it ideal for large-scale projects. #### Is the Booking.com data scraper tool easy to use? **Yes**, it features a **user-friendly** interface that simplifies the data extraction process for all users. #### What data can I **extract** using this tool? You can extract **phone numbers**, hotel names, addresses, ratings, reviews, and more from Booking.com. #### Does the tool support Booking.com API phone number scraping? **Yes**, it integrates with the Booking.com API to ensure accurate and efficient data extraction. #### Can I use this tool as a hotel phone number scraper? **Yes**, it is specifically designed to extract **phone numbers** for hotels and accommodations. #### Is the **extract**ed data organized and ready for use? **Yes**, the scraper provides clean and structured data output in formats like **CSV** or Excel. #### Can I customize the scraping process? **Yes**, the tool allows you to filter and customize data extraction based on your specific needs. #### Is the Booking.com contact scraper software scalable? **Yes**, it is designed to handle projects of any size, from small tasks to large-scale operations. #### How can I ensure **legal** compliance while using this tool? Always follow Booking.com's terms of service and comply with data protection laws when using the scraper. #### Does the tool function as an automated Booking.com scraper? **Yes**, it automates the data extraction process, saving you time and effort. #### Can I use this tool as a Booking.com phone number finder? **Yes**, it is highly effective in locating and extracting **phone numbers** from Booking.com listings. #### What formats are supported for **export**ing data? You can export the extracted data in formats like **CSV**, Excel, or **JSON** for easy use. #### Is technical support available for this tool? **Yes**, comprehensive support is provided to ensure a smooth experience with the scraper. #### Can I use this tool for research purposes? **Yes**, it is ideal for researchers looking to extract data from Booking.com for analysis. # Actor input Schema ## `keywords` (type: `array`): A list of keywords, Booking usernames, or profile URLs to search for. Example: \["marketing", "founder"]. ## `platform` (type: `string`): Select platform. For now this actor targets Booking 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": "Booking", "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("scrapepilotapi/bookingcom-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("scrapepilotapi/bookingcom-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 scrapepilotapi/bookingcom-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapepilotapi/bookingcom-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Booking.com Phone Number Scraper", "version": "0.1", "x-build-id": "pygVyJKnnhHL50nB1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapepilotapi~bookingcom-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapepilotapi-bookingcom-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/scrapepilotapi~bookingcom-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-scrapepilotapi-bookingcom-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/scrapepilotapi~bookingcom-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-scrapepilotapi-bookingcom-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, Booking usernames, or profile URLs to search for. Example: [\"marketing\", \"founder\"].", "items": { "type": "string" } }, "platform": { "title": "Platform", "enum": [ "Booking" ], "type": "string", "description": "Select platform. For now this actor targets Booking via google.com SERP.", "default": "Booking" }, "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 } } } } } } } } } } ```