# Hotels.com Phone Number Scraper (`scrapepilotapi/hotels-com-phone-number-scraper`) Actor - **URL**: https://apify.com/scrapepilotapi/hotels-com-phone-number-scraper.md - **Developed by:** [ScrapePilot](https://apify.com/scrapepilotapi) (community) - **Categories:** Lead generation, Social media, 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 ### **Hotels.com** Phone Number Scraper πŸ“± Hotels Com Phone Number Scraper enables users to collect valuable **contact** information from **Hotels. com** listings. This hotel **data** scraping software is designed to provide accurate and comprehensive results. It allows users to scrape hotel **contact** information, including **phone numbers**, addresses, and other essential details. The tool functions as a hotel booking site scraper, ensuring that users can access critical **data** for operational or marketing purposes. With Hotels Com Phone Number Scraper, you can streamline your **data** collection process and focus on utilizing the **extract**ed information effectively. Hotels Com Phone Number Scraper is a powerful tool designed to help users extract phone numbers from Hotels. com listings efficiently. It serves as an essential hotel contact scraper tool for businesses and researchers. With Hotels Com Phone Number Scraper, you can easily extract hotel phone numbers from Hotels. com listings. This phone number scraper for hotels simplifies the process of gathering contact details for various purposes. Hotels Com Phone Number Scraper is ideal for those seeking to streamline their data collection efforts. It combines advanced technology with user-friendly features to deliver accurate results quickly. ### 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 | | --- | --- | | Hotel phone numbers | Automated hotel phone number extraction ensures accurate and quick retrieval of contact details. | | Hotel addresses | Hotel directory phone scraper also captures physical addresses for comprehensive contact information. | | Hotel names | Scrape hotel contact information including names for better identification and organization. | | Booking details | Hotel booking site scraper retrieves booking-related data for operational insights. | | Website URLs | Hotel website data scraper collects URLs for direct access to hotel websites. | | Email addresses | Scraping hotel contact details includes email extraction for communication purposes. | | Ratings and reviews | Extract ratings and reviews to analyze customer feedback and satisfaction. | | Pricing information | Retrieve pricing details to compare rates across different hotels. | ### Key Features of **Hotels.com** Phone Number Scraper Here are the **standout features** that make the **Hotels.com** Phone Number Scraper a **top-tier tool** for **marketers**, **agencies**, and **researchers**: - ⭐ Hotels Com Phone Number Scraper offers fast and reliable data extraction from Hotelscom listings - ⭐ The tool functions as a hotel website data scraper ensuring users can access URLs and additional contact details - ⭐ Scraping hotel contact details is made simple with its intuitive interface and advanced technology - ⭐ Hotels Com Phone Number Scraper ensures automated hotel phone number extraction for efficiency - ⭐ Users can rely on this hotel directory phone scraper for accurate and organized contact information - ⭐ The tool supports bulk data extraction making it ideal for large-scale operations - ⭐ Hotels Com Phone Number Scraper provides customizable scraping options for tailored results - ⭐ It includes advanced filtering capabilities to refine the data extraction process - ⭐ The software integrates seamlessly with other tools for enhanced data management - ⭐ Hotels Com Phone Number Scraper ensures compliance with ethical scraping guidelines ### How to use **Hotels.com** Phone Number Scraper πŸš€ Follow this **simple, step-by-step guide** to start extracting **Hotels.com** phone numbers today: 1. βœ… Download and install Hotels Com Phone Number Scraper on your device 2. βœ… Log in to your account and configure the tools settings for Hotelscom scraping 3. βœ… Enter specific criteria such as location or hotel type to refine your search 4. βœ… Initiate the scraping process and allow the tool to extract hotel phone numbers 5. βœ… Monitor the progress and review the extracted data in real-time 6. βœ… **Export** the collected data in your preferred format for further use 7. βœ… Use the filtering options to organize and refine the extracted information 8. βœ… **Integrate** the data with other tools or software for operational purposes ### Use Cases 🎯 Business Applications 🎯 Hotels Com Phone Number Scraper helps businesses extract hotel phone numbers for marketing campaigns 🎯 **Use** the tool to gather contact details for partnerships with hotel chains Research Purposes 🎯 Researchers can use Hotels Com Phone Number Scraper to analyze hotel industry trends 🎯 Extract hotel contact information for academic studies or market research Agency Use 🎯 Agencies can rely on Hotels Com Phone Number Scraper for efficient data collection 🎯 **Use** the tool to streamline operations and improve client services Creator Partnerships 🎯 Content creators can use Hotels Com Phone Number Scraper to connect with hotels for collaborations 🎯 Extract detailed contact information to build professional relationships ### Why choose us? πŸ’Ž Hotels Com Phone Number Scraper is the ultimate tool for extracting contact information from **Hotels. com** listings. It offers unmatched efficiency and accuracy, ensuring users can access the data they need quickly. The tool functions as a **reliable** hotel booking site scraper, providing comprehensive results for various purposes. With automated hotel phone number extraction capabilities, users can save time and focus on utilizing the data effectively. Hotels Com Phone Number Scraper also serves as a hotel directory phone scraper, offering organized and detailed contact information. Its **user-friendly** interface and **advanced** features make it the preferred choice for professionals seeking **reliable** data scraping solutions. ### **Hotels.com** Phone Number Scraper Scalability πŸ“ˆ Hotels Com Phone Number Scraper is designed to handle **large-scale** data extraction **efficient**ly. It functions as a hotel website data scraper, offering users the ability to collect vast amounts of information with ease. The tool supports bulk scraping, making it ideal for businesses and researchers with **extensive** data needs. Scraping hotel contact details is streamlined with **advanced** filtering and customization options. Hotels Com Phone Number Scraper ensures scalability by providing robust features that adapt to varying requirements. Users can rely on the tool for consistent and accurate results, regardless of the scope of their projects. ### **Hotels.com** Phone Number Scraper Legal Guidelines βš–οΈ **Yes**β€”scraping **Hotels.com** is **legal** as long as you follow **ethical** and **compliant** practices. The **Hotels.com** Phone Number Scraper extracts only **publicly available** information from **public** **Hotels.com** profiles, making it **safe** and **compliant** for **research**, **marketing**, and **analysis**. #### Legal & Ethical Guidelines βš–οΈ **Ensure** compliance with Hotelscom terms of service when using Hotels Com Phone Number Scraper βš–οΈ **Do not** use the tool to extract hotel phone numbers for illegal activities βš–οΈ Respect privacy laws and regulations when scraping hotel contact information βš–οΈ **Obtain** permission if required before using the data for marketing purposes βš–οΈ **Use** Hotels Com Phone Number Scraper ethically and responsibly at all times βš–οΈ **Avoid** sharing or selling extracted data without proper authorization βš–οΈ Follow industry standards for ethical data scraping practices βš–οΈ Regularly review legal guidelines to ensure compliance with applicable laws ### Input Parameters 🧩 πŸ“¦ Example Input (JSON) ```json { "keywords": ["Hotels Com Phone Number Scraper"], "country": "Global", "maxPhoneNumbers": 20, "platform": "Hotels.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 (Hotels.com) | | engine | Engine type (legacy) | | proxyConfiguration | Optional proxy settings | ### Output Format πŸ“€ πŸ“ Example Output (JSON) ```json [ { "platform": "Hotels.com", "keyword": "Hotels Com Phone Number Scraper", "title": "Example Hotels.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 Hotels.com as the source | | keyword | Keyword that triggered the result (Hotels Com Phone Number Scraper) | | title | Profile title or username | | description | Public bio snippet with contact info | | url | Direct Hotels.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 Hotels Com **Phone Number Scraper**? Hotels Com Phone Number Scraper is a tool designed to extract **phone numbers** and other contact details from **Hotels.com** listings efficiently. #### How does Hotels Com **Phone Number Scraper** work? The tool uses advanced technology to scrape hotel contact information, including **phone numbers**, addresses, and more. #### Can I use Hotels Com **Phone Number Scraper** for bulk data **extract**ion? **Yes**, the tool supports bulk scraping, making it ideal for large-scale projects and operations. #### Is Hotels Com **Phone Number Scraper** user-friendly? **Yes**, the tool features an intuitive interface for easy navigation and efficient data collection. #### What data can I **extract** using Hotels Com **Phone Number Scraper**? You can extract **phone numbers**, addresses, website URLs, email addresses, and other hotel contact details. #### Is Hotels Com **Phone Number Scraper** **legal** to use? **Yes**, as long as you comply with **Hotels.com** terms of service and applicable privacy laws. #### Can I customize the scraping process with Hotels Com **Phone Number Scraper**? **Yes**, the tool offers advanced **filtering** options for tailored data extraction. #### Does Hotels Com **Phone Number Scraper** support integration with other tools? **Yes**, the software integrates **seamless**ly with other tools for enhanced data management. #### Is Hotels Com **Phone Number Scraper** suitable for researchers? **Yes**, researchers can use the tool to analyze industry trends and collect valuable data. #### How accurate is the data **extract**ed by Hotels Com **Phone Number Scraper**? The tool ensures high accuracy and reliability in the data extraction process. #### Can I **export** **extract**ed data from Hotels Com **Phone Number Scraper**? **Yes**, you can export the data in various formats for further use. #### Does Hotels Com **Phone Number Scraper** provide real-time data **extract**ion? **Yes**, the tool allows you to monitor and review data in real-time. #### Is Hotels Com **Phone Number Scraper** suitable for agencies? **Yes**, agencies can use the tool to streamline operations and improve services. #### What makes Hotels Com **Phone Number Scraper** unique? Its efficiency, accuracy, and advanced features make it the preferred choice for professionals. #### Can I use Hotels Com **Phone Number Scraper** for marketing purposes? **Yes**, but ensure **compliance** with privacy laws and obtain necessary permissions. # Actor input Schema ## `keywords` (type: `array`): A list of keywords, Hotels usernames, or profile URLs to search for. Example: \["marketing", "founder"]. ## `platform` (type: `string`): Select platform. For now this actor targets Hotels 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": "Hotels", "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/hotels-com-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/hotels-com-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/hotels-com-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapepilotapi/hotels-com-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hotels.com Phone Number Scraper", "version": "0.1", "x-build-id": "lvZ79P3azNhVVz4Uh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapepilotapi~hotels-com-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapepilotapi-hotels-com-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~hotels-com-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-scrapepilotapi-hotels-com-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~hotels-com-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-scrapepilotapi-hotels-com-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, Hotels usernames, or profile URLs to search for. Example: [\"marketing\", \"founder\"].", "items": { "type": "string" } }, "platform": { "title": "Platform", "enum": [ "Hotels" ], "type": "string", "description": "Select platform. For now this actor targets Hotels via google.com SERP.", "default": "Hotels" }, "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 } } } } } } } } } } ```