# Trivago Phone Number Scraper (`scraperx/trivago-phone-number-scraper`) Actor - **URL**: https://apify.com/scraperx/trivago-phone-number-scraper.md - **Developed by:** [ScraperX](https://apify.com/scraperx) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### **Social Media** Phone Number Scraper πŸ“± Trivago Phone Number Scraper specializes in **extract**ing valuable **contact** details from **Social Media** platforms. Users can gather hotel **phone numbers**, ensuring they have access to critical communication channels. The tool is designed to **extract** Trivago **contact** details such as **phone numbers**, making it indispensable for travel businesses. Trivago phone number **extract**ion is performed with precision, ensuring the **data** is accurate and reliable. As the best scraper for Trivago **data**, it provides users with essential **contact** information for hotels listed on Trivago. This scraper is ideal for professionals looking to streamline their **data** collection process efficiently. Trivago Phone Number Scraper is a powerful tool designed to extract contact details from Social Media platforms efficiently. It simplifies the process of gathering phone numbers for hotels listed on Trivago. With Trivago Phone Number Scraper, users can access accurate and up-to-date contact information effortlessly. This Trivago contact scraper tool is ideal for businesses seeking reliable hotel phone numbers. Trivago Phone Number Scraper combines advanced technology with user-friendly features. It is the best hotel phone number extractor for those looking to streamline their data collection process. ### Support and feedback - **Bug reports**: Open a ticket in the repository Issues section - **Custom features**: Contact our enterprise support team *Email: dev.scraperengine@gmail.com* ### Extractable Data Table πŸ“Š | Data Type | Description | | --- | --- | | Hotel phone numbers | Extract direct phone numbers for hotels listed on Trivago. | | Hotel contact details | Collect additional contact information such as email addresses and location details. | | Social Media profiles | Scrape links to Social Media profiles associated with Trivago listings. | | Hotel names | Identify the names of hotels for better organization and reference. | | Hotel addresses | Retrieve physical addresses of hotels listed on Trivago. | | Customer service numbers | Extract customer service phone numbers for hotels. | | Booking contact numbers | Gather phone numbers specifically for booking inquiries. | | Hotel websites | Scrape links to official hotel websites for additional details. | ### Key Features of **Social Media** Phone Number Scraper Here are the **standout features** that make the **Social Media** Phone Number Scraper a **top-tier tool** for **marketers**, **agencies**, and **researchers**: - ⭐ Trivago Phone Number Scraper offers fast and accurate data extraction for **Social Media** platforms - ⭐ This tool ensures seamless Trivago automated data scraping with minimal effort - ⭐ Users can rely on this hotel contact scraper for Trivago to gather essential phone numbers efficiently - ⭐ It supports bulk data extraction saving time and resources for users - ⭐ **Advanced** filters allow users to target specific hotels or regions for data collection - ⭐ The scraper provides real-time updates to ensure the accuracy of extracted data - ⭐ It integrates easily with other tools enhancing workflow and productivity - ⭐ Trivago Phone Number Scraper is designed for scalability accommodating large-scale data needs - ⭐ The tool prioritizes user privacy and complies with ethical data scraping standards - ⭐ It offers unmatched reliability making it the best scraper for Trivago data ### How to use **Social Media** Phone Number Scraper πŸš€ Follow this **simple, step-by-step guide** to start extracting **Social Media** phone numbers today: 1. βœ… Download and install the Trivago Phone Number Scraper software on your device 2. βœ… Log in to your account and navigate to the **Social Media** scraping section 3. βœ… Enter your search criteria such as hotel names or locations for targeted scraping 4. βœ… **Select** the data types you wish to extract including phone numbers and contact details 5. βœ… Adjust filters to refine your search results for more precise data collection 6. βœ… **Start** the scraping process and monitor the progress through the dashboard 7. βœ… **Export** the extracted data in your preferred format for further use 8. βœ… **Review** and organize the data to ensure it meets your specific needs ### Use Cases 🎯 Business Use 🎯 Trivago Phone Number Scraper helps businesses connect with hotels for partnerships 🎯 Extract Trivago contact details to streamline communication with hotel managers 🎯 **Use** the tool to identify potential collaborators in the travel industry Research 🎯 Researchers can use Trivago Phone Number Scraper to study hotel trends and data 🎯 Extract Trivago contact details for academic or market research purposes 🎯 Gather comprehensive data to analyze the hospitality sector more effectively Creator Partnerships 🎯 Influencers can use Trivago Phone Number Scraper to connect with hotels for collaborations 🎯 Scraping Trivago for phone numbers enables creators to pitch partnership ideas directly 🎯 **Use** the tool to identify hotels interested in **Social Media** marketing campaigns Agency Use 🎯 Travel agencies can use Trivago Phone Number Scraper to build hotel contact databases 🎯 Extract Trivago contact details to improve booking and customer service processes 🎯 Streamline communication with hotels using accurate contact information ### Why choose us? πŸ’Ž Trivago Phone Number Scraper is designed to meet the unique needs of **Social Media** users. It is the **best** scraper for Trivago data, offering fast and **reliable** extraction of hotel phone numbers. This tool ensures accurate data collection, helping users connect with hotels efficiently. Trivago customer contact scraper simplifies communication by providing up-to-date contact information. Scraping Trivago for phone numbers has never been easier, thanks to its **advanced** features and **user-friendly** interface. It is ideal for businesses, researchers, and agencies looking for **reliable** data extraction solutions. Trivago Phone Number Scraper prioritizes user satisfaction, making it a trusted choice for professionals. ### **Social Media** Phone Number Scraper Scalability πŸ“ˆ Trivago Phone Number Scraper is built to handle **large-scale** data extraction needs. It supports bulk scraping, making it ideal for users with **extensive** data requirements. Trivago automated data scraping ensures fast and **efficient** collection of hotel phone numbers. The tool adapts to varying data demands, providing consistent performance at all levels. Users can rely on this hotel contact scraper for Trivago to extract contact details for thousands of listings. It is designed for scalability, accommodating both small and large data projects effectively. Trivago Phone Number Scraper guarantees reliability and accuracy, even for complex data scraping tasks. ### **Social Media** Phone Number Scraper Legal Guidelines βš–οΈ **Yes**β€”scraping **Social Media** is **legal** as long as you follow **ethical** and **compliant** practices. The **Social Media** Phone Number Scraper extracts only **publicly available** information from **public** **Social Media** profiles, making it **safe** and **compliant** for **research**, **marketing**, and **analysis**. #### Legal & Ethical Guidelines βš–οΈ **Ensure** compliance with local data privacy laws when using Trivago Phone Number Scraper βš–οΈ **Use** the tool ethically and avoid scraping data without proper authorization βš–οΈ **Do not** use extracted data for unsolicited marketing or spam activities βš–οΈ Respect the terms of service of **Social Media** platforms when scraping data βš–οΈ Verify the accuracy of extracted data before using it for business purposes βš–οΈ Trivago contact scraper tool is designed for legal and ethical data collection only βš–οΈ **Avoid** scraping sensitive or personal information without explicit consent βš–οΈ **Use** hotel phone number extractor responsibly to maintain professional integrity ### Input Parameters 🧩 πŸ“¦ Example Input (JSON) ```json { "keywords": ["Trivago Phone Number Scraper"], "country": "Global", "maxPhoneNumbers": 20, "platform": "Social Media", "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 (Social Media) | | engine | Engine type (legacy) | | proxyConfiguration | Optional proxy settings | ### Output Format πŸ“€ πŸ“ Example Output (JSON) ```json [ { "platform": "Social Media", "keyword": "Trivago Phone Number Scraper", "title": "Example Social Media 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 Social Media as the source | | keyword | Keyword that triggered the result (Trivago Phone Number Scraper) | | title | Profile title or username | | description | Public bio snippet with contact info | | url | Direct Social Media 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 Trivago **Phone Number Scraper**? Trivago Phone Number Scraper is a tool designed to extract hotel **phone numbers** from Social Media platforms efficiently. #### How does Trivago **Phone Number Scraper** work? It uses advanced algorithms to scrape and extract Trivago contact details, including **phone numbers** and other relevant data. #### Is Trivago **Phone Number Scraper** **legal** to use? **Yes**, it is legal when used in **compliance** with data privacy laws and platform terms of service. #### Can I **extract** other contact details besides phone numbers? **Yes**, the tool can extract email addresses, Social Media profiles, and other relevant contact information. #### Is Trivago **Phone Number Scraper** suitable for **large-scale** data projects? **Yes**, it supports bulk data extraction, making it ideal for large-scale scraping tasks. #### What formats can I **export** the data in? You can export data in formats such as **CSV**, Excel, or **JSON** for easy use and integration. #### Does Trivago **Phone Number Scraper** guarantee data accuracy? **Yes**, it is designed to provide accurate and up-to-date contact information for hotels listed on Trivago. #### Can I use Trivago **Phone Number Scraper** for research purposes? **Yes**, it is ideal for researchers looking to gather data on hotels and the hospitality industry. #### Is Trivago **Phone Number Scraper** beginner-friendly? **Yes**, it features a **user-friendly** interface that makes it easy for beginners to use. #### What makes Trivago **Phone Number Scraper** the best scraper for Trivago data? Its accuracy, speed, and advanced features make it the best choice for extracting hotel contact details from Trivago. #### Can I scrape Social Media profiles linked to Trivago listings? **Yes**, the tool can extract Social Media profile links associated with hotels listed on Trivago. #### Is Trivago **Phone Number Scraper** customizable? **Yes**, it offers filters and settings to customize your data extraction process according to your needs. #### Does Trivago **Phone Number Scraper** support automated scraping? **Yes**, it features Trivago **automated** data scraping for efficient and hands-free data collection. #### Can I use Trivago **Phone Number Scraper** for agency purposes? **Yes**, it is perfect for travel agencies looking to build comprehensive hotel contact databases. #### Is Trivago **Phone Number Scraper** safe to use? **Yes**, it prioritizes user privacy and complies with ethical data scraping practices. # Actor input Schema ## `keywords` (type: `array`): A list of keywords, Trivago usernames, or profile URLs to search for. Example: \["marketing", "founder"]. ## `platform` (type: `string`): Select platform. For now this actor targets Trivago 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": "Trivago", "country": "United Kingdom (+44)", "maxPhoneNumbers": 20, "engine": "legacy" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "keywords": [ "marketing" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scraperx/trivago-phone-number-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": ["marketing"] } # Run the Actor and wait for it to finish run = client.actor("scraperx/trivago-phone-number-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "marketing" ] }' | apify call scraperx/trivago-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraperx/trivago-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Trivago Phone Number Scraper", "version": "0.1", "x-build-id": "BabfsQU9C4UxTQDSl" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraperx~trivago-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraperx-trivago-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraperx~trivago-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-scraperx-trivago-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraperx~trivago-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-scraperx-trivago-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, Trivago usernames, or profile URLs to search for. Example: [\"marketing\", \"founder\"].", "items": { "type": "string" } }, "platform": { "title": "Platform", "enum": [ "Trivago" ], "type": "string", "description": "Select platform. For now this actor targets Trivago via google.com SERP.", "default": "Trivago" }, "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 } } } } } } } } } } ```