# Twitter Profile Phone Number Scraper (`scraperx/twitter-profile-phone-number-scraper`) Actor - **URL**: https://apify.com/scraperx/twitter-profile-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, 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 ### **Twitter** Phone Number Scraper πŸ“± **Twitter** Profile Phone Number Scraper allows users to **extract** a variety of public **data** from **Twitter** profiles. It focuses on retrieving **phone numbers** and other essential **contact** information from accessible accounts. With this tool, you can **extract** **Twitter** profile **data** efficiently and securely. It serves as a reliable **Twitter** **data** scraping tool for professionals and businesses. The scraper is designed to find **phone numbers** on **Twitter**, ensuring you get the information you need without hassle. Its advanced algorithms make it a leading solution for those seeking to gather public **data** from **Twitter** profiles. Twitter Profile Phone Number Scraper is a powerful tool designed to extract phone numbers from public Twitter profiles. It helps users gather valuable contact information efficiently and accurately. With Twitter Profile Phone Number Scraper, you can streamline the process of finding phone numbers on Twitter. This tool acts as a reliable Twitter phone number extractor, saving you time and effort. Whether you're looking to scrape phone numbers from Twitter for business outreach or research purposes, this scraper simplifies the task. It functions as a comprehensive Twitter contact info scraper for seamless data extraction. ### 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 | | --- | --- | | Phone Numbers | Extract public phone numbers listed on Twitter profiles for direct contact purposes. | | Usernames | Retrieve Twitter usernames to identify and organize profiles efficiently. | | Profile Names | Capture the display names of Twitter users for better identification. | | Bio Information | Extract bio details from profiles to understand user interests and background. | | Profile URLs | Collect direct profile links for easy access and reference. | | Follower Count | Retrieve the number of followers to assess user influence and reach. | | Location | Extract location details provided by the user for targeted outreach. | | Website Links | Capture any websites linked in the user's profile for additional contact information. | ### Key Features of **Twitter** Phone Number Scraper Here are the **standout features** that make the **Twitter** Phone Number Scraper a **top-tier tool** for **marketers**, **agencies**, and **researchers**: - ⭐ **Accurate**ly extracts phone numbers from public **Twitter** profiles for effective communication - ⭐ Supports bulk **Twitter** phone number harvesting to save time and maximize efficiency - ⭐ Acts as a reliable **Twitter** user phone number finder for targeted outreach campaigns - ⭐ Utilizes advanced algorithms to ensure precise **Twitter** profile data extraction - ⭐ Compatible with scraping tools for **Twitter** profiles to enhance data collection processes - ⭐ Provides customizable filters to focus on specific user demographics or criteria - ⭐ Ensures secure data handling while scraping phone numbers from **Twitter** profiles - ⭐ Offers detailed insights into extracted **Twitter** contact information for better analysis - ⭐ Enables integration with other **Twitter** data scraping tools for comprehensive data collection - ⭐ Optimized for speed and performance to quickly find phone numbers on **Twitter** ### How to use **Twitter** Phone Number Scraper πŸš€ Follow this **simple, step-by-step guide** to start extracting **Twitter** phone numbers today: 1. βœ… Sign in to the **Twitter** Profile Phone Number Scraper dashboard to get started 2. βœ… Enter the **Twitter** handles or keywords for the profiles you want to analyze 3. βœ… Set filters to target specific user demographics or criteria for data extraction 4. βœ… Initiate the scraper to start extracting phone numbers and other profile data 5. βœ… Monitor the progress of the scraper in real-time through the dashboard interface 6. βœ… Download the extracted data in your preferred format for further use 7. βœ… Use the **Twitter** phone number extractor to refine and verify the collected data 8. βœ… Repeat the process as needed to scrape phone numbers from **Twitter** efficiently ### Use Cases 🎯 Business Outreach 🎯 **Use** **Twitter** Profile Phone Number Scraper to find potential leads for your business 🎯 **Collect** phone numbers from **Twitter** profiles for direct marketing campaigns 🎯 **Identify** and contact influencers for brand collaborations and promotions Market Research 🎯 Extract **Twitter** profile data to analyze user demographics and preferences 🎯 Gather contact information for surveys or targeted research initiatives 🎯 **Use** the tool as a **Twitter** data scraping tool to understand market trends Recruitment 🎯 **Find** phone numbers on **Twitter** to connect with potential job candidates 🎯 **Use** the scraper to identify professionals in specific industries or roles 🎯 Leverage **Twitter** contact info scraper for outreach during hiring campaigns Content Creator Partnerships 🎯 **Identify** creators and influencers by extracting **Twitter** profile data 🎯 **Use** the scraper to find phone numbers on **Twitter** for collaboration opportunities 🎯 Build relationships with creators using verified contact information Agency Use 🎯 Help clients by using **Twitter** user phone number finder for lead generation 🎯 Enhance marketing campaigns by harvesting phone numbers from **Twitter** profiles 🎯 Utilize the scraper to provide detailed reports on **Twitter** user data ### Why choose us? πŸ’Ž **Twitter** Profile Phone Number Scraper is a trusted solution for professionals and businesses. It enables users to find phone numbers on **Twitter** quickly and accurately. This tool simplifies the process of extracting **Twitter** profile data, saving time and effort. It is designed to work seamlessly with other scraping tools for **Twitter** profiles. The scraper ensures secure and **reliable** data handling, making it a preferred choice for many. With its **advanced** features, it acts as a powerful **Twitter** profile data extractor. Whether for business, research, or outreach, this tool delivers exceptional results. Its **user-friendly** interface and customizable options make it accessible to everyone. Choose **Twitter** Profile Phone Number Scraper for efficient and effective data extraction. ### **Twitter** Phone Number Scraper Scalability πŸ“ˆ **Twitter** Profile Phone Number Scraper is built to handle **large-scale** data extraction tasks. It supports bulk scraping, making it ideal for businesses and agencies. The tool is optimized for speed and performance, ensuring quick results even with high data volumes. It functions as a reliable **Twitter** user phone number finder for **extensive** outreach campaigns. With its robust infrastructure, it can manage multiple scraping tasks simultaneously. This scalability makes it suitable for projects of any size. Whether you're harvesting phone numbers from **Twitter** profiles or extracting other data, this tool delivers consistent performance. **Twitter** Profile Phone Number Scraper is designed to grow with your needs, ensuring long-term usability. ### **Twitter** Phone Number Scraper Legal Guidelines βš–οΈ **Yes**β€”scraping **Twitter** is **legal** as long as you follow **ethical** and **compliant** practices. The **Twitter** Phone Number Scraper extracts only **publicly available** information from **public** **Twitter** profiles, making it **safe** and **compliant** for **research**, **marketing**, and **analysis**. #### Legal & Ethical Guidelines βš–οΈ **Ensure** compliance with **Twitter**s terms of service when using the scraper βš–οΈ **Only** extract publicly available data from **Twitter** profiles βš–οΈ **Avoid** using the tool for unauthorized or unethical purposes βš–οΈ **Do not** scrape private or sensitive information from **Twitter** accounts βš–οΈ **Use** the **Twitter** phone number extractor responsibly for legitimate purposes βš–οΈ Inform users if their data is being collected and respect their privacy βš–οΈ Follow all applicable data protection and privacy laws in your region βš–οΈ Regularly review updates to **Twitter**s policies to ensure compliance ### Input Parameters 🧩 πŸ“¦ Example Input (JSON) ```json { "keywords": ["Twitter Profile Phone Number Scraper"], "country": "Global", "maxPhoneNumbers": 20, "platform": "Twitter", "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 (Twitter) | | engine | Engine type (legacy) | | proxyConfiguration | Optional proxy settings | ### Output Format πŸ“€ πŸ“ Example Output (JSON) ```json [ { "platform": "Twitter", "keyword": "Twitter Profile Phone Number Scraper", "title": "Example Twitter profile", "description": "Example description with phone number", "url": "https://x.com/example", "phone_number": "+1234567890", "country": "Global", "dial_code": "Auto-detected" } ] ``` ### Output Table | Data Type | Description | | --- | --- | | platform | Identifies Twitter as the source | | keyword | Keyword that triggered the result (Twitter Profile Phone Number Scraper) | | title | Profile title or username | | description | Public bio snippet with contact info | | url | Direct Twitter 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 Twitter Profile **Phone Number Scraper**? It is a tool designed to extract **phone numbers** and other public data from Twitter profiles. It acts as a reliable Twitter contact info scraper for **businesses** and professionals. #### How does the scraper find phone numbers on Twitter? The tool scans public Twitter profiles for listed contact details, including **phone numbers**. It uses advanced algorithms to ensure accurate data extraction. #### Can I use the scraper to **extract** Twitter profile data in bulk? **Yes**, the tool supports bulk data extraction, making it ideal for large-scale projects. It is a powerful Twitter data scraping tool for **businesses** and agencies. #### Is the Twitter Profile **Phone Number Scraper** **secure**? **Yes**, the scraper ensures **secure** data handling and protects user privacy. It is designed to comply with data protection regulations. #### What types of data can the scraper **extract**? It can extract **phone numbers**, usernames, bio information, profile URLs, and more. It serves as a comprehensive Twitter profile data extractor. #### Can I customize the scraping process? **Yes**, the tool offers customizable filters to target specific user demographics. This allows you to focus on the data most relevant to your needs. #### Is Twitter Profile **Phone Number Scraper** easy to use? **Yes**, the tool features a **user-friendly** interface for simple operation. It is designed for both beginners and advanced users. #### What are the **legal** considerations for using the scraper? Ensure **compliance** with Twitter's terms of service and data protection laws. Only extract **publicly available** data and use it for legitimate purposes. #### Can the scraper integrate with other tools? **Yes**, it is compatible with other scraping tools for Twitter profiles. This allows for more comprehensive data collection and analysis. #### What industries benefit from using the scraper? Industries such as marketing, recruitment, and research benefit greatly. It is a versatile Twitter user phone number finder for various applications. # Actor input Schema ## `keywords` (type: `array`): A list of keywords, Twitter usernames, or profile URLs to search for. Example: \["marketing", "founder"]. ## `platform` (type: `string`): Select platform. For now this actor targets Twitter 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": "Twitter", "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/twitter-profile-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/twitter-profile-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/twitter-profile-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraperx/twitter-profile-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter Profile Phone Number Scraper", "version": "0.1", "x-build-id": "cVlVvetabpCj5LvsB" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraperx~twitter-profile-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraperx-twitter-profile-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~twitter-profile-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-scraperx-twitter-profile-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~twitter-profile-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-scraperx-twitter-profile-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, Twitter usernames, or profile URLs to search for. Example: [\"marketing\", \"founder\"].", "items": { "type": "string" } }, "platform": { "title": "Platform", "enum": [ "Twitter" ], "type": "string", "description": "Select platform. For now this actor targets Twitter via google.com SERP.", "default": "Twitter" }, "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 } } } } } } } } } } ```