# Twitter Phone Number Scraper (`scraperx/twitter-phone-number-scraper`) Actor - **URL**: https://apify.com/scraperx/twitter-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 ### **Twitter** Phone Number Scraper πŸ“± The **Twitter** Phone Number Scraper is designed to gather a wide range of **data** from **Twitter** profiles. It focuses on **extract**ing **contact** information like **phone numbers** while maintaining accuracy and structure. This tool helps users scrape **contact** information from **Twitter**, including profile details and associated meta**data**. It integrates seamlessly with **Twitter** automation tools to enhance efficiency and reduce manual effort. By using this phone number **extract**ion tool for **Twitter**, you can collect **data** in bulk for various professional needs. The scraper ensures compliance with **data** collection standards while delivering high-quality results. It is an ideal solution for businesses, researchers, and marketers aiming to build **contact** lists from **Twitter** profiles efficiently. Twitter Phone Number Scraper is an essential tool for extracting valuable contact information from Twitter profiles. It is designed to streamline the process of gathering phone numbers efficiently and accurately. With this Twitter data extraction tool, users can extract phone numbers from Twitter in bulk, saving time and effort. Whether you're conducting research or generating leads, this software simplifies the task. Twitter scraping software like this enables businesses to access contact details for outreach and marketing purposes. By automating the process, it eliminates the need for manual data collection. ### 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 phone numbers linked to public Twitter profiles for outreach and lead generation. | | Profile Names | Capture the names associated with Twitter accounts for better identification. | | Usernames | Gather Twitter usernames to connect with users directly on the platform. | | Profile Bio Information | Scrape bio details to understand user interests and professional roles. | | Location Data | Extract location details shared on Twitter profiles for targeted campaigns. | | Followers and Following Counts | Collect follower metrics to analyze account reach and influence. | | Profile URLs | Retrieve direct links to Twitter profiles for quick access and verification. | | Contact Links | Scrape additional contact links shared in profiles for comprehensive data collection. | ### 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**: - ⭐ **Automated** data extraction for efficient and accurate phone number scraping from **Twitter** profiles - ⭐ User-friendly interface designed for both beginners and advanced users of **Twitter** scraping software - ⭐ Supports bulk data collection to save time when extracting large volumes of information - ⭐ **Customizable** filters to refine searches and target specific **Twitter** profiles or groups - ⭐ Seamless integration with **Twitter** automation tools for streamlined workflows - ⭐ **High**-speed performance to extract phone numbers from **Twitter** quickly and effectively - ⭐ Built-in data validation to ensure the accuracy and reliability of collected information - ⭐ **Secure** and compliant scraping practices to protect user privacy and adhere to **Twitter** guidelines - ⭐ **Comprehensive** reporting features to organize and export data in various formats - ⭐ **Regular** updates to maintain compatibility with **Twitter**s platform changes ### How to use **Twitter** Phone Number Scraper πŸš€ Follow this **simple, step-by-step guide** to start extracting **Twitter** phone numbers today: 1. βœ… Download and install the **Twitter** Phone Number Scraper on your device 2. βœ… Log in to the tool and connect it to your **Twitter** account for access permissions 3. βœ… Enter specific keywords or hashtags to target relevant **Twitter** profiles 4. βœ… Set filters to refine your search such as location or follower count 5. βœ… **Start** the scraping process to extract phone numbers and other profile data 6. βœ… Monitor the progress in real-time through the tools dashboard 7. βœ… **Export** the collected data into your preferred format such as CSV or Excel 8. βœ… **Review** and validate the extracted information for accuracy and completeness ### Use Cases 🎯 Business Outreach 🎯 **Use** the **Twitter** Phone Number Scraper to build contact lists for marketing campaigns 🎯 **Identify** potential clients by extracting phone numbers from relevant **Twitter** profiles 🎯 Enhance lead generation efforts with accurate and organized contact data Market Research 🎯 Gather data from **Twitter** profiles to analyze user demographics and preferences 🎯 Extract phone numbers to conduct surveys or interviews with targeted groups 🎯 **Use** the tool to study trends and patterns in specific industries or locations Creator Partnerships 🎯 **Find** contact information for influencers and creators on **Twitter** for collaborations 🎯 Scrape contact information from **Twitter** profiles to streamline outreach efforts 🎯 **Identify** potential brand ambassadors by analyzing profile data and engagement Agency Use 🎯 Help clients build their contact databases using the **Twitter** Phone Number Scraper 🎯 Provide data-driven insights by extracting and analyzing **Twitter** user data 🎯 Offer targeted advertising services by leveraging accurate profile information ### Why choose us? πŸ’Ž The **Twitter** Phone Number Scraper is a trusted solution for extracting contact information from **Twitter** profiles. It is designed to meet the needs of businesses, researchers, and marketers. With this phone number extraction tool for **Twitter**, you can save time and effort by automating the data collection process. Our tool ensures accuracy and compliance, making it a **reliable** choice for professionals. The **Twitter** lead generation scraper is equipped with **advanced** features to enhance efficiency and deliver high-quality results. It is **user-friendly** and suitable for both small-scale and large-scale data extraction tasks. By using the **Twitter** user data scraper, you can build comprehensive contact lists for various purposes. Choose our tool for its speed, reliability, and ability to adapt to your specific needs. ### **Twitter** Phone Number Scraper Scalability πŸ“ˆ The **Twitter** Phone Number Scraper is built to handle data extraction tasks of any size. Whether you need to collect a few profiles or thousands, this tool can scale to meet your requirements. It is one of the best **Twitter** scraping tools for businesses and researchers. The tool's robust infrastructure ensures high performance even for **large-scale** data extraction projects. With the **Twitter** phone number finder, you can **efficient**ly gather contact information without compromising on speed or accuracy. It supports bulk data collection and provides **customizable** options to refine your searches. This scalability makes it an ideal choice for professionals looking to extract phone numbers from **Twitter** on a large scale. ### **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 Always ensure compliance with **Twitter**s terms of service when using the **Twitter** Phone Number Scraper βš–οΈ **Do not** use the tool to collect data from private accounts or restricted profiles βš–οΈ **Avoid** sharing or selling extracted data without the consent of the data owners βš–οΈ **Use** the **Twitter** data extraction tool only for legitimate and ethical purposes βš–οΈ **Ensure** that the extracted phone numbers are used in accordance with applicable privacy laws βš–οΈ **Do not** attempt to bypass **Twitter**s security measures or restrictions while scraping data βš–οΈ Regularly review updates to **Twitter**s policies to ensure continued compliance βš–οΈ Seek legal advice if you are unsure about the ethical use of the phone number extraction tool for **Twitter** ### Input Parameters 🧩 πŸ“¦ Example Input (JSON) ```json { "keywords": ["Twitter 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 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 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 the Twitter **Phone Number Scraper**? The Twitter Phone Number Scraper is a tool designed to extract **phone numbers** and other contact information from Twitter profiles efficiently. #### Is the Twitter **Phone Number Scraper** easy to use? **Yes**, the tool features a **user-friendly** interface that simplifies the process of extracting data from Twitter. #### Can I **extract** phone numbers from **private** Twitter accounts? **No**, the tool only extracts data from public Twitter profiles in **compliance** with Twitter's terms of service. #### Does the tool support bulk data **extract**ion? **Yes**, the Twitter Phone Number Scraper is designed to handle bulk data collection tasks efficiently. #### Is the **extract**ed data accurate? The tool includes data validation features to ensure the accuracy and reliability of the extracted information. #### Can I use the tool for **lead generation**? **Yes**, the Twitter Phone Number Scraper is ideal for lead generation by collecting contact details from relevant profiles. #### What formats can I **export** the data in? You can export the extracted data in formats such as **CSV** or Excel for easy analysis and use. #### Is the tool compatible with Twitter automation tools? **Yes**, the scraper integrates **seamless**ly with Twitter automation tools to enhance efficiency. #### What industries benefit from this tool? Industries such as marketing, research, and recruitment benefit greatly from using the Twitter Phone Number Scraper. #### Is the tool **secure** to use? **Yes**, the tool follows **secure** and compliant practices to protect user privacy and adhere to legal guidelines. # 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-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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "keywords": ["marketing"] } # Run the Actor and wait for it to finish run = client.actor("scraperx/twitter-phone-number-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "marketing" ] }' | apify call scraperx/twitter-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraperx/twitter-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter Phone Number Scraper", "version": "0.1", "x-build-id": "jkPBNxKeTGrHbnQyX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraperx~twitter-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraperx-twitter-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-scraperx-twitter-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-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-scraperx-twitter-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 } } } } } } } } } } ```