# Telegram Phone Number Scraper (`scrapers-hub/telegram-phone-number-scraper`) Actor 📞 Telegram Phone Number Scraper extracts phone numbers from Telegram profiles with speed and precision. 🚀 Perfect for lead generation, sales outreach & market research. 🔍 Save time, target better, grow smarter. - **URL**: https://apify.com/scrapers-hub/telegram-phone-number-scraper.md - **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ### Telegram Phone Number Scraper 🔍 **Telegram Phone Number Scraper** automatically extracts phone numbers from publicly available Telegram profiles, bios, and post content using your provided keywords and a country targeting filter. Whether you’re using a **telegram phone number scraper** for lead generation, a **telegram contacts scraper** for audience research, or a **telegram user phone number extractor** for data enrichment, this actor helps you collect usable contact data at scale—saving you hours of manual searching. --- ### 🚀 Why choose Telegram Phone Number Scraper? | Feature | Benefit | | --- | --- | | ✅ **Keyword-driven extraction** | Finds relevant Telegram profiles using your keywords and country targeting | | ✅ **Country code filtering** | Focuses extraction on the phone numbers matching your selected country | | ✅ **Bulk extraction controls** | Stops after `maxPhoneNumbers` are found so you can plan runs | | ✅ **Resilient scraping behavior** | Includes retries and fallbacks for resilience when results are limited | | ✅ **Structured dataset output** | Saves results with consistent fields for easy export and analysis | | ✅ **Incremental saving** | Pushes each found record to the dataset as it’s discovered | --- ### 🔑 Key features - 🔎 **Telegram phone number harvesting**: Extracts phone numbers from Telegram profiles, bios, and post content using your keywords. - 🎯 **Country-targeted results**: Uses your selected country to improve the relevance of extracted numbers. - 🧠 **Smart result limits**: Lets you cap the run with `maxPhoneNumbers` (e.g., for test runs or controlled batches). - 🛡️ **Reliability-focused runs**: Built-in resilience (including retries and fallbacks) to keep long jobs moving. - 💾 **Dataset-friendly output**: Each match is stored with fields like `keyword`, `title`, `url`, and `phone_number`. - 🔄 **Resumable progress**: Uses a stored progress key so long runs can continue where they left off. --- ### 📝 Input Provide input via an `input.json` file. Example structure: ```json { "keywords": ["marketing", "founder"], "location": "London", "country": "United Kingdom (+44)", "maxPhoneNumbers": 20 } ```` #### Input Fields | Field | Required | Description | | --- | --- | --- | | `keywords` | Yes | List of keywords used to find relevant Telegram profiles and content for phone number extraction. | | `location` | No | Optional location filter (for example, `London` or `California`). Leave empty for a global search. | | `country` | Yes | Target country for phone numbers. The actor uses this to focus extraction on that country’s dialing format. | | `maxPhoneNumbers` | No | Maximum number of phone numbers to find before stopping. Higher values can extend runtime (default is 20, max is 10000). | *** ### 📦 Output The actor saves each scraped result into the dataset as JSON objects pushed to the default dataset view **“Scraped Phone Numbers”** (table view). Example output record: ```json [ { "platform": "Telegram", "keyword": "marketing", "title": "Some Telegram result title", "description": "Some extracted text that may contain a phone number", "url": "https://example.com/some-profile", "phone_number": "+447700900123", "country": "United Kingdom", "dial_code": "+44" } ] ``` #### Output Fields | Field | Type | Description | | --- | --- | --- | | `platform` | string | Always set to `Telegram` for this actor’s results. | | `keyword` | string | The keyword used for the extraction run that produced this result. | | `title` | string | The title associated with the extracted result. | | `description` | string | Text extracted from the source content where the phone number was found. | | `url` | string | The URL pointing to the Telegram-related source for this record. | | `phone_number` | string | Extracted phone number in E.164 format (e.g., `+4477...`). | | `country` | string | Country name derived from your selected country option. | | `dial_code` | string | Dial code derived from your selected country option. | After exporting, you can use the data as input for pipelines that support **telegram phone numbers for marketing**, **telegram lead generation phone scraper** workflows, or **telegram database phone numbers** research projects. *** ### 🚀 How to use Telegram Phone Number Scraper (via Apify Console) 1. **Open Apify Console**\ Log in at [console.apify.com](https://console.apify.com) and go to the **Actors** section. 2. **Find Telegram Phone Number Scraper**\ Search for **Telegram Phone Number Scraper** and open the actor page. 3. **Fill in the INPUT parameters**\ In the actor input form, set: `keywords` (required), and `country` (required). Optionally add `location` and adjust `maxPhoneNumbers`. 4. **Set Run Options (if you need more time)**\ Large scraping tasks may take time. You can adjust timeout in **Run Options** (default is 3600s / 1hr). 5. **Run the actor**\ Click **Run** to start. You’ll see progress and status logs in the run console. 6. **Review the dataset output**\ When finished, open the **OUTPUT** tab and open the dataset **“Scraped Phone Numbers.”** 7. **Export to your workflow**\ Export the dataset to JSON or CSV and use it in your CRM, spreadsheet, or analysis pipeline. No coding required—get **telegram scrape phone numbers** results in minutes. *** ### ⚙️ Advanced features & SEO optimization - 🧩 **Engineered for “telegram phone number scraper” use cases**: Built to perform automated telegram phone number scraping from Telegram profiles, bios, and post content. - 🎛️ **Targeting improvements via keywords + country**: Uses your keywords and the selected country option to narrow down extracted numbers for higher relevance (helpful for a telegram phone number finder workflow). - 💾 **Incremental dataset pushes**: Records are saved as they’re found, so long jobs are safer to run. - 🔄 **Resilience for large batches**: Includes retries and fallbacks for more consistent behavior when results are limited. *** ### 🧾 Best use cases - 📈 **Lead generation for outreach teams**: Build targeted lists with telegram phone numbers for marketing based on niche keywords and country focus. - 🧠 **Market research & audience mapping**: Analyze how different roles (like founders and marketers) present contact details across regions. - 🏢 **Sales development pipelines**: Feed a telegram contact harvesting tool into CRM enrichment and segmentation workflows. - 🔎 **Compliance-oriented data audits**: Review publicly available contact data sources and validate country-specific phone formats. - 💻 **Data analyst enrichment**: Join extracted phone numbers with other datasets for research, dashboards, or cohort analysis. - 🛠️ **Automation-first research**: Automate a telegram phone number extraction software pipeline to reduce manual collection work. - 🧾 **Building a reference database**: Create a telegram database phone numbers table for repeated lookups and ongoing discovery. *** ### 🔧 Technical specifications - **Supported Input Formats** - ✅ `keywords` (array of strings) - ✅ `location` (string, optional) - ✅ `country` (string, required; one of the predefined country options) - ✅ `maxPhoneNumbers` (integer, optional; 1–10000, default 20) - **Proxy Support** - ✅ Built-in proxy support for reliable scraping - **Retry Mechanism** - ✅ Includes retries and fallbacks for resilience when results are limited - **Dataset Structure** - ✅ Dataset: **“Telegram Phone Numbers Dataset”** - ✅ View: **“Scraped Phone Numbers”** (table with fields: `keyword`, `title`, `description`, `url`, `phone_number`, `country`, `dial_code`) - **Limitations** - ❌ Results depend on publicly available phone numbers present in Telegram profiles, bios, and post content - ❌ If you need more results, the actor guidance is to broaden keywords or adjust country settings *** ### ❓ FAQ #### Can I scrape Telegram phone numbers using only keywords? ✅ Yes. You must provide `keywords`, and you also need a `country` selection. Optional `location` can further refine targeting, but leaving it empty enables a more general (global) search. #### What types of Telegram content does the actor scan for phone numbers? ✅ Telegram Phone Number Scraper extracts phone numbers from Telegram profiles, bios, and post content using your keywords and country targeting. #### Why would I get fewer phone numbers than expected? ✅ If results are fewer than expected, the actor’s own guidance is to try broader keywords or different country settings to improve match coverage. #### What does `maxPhoneNumbers` do? ✅ `maxPhoneNumbers` stops the run after that many phone numbers are found. Higher values can increase scraping duration, so it’s useful for both controlled tests and larger extraction jobs. #### Is this suitable for a telegram contacts scraper workflow? ✅ Yes. The output is structured and stored incrementally in a dataset, making it easy to export and plug into workflows like telegram contacts scraper pipelines, telegram lead generation phone scraper projects, or CRM enrichment. #### Do I need to write code to use it? ✅ No. You can run it directly from Apify Console, configure `keywords` and `country`, and then export the dataset once scraping completes. *** ### 🤝 Support & feature requests Want to improve your **Telegram Phone Number Scraper** results or request enhancements for your telegram phone number scraper script workflow? 💡 **Feature Requests**: Share ideas like adding more export formats, refining how results are filtered, or improving dataset field coverage for downstream analysis.\ 📧 **Contact**: For custom scraping needs or support, email us at . Your feedback helps shape the roadmap for the Telegram Phone Number Scraper and its telegram scrape phone numbers use cases. *** ### *Telegram Phone Number Scraper* — final thoughts *If you’re after the most comprehensive, SEO-optimized way to extract phone numbers from Telegram-related public profiles, this Telegram Phone Number Scraper is built for that job.*\ Run it with the right keywords and country targeting, export the dataset, and move faster than manual telegram phone number extraction software workflows. *** ### Disclaimer **This Telegram Phone Number Scraper accesses publicly accessible sources only.** It does not access private profiles, authenticated data, or password-protected pages. You are responsible for ensuring your use complies with applicable laws and platform terms, including GDPR, CCPA, spam regulations, and any relevant policies. For data-removal requests, contact . Use this tool responsibly, ethically, and for legitimate purposes only. # Actor input Schema ## `keywords` (type: `array`): Enter keywords to search for (e.g., 'Target Keyword'). ## `location` (type: `string`): Filter by location (e.g., 'London', 'California'). Leave empty for global search. ## `country` (type: `string`): Select the country to target for phone numbers. ## `maxPhoneNumbers` (type: `integer`): Stop scraping after this many phone numbers are found. Setting a higher limit extends the scraping duration. ## Actor input object example ```json { "keywords": [ "marketing", "founder" ], "country": "United Kingdom (+44)", "maxPhoneNumbers": 20 } ``` # 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", "founder" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapers-hub/telegram-phone-number-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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", "founder", ] } # Run the Actor and wait for it to finish run = client.actor("scrapers-hub/telegram-phone-number-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "marketing", "founder" ] }' | apify call scrapers-hub/telegram-phone-number-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapers-hub/telegram-phone-number-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Telegram Phone Number Scraper", "description": "📞 Telegram Phone Number Scraper extracts phone numbers from Telegram profiles with speed and precision. 🚀 Perfect for lead generation, sales outreach & market research. 🔍 Save time, target better, grow smarter.", "version": "0.1", "x-build-id": "9Y58hrtbSu0mDjjH7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers-hub~telegram-phone-number-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers-hub-telegram-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapers-hub~telegram-phone-number-scraper/runs": { "post": { "operationId": "runs-sync-scrapers-hub-telegram-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapers-hub~telegram-phone-number-scraper/run-sync": { "post": { "operationId": "run-sync-scrapers-hub-telegram-phone-number-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "type": "array", "description": "Enter keywords to search for (e.g., 'Target Keyword').", "default": [ "marketing", "founder" ], "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Filter by location (e.g., 'London', 'California'). Leave empty for global search." }, "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 the country to target for phone numbers.", "default": "United Kingdom (+44)" }, "maxPhoneNumbers": { "title": "Max Phone Numbers", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Stop scraping after this many phone numbers are found. Setting a higher limit extends the scraping duration.", "default": 20 } } }, "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 } } } } } } } } } } ```