# Best Twitter Email Scraper (`scraper-mind/best-twitter-email-scraper`) Actor \[๐—•๐Ÿฎ๐—• ๐—˜๐— ๐—”๐—œ๐—Ÿ ๐—”๐—ฉ๐—”๐—œ๐—Ÿ๐—”๐—•๐—Ÿ๐—˜] Unlock verified emails from Twitter (X) in seconds โšก Perfect for lead generation, outreach, and influencer targeting. The Twitter Email Scraper finds B2B/B2C contacts by keyword, country, and profile type; fast, accurate, and cost-effective. ๐Ÿš€ - **URL**: https://apify.com/scraper-mind/best-twitter-email-scraper.md - **Developed by:** [Scraper Mind](https://apify.com/scraper-mind) (community) - **Categories:** Lead generation, Social media - **Stats:** 27 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $19.99/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ### โญ Twitter Email Scraper โ€” The Ultimate Tool for Extracting Verified Emails from X (Twitter) The **Twitter Email Scraper** (also known as an **X email scraper**) is a powerful lead-generation tool designed to extract **real, publicly available emails** from X (Twitter) based on specific **keywords**, **country filters**, and **content types**. Whether you're searching for **founders**, **influencers**, **business owners**, or **consumers**, this scraper helps you uncover validated **Twitter emails** within minutes. Itโ€™s perfect for marketers, agencies, recruiters, and sales teams who want to build targeted **Twitter lead lists** quickly and cost-effectively. With its smart crawling engine, the scraper scans profiles and posts to identify relevant contacts, improving your **outreach efficiency**, **SEO targeting**, and **audience research**. This tool turns X (Twitter) into a **rich, searchable database** of leads โ€” all with minimal effort. ๐Ÿš€ --- ### ๐Ÿ“ฅ What Twitter Email can I extract? Here are the types of **Twitter leads** and data you can extract using the **Twitter Email Scraper**: | Data Type | Description | | ------------------- | ------------------------------------------------------------ | | **Email** | Extracts publicly visible emails from posts and bios | | **Email Domain** | Identifies whether the email is B2C or B2B | | **Title** | Title of the X/Twitter post or profile | | **Description** | Snippets from posts/bios containing contact info | | **URL** | Direct link to the profile or tweet | | **Keyword Matched** | The keyword that triggered the result | | **Country** | Country targeted in search | | **Scrape From** | Indicates whether email was found in Status, Profile, or All | This ensures clean, structured, and actionable **Twitter lead data** for outreach, research, and marketing. --- ### ๐Ÿงฉ Input Parameters #### JSON Example ```json { "keywords": ["founder"], "maxEmails": 20, "country": "United States", "scrapeFrom": "All", "emailType": "B2C", "engine": "cost-effective" } ```` #### Input Table | Parameter | Type | Description | | -------------- | ------- | ----------------------------------- | | **keywords** | Array | Keywords to search on Twitter | | **country** | String | Country to focus on | | **scrapeFrom** | String | Choose All, Status, or Profile | | **emailType** | String | B2C or B2B | | **engine** | String | cost-effective or legacy | | **maxEmails** | Integer | Maximum number of emails to extract | *** ### ๐Ÿ“ค Output Format #### JSON Example ```json [ { "keyword": "founder", "title": "Utpal Ghosh (@utpalghosh30) / Posts ...", "url": "https://x.com/utpalghosh30", "description": "Dreamer & Entrepreneur...", "email": "utpalghoshofficial@gmail.com", "email_domain": "gmail.com", "email_type": "B2C" } ] ``` #### Output Table | Field | Description | | ---------------- | ------------------------------------ | | **keyword** | Keyword that matched the result | | **title** | Title of the profile or post | | **url** | Twitter/X link | | **description** | Snippet containing email | | **email** | Extracted email | | **email\_domain** | Domain of the email | | **email\_type** | B2B or B2C | | **scrape\_from** | Source type (All / Status / Profile) | | **country** | Target country | *** ### ๐Ÿ”‘ Key Features of Twitter Email Scraper โญ - ๐Ÿš€ **Smart Keyword Targeting** โ€” Enter keywords like โ€œfounder,โ€ โ€œfitness,โ€ or โ€œinvestor,โ€ and instantly uncover relevant **Twitter leads**. - ๐ŸŒ **Country Targeting** โ€” Focus your scraping on specific regions for more accurate lead generation. - ๐Ÿ“Œ **Scrape From All, Profiles, or Statuses** โ€” Control where your **Twitter contact scraper** looks for emails. - ๐Ÿ“ง **B2B or B2C Email Filtering** โ€” Extract business emails or consumer emails depending on your outreach goals. - โšก **Cost-Effective Engine** โ€” Faster, cheaper, and built for large-scale scraping using async + residential proxy technology. - ๐Ÿ› ๏ธ **Legacy Engine Available** โ€” A more robust option for users who prefer reliability over speed. - ๐Ÿ”ข **Max Email Limit Control** โ€” Set limits from 1 to 10,000 to control performance and workload. - ๐Ÿ“Š **Structured Output** โ€” Clean JSON results perfect for automation, CRMs, and marketing tools. - ๐Ÿ”’ **Safe & Compliant** โ€” Collects only publicly available information. This combination makes the tool a powerful, efficient **Twitter lead scraper** ready for marketers, recruiters, agencies, and researchers. *** ### ๐Ÿงฉ How to use Twitter Email Scraper (Step-by-Step Guide) ๐Ÿ“ 1๏ธโƒฃ **Log in to Apify** Create a free account or sign in. 2๏ธโƒฃ **Select the Actor** Search for **โ€œTwitter Email Scraperโ€** in the Apify Store. 3๏ธโƒฃ **Enter Input Data** Paste your *keyword(s)* such as **โ€œfounder,โ€ โ€œcreator,โ€ โ€œcoachโ€** into the **keywords** field. 4๏ธโƒฃ **Choose Country** Select the target country โ€” e.g., **United States** โ€” to refine your search results. 5๏ธโƒฃ **Pick Scraping Source** Choose **All**, **Status**, or **Profile** for deeper or more focused scraping. 6๏ธโƒฃ **Set Email Type** Choose **B2C** or **B2B** depending on your target audience. 7๏ธโƒฃ **Select Engine** Choose **cost-effective** (faster & cheaper) or **legacy** (more stable). 8๏ธโƒฃ **Run the Actor** Hit **Start** โ€” the scraper will automatically gather **Twitter emails**. 9๏ธโƒฃ **Download Results** Export the data in JSON/CSV and import it into your CRM or workflow. *** ### ๐ŸŽฏ Use Cases The **Twitter Email Scraper** unlocks powerful real-world applications: - ๐Ÿ“ˆ **Lead Generation & Sales Outreach** โ€” Find founders, creators, coaches, consultants, influencers, and potential clients based on keywords. - ๐Ÿง‘โ€๐Ÿ’ผ **Recruiting & Talent Scouting** โ€” Identify professionals posting about specific skills or industries. - ๐Ÿ” **Market Research** โ€” Analyze conversations, bios, and content to understand audience intent. - ๐Ÿ“ฃ **Influencer Marketing** โ€” Extract emails from influencers discussing niches like fitness, finance, travel, gaming, and more. - ๐Ÿงช **Academic & Social Research** โ€” Gather public data for trend analysis and sentiment evaluation. - ๐ŸŽจ **Brand Prospecting** โ€” Target users mentioning needs related to design, SaaS, marketing, or product development. Whatever your use case, this **Twitter lead scraper** helps you gather accurate, high-intent contact data effortlessly. *** ### ๐Ÿ’Ž Why choose us? - ๐ŸŒ **Advanced Keyword Intelligence** โ€” Designed for precision targeting across industries and niches. - โš™๏ธ **Two Powerful Engines** โ€” Choose between high-speed cost-effective scraping or reliable legacy mode. - โšก **Fast, Scalable & Lightweight** โ€” Built for performance, capable of handling high-volume jobs. - ๐Ÿ”’ **Privacy-Friendly** โ€” Scraper only collects publicly available emails. - ๐Ÿง  **Optimized for Real Results** โ€” Removes noise and extracts only meaningful, actionable data. - ๐Ÿ“ž **Dedicated Support** โ€” Contact us anytime at . - ๐Ÿค **Trusted by Agencies & Startups** โ€” Perfect for teams who need large-scale **Twitter lead generation**. *** ### ๐Ÿ“Š How many results can you scrape with Twitter Email Scraper? The scraper can collect anywhere from **1 to 10,000+ Twitter emails**, depending on: - Your **keyword choice** - The **selected country** - The **email type (B2B/B2C)** - Whether you scrape from **All**, **Profiles**, or **Statuses** - The **engine used** The **cost-effective engine** delivers higher throughput at a lower price, making it ideal for bulk scraping. Meanwhile, the **legacy engine** offers greater consistency for long, detailed searches. You may not always get the maximum number you set (e.g., 10,000), because it depends on how many users publicly share emails in that niche โ€” but broader keywords such as โ€œfounder,โ€ โ€œagency,โ€ โ€œfitness,โ€ or โ€œentrepreneurโ€ often result in **hundreds or thousands** of emails. For extremely large batches, increasing the **timeout** in Apify (default: 3600 seconds) helps ensure full extraction. *** ### โš–๏ธ Is it legal to scrape Twitter (X)? The **Twitter Email Scraper** only extracts **publicly available information**, meaning it does not bypass login walls or access private data. Generally, scraping publicly accessible data *can be legal*, but it depends on: - Your country's laws - Twitter's terms of service - How you use the data Always: - Use scraped data responsibly - Obtain consent for marketing - Follow GDPR, CAN-SPAM, and local privacy guidelines The scraper simply automates what a user could view manually โ€” you are responsible for using the data ethically and lawfully. *** ## Related Scrapers Check out these other scrapers that make it easy to collect emails, phone numbers, and content from popular platforms. - [Best LinkedIn Email Scraper](https://console.apify.com/actors/UO6op1saiCrlaeMEK/) - [Best Instagram Email Scraper](https://console.apify.com/actors/4bYhKqb1HakSE4nbL/) - [Best TikTok Email Scraper](https://console.apify.com/actors/HeNp9ZCxCBlPmmunu/) - [Best Amazon Email Scraper](https://console.apify.com/actors/jFoISKCE2ok0jIf05/) - [Best YouTube Email Scraper](https://console.apify.com/actors/q17EHOm8wTqQAAMyN/) - [Best Crunchbase Email Scraper](https://console.apify.com/actors/U7Ym7iG6ShP8wVbNY/) - [Best Etsy Email Scraper](https://console.apify.com/actors/YZv6xVnTSvYtzBhau/) - [Best Zillow Email Scraper](https://console.apify.com/actors/vS5OGfUhguSVcm2L2/) - [Best Facebook Email Scraper](https://console.apify.com/actors/xt9dRXomhQkoDhQGp/) ### โ“ FAQ **1. Does the Twitter Email Scraper work without login?** Yes, it extracts only public data. **2. Can it extract B2B emails?** Yes โ€” choose **emailType: B2B**. **3. What is the best engine to use?** **Cost-effective** for speed & scale, **legacy** for reliability. **4. Can I scrape multiple keywords at once?** Yes, add as many as you want. **5. Does it scrape private accounts?** No โ€” only publicly visible profiles and posts. **6. How many emails can I get?** Anywhere from 1 to 10,000+, depending on niche & settings. **7. Does it work for all countries?** Yes โ€” select any country from the dropdown. **8. Can I export results to CSV?** Absolutely โ€” Apify supports CSV, JSON, Excel, and API access. # Actor input Schema ## `keywords` (type: `array`): Enter one or more keywords to search for on X (Twitter). ## `country` (type: `string`): Specify the country to target for Google search results. ## `scrapeFrom` (type: `string`): Choose one option โ€” All, Status, or Profile. ## `emailType` (type: `string`): Choose one โ€” B2C or B2B. ## `engine` (type: `string`): Choose scraping engine. ๐Ÿš€ Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. ๐Ÿ”ง Legacy: Uses GOOGLE\_SERP proxy with traditional selectors - more reliable but slower and more expensive. ## `maxEmails` (type: `integer`): Enter the maximum number of emails to collect. ## Actor input object example ```json { "keywords": [ "fitness", "gym", "workout" ], "country": "United States", "scrapeFrom": "All", "emailType": "B2C", "engine": "legacy", "maxEmails": 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": [ "fitness", "gym", "workout" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scraper-mind/best-twitter-email-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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": [ "fitness", "gym", "workout", ] } # Run the Actor and wait for it to finish run = client.actor("scraper-mind/best-twitter-email-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "keywords": [ "fitness", "gym", "workout" ] }' | apify call scraper-mind/best-twitter-email-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraper-mind/best-twitter-email-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Best Twitter Email Scraper", "description": "[๐—•๐Ÿฎ๐—• ๐—˜๐— ๐—”๐—œ๐—Ÿ ๐—”๐—ฉ๐—”๐—œ๐—Ÿ๐—”๐—•๐—Ÿ๐—˜] Unlock verified emails from Twitter (X) in seconds โšก Perfect for lead generation, outreach, and influencer targeting. The Twitter Email Scraper finds B2B/B2C contacts by keyword, country, and profile type; fast, accurate, and cost-effective. ๐Ÿš€", "version": "1.0", "x-build-id": "rGfN8euKovWnjk3S9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraper-mind~best-twitter-email-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraper-mind-best-twitter-email-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraper-mind~best-twitter-email-scraper/runs": { "post": { "operationId": "runs-sync-scraper-mind-best-twitter-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraper-mind~best-twitter-email-scraper/run-sync": { "post": { "operationId": "run-sync-scraper-mind-best-twitter-email-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "scrapeFrom", "emailType", "maxEmails" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "Enter one or more keywords to search for on X (Twitter).", "items": { "type": "string" } }, "country": { "title": "Country", "enum": [ "United States", "United Kingdom", "Canada", "Australia", "Germany", "France", "India", "Japan", "Brazil", "Italy", "Spain", "Netherlands", "Sweden", "Norway", "Denmark", "Finland", "Poland", "Czech Republic", "Hungary", "Romania", "Bulgaria", "Croatia", "Slovenia", "Slovakia", "Estonia", "Latvia", "Lithuania", "Portugal", "Greece", "Cyprus", "Malta", "Luxembourg", "Ireland", "Belgium", "Austria", "Switzerland", "Liechtenstein", "Iceland", "South Korea", "China", "Mexico", "Argentina", "Chile", "Colombia", "Peru", "Venezuela", "Ecuador", "Uruguay", "Paraguay", "Bolivia", "Guyana", "Suriname", "French Guiana", "Falkland Islands (Malvinas)", "South Georgia and the South Sandwich Islands", "Bonaire, Sint Eustatius and Saba", "Curaรงao", "Aruba", "Sint Maarten (Dutch part)", "Turks and Caicos Islands", "British Virgin Islands", "Anguilla", "Montserrat", "Antigua and Barbuda", "Barbados", "Dominica", "Grenada", "Saint Kitts and Nevis", "Saint Lucia", "Saint Vincent and the Grenadines", "Trinidad and Tobago", "Jamaica", "Bahamas", "Belize", "Costa Rica", "Guatemala", "Honduras", "Nicaragua", "Panama", "El Salvador", "Cuba", "Dominican Republic", "Haiti", "Puerto Rico", "U.S. Virgin Islands", "American Samoa", "Guam", "Northern Mariana Islands", "Saudi Arabia", "United Arab Emirates", "Bahrain", "Iraq", "Iran, Islamic Republic of", "Israel", "Jordan", "Kuwait", "Lebanon", "Oman", "Qatar", "Syrian Arab Republic", "Yemen", "Afghanistan", "Bangladesh", "Bhutan", "Maldives", "Nepal", "Pakistan", "Sri Lanka", "Myanmar", "Cambodia", "Lao People's Democratic Republic", "Thailand", "Viet Nam", "Malaysia", "Singapore", "Brunei Darussalam", "Philippines", "Indonesia", "Timor-Leste", "Papua New Guinea", "Fiji", "New Zealand", "Solomon Islands", "Vanuatu", "New Caledonia", "French Polynesia", "Wallis and Futuna", "Samoa", "Tonga", "Tuvalu", "Kiribati", "Nauru", "Federated States of Micronesia", "Marshall Islands", "Palau", "Cook Islands", "Niue", "Tokelau" ], "type": "string", "description": "Specify the country to target for Google search results.", "default": "United States" }, "scrapeFrom": { "title": "Scrape From", "enum": [ "All", "Status", "Profile" ], "type": "string", "description": "Choose one option โ€” All, Status, or Profile.", "default": "All" }, "emailType": { "title": "Email Type", "enum": [ "B2C", "B2B" ], "type": "string", "description": "Choose one โ€” B2C or B2B.", "default": "B2C" }, "engine": { "title": "Engine", "enum": [ "cost-effective", "legacy" ], "type": "string", "description": "Choose scraping engine. ๐Ÿš€ Cost Effective (New): Uses residential proxies with async requests for faster, cheaper scraping. ๐Ÿ”ง Legacy: Uses GOOGLE_SERP proxy with traditional selectors - more reliable but slower and more expensive.", "default": "legacy" }, "maxEmails": { "title": "Max Emails", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Enter the maximum number of emails to collect.", "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 } } } } } } } } } } ```