# Twitter/X Crypto & Stock Sentiment Scraper (`fastcrawler/twitter-x-crypto-stock-sentiment-scraper`) Actor Twitter/X scraper for real-time stock & crypto sentiment analysis. Track $cashtags, extract bullish/bearish indicators, and monitor market trends instantly. Reliable API for quants, day traders, and researchers to export structured social media data (JSON/CSV). - **URL**: https://apify.com/fastcrawler/twitter-x-crypto-stock-sentiment-scraper.md - **Developed by:** [fastcrawler](https://apify.com/fastcrawler) (community) - **Categories:** Social media - **Stats:** 156 total users, 2 monthly users, 100.0% runs succeeded, 20 bookmarks - **User rating**: 3.78 out of 5 stars ## Pricing $25.99/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 ### Twitter Cashtag Scraper: Stock & Crypto & Sentiment Analysis Unlock Market Sentiment with the Twitter Cashtag Scraper! Get 1,000 results for just $0.01! This powerful tool not only scrapes Twitter for stock and crypto cashtags, but it also analyzes the sentiment of the tweets, giving you crucial insights into market opinions. Track symbols with lightning-fast speed and gain a deeper understanding of the bullish or bearish sentiment driving market trends with precise data extraction and sentiment analysis. Boost your data collection strategy today with Twitter Cashtag Scraper. ### Contact and Feature Requests - If you need customized features or have specific requirements - support for second-level tweet monitoring - Real-time username change monitoring [realtime monitor](https://twexapi.io/) - real-time follow activity monitoring, feel free to contact me - If you need any sort of support, please send an email to fastcrawler9@gmail.com | [tg](https://t.me/+MUMR3PKOoVVjNzE9) | [discord](https://discord.gg/s4jyupzaWu) ### 💡 Related scrapers [Twitter Comment Scraper:](https://apify.com/fastcrawler/twitter-x-reply-comment-scraper-support-sentiment-tone-analyzer) | [Twitter Hashtag Scraper: Support Sentiment & Tone Analyzer ](https://apify.com/fastcrawler/twitter-hashtag-scraper-support-sentiment-tone-analyzer-2025) | [stock-crypto-kol-tracker-discover-top-twitter-influencers](https://apify.com/fastcrawler/stock-crypto-kol-tracker-discover-top-twitter-influencers) | [Other useful scrapers](https://apify.com/fastcrawler) ### Cost ![Cashtag Cost](https://1-usd-promotion.com/_next/image?url=%2Fimages%2FcashtagCost.webp&w=828&q=75) ### Input Parameters | Field | Type | Description | |----|----------|---------------| | Cashtag | string | a cashtag,like $pepe | | Start Time | string | Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC),Returns tweets sent after the given date. | | End Time | string | Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC),Returns tweets sent before the given date. | | Sort By | string | Sorts search results by the given option. | | Maximum number of items on output | int | Maximum number of items that you want as output. | | Minimum retweets | int | Returns tweets with at least the given number of retweets. | | Minimum Likes | int | Returns tweets with at least the given number of Likes. | | Minimum Replies | int | Returns tweets with at least the given number of replies. | | sentimentAnalysis | boolean | Sentiment analysis of tweets will be done if checked，but it will also take longer. [BULLISH, BEARISH, or NEUTRAL]| | Only verified users | boolean | If checked then returns tweets by users who are verified. | | Only Twitter Blue | boolean | If checked then returns tweets by users who are Twitter Blue subscribers. | | lang | string | lang , eg： en | ### Output Example { "type": "tweet", "id": "1728108619189874825", "url": "https://x.com/elonmusk/status/1728108619189874825", "twitterUrl": "https://twitter.com/elonmusk/status/1728108619189874825", "text": "More than 10 per human on average", "sentiment": "\nBULLISH\n", "retweetCount": 11311, "replyCount": 6526, "likeCount": 104121, "quoteCount": 2915, "viewCount": 291500, "createdAt": "Fri Nov 24 17:49:36 +0000 2023", "lang": "en", "quoteId": "1728107610631729415", "bookmarkCount": 702, "isReply": false, "card": {}, "place": {}, "source:": "Twitter for Android", "author": { "type": "user", "userName": "elonmusk", "url": "https://x.com/elonmusk", "twitterUrl": "https://twitter.com/elonmusk", "id": "44196397", "name": "Elon Musk", "isVerified": true, "isBlueVerified": true, "verifiedType": "business", "hasNftAvatar": false, "profilePicture": "https://pbs.twimg.com/profile_images/1683325380441128960/yRsRRjGO_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/44196397/1690621312", "description": "", "location": "", "followers": 172669889, "following": 538, "protected": false, "status": "", "canDm": false, "canMediaTag": false, "advertiserAccountType": "promotable_user", "analyticsType": "enabled", "createdAt": "Tue Jun 02 20:12:29 +0000 2009", "entities": { "description": { "hashtags": [], "symbols": [], "urls": [], "user_mentions": [] } }, "fastFollowersCount": 0, "favouritesCount": 42455, "geoEnabled": false, "hasCustomTimelines": true, "hasExtendedProfile": true, "isTranslator": false, "mediaCount": 2002, "profileBackgroundColor": "C0DEED", "statusesCount": 37933, "translatorTypeEnum": "None", "withheldInCountries": [], "affiliatesHighlightedLabel": { "label": { "url": { "urlType": "DeepLink", "url": "https://twitter.com/X" }, "badge": { "url": "https://pbs.twimg.com/profile_images/1683899100922511378/5lY42eHs_bigger.jpg" }, "userLabelType": "BusinessLabel", "userLabelDisplayType": "Badge", "description": "X" } } }, "extendedEntities": {}, "isRetweet": false, "isQuote": true, "quote": { "type": "tweet", "id": "1728107610631729415", "text": "The posts on 𝕏 gets ~ 100 billion impressions every day.\n\n https://t.co/AuF1KStCFf", "retweetCount": 646, "replyCount": 789, "likeCount": 3983, "quoteCount": 2493, "createdAt": "Fri Nov 24 17:45:35 +0000 2023", "lang": "en", "bookmarkCount": 127, "author": { "type": "user", "userName": "cb_doge", "url": "https://x.com/cb_doge", "twitterUrl": "https://twitter.com/cb_doge", "id": "1389913567671975937", "name": "DogeDesigner", "isVerified": true, "isBlueVerified": true, "verifiedType": "business", "hasNftAvatar": false, "profilePicture": "https://pbs.twimg.com/profile_images/1498070100393754625/C2V-fbll_normal.jpg", "coverPicture": "https://pbs.twimg.com/profile_banners/1389913567671975937/1707664307", "description": "UX/UI & Graphic Designer at Dogecoin & MyDoge Inc./ 𝕏 Creator", "location": "Dogecoin.com", "followers": 441904, "following": 867, "protected": false, "status": "", "canDm": true, "canMediaTag": false, "advertiserAccountType": "promotable_user", "analyticsType": "disabled", "createdAt": "Wed May 05 12:03:43 +0000 2021", "entities": { "url": { "urls": [ { "display_url": "MyDoge.com", "expanded_url": "http://MyDoge.com", "indices": [ 0, 23 ], "url": "https://t.co/E0fsFaNdeI" } ] }, "description": { "hashtags": [], "symbols": [], "urls": [], "user_mentions": [] } }, "fastFollowersCount": 0, "favouritesCount": 70660, "geoEnabled": true, "hasCustomTimelines": true, "hasExtendedProfile": true, "isTranslator": false, "mediaCount": 10987, "profileBackgroundColor": "F5F8FA", "statusesCount": 24918, "translatorTypeEnum": "None", "withheldInCountries": [], "affiliatesHighlightedLabel": { "label": { "url": { "urlType": "DeepLink", "url": "https://twitter.com/MyDogeOfficial" }, "badge": { "url": "https://pbs.twimg.com/profile_images/1656530956801523719/SC7nEKMa_bigger.png" }, "userLabelType": "BusinessLabel", "userLabelDisplayType": "Badge", "description": "MyDoge Wallet" } } }, "extendedEntities": { "media": [ { "additional_media_info": { "monetizable": false, "graphql_source_user": { "user": { "legacy": { "id_str": "1389913567671975937", "screen_name": "cb_doge", "name": "DogeDesigner", "profile_image_url_https": "https://pbs.twimg.com/profile_images/1498070100393754625/C2V-fbll_normal.jpg", "verified": false, "protected": false, "can_dm": true, "can_media_tag": false } } } }, "display_url": "pic.twitter.com/AuF1KStCFf", "expanded_url": "https://twitter.com/cb_doge/status/1727821969343533149/video/1", "ext_media_availability": { "status": "Available" }, "id_str": "1727821919171313664", "indices": [ 59, 82 ], "media_key": "13_1727821919171313664", "media_url_https": "https://pbs.twimg.com/amplify_video_thumb/1727821919171313664/img/t2oLSNoW4igyatu6.jpg", "original_info": { "width": 1920, "height": 1080, "focus_rects": [] }, "sizes": { "large": { "w": 1920, "h": 1080 } }, "source_status_id_str": "1727821969343533149", "source_user_id_str": "1389913567671975937", "type": "video", "url": "https://t.co/AuF1KStCFf", "video_info": { "aspect_ratio": [ 16, 9 ], "duration_millis": 3566, "variants": [ { "url": "https://video.twimg.com/amplify_video/1727821919171313664/pl/aGHTtMOSK_JQx9Q1.m3u8?tag=14&container=cmaf", "content_type": "application/x-mpegURL" }, { "url": "https://video.twimg.com/amplify_video/1727821919171313664/vid/avc1/480x270/EkwZuvHPaMbH7O1a.mp4?tag=14", "content_type": "video/mp4", "bitrate": 288000 }, { "url": "https://video.twimg.com/amplify_video/1727821919171313664/vid/avc1/640x360/0XXJiF8kImc0SNUN.mp4?tag=14", "content_type": "video/mp4", "bitrate": 832000 }, { "url": "https://video.twimg.com/amplify_video/1727821919171313664/vid/avc1/1280x720/VvbDj9laYWdX1dfX.mp4?tag=14", "content_type": "video/mp4", "bitrate": 2176000 } ] }, "allow_download_status": { "allow_download": true } } ] } }, "media": [] } ### Contact and Feature Requests If you need any sort of support, please send an email to fastcrawler9@gmail.com | [tg](https://t.me/FastScraperCustomerBot) | [discord](https://discord.gg/VCAeHqky) # Actor input Schema ## `cashtag` (type: `string`): A cashtag ,like $pepe ## `sentimentAnalysis` (type: `boolean`): Sentiment(BULLISH, BEARISH, or NEUTRAL) analysis of tweets will be done if checked，but it will also take longer. ## `startTime` (type: `string`): Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC，2024-10-20_23:59:59_UTC),Returns tweets sent after the given date. ## `endTime` (type: `string`): Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC，2024-10-20_23:59:59_UTC),Returns tweets sent before the given date. ## `lang` (type: `string`): lang ## `sortBy` (type: `string`): Sorts search results by the given option. ## `maxItems` (type: `integer`): Maximum number of items that you want as output. ## `minRetweets` (type: `integer`): Returns tweets with at least the given number of retweets. ## `minLikes` (type: `integer`): Returns tweets with at least the given number of Likes. ## `minReplies` (type: `integer`): Returns tweets with at least the given number of replies. ## `onlyVerifiedUsers` (type: `boolean`): If checked then returns tweets by users who are verified. ## `onlyBuleVerifiedUsers` (type: `boolean`): If checked then returns tweets by users who are Twitter Blue subscribers. ## Actor input object example ```json { "cashtag": "pepe", "sortBy": "Latest", "maxItems": 10, "minRetweets": 0, "minLikes": 0, "minReplies": 0 } ```` # 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 = { "cashtag": "pepe", "sentimentAnalysis": false, "sortBy": "Latest", "onlyVerifiedUsers": false, "onlyBuleVerifiedUsers": false }; // Run the Actor and wait for it to finish const run = await client.actor("fastcrawler/twitter-x-crypto-stock-sentiment-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 = { "cashtag": "pepe", "sentimentAnalysis": False, "sortBy": "Latest", "onlyVerifiedUsers": False, "onlyBuleVerifiedUsers": False, } # Run the Actor and wait for it to finish run = client.actor("fastcrawler/twitter-x-crypto-stock-sentiment-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 '{ "cashtag": "pepe", "sentimentAnalysis": false, "sortBy": "Latest", "onlyVerifiedUsers": false, "onlyBuleVerifiedUsers": false }' | apify call fastcrawler/twitter-x-crypto-stock-sentiment-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fastcrawler/twitter-x-crypto-stock-sentiment-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter/X Crypto & Stock Sentiment Scraper", "description": "Twitter/X scraper for real-time stock & crypto sentiment analysis. Track $cashtags, extract bullish/bearish indicators, and monitor market trends instantly. Reliable API for quants, day traders, and researchers to export structured social media data (JSON/CSV).", "version": "0.0", "x-build-id": "iKTXSiWBgDe0hw6bM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fastcrawler~twitter-x-crypto-stock-sentiment-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fastcrawler-twitter-x-crypto-stock-sentiment-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/fastcrawler~twitter-x-crypto-stock-sentiment-scraper/runs": { "post": { "operationId": "runs-sync-fastcrawler-twitter-x-crypto-stock-sentiment-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/fastcrawler~twitter-x-crypto-stock-sentiment-scraper/run-sync": { "post": { "operationId": "run-sync-fastcrawler-twitter-x-crypto-stock-sentiment-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": [ "cashtag" ], "properties": { "cashtag": { "title": "Cashtag", "type": "string", "description": "A cashtag ,like $pepe " }, "sentimentAnalysis": { "title": "sentiment analysis", "type": "boolean", "description": "Sentiment(BULLISH, BEARISH, or NEUTRAL) analysis of tweets will be done if checked，but it will also take longer. " }, "startTime": { "title": "Start Time", "type": "string", "description": "Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC，2024-10-20_23:59:59_UTC),Returns tweets sent after the given date." }, "endTime": { "title": "End Time", "type": "string", "description": "Specify the datetime (yyyy-MM-dd_HH:mm:ss_UTC，2024-10-20_23:59:59_UTC),Returns tweets sent before the given date." }, "lang": { "title": "lang", "enum": [ "am", "ar", "bg", "bn", "bo", "ca", "ch", "cs", "da", "de", "dv", "el", "en", "es", "et", "fa", "fi", "fr", "gu", "hi", "ht", "hu", "hy", "in", "is", "it", "iu", "iw", "ja", "ka", "km", "kn", "ko", "lo", "lt", "lv", "ml", "my", "ne", "nl", "no", "or", "pa", "pl", "pt", "ro", "ru", "si", "sk", "sl", "sv", "ta", "te", "th", "tl", "tr", "uk", "ur", "vi", "zh" ], "type": "string", "description": "lang" }, "sortBy": { "title": "Sort By", "enum": [ "Top", "Latest" ], "type": "string", "description": "Sorts search results by the given option. ", "default": "Latest" }, "maxItems": { "title": "Maximum number of items on output", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of items that you want as output.", "default": 10 }, "minRetweets": { "title": "Minimum retweets", "minimum": 0, "maximum": 10000000, "type": "integer", "description": "Returns tweets with at least the given number of retweets.", "default": 0 }, "minLikes": { "title": "Minimum Likes", "minimum": 0, "maximum": 10000000, "type": "integer", "description": "Returns tweets with at least the given number of Likes.", "default": 0 }, "minReplies": { "title": "Minimum Replies", "minimum": 0, "maximum": 10000000, "type": "integer", "description": "Returns tweets with at least the given number of replies.", "default": 0 }, "onlyVerifiedUsers": { "title": "Only verified users", "type": "boolean", "description": "If checked then returns tweets by users who are verified." }, "onlyBuleVerifiedUsers": { "title": "Only Twitter Blue", "type": "boolean", "description": "If checked then returns tweets by users who are Twitter Blue subscribers." } } }, "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 } } } } } } } } } } ```