# Twitter User Profile Fast\&Cheapest Scraper 2026 (`fastcrawler/twitter-user-profile-fast-cheapest-scraper-2026`) Actor 1000 results only cost $0.01. , this scraper allowing you to gather valuable data on any Twitter user in seconds. With Twitter User Fast Scraper, you can streamline your data collection process and obtain specific details about user profiles, including follower counts, bio descriptions. - **URL**: https://apify.com/fastcrawler/twitter-user-profile-fast-cheapest-scraper-2026.md - **Developed by:** [fastcrawler](https://apify.com/fastcrawler) (community) - **Categories:** Social media, News - **Stats:** 253 total users, 5 monthly users, 100.0% runs succeeded, 8 bookmarks - **User rating**: 2.45 out of 5 stars ## Pricing $35.00/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 User Fast Scraper: The Ultimate Twitter User Extraction Tool Introducing Twitter User Fast Scraper, the ultimate tool for extracting detailed Twitter user information effortlessly! Available now, this tool is built for speed and accuracy, allowing you to gather valuable data on any Twitter user in seconds. With Twitter User Fast Scraper, you can streamline your data collection process and obtain specific details about user profiles, including follower counts, bio descriptions, and tweet activity. ### Contact and Feature Requests - If you need customized features or have specific requirements - support for second-level tweet monitoring - Real-time username change monitoring - 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 - **[Free Twitter API](https://twexapi.io) ｜ [Track X Influencers Tweets in Real-time](https://xmonitor.online)** [Twitter comments scraper](https://apify.com/fastcrawler/twitter-tweet-reply-comment-fast-cheapest-scraper-2025) | [Twitter Cashtag Scraper:](https://apify.com/fastcrawler/twitter-cashtag-scraper-stock-crypto-sentiment-analysis) | [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 ![Twitter User Cost](https://1-usd-promotion.com/_next/image?url=%2Fimages%2FtwitterUserCost.webp&w=828&q=75) ### Input Parameters | Field | Type | Description | |----|----------|---------------| | queryUser | array | The user information you want to query，eg: https://x.com/elonmusk ,or you can input elonmusk | ### Output Example ```` { "userId": "1845816542375682049", "isBlueVerified": true, "createdAt": "Mon Oct 14 13:19:17 +0000 2024", "createdAtDatetime": "2024-10-14 13:19:17+00:00", "defaultProfile": true, "defaultProfileImage": false, "description": "Wall Street Pepe is assembling his frog army. $WEPE 🐸⚔️📈 Buy and track your tokens in Best Wallet: https://t.co/JKufwEZXiM", "location": "", "fastFollowersCount": 0, "favouritesCount": 22, "followersCount": 46175, "hasCustomTimelines": false, "isTranslator": false, "listedCount": 50, "mediaCount": 81, "name": "Wall Street Pepe", "normalFollowersCount": 46175, "pinnedTweetIdsStr": \[ "1863905080426058015" ], "possiblySensitive": false, "profileImageUrlHttps": "https://pbs.twimg.com/profile\_images/1846207382621188096/6Dqhjd7v\_normal.png", "username": "WEPEToken", "statusesCount": 97, "translatorType": "none", "verified": false, "withheldInCountries": \[], "protected": false, "url": "https://t.co/4mmIhUXOeF", "descriptionUrls": \[ { "display\_url": "best.sng.link/Dnio2/4n3h?\_sm…", "expanded\_url": "https://best.sng.link/Dnio2/4n3h?\_smtype=3", "url": "https://t.co/JKufwEZXiM", "indices": \[ 100, 123 ] } ], "urls": \[ { "display\_url": "wallstreetpepe.com", "expanded\_url": "http://wallstreetpepe.com", "url": "https://t.co/4mmIhUXOeF", "indices": \[ 0, 23 ] } ], "pinnedTweetIds": \[ "1863905080426058015" ] } ```` # Actor input Schema ## `queryUser` (type: `array`): The user information you want to query，eg: https://x.com/elonmusk ,or you can input elonmusk ## Actor input object example ```json { "queryUser": [ "elonmusk" ] } ```` # 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 = { "queryUser": [ "elonmusk" ] }; // Run the Actor and wait for it to finish const run = await client.actor("fastcrawler/twitter-user-profile-fast-cheapest-scraper-2026").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 = { "queryUser": ["elonmusk"] } # Run the Actor and wait for it to finish run = client.actor("fastcrawler/twitter-user-profile-fast-cheapest-scraper-2026").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 '{ "queryUser": [ "elonmusk" ] }' | apify call fastcrawler/twitter-user-profile-fast-cheapest-scraper-2026 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fastcrawler/twitter-user-profile-fast-cheapest-scraper-2026", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter User Profile Fast&Cheapest Scraper 2026", "description": "1000 results only cost $0.01. , this scraper allowing you to gather valuable data on any Twitter user in seconds. With Twitter User Fast Scraper, you can streamline your data collection process and obtain specific details about user profiles, including follower counts, bio descriptions.", "version": "0.0", "x-build-id": "AFm2iy6jqId97rACy" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fastcrawler~twitter-user-profile-fast-cheapest-scraper-2026/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fastcrawler-twitter-user-profile-fast-cheapest-scraper-2026", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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-user-profile-fast-cheapest-scraper-2026/runs": { "post": { "operationId": "runs-sync-fastcrawler-twitter-user-profile-fast-cheapest-scraper-2026", "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-user-profile-fast-cheapest-scraper-2026/run-sync": { "post": { "operationId": "run-sync-fastcrawler-twitter-user-profile-fast-cheapest-scraper-2026", "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": [ "queryUser" ], "properties": { "queryUser": { "title": "The user information you want to query", "type": "array", "description": "The user information you want to query，eg: https://x.com/elonmusk ,or you can input elonmusk", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```