# Twitter (X.com) User IDs Scraper (`web.harvester/twitter-users-ids-scraper`) Actor Effortlessly extract Twitter IDs from any Twitter (X.com) profile with our Twitter User ID Scraper. Enter a username, handle, or profile URL to retrieve the unique ID instantly. Export data in JSON, CSV, Excel, XML, or HTMLβ€”perfect for API integration, data analysis, and database management. - **URL**: https://apify.com/web.harvester/twitter-users-ids-scraper.md - **Developed by:** [Web Harvester](https://apify.com/web.harvester) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 220 total users, 2 monthly users, 100.0% runs succeeded, 6 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $15.00/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 ID Scraper: Search and Extract X (Twitter) User IDs ### πŸ” Specialized X (Twitter) User ID Extraction Tool Effortlessly extract numerical Twitter IDs from any X (Twitter) profile with our dedicated Twitter User ID Scraper. Simply provide a username, handle, or profile URL to retrieve the unique numerical identifier for any Twitter account. Download your data in multiple formats including JSON, CSV, Excel, XML, and HTML Table - perfect for API integration, user tracking, data analysis, and database management. ### βœ… Key Features - **Fast ID Extraction**: Quickly retrieve numerical Twitter IDs for any account - **Search Users Profiles**: Find and extract user IDs by searching for profiles with keywords, names, etc. - **Batch Processing**: Extract IDs from multiple profiles simultaneously - **Flexible Input Methods**: Search by username/handle or direct profile URL - **API-Ready Output**: Data format optimized for easy API integration - **Multiple Export Formats**: Download as JSON, CSV, Excel, XML, RSS, or HTML Table - **No Authentication Required**: Use without Twitter credentials ### πŸ“Š Twitter User ID Output Fields Our scraper captures the essential Twitter user ID information. The output is stored in your dataset and available for download in multiple formats after completion. ### πŸ”§ Input Configuration Example Here's an input example in JSON: ```json { "userQueries": ["elonmusk", "OpenAI"], "startUrls": ["https://x.com/Apify"], "handles": ["Twitter", "Meta"] } ```` You can use any of these input methods: - `userQueries`: Search for users by keywords - `startUrls`: Direct Twitter profile URLs - `handles`: Twitter handles (with or without @ symbol) ### πŸ“‹ Output Example ```json { "username": "apify", "userId": "3510729917" } ``` ### πŸš€ Why Choose Our Twitter User ID Scraper - **Specialized Purpose**: Built specifically for ID extraction with high accuracy - **No API Limitations**: Access Twitter user IDs without API restrictions - **Lightweight & Fast**: Optimized for quick ID retrieval - **Database Integration**: Perfect for connecting Twitter data with your database - **Developer-Friendly**: Ideal for applications requiring Twitter's numerical IDs - **Cloud-based Solution**: No need to install software locally - **Regular Updates**: Tool is maintained to adapt to Twitter's changes ### πŸ’‘ Common Use Cases - Integrating with Twitter API (which requires numerical IDs) - Building user databases with stable identifiers - Tracking user metrics across platforms - Creating custom analytics solutions - Developing social media management tools - Research and academic studies - Building advertising and marketing lists ### πŸ” Complete Twitter Scraping Toolkit Enhance your Twitter data collection capabilities with our complete suite of specialized X (Twitter) scrapers:
🐦 Twitter Tweets and Profiles Scraper

Extract tweets, threads, and complete profiles from any account. Perfect for content analysis, sentiment analysis, and tracking social media engagement metrics.

 πŸ” Twitter Search Results Scraper

Harvest tweets from Twitter search results with advanced filtering options. Ideal for market research, competitor analysis, and trend monitoring.
πŸ‘₯ Twitter Users Scraper

Extract complete user profiles with detailed metrics and biographical information. Perfect for influencer research, audience analysis, and lead generation.

 πŸ†” Twitter Users IDs Scraper

Quickly extract numerical Twitter IDs from any profile. Essential for API integration, user tracking, and database management.
# Actor input Schema ## `startUrls` (type: `array`): No description ## `handles` (type: `array`): No description ## `userQueries` (type: `array`): A list of search queries for Twitter users. The scraper will scrape the tweets of the users returned by the search query. ## `profilesDesired` (type: `integer`): This value lets you set the maximum number of profiles to retrieve per search query (for "Users search queries") ## `proxyConfig` (type: `object`): No description ## Actor input object example ```json { "startUrls": [], "handles": [ "elonmusk" ], "userQueries": [], "profilesDesired": 10, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "handles": [ "elonmusk" ], "userQueries": [], "profilesDesired": 10, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("web.harvester/twitter-users-ids-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 = { "handles": ["elonmusk"], "userQueries": [], "profilesDesired": 10, "proxyConfig": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("web.harvester/twitter-users-ids-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 '{ "handles": [ "elonmusk" ], "userQueries": [], "profilesDesired": 10, "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call web.harvester/twitter-users-ids-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=web.harvester/twitter-users-ids-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter (X.com) User IDs Scraper", "description": "Effortlessly extract Twitter IDs from any Twitter (X.com) profile with our Twitter User ID Scraper. Enter a username, handle, or profile URL to retrieve the unique ID instantly. Export data in JSON, CSV, Excel, XML, or HTMLβ€”perfect for API integration, data analysis, and database management.", "version": "0.1", "x-build-id": "ORCZlCKUAcsX47Edk" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/web.harvester~twitter-users-ids-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-web.harvester-twitter-users-ids-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/web.harvester~twitter-users-ids-scraper/runs": { "post": { "operationId": "runs-sync-web.harvester-twitter-users-ids-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/web.harvester~twitter-users-ids-scraper/run-sync": { "post": { "operationId": "run-sync-web.harvester-twitter-users-ids-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", "properties": { "startUrls": { "title": "Profiles URLs.", "type": "array", "description": "", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "handles": { "title": "Twitter usernames, e.g. elonmusk or @elonmusk.", "type": "array", "description": "", "items": { "type": "string" } }, "userQueries": { "title": "Users search queries, e.g. elon musk.", "type": "array", "description": "A list of search queries for Twitter users. The scraper will scrape the tweets of the users returned by the search query.", "items": { "type": "string" } }, "profilesDesired": { "title": "Maximum number of profiles per (only for Users search queries)", "type": "integer", "description": "This value lets you set the maximum number of profiles to retrieve per search query (for \"Users search queries\")", "default": 10 }, "proxyConfig": { "title": "Proxy configuration (RESIDENTIAL recommended)", "type": "object", "description": "", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```