# X (formerly Twitter) User Details (`glavier/x-user-details`) Actor Fetch Twitter User Details by username. - **URL**: https://apify.com/glavier/x-user-details.md - **Developed by:** [Glavier](https://apify.com/glavier) (community) - **Categories:** Social media, Integrations - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 requests This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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.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 ## X (formerly Twitter) User Details API Fetch Twitter User Details by username. ### Features - **Instant HTTP API** — No waiting for Actor runs, get results in real-time - **Structured JSON** — Clean results - **Pay Per Request** — You only pay for successful API calls ### Quick Start Send a GET request to the Standby endpoint: ```` https://glavier--x-user-details.apify.actor?username=elonmusk\&token={YOUR\_APIFY\_TOKEN} ```` #### Example Response ```json { "data": { "user": { "result": { "__typename": "User", "affiliates_highlighted_label": { "label": { "badge": { "url": "https://pbs.twimg.com/profile_images/1955359038532653056/OSHY3ewP_bigger.jpg" }, "description": "X", "url": { "url": "https://twitter.com/X", "urlType": "DeepLink" }, "userLabelDisplayType": "Badge", "userLabelType": "BusinessLabel" } }, "business_account": {}, "has_graduated_access": true, "has_nft_avatar": false, "id": "VXNlcjo0NDE5NjM5Nw==", "is_blue_verified": true, "is_profile_translatable": false, "legacy": { "blocked_by": false, "blocking": false, "can_dm": false, "can_media_tag": false, "created_at": "Tue Jun 02 20:12:29 +0000 2009", "default_profile": false, "default_profile_image": false, "description": "", "entities": { "description": { "urls": [] } }, "fast_followers_count": 0, "favourites_count": 214936, "follow_request_sent": false, "followed_by": false, "followers_count": 236091389, "following": false, "friends_count": 1292, "has_custom_timelines": true, "is_translator": false, "listed_count": 167763, "location": "", "media_count": 4380, "muting": false, "name": "Elon Musk", "normal_followers_count": 236091389, "notifications": false, "pinned_tweet_ids_str": [ "2030159267689632121" ], "possibly_sensitive": false, "profile_banner_url": "https://pbs.twimg.com/profile_banners/44196397/1739948056", "profile_image_url_https": "https://pbs.twimg.com/profile_images/2008546467615580160/57KcqsTA_normal.jpg", "profile_interstitial_type": "", "protected": false, "screen_name": "elonmusk", "statuses_count": 98570, "translator_type": "none", "verified": false, "want_retweets": false, "withheld_in_countries": [] }, "legacy_extended_profile": {}, "professional": { "category": [], "professional_type": "Creator", "rest_id": "1679729435447275522" }, "profile_image_shape": "Circle", "rest_id": "44196397", "smart_blocked_by": false, "smart_blocking": false, "super_follow_eligible": true, "super_followed_by": false, "super_following": false, "verification_info": { "reason": { "description": { "entities": [ { "from_index": 54, "ref": { "url": "https://twitter.com/X", "url_type": "ExternalUrl" }, "to_index": 56 }, { "from_index": 63, "ref": { "url": "https://help.twitter.com/en/rules-and-policies/profile-labels", "url_type": "ExternalUrl" }, "to_index": 73 } ], "text": "This account is verified because it's an affiliate of @X on X. Learn more" } } } } } } } ```` ### Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `username`| string | Yes | — | X (formerly Twitter) username | ### Authentication Include your Apify API token in one of two ways: **Query parameter (simple):** ``` https://glavier--x-user-details.apify.actor?username=elonmusk&token={YOUR_APIFY_TOKEN} ``` **Authorization header (recommended):** ```bash curl "https://glavier--x-user-details.apify.actor?username=elonmusk" \ -H "Authorization: Bearer {YOUR_APIFY_TOKEN}" ``` ### Pricing This Actor uses **Pay Per Event** pricing. You are charged per request, not per result. | Event | Description | |-------|-------------| | `request` | Each successful API call (non-5xx response) | The price per request is shown on the Actor's pricing page. Requests that result in a server error (5xx) are not charged. ### Integration Examples #### JavaScript / Node.js ```javascript const response = await fetch( 'https://glavier--x-user-details.apify.actor?username=elonmusk', { headers: { 'Authorization': 'Bearer YOUR_TOKEN' } } ); const data = await response.json(); console.log(data.results); ``` #### Python ```python import requests response = requests.get( 'https://glavier--x-user-details.apify.actor', params={'username': 'elonmusk'}, headers={'Authorization': 'Bearer YOUR_TOKEN'} ) data = response.json() print(data['results']) ``` #### cURL ```bash curl "https://glavier--x-user-details.apify.actor?username=elonmusk" \ -H "Authorization: Bearer YOUR_APIFY_TOKEN" ``` ### Support For issues or feature requests, please use the Issues tab on this Actor's page. # Actor input Schema ## `username` (type: `string`): Username. ## Actor input object example ```json { "username": "elonmusk" } ``` # Actor output Schema # 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 = { "username": "elonmusk" }; // Run the Actor and wait for it to finish const run = await client.actor("glavier/x-user-details").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 = { "username": "elonmusk" } # Run the Actor and wait for it to finish run = client.actor("glavier/x-user-details").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 '{ "username": "elonmusk" }' | apify call glavier/x-user-details --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=glavier/x-user-details", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "X (formerly Twitter) User Details", "description": "Fetch Twitter User Details by username.", "version": "0.0", "x-build-id": "wdHIex5PheIwxio3p" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/glavier~x-user-details/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-glavier-x-user-details", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/glavier~x-user-details/runs": { "post": { "operationId": "runs-sync-glavier-x-user-details", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/glavier~x-user-details/run-sync": { "post": { "operationId": "run-sync-glavier-x-user-details", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "username" ], "properties": { "username": { "title": "Username", "type": "string", "description": "Username." } } }, "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 } } } } } } } } } } ```