# X (Twitter) Profile Posts Scraper (`scraper_one/x-profile-posts-scraper`) Actor Extract posts published by specified X (Twitter) profiles. Retrieve URLs, IDs, content, publication dates, text and engagement metrics. Ideal for social media monitoring solutions. - **URL**: https://apify.com/scraper\_one/x-profile-posts-scraper.md - **Developed by:** [Scraper One](https://apify.com/scraper_one) (community) - **Categories:** Automation, Social media, Developer tools - **Stats:** 1,660 total users, 274 monthly users, 100.0% runs succeeded, 15 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 (Twitter) Profile Posts Scraper ![Apify Actor](https://img.shields.io/badge/Apify-Actor-blue) This **Apify Actor** extracts **posts** from **X (Twitter) profiles** provided as input URLs. It retrieves post content, author data, timestamps, media, and engagement statistics. Perfect for **social media monitoring, research, user tracking, and trend analysis solutions**. πŸš€ --- ### 🧩 Features - πŸ‘€ Scrape **posts** from multiple X (Twitter) profiles - πŸ”’ Set **result limit** per profile - πŸ“Έ Extract **media, author info, post text, ids, timestamp and engagement stats** --- ### πŸ“₯ Input Parameters | Parameter | Type | Required | Description | |-------------------|------------|----------|-------------------------------------------------------------------------------| | `profileUrls` | `string[]` | βœ… | List of X profile URLs to extract posts from (e.g., `https://x.com/elonmusk`) | | `resultsLimit` | `number` | ❌ | Maximum number of posts to retrieve **per profile** (1–200). Default: 5 | | `skipPinnedPosts` | `boolean` | ❌ | Skip scraping pinned posts. Default: false | --- ### βœ… Example Input ```json { "profileUrls": [ "https://x.com/elonmusk" ], "resultsLimit": 20 } ```` *** ### πŸ“€ Output Format The scraper returns an array of post objects in JSON format with details such as text, author, and metrics. #### Example Output ```json { "postText": "🦾πŸ”₯", "postUrl": "https://x.com/elonmusk/status/1938336472253534273", "profileUrl": "https://x.com/elonmusk", "timestamp": 1750970402000, "conversationId": "1938336472253534273", "postId": "1938336472253534273", "media": [], "author": { "name": "Elon Musk", "screenName": "elonmusk", "followersCount": 221266053, "favouritesCount": 153129, "friendsCount": 1146, "description": "", "profileImageUrl": "https://pbs.twimg.com/profile_images/1962489503274401794/y2LFZ-8e_normal.png" }, "replyCount": 1558, "quoteCount": 50, "repostCount": 954, "favouriteCount": 9609 } ``` *** ### πŸš€ Usage 1. Go to [Apify Console](https://console.apify.com/) and create a new task using this actor. 2. Paste input in JSON or use form view. 3. Run the actor and monitor results in the console. 4. Download results as JSON, CSV, or Excel. *** ### ⚠️ Limitations & Notes - Works only with **public X profiles**. - Avoid excessive usage to prevent rate-limiting or temporary IP bans. - Always ensure compliance with **X (Twitter)'s Terms of Service**. - Rate-limited – Free users can make only a few requests per day. **Contact us if you need higher or custom limits!** *** ### Other Recommended Scrapers - 🐦 [X (Twitter) Posts Search](https://apify.com/scraper_one/x-posts-search) β€” Find posts/tweets based on keywords, hashtags, and more - 🐦 [X (Twitter) Post Replies Scraper](https://apify.com/scraper_one/x-post-replies-scraper) β€” Scrap replies of multiple X (Twitter) posts - 🐦 [X (Twitter) Profile Posts Scraper](https://apify.com/scraper_one/x-profile-posts-scraper) β€” Scrap posts by specified X profiles/users - πŸ“˜ [Facebook Posts Search](https://apify.com/scraper_one/facebook-posts-search) β€” Discover Facebook posts for a given topic or page - πŸ“˜ [Facebook Comments Scraper](https://apify.com/scraper_one/facebook-comments-scraper) β€” Extract comments from public Facebook posts - πŸ“˜ [Facebook Reactions Scraper](https://apify.com/scraper_one/facebook-reactions-scraper) β€” Extract reactions from public Facebook posts - πŸ“˜ [Facebook Posts Scraper](https://apify.com/scraper_one/facebook-posts-scraper) β€” Scrap posts from Facebook pages, groups etc. - πŸ’¬ [YouTube Search Scraper](https://apify.com/scraper_one/youtube-search-scraper) β€” Extract search results from YouTube - πŸ’¬ [YouTube Comments Scraper](https://apify.com/scraper_one/youtube-comments-scraper) β€” Extract comments from YouTube videos - 🎬 [YouTube Downloader](https://apify.com/scraper_one/yt-downloader) β€” Download youtube videos ### Support & Contact βœ‰οΈ Need help or want to suggest a feature? **Open an issue** or contact us at **scraper1one@gmail.com**. # Actor input Schema ## `profileUrls` (type: `array`): List of profile URLs to process ## `resultsLimit` (type: `integer`): Maximum number of results to retrieve (between 1 and 200) per profile URL. If not set, only a few of the first replies will be returned. ## `skipPinnedPosts` (type: `boolean`): If true, the pinned posts will be skipped ## Actor input object example ```json { "profileUrls": [ "https://x.com/ishowspeedsui", "https://x.com/AshtonHallofc" ], "resultsLimit": 30 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "profileUrls": [ "https://x.com/ishowspeedsui", "https://x.com/AshtonHallofc" ], "resultsLimit": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("scraper_one/x-profile-posts-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 = { "profileUrls": [ "https://x.com/ishowspeedsui", "https://x.com/AshtonHallofc", ], "resultsLimit": 30, } # Run the Actor and wait for it to finish run = client.actor("scraper_one/x-profile-posts-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 '{ "profileUrls": [ "https://x.com/ishowspeedsui", "https://x.com/AshtonHallofc" ], "resultsLimit": 30 }' | apify call scraper_one/x-profile-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraper_one/x-profile-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "X (Twitter) Profile Posts Scraper", "description": "Extract posts published by specified X (Twitter) profiles. Retrieve URLs, IDs, content, publication dates, text and engagement metrics. Ideal for social media monitoring solutions.", "version": "0.0", "x-build-id": "sNIY2mkalUADOptEh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraper_one~x-profile-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraper_one-x-profile-posts-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_one~x-profile-posts-scraper/runs": { "post": { "operationId": "runs-sync-scraper_one-x-profile-posts-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_one~x-profile-posts-scraper/run-sync": { "post": { "operationId": "run-sync-scraper_one-x-profile-posts-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": [ "profileUrls" ], "properties": { "profileUrls": { "title": "Profile URLs", "maxItems": 5, "type": "array", "description": "List of profile URLs to process", "items": { "type": "string" } }, "resultsLimit": { "title": "Results Limit", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of results to retrieve (between 1 and 200) per profile URL. If not set, only a few of the first replies will be returned." }, "skipPinnedPosts": { "title": "Skip pinned posts", "type": "boolean", "description": "If true, the pinned posts will be skipped" } } }, "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 } } } } } } } } } } ```