# X (Twitter) Posts Search (`scraper_one/x-posts-search`) Actor ✨ Search for X (formerly Twitter) posts using keywords or hashtags. Retrieve post URLs, content, publication dates, author details, and engagement metrics. Ideal for monitoring brand mentions on X over time. - **URL**: https://apify.com/scraper\_one/x-posts-search.md - **Developed by:** [Scraper One](https://apify.com/scraper_one) (community) - **Categories:** Social media, Lead generation, Other - **Stats:** 1,208 total users, 188 monthly users, 100.0% runs succeeded, 18 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.20 / 1,000 result items 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) Posts Search ![Apify Actor](https://img.shields.io/badge/Apify-Actor-blue) This **Apify Actor** searches for posts on **X (formerly Twitter)** based on keywords or hashtags. The results include post URL, content, publication date, author information, and engagement metrics. It's a powerful tool for **monitoring** public conversations on X, tracking **brand mentions**, staying updated on **trending topics**, and discovering **high-engagement** posts in real time. **Stay ahead** of potential reputation risks, detect viral content, and join relevant discussions πŸš€ ### Features - πŸ” Search by **keywords or hashtags** - πŸ• Filter by **time window** (e.g. posts from the last 7 days) - 🧡 Choose between **top** or **latest** results - πŸŽ₯ Retrieve **media** (images, videos, gifs) from posts - πŸ“Š Extract **engagement metrics** (likes, reposts, replies, quotes) ### Input Parameters | Parameter | Type | Required | Description | |-------------------|----------|----------|---------------------------------------------------------------------------------------------------------------------------| | `query` | `string` | βœ… | Keyword or hashtag to search posts for. | | `resultsCount` | `number` | ❌ | Maximum number of posts to extract. If not set, only a few of the first posts will be returned. | | `timeWindowHours` | `number` | ❌ | Time window in **hours**, counting back from current time. E.g. `5` = last 5 hours. Works only with 'Latest' Search Type. | | `timeWindow` | `number` | ❌ | Time window in **days**, counting back from today. E.g. `7` = last 7 days. Works only with 'Latest' Search Type. | | `searchType` | `string` | ❌ | Type of search results: `"top"` or `"latest"`. Defaults to platform’s default if not specified. | #### Example Input ```json { "query": "SpaceX", "resultsCount": 30, "timeWindow": 7, "searchType": "latest" } ```` ```json { "query": "NASA", "resultsCount": 30, "timeWindowHours": 4, "searchType": "latest" } ``` ### Output Data The actor returns an array of JSON objects representing individual X posts. #### Example Output ```json [ { "postText": "#Iceland hospital\nAnd\nPolice hell !! See you soon on court πŸ˜‰ https://t.co/axWj1bexPl", "postUrl": "https://x.com/Maj33Majewska/status/1905313916126736649", "timestamp": 1743097211000, "conversationId": "1905313916126736649", "postId": "1905313916126736649", "media": [ { "mediaUrlHttps": "https://pbs.twimg.com/amplify_video_thumb/1905313794902966272/img/0HvmBic_wjBJQa3b.jpg", "type": "video", "id": "1905313794902966272" } ], "author": { "name": "Natalie", "screenName": "Maj33Majewska", "followersCount": 142, "favouritesCount": 300, "friendsCount": 171, "description": "Strict and intelligent person is curious about @SpaceX" }, "replyCount": 0, "quoteCount": 0, "repostCount": 0, "favouriteCount": 0 } ] ``` βœ… Let us know if you'd like to include additional data fields or filters. ### Usage 1. **Create an Apify account** and open the actor page. 2. **Configure input parameters** in the Apify UI or via API. 3. **Run the actor** and monitor logs for progress. 4. **Download extracted posts** in JSON, CSV, or Excel format. ### Limitations & Notes - Ensure your usage of X's data complies with their [Terms of Service](https://twitter.com/en/tos). - Avoid excessive scraping to reduce the risk of IP blocking or rate limiting. - Media content is linked directly from X and may expire or be removed. - Rate-limited – Free users can make only a few requests per day. **Contact us if you need higher or custom limits!** ### Works Best With For best results, use this actor together with [X Post Replies Scraper](https://apify.com/scraper_one/x-post-replies-scraper). First, search for tweets matching your criteria using **X Posts Search**, then pass those tweet URLs into this **X Post Replies Scraper** to extract replies and enrich your dataset. βœ… #### Best Use Case Flow - πŸ”Ž Run X Posts Search β†’ Find relevant tweets based on keywords or hashtags - πŸ“₯ Feed tweet URLs into X Post Replies Scraper β†’ Get replies for each tweet - πŸ“Š Gain insights β†’ Analyze engagement, sentiment, and conversation threads This combination provides a powerful workflow for understanding discussions around specific topics on X. πŸš€ ### Other Recommended Scrapers If you're working with multiple platforms or want additional data sources, check out these scrapers: - 🐦 [X (Twitter) Posts Search](https://apify.com/scraper_one/x-posts-search) β€” Find posts/tweets based on keywords, hashtags, and more - 🐦 [X Post Replies Scraper](https://apify.com/scraper_one/x-post-replies-scraper) β€” Scrap replies of multiple X ( Twitter) posts - 🐦 [X Profile Posts Scraper](https://apify.com/scraper_one/x-profile-posts-scraper) β€” Scrap posts of specific X ( Twitter) profile - 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€” Scrap reactions from Facebook posts (like, sad, haha, angry etc.) - πŸ“˜ [Facebook Posts Scraper](https://apify.com/scraper_one/facebook-posts-scraper) β€” Scrap posts from Facebook pages, groups etc. - 🎬 [YouTube Search Scraper](https://apify.com/scraper_one/youtube-search-scraper) β€” Extract videos from search queries - 🎬 [YouTube Comments Scraper](https://apify.com/scraper_one/youtube-comments-scraper) β€” Extract comments from posted videos - 🎬 [YouTube Downloader](https://apify.com/scraper_one/yt-downloader) β€” Download youtube videos ### Support & Contact πŸ“¬ Need help or found a bug? Open an issue or contact us at **scraper1one@gmail.com** # Actor input Schema ## `query` (type: `string`): The search term to look for. ## `resultsCount` (type: `integer`): Number of search results to retrieve (between 1 and 500). If not set, only a few of the first posts will be returned. ## `timeWindow` (type: `integer`): Get posts from last n day(s). Works only when the Search Type is set to 'Latest' ## `timeWindowHours` (type: `integer`): Get posts from last n hours. Works only when the Search Type is set to 'Latest' ## `searchType` (type: `string`): What kind of posts you'd like to search for. ## Actor input object example ```json { "query": "Iceland", "resultsCount": 30, "searchType": "top" } ``` # 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 = { "query": "Iceland", "resultsCount": 30, "searchType": "top" }; // Run the Actor and wait for it to finish const run = await client.actor("scraper_one/x-posts-search").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 = { "query": "Iceland", "resultsCount": 30, "searchType": "top", } # Run the Actor and wait for it to finish run = client.actor("scraper_one/x-posts-search").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 '{ "query": "Iceland", "resultsCount": 30, "searchType": "top" }' | apify call scraper_one/x-posts-search --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraper_one/x-posts-search", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "X (Twitter) Posts Search", "description": "✨ Search for X (formerly Twitter) posts using keywords or hashtags. Retrieve post URLs, content, publication dates, author details, and engagement metrics. Ideal for monitoring brand mentions on X over time.", "version": "0.0", "x-build-id": "X8n92G7HRoVjpptSF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraper_one~x-posts-search/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraper_one-x-posts-search", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraper_one~x-posts-search/runs": { "post": { "operationId": "runs-sync-scraper_one-x-posts-search", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraper_one~x-posts-search/run-sync": { "post": { "operationId": "run-sync-scraper_one-x-posts-search", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query", "searchType" ], "properties": { "query": { "title": "Search Query", "pattern": "^[^{}$<>`]*$", "minLength": 1, "maxLength": 100, "type": "string", "description": "The search term to look for." }, "resultsCount": { "title": "Number of results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Number of search results to retrieve (between 1 and 500). If not set, only a few of the first posts will be returned." }, "timeWindow": { "title": "Time Window", "minimum": 1, "type": "integer", "description": "Get posts from last n day(s). Works only when the Search Type is set to 'Latest'" }, "timeWindowHours": { "title": "Time Window Hours", "minimum": 1, "type": "integer", "description": "Get posts from last n hours. Works only when the Search Type is set to 'Latest'" }, "searchType": { "title": "Search Type", "enum": [ "top", "latest" ], "type": "string", "description": "What kind of posts you'd like to search for.", "default": "top" } } }, "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 } } } } } } } } } } ```