# Tweet Scraper - Search X / Twitter (GetXAPI) (`getxapi/search-tweets`) Actor Scrape X (Twitter) tweets by advanced-search query, or fetch a tweet's replies or full detail. No login needed - powered by GetXAPI. - **URL**: https://apify.com/getxapi/search-tweets.md - **Developed by:** [GetXAPI](https://apify.com/getxapi) (community) - **Categories:** Social media, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Tweet Scraper - Search X / Twitter (GetXAPI) Scrape **X (Twitter) tweets** at scale with Twitter's full **advanced-search** syntax - no login, no developer account, no OAuth. Also fetch a tweet's **replies** or a single tweet's **full detail**. Powered by [GetXAPI](https://www.getxapi.com). Export results as **JSON, CSV, Excel** or push to **Google Sheets**. ### Modes | Mode | What it does | Needs | |------|--------------|-------| | `search` | Search tweets by query (advanced operators supported) | `searchQuery` | | `replies` | Fetch all replies to a tweet | `tweetId` | | `detail` | Fetch one tweet's full detail (+ author) | `tweetId` | ### Search query examples - `from:elonmusk` - tweets from a user - `to:elonmusk` - replies to a user - `#crypto min_faves:100` - hashtag with at least 100 likes - `"AI" OR "crypto" from:elonmusk` - boolean operators - `solana memecoin since:2026-01-01` - keywords + date range ### Input | Field | Description | |---|---| | `mode` | `search` (default), `replies`, or `detail`. | | `searchQuery` | The advanced-search query (search mode). | | `product` | `Latest` (newest) or `Top` (most engagement). | | `tweetId` | Tweet id (replies / detail mode). | | `maxResults` | Stop after N tweets/replies (default: all). Each page = up to 20. | ### Output One dataset item per tweet (full object: text, metrics, author, media, timestamps, URLs). Download as JSON / CSV / Excel or send to your CRM / webhook. ### Pricing Pay a small fee **per API request** - each page (up to 20 tweets) is one request. No subscription. ### Powered by GetXAPI The cheapest Twitter (X) API. Build your own integrations at **[www.getxapi.com](https://www.getxapi.com)** - from **$0.001 per call**, with **$0.1 in free credits** to start. # Actor input Schema ## `mode` (type: `string`): What to fetch: search tweets by query, a tweet's replies, or a single tweet's full detail. ## `searchQuery` (type: `string`): Twitter advanced-search query. Examples: from:elonmusk | #crypto min_faves:100 | "AI" OR "crypto" from:elonmusk | solana since:2026-01-01 ## `product` (type: `string`): Latest = newest first; Top = most engagement. ## `tweetId` (type: `string`): The tweet id to fetch replies or detail for, e.g. 2019264360682778716. ## `maxResults` (type: `integer`): Stop after this many tweets/replies (search & replies modes). Leave empty to fetch all. Each page returns up to 20. ## Actor input object example ```json { "mode": "search", "searchQuery": "from:elonmusk", "product": "Latest" } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQuery": "from:elonmusk" }; // Run the Actor and wait for it to finish const run = await client.actor("getxapi/search-tweets").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "searchQuery": "from:elonmusk" } # Run the Actor and wait for it to finish run = client.actor("getxapi/search-tweets").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 '{ "searchQuery": "from:elonmusk" }' | apify call getxapi/search-tweets --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getxapi/search-tweets", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Tweet Scraper - Search X / Twitter (GetXAPI)", "description": "Scrape X (Twitter) tweets by advanced-search query, or fetch a tweet's replies or full detail. No login needed - powered by GetXAPI.", "version": "0.1", "x-build-id": "q7hdFhRl51X3aFSm7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getxapi~search-tweets/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getxapi-search-tweets", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getxapi~search-tweets/runs": { "post": { "operationId": "runs-sync-getxapi-search-tweets", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getxapi~search-tweets/run-sync": { "post": { "operationId": "run-sync-getxapi-search-tweets", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "search", "replies", "detail" ], "type": "string", "description": "What to fetch: search tweets by query, a tweet's replies, or a single tweet's full detail.", "default": "search" }, "searchQuery": { "title": "Search query (search mode)", "type": "string", "description": "Twitter advanced-search query. Examples: from:elonmusk | #crypto min_faves:100 | \"AI\" OR \"crypto\" from:elonmusk | solana since:2026-01-01" }, "product": { "title": "Sort (search mode)", "enum": [ "Latest", "Top" ], "type": "string", "description": "Latest = newest first; Top = most engagement.", "default": "Latest" }, "tweetId": { "title": "Tweet ID (replies / detail mode)", "type": "string", "description": "The tweet id to fetch replies or detail for, e.g. 2019264360682778716." }, "maxResults": { "title": "Max results", "minimum": 1, "type": "integer", "description": "Stop after this many tweets/replies (search & replies modes). Leave empty to fetch all. Each page returns up to 20." } } }, "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 } } } } } } } } } } ```