# Twitter Poster (`viralanalyzer/twitter-poster`) Actor - **URL**: https://apify.com/viralanalyzer/twitter-poster.md - **Developed by:** [viralanalyzer](https://apify.com/viralanalyzer) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN 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 ## Twitter/X Poster — Auto-Tweet via Browser — $0.45/tweet > English | [Portugues](#portugues) Post tweets, threads, and media to Twitter/X automatically via browser automation. No $100/month API required. Uses stealth browsing with residential proxy. --- ### Features | Feature | Description | |---------|-------------| | **Tweet Posting** | Text, images, videos, GIFs | | **Thread Support** | Post multi-tweet threads in sequence | | **Reply to Tweets** | Compose replies to any tweet URL | | **Stealth Mode** | Chrome fingerprint, WebGL spoof, webdriver removal | | **Residential Proxy** | Apify residential network — avoids IP blocks | | **Session Persistence** | Cookies saved in KV Store (7-day TTL) | | **Post Verification** | Confirms tweet via toast + profile check | | **Dry Run** | Test without posting — screenshot proof | ### Pricing | Usage | Cost | |-------|------| | 1 tweet posted | $0.45 | | Trial | 1 free tweet per run | Pay-per-event: you only pay for successfully posted tweets. **vs Twitter API**: Basic plan costs $100/month flat. This actor costs $0.45/tweet — break-even at ~222 tweets/month. ### Input Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `username` | string | Yes* | Twitter username or email | | `password` | string | Yes* | Twitter password | | `cookies` | string | Yes* | Browser cookies JSON (skip login) | | `tweetText` | string | Yes** | Tweet text (280 chars free, 25K premium) | | `imageUrl` | string | No | Image URL to attach (JPG, PNG, GIF, WEBP) | | `imageBase64` | string | No | Base64-encoded image | | `videoUrl` | string | No | Video URL to attach (MP4) | | `hashtags` | array | No | Hashtags to append | | `replyToUrl` | string | No | Tweet URL to reply to | | `threadTexts` | array | No | Array of texts for thread posting | | `captchaApiKey` | string | No | 2Captcha API key | | `proxyCountry` | string | No | Proxy country (default: US) | | `dryRun` | boolean | No | Test mode — compose but don't post | *Either username+password or cookies required. **Either tweetText or threadTexts required. ### Input Example ```json { "cookies": "[{\"name\":\"auth_token\",\"value\":\"...\",\"domain\":\".x.com\"}]", "tweetText": "AI-powered competitive intelligence for content creators.", "hashtags": ["AI", "SaaS", "MarketingDigital"], "dryRun": false } ```` ### Output ```json { "success": true, "platform": "twitter", "confirmedOnProfile": true, "proof": { "screenshotKey": "proof-twitter-confirmed-2026-04-08" }, "dryRun": false } ``` ### LGPD / Privacy - Credentials: `isSecret: true` — encrypted by Apify, never in logs - Cookies: KV Store with 7-day TTL — auto-expire - No third-party data accessed — posts to your own account only *** ### Portugues Poste tweets, threads e midia no Twitter/X automaticamente via automacao de navegador. Sem necessidade da API paga ($100/mes). Usa navegacao stealth com proxy residencial. | Uso | Custo | |-----|-------| | 1 tweet postado | $0.45 | | Trial | 1 tweet gratis por run | **vs Twitter API**: Plano Basic custa $100/mes fixo. Este actor custa $0.45/tweet — break-even em ~222 tweets/mes. **Funcionalidades**: Tweets, threads, midia (imagem/video), respostas, stealth mode, proxy residencial, verificacao pos-post, modo dry-run. **Privacidade (LGPD)**: Credenciais criptografadas (`isSecret`), cookies com TTL de 7 dias, nenhum dado de terceiros acessado. # Actor input Schema ## `username` (type: `string`): Your Twitter/X username or email for login. ## `password` (type: `string`): Your Twitter/X password. ## `cookies` (type: `string`): Exported cookies from browser as JSON array. If valid, login is skipped. ## `tweetText` (type: `string`): The text content of your tweet (max 280 characters for free, 25000 for Premium). ## `imageUrl` (type: `string`): URL of an image to attach to the tweet. Supports JPG, PNG, GIF, WEBP. ## `imageBase64` (type: `string`): Base64-encoded image data. Alternative to imageUrl. ## `videoUrl` (type: `string`): URL of a video to attach to the tweet. Supports MP4. ## `hashtags` (type: `array`): Hashtags to append to the tweet text. ## `replyToUrl` (type: `string`): URL of a tweet to reply to. If set, the post becomes a reply. ## `threadTexts` (type: `array`): Array of texts for posting a thread (multiple tweets in sequence). ## `captchaApiKey` (type: `string`): 2Captcha or CapSolver API key for automatic CAPTCHA solving. ## `proxyCountry` (type: `string`): Country code for residential proxy (e.g., US, BR, GB). ## `dryRun` (type: `boolean`): If true, fills the tweet form but does NOT post. Takes screenshot as proof. ## Actor input object example ```json { "proxyCountry": "US", "dryRun": false } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("viralanalyzer/twitter-poster").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 = {} # Run the Actor and wait for it to finish run = client.actor("viralanalyzer/twitter-poster").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 '{}' | apify call viralanalyzer/twitter-poster --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=viralanalyzer/twitter-poster", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Twitter Poster", "version": "1.0", "x-build-id": "lGnfx0DFNgbDA721Z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/viralanalyzer~twitter-poster/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-viralanalyzer-twitter-poster", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/viralanalyzer~twitter-poster/runs": { "post": { "operationId": "runs-sync-viralanalyzer-twitter-poster", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/viralanalyzer~twitter-poster/run-sync": { "post": { "operationId": "run-sync-viralanalyzer-twitter-poster", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "username": { "title": "Twitter Username or Email", "type": "string", "description": "Your Twitter/X username or email for login." }, "password": { "title": "Twitter Password", "type": "string", "description": "Your Twitter/X password." }, "cookies": { "title": "Browser Cookies (JSON)", "type": "string", "description": "Exported cookies from browser as JSON array. If valid, login is skipped." }, "tweetText": { "title": "Tweet Text", "maxLength": 25000, "type": "string", "description": "The text content of your tweet (max 280 characters for free, 25000 for Premium)." }, "imageUrl": { "title": "Image URL", "type": "string", "description": "URL of an image to attach to the tweet. Supports JPG, PNG, GIF, WEBP." }, "imageBase64": { "title": "Image Base64", "type": "string", "description": "Base64-encoded image data. Alternative to imageUrl." }, "videoUrl": { "title": "Video URL", "type": "string", "description": "URL of a video to attach to the tweet. Supports MP4." }, "hashtags": { "title": "Hashtags", "type": "array", "description": "Hashtags to append to the tweet text.", "items": { "type": "string" } }, "replyToUrl": { "title": "Reply To Tweet URL", "type": "string", "description": "URL of a tweet to reply to. If set, the post becomes a reply." }, "threadTexts": { "title": "Thread Texts", "type": "array", "description": "Array of texts for posting a thread (multiple tweets in sequence).", "items": { "type": "string" } }, "captchaApiKey": { "title": "CAPTCHA Solver API Key", "type": "string", "description": "2Captcha or CapSolver API key for automatic CAPTCHA solving." }, "proxyCountry": { "title": "Proxy Country", "type": "string", "description": "Country code for residential proxy (e.g., US, BR, GB).", "default": "US" }, "dryRun": { "title": "Dry Run", "type": "boolean", "description": "If true, fills the tweet form but does NOT post. Takes screenshot as proof.", "default": false } } }, "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 } } } } } } } } } } ```