# Linkedin Company Poster (`viralanalyzer/linkedin-company-poster`) Actor - **URL**: https://apify.com/viralanalyzer/linkedin-company-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 ## LinkedIn Company Page Poster — Auto-Post via Browser — $0.50/post > English | [Portugues](#portugues) Post to LinkedIn Company Pages automatically via browser automation. No API app approval needed (LinkedIn verification takes weeks). Supports text, images, videos, and link posts. --- ### Features | Feature | Description | |---------|-------------| | **Company Page Posts** | Post as your company, not personal profile | | **Media Support** | Images, videos, link previews | | **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) | | **Dry Run** | Test without posting — screenshot proof | | **Proof Capture** | Screenshot saved for every post | ### Pricing | Usage | Cost | |-------|------| | 1 company post | $0.50 | | Trial | 1 free post per run | Pay-per-event: you only pay for successfully posted content. **vs LinkedIn API**: API app approval takes 2-6 weeks. This actor works immediately. ### Input Parameters | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `email` | string | Yes* | LinkedIn login email (must be page admin) | | `password` | string | Yes* | LinkedIn password | | `cookies` | string | Yes* | Browser cookies JSON (skip login) | | `companyUrl` | string | Yes | Company Page URL | | `postText` | string | Yes** | Post text (max 3000 chars) | | `imageUrl` | string | No | Image URL to attach | | `imageBase64` | string | No | Base64-encoded image | | `videoUrl` | string | No | Video URL to attach (MP4) | | `linkUrl` | string | Yes** | Link URL to share | | `hashtags` | array | No | Hashtags to append | | `captchaApiKey` | string | No | 2Captcha API key | | `proxyCountry` | string | No | Proxy country (default: US) | | `dryRun` | boolean | No | Test mode — compose but don't post | *Either email+password or cookies. **Either postText or linkUrl required. ### Input Example ```json { "cookies": "[{\"name\":\"li_at\",\"value\":\"...\",\"domain\":\".linkedin.com\"}]", "companyUrl": "https://www.linkedin.com/company/viralanalyzer/", "postText": "New AI insights for content creators!", "hashtags": ["AI", "ContentMarketing", "SaaS"], "dryRun": false } ```` ### Output ```json { "success": true, "platform": "linkedin_company", "companyUrl": "https://www.linkedin.com/company/viralanalyzer/", "proof": { "screenshotKey": "proof-linkedin-post-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 company page only *** ### Portugues Poste em paginas de empresa do LinkedIn automaticamente via automacao de navegador. Sem necessidade de aprovacao de app na API (que demora semanas). Suporta texto, imagens, videos e links. | Uso | Custo | |-----|-------| | 1 post de empresa | $0.50 | | Trial | 1 post gratis por run | **vs LinkedIn API**: Aprovacao de app leva 2-6 semanas. Este actor funciona imediatamente. **Funcionalidades**: Posts como empresa, imagens, videos, links, stealth mode, proxy residencial, modo dry-run, screenshot de prova. **Privacidade (LGPD)**: Credenciais criptografadas (`isSecret`), cookies com TTL de 7 dias, nenhum dado de terceiros acessado. # Actor input Schema ## `email` (type: `string`): Your LinkedIn login email (must be admin of the Company Page). ## `password` (type: `string`): Your LinkedIn password. ## `cookies` (type: `string`): Exported cookies from browser as JSON array. If valid, login is skipped. ## `companyUrl` (type: `string`): LinkedIn Company Page URL (e.g., https://www.linkedin.com/company/viralanalyzer/). ## `postText` (type: `string`): The text content of the post (supports mentions and hashtags). ## `imageUrl` (type: `string`): URL of an image to attach. Supports JPG, PNG, WEBP. ## `imageBase64` (type: `string`): Base64-encoded image data. Alternative to imageUrl. ## `videoUrl` (type: `string`): URL of a video to attach (MP4). ## `linkUrl` (type: `string`): URL to share as a link post (LinkedIn auto-generates preview). ## `hashtags` (type: `array`): Hashtags to append to the post text. ## `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 post 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/linkedin-company-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/linkedin-company-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/linkedin-company-poster --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=viralanalyzer/linkedin-company-poster", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Linkedin Company Poster", "version": "1.0", "x-build-id": "WPtIDlysqXLNUUkmM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/viralanalyzer~linkedin-company-poster/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-viralanalyzer-linkedin-company-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/viralanalyzer~linkedin-company-poster/runs": { "post": { "operationId": "runs-sync-viralanalyzer-linkedin-company-poster", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/viralanalyzer~linkedin-company-poster/run-sync": { "post": { "operationId": "run-sync-viralanalyzer-linkedin-company-poster", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "email": { "title": "LinkedIn Email", "type": "string", "description": "Your LinkedIn login email (must be admin of the Company Page)." }, "password": { "title": "LinkedIn Password", "type": "string", "description": "Your LinkedIn password." }, "cookies": { "title": "Browser Cookies (JSON)", "type": "string", "description": "Exported cookies from browser as JSON array. If valid, login is skipped." }, "companyUrl": { "title": "Company Page URL", "type": "string", "description": "LinkedIn Company Page URL (e.g., https://www.linkedin.com/company/viralanalyzer/)." }, "postText": { "title": "Post Text", "maxLength": 3000, "type": "string", "description": "The text content of the post (supports mentions and hashtags)." }, "imageUrl": { "title": "Image URL", "type": "string", "description": "URL of an image to attach. Supports JPG, PNG, 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 (MP4)." }, "linkUrl": { "title": "Link URL", "type": "string", "description": "URL to share as a link post (LinkedIn auto-generates preview)." }, "hashtags": { "title": "Hashtags", "type": "array", "description": "Hashtags to append to the post text.", "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 post 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 } } } } } } } } } } ```