# LinkedIn Company Post Scraper (`brilliant_gum/linkedin-company-post-scraper`) Actor Scrape LinkedIn company posts — text, likes, comments, all 6 reaction types, images & videos. Up to 500 posts per run. Sort by recent or top. No browser needed. - **URL**: https://apify.com/brilliant\_gum/linkedin-company-post-scraper.md - **Developed by:** [Yuliia Kulakova](https://apify.com/brilliant_gum) (community) - **Categories:** Social media, Automation, Developer tools - **Stats:** 5 total users, 3 monthly users, 90.9% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $25.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## LinkedIn Company Post Scraper ![LinkedIn Company Post Scraper](https://i.imgur.com/mkfz3to.png) Extract posts from any LinkedIn company page — with full engagement data, media links, reaction breakdowns, and poster details. No browser. No manual work. Just clean, structured data. --- ### What it does Point it at any LinkedIn company URL and get back every post they've published — complete with likes, comments, reposts, all six reaction types, images, videos, and more. Works for Fortune 500s, startups, and everything in between. Perfect for: - **Competitive intelligence** — track what competitors are posting and how audiences respond - **Content strategy** — see which post formats and topics drive the most engagement - **Social listening** — monitor brand presence and audience sentiment - **Lead generation** — identify active companies and their key voices - **Market research** — analyze industry trends through company announcements --- ### Output fields Each post returns a clean JSON object with: | Field | Description | |---|---| | `text` | Full post text | | `posted` | Publication date & time (UTC) | | `time` | Relative time (e.g. "2 days ago") | | `url` | Direct link to the post | | `urn` | LinkedIn post identifier | | `poster.name` | Name of the author (company or person) | | `poster.linkedin_url` | Author's LinkedIn profile or page URL | | `num_likes` | Like count | | `num_comments` | Comment count | | `num_reposts` | Repost count | | `num_empathy` | Love reactions | | `num_interests` | Insightful reactions | | `num_appreciations` | Support reactions | | `num_praises` | Celebrate reactions | | `num_entertainment` | Funny reactions | | `total_reactions` | Total reaction count | | `reaction_types` | Full breakdown by reaction type | | `images` | Array of image URLs | | `video` | Video stream URL, duration, and thumbnail | | `reshared` | Whether the post is a reshare | | `reshared_from` | Original post info (if reshared) | --- ### Input options | Field | Description | Default | |---|---|---| | `linkedinUrl` | LinkedIn company page URL | *(required)* | | `maxPosts` | Maximum number of posts to scrape (up to 500) | `500` | | `sortBy` | `recent` (newest first) or `top` (most relevant) | `recent` | | `count` | Posts per API request (max 100) | `50` | | `startPage` | Pagination offset (0 = start from beginning) | `0` | #### Example input ```json { "linkedinUrl": "https://www.linkedin.com/company/openai/", "maxPosts": 100, "sortBy": "recent" } ```` *** ### Example output ```json { "text": "Introducing GPT-Realtime-2 in the API: our most intelligent voice model yet.", "posted": "2026-05-07 17:27:02", "time": "1 week ago", "url": "https://www.linkedin.com/feed/update/urn:li:activity:7458205768849367040", "urn": "7458205768849367040", "poster": { "name": "OpenAI", "linkedin_url": "https://www.linkedin.com/company/openai/" }, "num_likes": 1862, "num_comments": 131, "num_reposts": 223, "num_empathy": 112, "num_interests": 39, "num_appreciations": 6, "num_praises": 130, "num_entertainment": 3, "total_reactions": 2152, "reaction_types": { "LIKE": 1862, "PRAISE": 130, "EMPATHY": 112, "INTEREST": 39, "APPRECIATION": 6, "ENTERTAINMENT": 3 }, "images": [], "video": { "stream_url": "https://dms.licdn.com/playlist/vid/...", "duration": 243466, "thumbnail": "https://media.licdn.com/dms/image/..." }, "reshared": false, "reshared_from": null } ``` *** ### Pricing **$0.025 per result** — that's $25 per 1,000 posts scraped. A typical run scraping 500 posts from one company costs ~$0.50 + a small Actor start fee. Pay only for what you get. *** ### Integrations Export results as JSON, CSV, or Excel directly from the Apify dataset. Plug into your workflow via: - Apify API - Webhooks - Make (Integromat), n8n, Zapier *** ### FAQ **Which companies can I scrape?** Any public LinkedIn company page. Just paste the URL in the `linkedinUrl` field. **Does it capture posts from related showcases and employees?** Yes. LinkedIn often surfaces posts from a company's showcase pages and key employees — the scraper captures all of them as they appear on the company feed. **Can I scrape more than 500 posts?** 500 is the current maximum per run. For deeper history, use `startPage` to offset and run in batches. **What's the difference between `recent` and `top`?** `recent` returns posts in chronological order (newest first). `top` returns the most relevant and engaging posts as ranked by LinkedIn. **Does it capture video content?** Yes — for video posts you get the stream URL, video duration in milliseconds, and a thumbnail image URL. **How fresh is the data?** Data is fetched live on every run — always up to date. # Actor input Schema ## `linkedinUrl` (type: `string`): URL of the LinkedIn company page, e.g. https://www.linkedin.com/company/amazon/ ## `linkedin_url` (type: `string`): Alternative field name. Same as linkedinUrl. ## `cookie` (type: `string`): Optional. Your LinkedIn li\_at cookie for authentication. A default cookie is built-in. Provide your own if the default expires. ## `count` (type: `integer`): Number of posts to fetch per API request (max 100). Higher = fewer requests, faster scraping. ## `startPage` (type: `integer`): Starting pagination offset. Use 0 for page 1, 50 for page 2, etc. ## `start` (type: `integer`): Alternative field name. Same as startPage. ## `maxPosts` (type: `integer`): Maximum total number of posts to scrape (up to 500) ## `sortBy` (type: `string`): How to sort the posts: 'recent' (newest first) or 'top' (most relevant) ## `sort_by` (type: `string`): Alternative field name. Same as sortBy. ## `homeProxyUrl` (type: `string`): Optional residential proxy URL, e.g. http://user:pass@ip:port. Used first before Apify proxy. ## `proxyConfiguration` (type: `object`): Apify proxy configuration. Used as fallback if home proxy fails. ## Actor input object example ```json { "linkedinUrl": "https://www.linkedin.com/company/amazon/", "count": 50, "startPage": 0, "start": 0, "maxPosts": 500, "sortBy": "recent" } ``` # Actor output Schema ## `text` (type: `string`): Full text content of the post. ## `posted` (type: `string`): Date and time the post was published (UTC). ## `time` (type: `string`): Human-readable relative time, e.g. '2 days ago'. ## `url` (type: `string`): Direct URL to the LinkedIn post. ## `urn` (type: `string`): LinkedIn internal URN identifier of the post. ## `poster` (type: `string`): Name and LinkedIn URL of the post author (company or person). ## `num_likes` (type: `string`): Number of Like reactions. ## `num_comments` (type: `string`): Number of comments on the post. ## `num_reposts` (type: `string`): Number of times the post was reposted. ## `num_empathy` (type: `string`): Number of Love (empathy) reactions. ## `num_interests` (type: `string`): Number of Insightful reactions. ## `num_appreciations` (type: `string`): Number of Support (appreciation) reactions. ## `num_praises` (type: `string`): Number of Celebrate (praise) reactions. ## `num_entertainment` (type: `string`): Number of Funny (entertainment) reactions. ## `total_reactions` (type: `string`): Sum of all reaction types. ## `reaction_types` (type: `string`): Object with counts per reaction type (LIKE, EMPATHY, PRAISE, INTEREST, APPRECIATION, ENTERTAINMENT). ## `images` (type: `string`): Array of image URLs attached to the post. ## `video` (type: `string`): Video info: stream\_url, duration (ms), and thumbnail URL. Null if no video. ## `reshared` (type: `string`): True if this post is a reshare of another post. ## `reshared_from` (type: `string`): Original post info if reshared, otherwise null. # 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 = { "linkedinUrl": "https://www.linkedin.com/company/amazon/" }; // Run the Actor and wait for it to finish const run = await client.actor("brilliant_gum/linkedin-company-post-scraper").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 = { "linkedinUrl": "https://www.linkedin.com/company/amazon/" } # Run the Actor and wait for it to finish run = client.actor("brilliant_gum/linkedin-company-post-scraper").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 '{ "linkedinUrl": "https://www.linkedin.com/company/amazon/" }' | apify call brilliant_gum/linkedin-company-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=brilliant_gum/linkedin-company-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Company Post Scraper", "description": "Scrape LinkedIn company posts — text, likes, comments, all 6 reaction types, images & videos. Up to 500 posts per run. Sort by recent or top. No browser needed.", "version": "1.0", "x-build-id": "fjclUppWRJa9hgRAf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/brilliant_gum~linkedin-company-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-brilliant_gum-linkedin-company-post-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/brilliant_gum~linkedin-company-post-scraper/runs": { "post": { "operationId": "runs-sync-brilliant_gum-linkedin-company-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/brilliant_gum~linkedin-company-post-scraper/run-sync": { "post": { "operationId": "run-sync-brilliant_gum-linkedin-company-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "linkedinUrl": { "title": "LinkedIn Company URL", "type": "string", "description": "URL of the LinkedIn company page, e.g. https://www.linkedin.com/company/amazon/" }, "linkedin_url": { "title": "LinkedIn Company URL (alias)", "type": "string", "description": "Alternative field name. Same as linkedinUrl." }, "cookie": { "title": "li_at Cookie", "type": "string", "description": "Optional. Your LinkedIn li_at cookie for authentication. A default cookie is built-in. Provide your own if the default expires." }, "count": { "title": "Posts per page", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of posts to fetch per API request (max 100). Higher = fewer requests, faster scraping.", "default": 50 }, "startPage": { "title": "Start offset", "minimum": 0, "type": "integer", "description": "Starting pagination offset. Use 0 for page 1, 50 for page 2, etc.", "default": 0 }, "start": { "title": "Start offset (alias)", "minimum": 0, "type": "integer", "description": "Alternative field name. Same as startPage.", "default": 0 }, "maxPosts": { "title": "Max posts to scrape", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum total number of posts to scrape (up to 500)", "default": 500 }, "sortBy": { "title": "Sort by", "enum": [ "recent", "top" ], "type": "string", "description": "How to sort the posts: 'recent' (newest first) or 'top' (most relevant)", "default": "recent" }, "sort_by": { "title": "Sort by (alias)", "enum": [ "recent", "top" ], "type": "string", "description": "Alternative field name. Same as sortBy." }, "homeProxyUrl": { "title": "Home Proxy URL", "type": "string", "description": "Optional residential proxy URL, e.g. http://user:pass@ip:port. Used first before Apify proxy." }, "proxyConfiguration": { "title": "Apify Proxy", "type": "object", "description": "Apify proxy configuration. Used as fallback if home proxy fails." } } }, "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 } } } } } } } } } } ```