# LinkedIn Post Reactions Scraper (`crawlerbros/linkedin-post-reactions-scraper`) Actor Scrape the full list of people who reacted to any LinkedIn post, including their name, headline, profile URL, and reaction type (like, celebrate, love, support, insightful, funny, curious). - **URL**: https://apify.com/crawlerbros/linkedin-post-reactions-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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. 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 ## LinkedIn Post Reactions Scraper Scrape the complete list of people who reacted to any LinkedIn post. For each reactor you get their **name**, **headline**, **profile URL**, and the **reaction type** (like, celebrate, love, support, insightful, funny, curious). ### What you get For every person who reacted to a post: | Field | Description | |---|---| | `reactorName` | Full name of the reactor | | `reactorProfileUrl` | Full LinkedIn profile URL | | `reactorHeadline` | Current job title or headline | | `reactionType` | One of: `like`, `celebrate`, `love`, `support`, `insightful`, `funny`, `curious` | | `postUrl` | Canonical LinkedIn post URL | | `postId` | Numeric LinkedIn activity ID | | `inputPostUrl` | The original URL you provided | | `scrapedAt` | ISO 8601 UTC timestamp | ### Input | Field | Type | Required | Description | |---|---|---|---| | `postUrls` | string[] | Yes | LinkedIn post URLs or bare activity IDs | | `cookie` | string | Yes | LinkedIn session cookie (li_at value or full JSON export) | | `maxReactorsPerPost` | integer | No | Max reactors per post. Default: 100. Max: 5000 | | `reactionTypeFilter` | string[] | No | Only return specific reaction types. Empty = all types | | `proxyConfiguration` | object | No | Apify proxy settings. Residential proxy recommended | #### Accepted post URL formats - `https://www.linkedin.com/feed/update/urn:li:activity:7234567890123456789/` - `https://www.linkedin.com/posts/username_slug-7234567890123456789-xxxx/` - `urn:li:activity:7234567890123456789` - `7234567890123456789` (bare activity ID) #### Getting your LinkedIn cookie 1. Log in to LinkedIn in your browser 2. Open DevTools → Application → Cookies → `www.linkedin.com` 3. Copy the value of `li_at` For best results, export all cookies as a JSON array using a browser extension like **EditThisCookie** or **Cookie-Editor**. ### Output example ```json { "reactorName": "Jane Doe", "reactorProfileUrl": "https://www.linkedin.com/in/janedoe", "reactorHeadline": "Senior Engineer at Acme Corp", "reactionType": "like", "postUrl": "https://www.linkedin.com/feed/update/urn:li:activity:7234567890123456789/", "postId": "7234567890123456789", "inputPostUrl": "https://www.linkedin.com/feed/update/urn:li:activity:7234567890123456789/", "scrapedAt": "2025-01-15T10:30:00+00:00" } ```` ### Reaction types | Reaction | LinkedIn code | |---|---| | like | LIKE | | celebrate | PRAISE | | love | APPRECIATION | | support | EMPATHY | | insightful | INTEREST | | funny | ENTERTAINMENT | | curious | MAYBE | ### Use cases - **Lead generation** — Find everyone who engaged with a competitor's or thought leader's post - **Community analysis** — Understand who your post resonates with - **Recruiting** — Identify professionals who reacted to industry content - **Market research** — Discover interested buyers for specific topics - **Influencer outreach** — Build contact lists of engaged LinkedIn users ### Notes - LinkedIn limits visible reactors to approximately 1,000 per post (regardless of total shown) - A valid LinkedIn session cookie (`li_at`) is required — the scraper cannot work without authentication - Residential proxy is recommended but not required for small runs - Rate limiting is handled automatically with exponential backoff ### FAQ **How many reactors can I scrape per post?** LinkedIn's API exposes up to approximately 1,000 reactors. The actor stops when it reaches the LinkedIn-reported total or your configured `maxReactorsPerPost` limit. **Do I need a LinkedIn Premium account?** No. A standard LinkedIn account with a valid session cookie is sufficient. **Will LinkedIn detect this scraper?** The actor uses LinkedIn's own internal Voyager API, the same API that powers the LinkedIn web app. However, excessive scraping or very high rate requests may trigger rate limiting. The actor automatically backs off when rate limited. **Can I filter by reaction type?** Yes. Use the `reactionTypeFilter` input to include only specific reaction types (e.g., only `like` and `insightful`). Leave it empty to get all reaction types. **How fresh is the data?** Data is fetched live from LinkedIn at run time, so it reflects the current state of reactions on the post. ### Explore the rest of the LinkedIn suite Need a different LinkedIn surface? Pair this actor with any of the others in the LinkedIn Suite — all published under the same publisher and built to share the same cookie format and output conventions. | Actor | What it scrapes | |---|---| | [LinkedIn Comments Scraper](https://apify.com/crawlerbros/linkedin-comments-scraper) | All comments + reply threads on a post | | [LinkedIn Company Employees Scraper](https://apify.com/crawlerbros/linkedin-company-employees-scraper) | Employee list for any company (by URN) | | [LinkedIn Company Info Scraper](https://apify.com/crawlerbros/linkedin-company-info-scraper) | Company About page (size, HQ, industry, specialties) | | [LinkedIn Company Posts Scraper](https://apify.com/crawlerbros/linkedin-company-posts-scraper) | Posts published from a company page | | [LinkedIn Events Scraper](https://apify.com/crawlerbros/linkedin-events-scraper) | Events by keyword/URL with full event detail | | [LinkedIn Hashtag Posts Scraper](https://apify.com/crawlerbros/linkedin-hashtag-posts-scraper) | Posts ranked under a `#hashtag` | | [LinkedIn Jobs Scraper](https://apify.com/crawlerbros/linkedin-jobs-scraper) | Job listings via the public jobs-guest API | | [LinkedIn Jobs Scraper Ultra](https://apify.com/crawlerbros/linkedin-jobs-scraper-ultra) | Same as jobs-scraper + full detail enrichment | | [LinkedIn Learning Courses Scraper](https://apify.com/crawlerbros/linkedin-learning-courses-scraper) | LinkedIn Learning course catalog by keyword | | [LinkedIn People Search Scraper](https://apify.com/crawlerbros/linkedin-people-search-scraper) | People search with every LinkedIn facet (role, company, school, location, etc.) | | [LinkedIn Post Scraper](https://apify.com/crawlerbros/linkedin-post-scraper) | Full post (text, media, engagement counts, author) | | [LinkedIn Post Search Scraper](https://apify.com/crawlerbros/linkedin-post-search-scraper) | Posts matching a keyword (with date/author/network filters) | | [LinkedIn Profile Posts Scraper](https://apify.com/crawlerbros/linkedin-profile-posts-scraper) | All posts/reposts/articles for one profile | | [LinkedIn Profile Scraper](https://apify.com/crawlerbros/linkedin-profile-scraper) | Public profile fields (name, headline, positions, education, skills) | | [LinkedIn Profile Scraper Pro](https://apify.com/crawlerbros/linkedin-profile-scraper-pro) | Profile fields + extras (recommendations, organizations, languages) | | [LinkedIn Profile Scraper Pro Ultra](https://apify.com/crawlerbros/linkedin-profile-scraper-pro-ultra) | Pro + premium fields (contact info, followers list when allowed) | | [LinkedIn Profile Scraper Ultra](https://apify.com/crawlerbros/linkedin-profile-scraper-ultra) | Profile + the full upstream dash-120 surface | | [LinkedIn Profile Search by Name](https://apify.com/crawlerbros/linkedin-profile-search-by-name) | Search profiles by person name (great for matching CSVs of names) | | [LinkedIn Schools Alumni Scraper](https://apify.com/crawlerbros/linkedin-schools-alumni-scraper) | Alumni list for any LinkedIn school page | | [LinkedIn Top Content Scraper](https://apify.com/crawlerbros/linkedin-top-content-scraper) | Trending / top-engagement posts by topic | | [LinkedIn User Activity Scraper](https://apify.com/crawlerbros/linkedin-user-activity-scraper) | Reactions + comments + posts feed for one profile | All actors share the same `cookie` input format (plain `li_at` OR full cookies JSON array) and the same omit-empty output convention. # Actor input Schema ## `postUrls` (type: `array`): LinkedIn post URLs or bare activity IDs. Accepts full post URLs (feed/update/urn:li:activity:... or /posts/...) or plain numeric activity IDs. ## `cookie` (type: `string`): Your LinkedIn session cookie. Accepts: (1) the li\_at value from browser DevTools, or (2) full cookies JSON array exported from an extension like EditThisCookie. ## `maxReactorsPerPost` (type: `integer`): Maximum number of reactors to scrape per post. LinkedIn typically exposes up to 1000. ## `reactionTypeFilter` (type: `array`): Only include reactors who gave these reaction types. Leave empty to include all reaction types. ## `reactionTypes` (type: `array`): Alternative multi-select filter using LinkedIn's raw API reaction codes. Leave empty to include all. ## `minDate` (type: `string`): Only include reactions newer than this ISO date (YYYY-MM-DD). Optional. ## `language` (type: `string`): Preferred LinkedIn locale for the session (affects headline/text language where applicable). ## `proxyConfiguration` (type: `object`): Optional Apify proxy configuration. Residential proxy recommended for best results. ## Actor input object example ```json { "postUrls": [ "https://www.linkedin.com/feed/update/urn:li:activity:7234567890123456789/" ], "cookie": "AQEDATVc5uMEM5s_AAABnro67cYAAAGe3kdxxk0Ajoj1en-Axa4lUoxvqVMAsMpFO2u4rOjJfIS1U1wrBETHJHqkj5i6KReB53dmYSZDgX9K4XnaFLmn7vE30gVWegfZltSOZVu_-Ny8sl4-aAKzeN-H", "maxReactorsPerPost": 100, "reactionTypes": [ "LIKE", "PRAISE", "EMPATHY", "INTEREST", "APPRECIATION", "ENTERTAINMENT" ], "language": "en_US" } ``` # 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 = { "postUrls": [ "https://www.linkedin.com/feed/update/urn:li:activity:7234567890123456789/" ], "cookie": "AQEDATVc5uMEM5s_AAABnro67cYAAAGe3kdxxk0Ajoj1en-Axa4lUoxvqVMAsMpFO2u4rOjJfIS1U1wrBETHJHqkj5i6KReB53dmYSZDgX9K4XnaFLmn7vE30gVWegfZltSOZVu_-Ny8sl4-aAKzeN-H" }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/linkedin-post-reactions-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 = { "postUrls": ["https://www.linkedin.com/feed/update/urn:li:activity:7234567890123456789/"], "cookie": "AQEDATVc5uMEM5s_AAABnro67cYAAAGe3kdxxk0Ajoj1en-Axa4lUoxvqVMAsMpFO2u4rOjJfIS1U1wrBETHJHqkj5i6KReB53dmYSZDgX9K4XnaFLmn7vE30gVWegfZltSOZVu_-Ny8sl4-aAKzeN-H", } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/linkedin-post-reactions-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 '{ "postUrls": [ "https://www.linkedin.com/feed/update/urn:li:activity:7234567890123456789/" ], "cookie": "AQEDATVc5uMEM5s_AAABnro67cYAAAGe3kdxxk0Ajoj1en-Axa4lUoxvqVMAsMpFO2u4rOjJfIS1U1wrBETHJHqkj5i6KReB53dmYSZDgX9K4XnaFLmn7vE30gVWegfZltSOZVu_-Ny8sl4-aAKzeN-H" }' | apify call crawlerbros/linkedin-post-reactions-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/linkedin-post-reactions-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Post Reactions Scraper", "description": "Scrape the full list of people who reacted to any LinkedIn post, including their name, headline, profile URL, and reaction type (like, celebrate, love, support, insightful, funny, curious).", "version": "0.6", "x-build-id": "UOvjynfpft2Q3dFhP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~linkedin-post-reactions-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-linkedin-post-reactions-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~linkedin-post-reactions-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-linkedin-post-reactions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~linkedin-post-reactions-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-linkedin-post-reactions-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "postUrls", "cookie" ], "properties": { "postUrls": { "title": "Post URLs or Activity IDs", "type": "array", "description": "LinkedIn post URLs or bare activity IDs. Accepts full post URLs (feed/update/urn:li:activity:... or /posts/...) or plain numeric activity IDs.", "items": { "type": "string" } }, "cookie": { "title": "LinkedIn Cookie", "type": "string", "description": "Your LinkedIn session cookie. Accepts: (1) the li_at value from browser DevTools, or (2) full cookies JSON array exported from an extension like EditThisCookie." }, "maxReactorsPerPost": { "title": "Max Reactors Per Post", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of reactors to scrape per post. LinkedIn typically exposes up to 1000.", "default": 100 }, "reactionTypeFilter": { "title": "Reaction Type Filter", "type": "array", "description": "Only include reactors who gave these reaction types. Leave empty to include all reaction types.", "items": { "type": "string", "enum": [ "like", "celebrate", "love", "support", "insightful", "funny", "curious" ], "enumTitles": [ "Like", "Celebrate", "Love", "Support", "Insightful", "Funny", "Curious" ] } }, "reactionTypes": { "title": "Reaction Types (raw API codes)", "type": "array", "description": "Alternative multi-select filter using LinkedIn's raw API reaction codes. Leave empty to include all.", "items": { "type": "string", "enum": [ "LIKE", "PRAISE", "EMPATHY", "INTEREST", "APPRECIATION", "ENTERTAINMENT" ], "enumTitles": [ "Like", "Praise / Celebrate", "Empathy / Love", "Interest / Insightful", "Appreciation / Support", "Entertainment / Funny" ] }, "default": [ "LIKE", "PRAISE", "EMPATHY", "INTEREST", "APPRECIATION", "ENTERTAINMENT" ] }, "minDate": { "title": "Minimum Reaction Date", "type": "string", "description": "Only include reactions newer than this ISO date (YYYY-MM-DD). Optional." }, "language": { "title": "Language", "enum": [ "en_US", "en_GB", "es_ES", "fr_FR", "de_DE", "pt_BR", "it_IT", "nl_NL", "ja_JP", "zh_CN" ], "type": "string", "description": "Preferred LinkedIn locale for the session (affects headline/text language where applicable).", "default": "en_US" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional Apify proxy configuration. Residential proxy recommended for best results." } } }, "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 } } } } } } } } } } ```