# LinkedIn Top Content Scraper (`crawlerbros/linkedin-top-content-scraper`) Actor Scrape LinkedIn's trending and top-performing posts. Extracts viral content, Top Voice posts, and trending articles with engagement metrics, author details, and media type. - **URL**: https://apify.com/crawlerbros/linkedin-top-content-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Social media, Lead generation - **Stats:** 1 total users, 0 monthly users, 100.0% 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 Top Content Scraper Scrape LinkedIn's trending and top-performing posts — including viral content, LinkedIn Top Voice posts, and trending articles — with full engagement metrics, author details, and media information. ### What It Does This actor fetches posts from LinkedIn's top content feeds using a multi-strategy cascade: 1. **Top Content Feed** (`/voyager/api/feed/topContent`) — LinkedIn's dedicated trending posts endpoint 2. **Content Search** (`/voyager/api/search/blended`) — search for top posts by category keyword 3. **Flagship Feed** (`/voyager/api/feed/flagshipFeed`) — feed filtered to `TOP_CONTENT` context 4. **Public Trending Page** (`/feed/trending/`) — cookieless fallback using public embedded data The strategies are tried in order; results are deduplicated and capped at your `maxPosts` limit. ### Input | Field | Type | Required | Description | |---|---|---|---| | `maxPosts` | integer | No | Maximum posts to scrape (default: 50, range: 1–500) | | `category` | string | No | Topic keyword like `AI`, `leadership`, `marketing` | | `cookie` | string | No | LinkedIn `li_at` cookie or full cookies JSON array | | `proxyConfiguration` | object | No | Apify proxy settings | #### Cookie For best results, provide a LinkedIn session cookie. Without it, only the public trending page is scraped (fewer results). **Accepted formats:** - Plain `li_at` value: `AQEDxxx...` - Full cookies JSON array from browser export: `[{"name":"li_at","value":"AQEDxxx..."},...]` #### Category Use `category` to focus on a specific topic. Examples: - `AI` — artificial intelligence posts - `leadership` — leadership content - `marketing` — marketing insights - `data science` — data science posts - Leave empty for general trending content ### Output Each item in the dataset represents one LinkedIn post: | Field | Type | Description | |---|---|---| | `postId` | string | LinkedIn activity ID | | `postUrl` | string | Direct URL to the post | | `authorName` | string | Author's full name | | `authorProfileUrl` | string | Author's LinkedIn profile URL | | `authorHeadline` | string | Author's headline / job title | | `postedAt` | string | ISO 8601 UTC timestamp of publication | | `content` | string | Full text of the post | | `mediaType` | string | `text`, `image`, `video`, `article`, `document`, `carousel`, `repost`, `poll`, or `event` | | `mediaUrls` | array | CDN image URLs (when `mediaType=image`) | | `articleTitle` | string | Article title (when `mediaType=article`) | | `articleUrl` | string | Article URL (when `mediaType=article`) | | `reactionsCount` | integer | Total reaction count | | `commentsCount` | integer | Total comment count | | `repostsCount` | integer | Total repost/share count | | `reactionBreakdown` | object | Per-type counts: `like`, `celebrate`, `love`, `insightful`, `support`, `funny`, `curious` | | `scrapedAt` | string | ISO 8601 UTC timestamp when scraped | ### Example Output ```json { "postId": "7234567890123456789", "postUrl": "https://www.linkedin.com/feed/update/urn:li:activity:7234567890123456789/", "authorName": "Satya Nadella", "authorProfileUrl": "https://www.linkedin.com/in/satyanadella", "authorHeadline": "Chairman and CEO at Microsoft", "postedAt": "2025-05-15T14:30:00+00:00", "content": "Excited to share our latest breakthroughs in AI...", "mediaType": "text", "reactionsCount": 42500, "commentsCount": 1230, "repostsCount": 3400, "reactionBreakdown": { "like": 30000, "celebrate": 8000, "insightful": 3500, "love": 1000 }, "scrapedAt": "2025-05-20T10:00:00+00:00" } ```` ### Use Cases - **Trend analysis**: Identify what topics and formats are performing best on LinkedIn - **Competitor research**: See what content your industry peers are posting - **Content strategy**: Find inspiration from viral posts in your niche - **Influencer discovery**: Identify LinkedIn Top Voices in specific categories - **Market research**: Track sentiment and trending topics over time ### FAQs **Do I need a LinkedIn account?** No, the actor can run without a cookie and will scrape the public trending feed. However, providing a cookie gives access to more posts and enables category-based filtering. **How many posts can I scrape?** Up to 500 posts per run. The actual number depends on what LinkedIn surfaces in its trending feeds. **Why are some posts missing fields like `postedAt` or `authorHeadline`?** LinkedIn omits some data for certain posts. Fields are only included when data is available — no null or empty values are pushed. **Will this get my LinkedIn account banned?** The actor uses the same Voyager API endpoints that LinkedIn's own mobile app uses, with realistic delays between requests. Proxy configuration is recommended for high-volume usage. **What is the `reactionBreakdown` field?** It shows how many reactions of each type the post received: `like` (thumbs up), `celebrate` (clapping), `love` (heart), `insightful` (lightbulb), `support` (hug), `funny` (laughing), and `curious` (curious face). ### 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 Reactions Scraper](https://apify.com/crawlerbros/linkedin-post-reactions-scraper) | Reactors on a post (name, headline, reaction type) | | [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 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 ## `maxPosts` (type: `integer`): Maximum number of top content posts to scrape. ## `category` (type: `string`): Optional topic keyword to filter top content (e.g. 'AI', 'leadership', 'marketing'). Leave empty to scrape general trending posts. ## `dateRange` (type: `string`): Only return posts published in the selected window (LinkedIn's own time bucket). Leave empty for any time. ## `language` (type: `string`): Preferred response language for LinkedIn API requests (affects post translation and surfaced posts). ## `mediaTypeFilter` (type: `string`): Only return posts of a specific media type. Leave empty to return all types. ## `minReactions` (type: `integer`): Only return posts with at least this many reactions. Leave empty (or 0) for no minimum. ## `minComments` (type: `integer`): Only return posts with at least this many comments. Leave empty (or 0) for no minimum. ## `cookie` (type: `string`): LinkedIn session cookie for authenticated access to more posts. Accepts: (1) the li\_at value, or (2) full cookies JSON array from an export extension. Without cookie, only the public trending feed is available. ## `proxyConfiguration` (type: `object`): Optional Apify proxy configuration. Residential proxy recommended for better results with cookie-based access. ## Actor input object example ```json { "maxPosts": 25, "dateRange": "", "language": "", "mediaTypeFilter": "", "cookie": "AQEDATVc5uMEM5s_AAABnro67cYAAAGe3kdxxk0Ajoj1en-Axa4lUoxvqVMAsMpFO2u4rOjJfIS1U1wrBETHJHqkj5i6KReB53dmYSZDgX9K4XnaFLmn7vE30gVWegfZltSOZVu_-Ny8sl4-aAKzeN-H" } ``` # 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 = { "maxPosts": 25, "cookie": "AQEDATVc5uMEM5s_AAABnro67cYAAAGe3kdxxk0Ajoj1en-Axa4lUoxvqVMAsMpFO2u4rOjJfIS1U1wrBETHJHqkj5i6KReB53dmYSZDgX9K4XnaFLmn7vE30gVWegfZltSOZVu_-Ny8sl4-aAKzeN-H" }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/linkedin-top-content-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 = { "maxPosts": 25, "cookie": "AQEDATVc5uMEM5s_AAABnro67cYAAAGe3kdxxk0Ajoj1en-Axa4lUoxvqVMAsMpFO2u4rOjJfIS1U1wrBETHJHqkj5i6KReB53dmYSZDgX9K4XnaFLmn7vE30gVWegfZltSOZVu_-Ny8sl4-aAKzeN-H", } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/linkedin-top-content-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 '{ "maxPosts": 25, "cookie": "AQEDATVc5uMEM5s_AAABnro67cYAAAGe3kdxxk0Ajoj1en-Axa4lUoxvqVMAsMpFO2u4rOjJfIS1U1wrBETHJHqkj5i6KReB53dmYSZDgX9K4XnaFLmn7vE30gVWegfZltSOZVu_-Ny8sl4-aAKzeN-H" }' | apify call crawlerbros/linkedin-top-content-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/linkedin-top-content-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Top Content Scraper", "description": "Scrape LinkedIn's trending and top-performing posts. Extracts viral content, Top Voice posts, and trending articles with engagement metrics, author details, and media type.", "version": "0.34", "x-build-id": "AIh23qFVjCY9iNTS8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~linkedin-top-content-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-linkedin-top-content-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~linkedin-top-content-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-linkedin-top-content-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~linkedin-top-content-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-linkedin-top-content-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxPosts": { "title": "Max Posts", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of top content posts to scrape.", "default": 50 }, "category": { "title": "Category / Topic Keyword", "type": "string", "description": "Optional topic keyword to filter top content (e.g. 'AI', 'leadership', 'marketing'). Leave empty to scrape general trending posts." }, "dateRange": { "title": "Date Range", "enum": [ "", "24h", "7d", "30d" ], "type": "string", "description": "Only return posts published in the selected window (LinkedIn's own time bucket). Leave empty for any time.", "default": "" }, "language": { "title": "Language", "enum": [ "", "en", "es", "fr", "de", "pt" ], "type": "string", "description": "Preferred response language for LinkedIn API requests (affects post translation and surfaced posts).", "default": "" }, "mediaTypeFilter": { "title": "Media Type Filter", "enum": [ "", "text", "image", "video", "article", "document", "repost", "poll" ], "type": "string", "description": "Only return posts of a specific media type. Leave empty to return all types.", "default": "" }, "minReactions": { "title": "Minimum Reactions", "minimum": 0, "type": "integer", "description": "Only return posts with at least this many reactions. Leave empty (or 0) for no minimum." }, "minComments": { "title": "Minimum Comments", "minimum": 0, "type": "integer", "description": "Only return posts with at least this many comments. Leave empty (or 0) for no minimum." }, "cookie": { "title": "LinkedIn Cookie (optional)", "type": "string", "description": "LinkedIn session cookie for authenticated access to more posts. Accepts: (1) the li_at value, or (2) full cookies JSON array from an export extension. Without cookie, only the public trending feed is available." }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional Apify proxy configuration. Residential proxy recommended for better results with cookie-based access." } } }, "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 } } } } } } } } } } ```