# LinkedIn Posts API | Scrape Profile Posts & Engagement (`johnvc/linkedin-posts-api`) Actor Collect public LinkedIn posts as clean, structured JSON. Discover every post from a profile URL, or fetch specific post URLs, with text, reactions, comments, shares, media, hashtags, and author details. Pay per post, MCP-ready for Claude and AI agents. - **URL**: https://apify.com/johnvc/linkedin-posts-api.md - **Developed by:** [John](https://apify.com/johnvc) (community) - **Categories:** Social media, Lead generation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Posts API | Scrape Profile Posts & Engagement Collect public [LinkedIn](https://www.linkedin.com) posts as clean, structured JSON. Use this actor with Claude, Cursor, or any MCP-compatible AI agent to scrape post text, reactions, comments, shares, media, hashtags, and author details, billed per post. Give it a profile URL and it discovers that person's recent posts, or give it specific post URLs to fetch directly. Built API-first and MCP-ready so AI agents can call it as a tool. --- ### 📋 What this API returns | Field | Description | |---|---| | `postUrl`, `postId` | The post's public URL and identifier. | | `postType` | The kind of post (post, article, repost). | | `datePosted` | When the post was published. | | `title`, `text` | The post title (for articles) and body text. | | `hashtags` | Hashtags used in the post. | | `authorName`, `authorHeadline`, `authorUrl` | Who posted it and their headline / profile URL. | | `authorFollowers`, `authorType` | Author audience size and person/company type. | | `numLikes`, `numComments`, `numShares` | Engagement counts. | | `images`, `videos`, `embeddedLinks` | Media and links attached to the post. | | `taggedCompanies`, `taggedPeople` | Entities tagged in the post. | | `topComments` | A sample of the most visible comments. | | `summary` | A plain-language one-line interpretation of the post. | --- ### 🎯 Use cases - **Content research.** Pull a creator's or brand's recent posts to study what performs. - **Competitive monitoring.** Track a competitor's LinkedIn posts and engagement over time. - **Social listening.** Collect posts and their reactions and comments for sentiment and trend analysis. - **Lead generation.** Find the most-engaged posts from target accounts to spot warm prospects. - **Personal brand analytics.** Measure reactions, comments, and shares across your own posts. - **AI agent workflows.** Drive this API over MCP from Claude to fetch and summarize posts in-conversation. --- ### ⚙️ Input examples #### Discover a profile's posts ```json { "profileUrls": ["https://www.linkedin.com/in/williamhgates"], "maxPostsPerProfile": 20 } ```` #### Limit discovery to a date range ```json { "profileUrls": ["https://www.linkedin.com/in/williamhgates"], "maxPostsPerProfile": 50, "startDate": "2025-01-01", "endDate": "2025-12-31" } ``` #### Fetch specific posts by URL ```json { "postUrls": [ "https://www.linkedin.com/posts/williamhgates_activity-7446904645010210816" ] } ``` `maxPostsPerProfile` caps how many posts are returned per profile, so you control cost. The API returns one row per post. *** ### 📤 Example output Each post is returned as one JSON row: ```json { "result_type": "post", "postId": "7446904645010210816", "postUrl": "https://www.linkedin.com/posts/williamhgates_activity-7446904645010210816", "postType": "post", "datePosted": "2025-06-01T12:00:00.000Z", "text": "A few books shaped how I think about clean energy this year...", "hashtags": ["cleanenergy", "books"], "authorName": "williamhgates", "authorHeadline": "Co-chair, Bill & Melinda Gates Foundation", "authorUrl": "https://www.linkedin.com/in/williamhgates", "numLikes": 12045, "numComments": 843, "numShares": 210, "summary": "Post by williamhgates, 12,045 reactions, 843 comments, posted 2025-06-01" } ``` *** ### 💰 Pricing (pay-per-event) You pay per post returned. There is no per-run setup fee. The current per-event price is shown on the Store card and in the Actor's Monetization details. Because billing is per post, you only pay for the posts actually delivered, and `maxPostsPerProfile` lets you cap the volume of each run. *** ### 🔌 Use this API from Claude (MCP) This Actor is MCP-server-compatible, so [Claude Code](https://claude.ai/referral/uIlpa7nPLg) (free trial), Claude (desktop and web), Cursor, and other MCP clients can call it as a tool through Apify's hosted MCP server. Add it with this Actor-specific URL: `https://mcp.apify.com/?tools=actors,docs,johnvc/linkedin-posts-api` Apify MCP integration docs: https://docs.apify.com/platform/integrations/mcp Setup walkthrough: https://www.youtube.com/watch?v=jREWahDGhJM **New to Claude Code or Claude Cowork?** Start a [free trial](https://claude.ai/referral/uIlpa7nPLg). Then ask Claude: > *"Use the LinkedIn Posts API to pull Bill Gates's last 10 posts and summarize which got the most engagement."* *** ### 🚀 How to get started 1. Open the Actor and paste one or more LinkedIn profile URLs into `profileUrls` (or post URLs into `postUrls`). 2. Set `maxPostsPerProfile` to bound the volume, then run it and read the results from the dataset (JSON, CSV, Excel, or API). [View on Apify Store](https://apify.com/johnvc/linkedin-posts-api?fpr=9n7kx3) *** ### ❓ FAQ #### What input should I provide? A public LinkedIn profile URL (e.g. `https://www.linkedin.com/in/williamhgates`) to discover its posts, and/or specific post URLs to fetch directly. #### How many posts do I get per profile? As many as `maxPostsPerProfile` (default 20). Newest posts are returned first, and you can narrow the range with `startDate` and `endDate`. #### Do you return comment and reaction counts? Yes. Each post row includes reaction, comment, and share counts, plus a sample of the most visible comments. #### What if a profile has no public posts? The API returns a clear error row for that profile explaining why, so one empty profile does not fail the whole run. *** Last Updated: 2026.07.07 # Actor input Schema ## `profileUrls` (type: `array`): One or more LinkedIn profile URLs, e.g. https://www.linkedin.com/in/williamhgates. The API discovers and returns that profile's recent posts (newest first), up to Max posts per profile. Non-/in/ profile URLs are skipped. Up to 25 per run. Need larger batches? Contact us and we can raise this limit for your account. ## `postUrls` (type: `array`): One or more specific LinkedIn post URLs, e.g. https://www.linkedin.com/posts/...-activity-1234567890 or https://www.linkedin.com/feed/update/urn:li:activity:1234567890. Each returns one row. Up to 1000 per run. Need larger batches? Contact us and we can raise this limit for your account. ## `maxPostsPerProfile` (type: `integer`): Maximum number of posts to return for each profile URL (discover mode). Caps upstream cost. Ignored for specific post URLs. ## `startDate` (type: `string`): Only discover posts on or after this date (YYYY-MM-DD). Applies to profile discovery only. ## `endDate` (type: `string`): Only discover posts on or before this date (YYYY-MM-DD). Applies to profile discovery only. ## Actor input object example ```json { "profileUrls": [ "https://www.linkedin.com/in/williamhgates" ], "maxPostsPerProfile": 20, "startDate": "2025-01-01", "endDate": "2025-12-31" } ``` # Actor output Schema ## `allResults` (type: `string`): Every dataset item from this run: collected posts and any error rows. ## `overview` (type: `string`): Tabular overview of every dataset item using the dataset schema's default view. Columns: type, author, text, reactions, comments, posted, URL, summary. ## `engagement` (type: `string`): Author reach and reactions/comments/shares per post. # 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 = { "profileUrls": [ "https://www.linkedin.com/in/williamhgates" ] }; // Run the Actor and wait for it to finish const run = await client.actor("johnvc/linkedin-posts-api").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 = { "profileUrls": ["https://www.linkedin.com/in/williamhgates"] } # Run the Actor and wait for it to finish run = client.actor("johnvc/linkedin-posts-api").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 '{ "profileUrls": [ "https://www.linkedin.com/in/williamhgates" ] }' | apify call johnvc/linkedin-posts-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=johnvc/linkedin-posts-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Posts API | Scrape Profile Posts & Engagement", "description": "Collect public LinkedIn posts as clean, structured JSON. Discover every post from a profile URL, or fetch specific post URLs, with text, reactions, comments, shares, media, hashtags, and author details. Pay per post, MCP-ready for Claude and AI agents.", "version": "0.0", "x-build-id": "EhlYGK3J7VvS8BV9D" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/johnvc~linkedin-posts-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-johnvc-linkedin-posts-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/johnvc~linkedin-posts-api/runs": { "post": { "operationId": "runs-sync-johnvc-linkedin-posts-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/johnvc~linkedin-posts-api/run-sync": { "post": { "operationId": "run-sync-johnvc-linkedin-posts-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "profileUrls": { "title": "Profile URLs (discover posts)", "maxItems": 25, "type": "array", "description": "One or more LinkedIn profile URLs, e.g. https://www.linkedin.com/in/williamhgates. The API discovers and returns that profile's recent posts (newest first), up to Max posts per profile. Non-/in/ profile URLs are skipped. Up to 25 per run. Need larger batches? Contact us and we can raise this limit for your account.", "items": { "type": "string" } }, "postUrls": { "title": "Post URLs (fetch specific posts)", "maxItems": 1000, "type": "array", "description": "One or more specific LinkedIn post URLs, e.g. https://www.linkedin.com/posts/...-activity-1234567890 or https://www.linkedin.com/feed/update/urn:li:activity:1234567890. Each returns one row. Up to 1000 per run. Need larger batches? Contact us and we can raise this limit for your account.", "items": { "type": "string" } }, "maxPostsPerProfile": { "title": "Max posts per profile", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of posts to return for each profile URL (discover mode). Caps upstream cost. Ignored for specific post URLs.", "default": 20 }, "startDate": { "title": "Start date", "type": "string", "description": "Only discover posts on or after this date (YYYY-MM-DD). Applies to profile discovery only." }, "endDate": { "title": "End date", "type": "string", "description": "Only discover posts on or before this date (YYYY-MM-DD). Applies to profile discovery only." } } }, "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 } } } } } } } } } } ```