# LinkedIn Post Scraper - Extract Post Data by URL (`thirdwatch/linkedin-post-scraper`) Actor Scrape a single LinkedIn post by URL. Extracts post text, author, timestamp, reactions, comment count, reposts, and media. No login or cookies needed. - **URL**: https://apify.com/thirdwatch/linkedin-post-scraper.md - **Developed by:** [Thirdwatch](https://apify.com/thirdwatch) (community) - **Categories:** Social media, Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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 Scraper Extract structured data from a public LinkedIn post given its URL. Pure HTTP — no browser, no login, no cookies required. ### What it does Given one or more LinkedIn post URLs, returns: | Field | Description | |---|---| | `url` | Canonical post URL | | `urn` | `urn:li:activity:{id}` / `urn:li:share:{id}` / `urn:li:ugcPost:{id}` | | `post_id` | Numeric id (last segment of the urn) | | `text` | Full post body (not the truncated og:description) | | `posted_relative` | Relative timestamp as LinkedIn renders it (e.g. `1mo`, `3d`, `5h`) | | `edited` | `true` if the post shows an "Edited" marker | | `author_name` | Author display name | | `author_headline` | Author tagline (job title / description) | | `author_profile_url` | Link to the author's profile or company page | | `author_profile_image` | Author avatar URL | | `author_is_company` | `true` if the author is a company page | | `reactions_count` | Total reactions (likes, celebrates, etc.) | | `comments_count` | Number of top-level comments | | `reposts_count` | Always `null` — LinkedIn does not expose this on the public embed | | `media` | Array of `{type, url, thumbnail}` for images and videos in the post | ### Accepted URL formats The actor accepts any of: ```` https://www.linkedin.com/posts/{user}\_{slug}-activity-{id}-{hash} https://www.linkedin.com/feed/update/urn:li:activity:{id}/ https://www.linkedin.com/feed/update/urn:li:share:{id}/ https://www.linkedin.com/feed/update/urn:li:ugcPost:{id}/ urn:li:activity:{id} ```` Query strings (e.g. `?actorCompanyId=...`) are stripped automatically. ### Input ```json { "postUrls": [ "https://www.linkedin.com/feed/update/urn:li:activity:7444032259956903936/", "https://www.linkedin.com/feed/update/urn:li:share:7441772941413085184/" ], "maxPosts": 10 } ```` ### Output (per post) ```json { "url": "https://www.linkedin.com/feed/update/urn:li:activity:7444032259956903936/", "urn": "urn:li:activity:7444032259956903936", "post_id": "7444032259956903936", "text": "LinkedIn is currently chock-a-block with AI hype...", "posted_relative": "1mo", "edited": true, "author_name": "Saranya Balachandran", "author_headline": "Content Marketer & Strategist...", "author_profile_url": "https://in.linkedin.com/in/saranya-balachandran-69443720", "author_profile_image": "https://media.licdn.com/...", "author_is_company": false, "reactions_count": 27, "comments_count": 5, "reposts_count": null, "media": [ {"type": "image", "url": "https://media.licdn.com/...", "thumbnail": ""} ] } ``` ### Limitations - **Comment text is not returned.** Pulling individual comments requires a logged-in session; this actor stays purely public. - **Reposts count is null.** LinkedIn does not expose it on the public embed page. - **`posted_relative` is a relative string, not an ISO timestamp.** The public embed exposes only the rendered "1mo" / "3d" form. If you need an absolute timestamp, derive it client-side from `post_id` (LinkedIn ids encode the creation millisecond in the upper bits) or from your scrape time minus the relative interval. ### Pricing Pay-per-event: starts at $0.005 per post (FREE tier), drops to $0.002 at GOLD tier. # Actor input Schema ## `postUrls` (type: `array`): LinkedIn post URLs. Accepts: '/posts/{user}\_{slug}-activity-{id}-{hash}', '/feed/update/urn:li:activity:{id}', '/feed/update/urn:li:share:{id}', or a bare 'urn:li:activity:{id}' / 'urn:li:share:{id}' / 'urn:li:ugcPost:{id}'. ## `maxPosts` (type: `integer`): Maximum number of posts to scrape per run. ## `proxyConfiguration` (type: `object`): Proxy settings. Default residential is recommended; LinkedIn pre-blocks some IPs. ## Actor input object example ```json { "postUrls": [ "https://www.linkedin.com/posts/williamhgates_ill-never-forget-typing-this-letter-to-my-activity-7288306552338362369-ZEgW" ], "maxPosts": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "postUrls": [ "https://www.linkedin.com/posts/williamhgates_ill-never-forget-typing-this-letter-to-my-activity-7288306552338362369-ZEgW" ], "maxPosts": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("thirdwatch/linkedin-post-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "postUrls": ["https://www.linkedin.com/posts/williamhgates_ill-never-forget-typing-this-letter-to-my-activity-7288306552338362369-ZEgW"], "maxPosts": 10, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("thirdwatch/linkedin-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 '{ "postUrls": [ "https://www.linkedin.com/posts/williamhgates_ill-never-forget-typing-this-letter-to-my-activity-7288306552338362369-ZEgW" ], "maxPosts": 10, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call thirdwatch/linkedin-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thirdwatch/linkedin-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "LinkedIn Post Scraper - Extract Post Data by URL", "description": "Scrape a single LinkedIn post by URL. Extracts post text, author, timestamp, reactions, comment count, reposts, and media. No login or cookies needed.", "version": "1.0", "x-build-id": "pbdjaDJiw8Snx8zTE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thirdwatch~linkedin-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thirdwatch-linkedin-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thirdwatch~linkedin-post-scraper/runs": { "post": { "operationId": "runs-sync-thirdwatch-linkedin-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thirdwatch~linkedin-post-scraper/run-sync": { "post": { "operationId": "run-sync-thirdwatch-linkedin-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "postUrls": { "title": "Post URLs", "type": "array", "description": "LinkedIn post URLs. Accepts: '/posts/{user}_{slug}-activity-{id}-{hash}', '/feed/update/urn:li:activity:{id}', '/feed/update/urn:li:share:{id}', or a bare 'urn:li:activity:{id}' / 'urn:li:share:{id}' / 'urn:li:ugcPost:{id}'.", "default": [], "items": { "type": "string" } }, "maxPosts": { "title": "Max Posts", "minimum": 1, "maximum": 200, "type": "integer", "description": "Maximum number of posts to scrape per run.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings. Default residential is recommended; LinkedIn pre-blocks some IPs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```