# 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:** 35 total users, 10 monthly users, 100.0% runs succeeded, 0 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

> **Thirdwatch portfolio:** 5K users across 88 public Actors, 2M+ records delivered, and >99% run success. [Explore all Thirdwatch Actors](https://apify.com/thirdwatch).

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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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 <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/fEC3HrvLC4BnKSTOc/builds/tNJTBYcQC2IY0ufrX/openapi.json