# Linkedin Post Scraper ✅ No cookies (`supreme_coder/linkedin-post`) Actor

Scrape unlimited Linkedin posts without risking your Linkedin account. Live data, Super fast scraping at affordable cost. High success rate

- **URL**: https://apify.com/supreme_coder/linkedin-post.md
- **Developed by:** [Supreme Coder](https://apify.com/supreme_coder) (community)
- **Categories:** Social media, Lead generation, Automation
- **Features:** Limited permissions
- **Stats:** 17,916 total users, 1,658 monthly users, 100.0% runs succeeded, 603 bookmarks
- **User rating**: 4.05 out of 5 stars

## Pricing

from $2.00 / 1,000 cost per post scrapeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

Scrape posts from linkedin without providing cookies or risking account ban
Scrape posts from linkedin in realtime and get latest data

This is the **hybrid** variant: every request is randomly routed to either the
API-proxy backend or the browser-proxy backend, according to configurable
weights. Both backends expose the same client interface, so `main.js` calls the
common methods without knowing which backend serves any given request.

It supports scraping posts from

- Linkedin users
- Companies
- Linkedin posts search

Configure the split with the `hybridWeights` input (or the `HYBRID_API_WEIGHT` /
`HYBRID_BROWSER_WEIGHT` env vars), e.g. `{ "api": 0.7, "browser": 0.3 }`.
Defaults to an even 50/50 split.

Use cases

- Generate hyper personalized cold emails based on user's posts
- Find posts related to your niche and generate leads

# Actor input Schema

## `urls` (type: `array`):

Supported URLs: Linkedin post search URL, Linkedin user or company profile URL, Linkedin post URL

## `limitPerSource` (type: `integer`):

Limit number of posts scraped per source URL, leave empty for unlimited

## `scrapeUntil` (type: `string`):

Use this field if you want to only scrape posts newer than given date

## `deepScrape` (type: `boolean`):

Get more information such as likes, comments etc

## `fetchDocumentDetails` (type: `boolean`):

Fetch attached document details from posts with transcripts and all available pages as images. If not enabled, only first 4 page images will be available

## `numComments` (type: `integer`):

Number of comments to fetch for each post

## `numLikes` (type: `integer`):

Number of liked users to fetch for each post

## `rawData` (type: `boolean`):

Push the scraped data directly to the dataset without any processing and filtering. This might be useful if you are looking for some missing data in the dataset

## Actor input object example

```json
{
  "urls": [
    "https://www.linkedin.com/posts/linkedin_no-is-a-complete-sentence-activity-7247998907798978560-J_hB?utm_source=share&utm_medium=member_desktop",
    "https://www.linkedin.com/company/amazon",
    "https://www.linkedin.com/search/results/content/?datePosted=%22past-24h%22&keywords=ai&origin=FACETED_SEARCH"
  ],
  "limitPerSource": 10,
  "deepScrape": true,
  "fetchDocumentDetails": false,
  "numComments": 10,
  "numLikes": 10,
  "rawData": false
}
```

# 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 = {
    "urls": [
        "https://www.linkedin.com/posts/linkedin_no-is-a-complete-sentence-activity-7247998907798978560-J_hB?utm_source=share&utm_medium=member_desktop",
        "https://www.linkedin.com/company/amazon",
        "https://www.linkedin.com/search/results/content/?datePosted=%22past-24h%22&keywords=ai&origin=FACETED_SEARCH"
    ],
    "limitPerSource": 10,
    "numComments": 10,
    "numLikes": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("supreme_coder/linkedin-post").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 = {
    "urls": [
        "https://www.linkedin.com/posts/linkedin_no-is-a-complete-sentence-activity-7247998907798978560-J_hB?utm_source=share&utm_medium=member_desktop",
        "https://www.linkedin.com/company/amazon",
        "https://www.linkedin.com/search/results/content/?datePosted=%22past-24h%22&keywords=ai&origin=FACETED_SEARCH",
    ],
    "limitPerSource": 10,
    "numComments": 10,
    "numLikes": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("supreme_coder/linkedin-post").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.linkedin.com/posts/linkedin_no-is-a-complete-sentence-activity-7247998907798978560-J_hB?utm_source=share&utm_medium=member_desktop",
    "https://www.linkedin.com/company/amazon",
    "https://www.linkedin.com/search/results/content/?datePosted=%22past-24h%22&keywords=ai&origin=FACETED_SEARCH"
  ],
  "limitPerSource": 10,
  "numComments": 10,
  "numLikes": 10
}' |
apify call supreme_coder/linkedin-post --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,supreme_coder/linkedin-post"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Wpp1BZ6yGWjySadk3/builds/rLPW0lf7C7zGPTwhi/openapi.json