# Fast LinkedIn Posts Scraper — Posts, Search & Comments (`rbbscrap/fast-linkedin-posts-scraper`) Actor

Scrape LinkedIn posts, articles, company feeds, author updates, and comments without cookies or login on 256MB RAM.

- **URL**: https://apify.com/rbbscrap/fast-linkedin-posts-scraper.md
- **Developed by:** [Hector](https://apify.com/rbbscrap) (community)
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.80 / 1,000 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

## Fast LinkedIn Posts Scraper — Posts, Search & Comments 💬

High-speed, zero-cookie, zero-browser LinkedIn posts and topic search scraper running on ultra-efficient micro-containers (256MB RAM). Harvest viral industry posts, company thought leadership, author articles, and community insights without requiring fragile LinkedIn account cookies or residential browser farms.

***

### ⚡ 5 Key Strengths vs Competitors

1. **Zero-Cookie & Zero-Browser Architecture (256MB RAM)**: 100% immune to LinkedIn session invalidations, login walls, and CAPTCHAs. Consumes only 256MB RAM instead of 2GB–4GB Chromium instances.
2. **Comprehensive 11-in-1 Scraping Consolidation**: Combines post keyword search, author updates, company page feeds, Sales Navigator topic queries, post text, and media into a unified micro-actor.
3. **Structured SocialMediaPosting Extraction**: Automatically isolates the author name, author headline, complete post body text, publication timestamps, and embedded media attachments.
4. **Organic Multi-Engine Indexation Engine**: Taps directly into live search engine indexing to surface trending, high-engagement LinkedIn posts across any global niche.
5. **Radical Cost Reduction (Over 70% Cheaper)**: Set at **$0.0008 / post** ($0.80/1K items) vs competitor pricing of $2.50 to $5.00/1K runs (HarvestAPI & Curious Coder).

***

### 📥 Input Parameters

| Field | Type | Description |
|---|---|---|
| `searchQueries` | Array | Topics or keywords to search for (e.g. `["artificial intelligence", "startup funding"]`) |
| `postUrls` | Array | Direct URLs to LinkedIn posts (optional) |
| `maxPosts` | Integer | Maximum posts to extract (default: `30`) |
| `proxyConfiguration` | Object | Apify Proxy configuration for high-volume automated harvesting |

***

### 📤 Output Sample

```json
{
  "postUrl": "https://www.linkedin.com/posts/openai_gpt4o-launch-activity-71958291029482-xY89",
  "authorName": "OpenAI",
  "authorHeadline": null,
  "postText": "After an incredible year at OpenAI, we are announcing our next milestone...",
  "publishedAt": null,
  "mediaUrl": "https://media.licdn.com/dms/image/v2/D5622AQ...",
  "searchQuery": "artificial intelligence",
  "scrapedAt": "2026-11-01T13:40:00.000Z"
}
```

# Actor input Schema

## `searchQueries` (type: `array`):

List of topics, hashtags, or keywords to search LinkedIn posts for (e.g. 'artificial intelligence', 'hiring engineers', 'startup funding').

## `postUrls` (type: `array`):

Direct URLs to LinkedIn posts or updates (e.g. 'https://www.linkedin.com/posts/...').

## `maxPosts` (type: `integer`):

Maximum number of posts to extract.

## `proxyConfiguration` (type: `object`):

Select Apify Proxy for high-volume automated harvesting.

## Actor input object example

```json
{
  "searchQueries": [
    "artificial intelligence"
  ],
  "maxPosts": 30
}
```

# 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 = {
    "searchQueries": [
        "artificial intelligence"
    ],
    "maxPosts": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("rbbscrap/fast-linkedin-posts-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 = {
    "searchQueries": ["artificial intelligence"],
    "maxPosts": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("rbbscrap/fast-linkedin-posts-scraper").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 '{
  "searchQueries": [
    "artificial intelligence"
  ],
  "maxPosts": 30
}' |
apify call rbbscrap/fast-linkedin-posts-scraper --silent --output-dataset

```

## MCP server setup

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

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/FddP91FhmF4UY6KJc/builds/crWfIfMwabIgxvp4Q/openapi.json