# LinkedIn Video Downloader (`pocesar/download-linkedin-video`) Actor

Download Linkedin videos in bulk and save to Apify Key value store

- **URL**: https://apify.com/pocesar/download-linkedin-video.md
- **Developed by:** [Paulo Cesar](https://apify.com/pocesar) (community)
- **Categories:** Automation, Social media, Videos
- **Stats:** 206 total users, 1 monthly users, 91.9% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors

## 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 video downloader

Download multiple videos on public posts to Apify Key value store

### Supported URLs

- `https://www.linkedin.com/feed/update/`...
- `https://www.linkedin.com/username/posts/`...
- `https://www.linkedin.com/posts/`...

### Custom data

If you need to pass custom data to the output, set the `userData` object of the request in the `startUrls` array and it will be appended to the output

```json
{
    "startUrls": [{
        "url": "https://www.linkedin.com/feed/update/...",
        "userData": {
            "userid": "6236572396729"
        }
    }]
}
```

### Integration

Integrates with the https://apify.com/pocesar/merge-key-value-store-pieces to merge the output as one output for each chunks downloaded.
Otherwise, check the way for doing this manually below.

### Output

The generated output is the following:

```jsonc
{
	"url": "https://www.linkedin.com/posts/apifytech_tech-cto-leadership-activity-6911945063627464704-LlVH", // original URL requested
	"hash": "e74794b9", // the internal hash of the video, never changes between requests
	"partsUrl": "https://api.apify.com/v2/key-value-stores/SOME_ID/records/e74794b9", // the URL to the Key Value store where the video parts are stored
	"#error": false // hidden field if there was an error
}
```

The video is chunked in parts of ~2MB each and saved to the Key Value store. To be able to download it, you'll need to download all the parts and concatenate them together. Here's a small example that can be used in the browser:

```js
const { appendFileSync } = require('node:fs');

async function main(datasetId) {
    const items = await fetch(`https://api.apify.com/v2/datasets/${datasetId}/items?clean=true&format=json`).then((response) => response.json());

    const firstVideo = items[0].partsUrl; // partsUrl contains the location to the Key Value store

    // get the parts from the Key value store
    const { parts, length, contentType } = await fetch(firstVideo).then((response) => response.json());

    console.log({ parts, length, contentType });

    // wait for all parts to be downloaded
    for (const url of parts) {
        // download part using fetch
        const downloaded = await fetch(url);
        // get an arrayBuffer from the chunk
        const arrayBuffer = new Uint8Array(await downloaded.arrayBuffer());

        console.log(`Downloaded ${arrayBuffer.byteLength} bytes from ${url}`);

        // write downloaded chunk to file
        appendFileSync('video.mp4', arrayBuffer);
    }
}

main('YOUR_DATASET_ID');
```

# Actor input Schema

## `startUrls` (type: `array`):

Post urls that contains video publicly available

## `proxy` (type: `object`):

Select proxy for download

## `maxRequestRetries` (type: `integer`):

How many times the request should be retried before giving up

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.linkedin.com/posts/apifytech_tech-cto-leadership-activity-6911945063627464704-LlVH"
    }
  ],
  "proxy": {
    "useApifyProxy": true
  },
  "maxRequestRetries": 10
}
```

# 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 = {
    "startUrls": [
        {
            "url": "https://www.linkedin.com/posts/apifytech_tech-cto-leadership-activity-6911945063627464704-LlVH"
        }
    ],
    "proxy": {
        "useApifyProxy": true
    },
    "maxRequestRetries": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("pocesar/download-linkedin-video").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 = {
    "startUrls": [{ "url": "https://www.linkedin.com/posts/apifytech_tech-cto-leadership-activity-6911945063627464704-LlVH" }],
    "proxy": { "useApifyProxy": True },
    "maxRequestRetries": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("pocesar/download-linkedin-video").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 '{
  "startUrls": [
    {
      "url": "https://www.linkedin.com/posts/apifytech_tech-cto-leadership-activity-6911945063627464704-LlVH"
    }
  ],
  "proxy": {
    "useApifyProxy": true
  },
  "maxRequestRetries": 10
}' |
apify call pocesar/download-linkedin-video --silent --output-dataset

```

## MCP server setup

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

```

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/pTwNPcZgPvjjWvNho/builds/9Fba8KWl4K8qMNaI0/openapi.json