# LinkedIn Downloader (`serpdownloaders/linkedin-downloader`) Actor

LinkedIn Downloader gives professionals, researchers, marketers, and content teams a dependable way to save LinkedIn content for offline reference. Instead of relying on copy-paste or generic scrapers, it captures visible LinkedIn videos, images, and post text directly from the browser in an organi

- **URL**: https://apify.com/serpdownloaders/linkedin-downloader.md
- **Developed by:** [SERP Downloaders](https://apify.com/serpdownloaders) (community)
- **Categories:** Videos, Automation, Social media
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage

## 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 Downloader

> Download LinkedIn videos, images, and post text from feed pages and post pages in one browser workflow.

![LinkedIn Downloader](https://raw.githubusercontent.com/serpdownloaders/linkedin-downloader/main/assets/workflow-preview.webp)

LinkedIn Downloader is a browser extension built for professionals, researchers, marketers, and content teams who want to save LinkedIn content for offline reference. It scans the posts visible on the current page, detects downloadable media, and lets you save videos, images, and post text in organized folders without relying on copy-paste or generic page scrapers.

- Save LinkedIn videos as MP4 files for offline viewing
- Download post images in their original available format
- Export post text with source metadata for reference or research
- Bulk-download all visible content from the current page
- Organize saved files by author for easier archive management

### Get it Here

Get it here: https://serp.ly/linkedin-downloader

### Table of Contents

- [Why LinkedIn Downloader](#why-linkedin-downloader)
- [Features](#features)
- [How It Works](#how-it-works)
- [Step-by-Step Tutorial: How to Download Content from LinkedIn](#step-by-step-tutorial-how-to-download-content-from-linkedin)
- [Supported Formats](#supported-formats)
- [Who It's For](#who-its-for)
- [Common Use Cases](#common-use-cases)
- [Troubleshooting](#troubleshooting)
- [Trial & Access](#trial--access)
- [Installation Instructions](#installation-instructions)
- [FAQ](#faq)
- [Notes](#notes)
- [About LinkedIn](#about-linkedin)

### Why LinkedIn Downloader

LinkedIn does not provide a clean export flow for feed videos, post images, and post text. Videos are served through web delivery layers that are awkward to save manually, images are mixed in with profile pictures and interface assets, and copying post text usually loses formatting or source context.

LinkedIn Downloader is built for that exact workflow. It scans visible LinkedIn posts, filters out common page clutter, and gives you a direct way to save useful content from the current page in a more organized format.

### Features

- Video detection for LinkedIn feed posts and post pages
- Image filtering that excludes common avatars, logos, and interface assets
- Post text export with source URL and timestamp metadata
- Bulk-download workflow for all visible content on the current page
- Organized folders by author name for cleaner archives
- MP4 video saving when LinkedIn exposes downloadable video streams
- Original-format image saving where available
- TXT export for post text and metadata
- Cross-browser support for Chrome, Edge, Brave, Opera, Firefox, Whale, and Yandex

### How It Works

1. Install the extension from the latest release.
2. Open LinkedIn and go to your feed, a post page, or a video page.
3. Let the page finish loading so the extension can scan visible posts.
4. Open the extension popup to review detected videos, images, and text.
5. Download individual items or use the bulk option for everything visible.
6. Save the exported files locally in organized folders.

### Step-by-Step Tutorial: How to Download Content from LinkedIn

1. Install LinkedIn Downloader from the latest GitHub release.
2. Sign in to LinkedIn and open the feed or post page you want to save from.
3. Scroll until the content you want is visible on the page.
4. Click the extension button to scan the current view.
5. Review the detected videos, images, and text entries.
6. Download individual items or run a bulk download for all visible results.
7. Open the saved files from your Downloads folder, organized by author.

### Supported Formats

- Video: MP4
- Images: JPG, PNG, WebP, GIF, and other source formats where available
- Text: TXT

Saved text exports include the post content plus source metadata such as the original URL and timestamp when available.

### Who It's For

- Professionals saving LinkedIn content for offline reference
- Content creators archiving their own posts and videos
- Researchers and analysts building organized post archives
- Recruiters and marketers collecting examples, trends, or reference material
- Teams that want a cleaner workflow than copy-pasting posts manually

### Common Use Cases

- Save a LinkedIn video post for offline viewing or presentation prep
- Download post images for research boards or internal reference
- Export post text into plain text files with source metadata
- Bulk-download all visible content from a loaded feed page
- Archive your own published LinkedIn posts in one place

### Troubleshooting

**The extension is not finding a post video**  
Make sure the post is fully loaded and visible on the page before scanning.

**The wrong images are being picked up**  
LinkedIn Downloader filters common page assets, but pages with unusual layouts may still need a refresh and re-scan.

**The bulk download missed some posts**  
Scroll further so more posts load, then run the scan again. The extension only captures content visible on the current page.

**The text export looks incomplete**  
Expand long posts before scanning so the full text is visible in the browser.

**A post requires login or restricted access**  
The extension only works on content you can already access in your current LinkedIn session.

### Trial & Access

- Includes **3 free downloads** so you can test the workflow first
- Email sign-in uses secure one-time password verification
- No credit card required for the trial
- Unlimited downloads are available with a paid license

Start here: [https://serp.ly/linkedin-downloader](https://serp.ly/linkedin-downloader)

### Installation Instructions

1. Open the latest release page:
   [https://github.com/serpdownloaders/linkedin-downloader/releases/latest](https://github.com/serpdownloaders/linkedin-downloader/releases/latest)
2. Download the extension build for your browser.
3. Install the extension.
4. Open LinkedIn and navigate to a feed, post, or video page.
5. Use the extension popup to scan and download visible content.

### FAQ

**What types of LinkedIn content can I download?**  
Videos, images, and post text from supported LinkedIn feed and post pages.

**What file formats are used?**  
Videos are saved as MP4, images are saved in the source format when available, and post text is exported as TXT.

**Does it download every image on the page?**  
No. The extension filters common profile pictures, logos, and interface graphics to focus on post content.

**Can I bulk-download everything visible?**  
Yes. The extension supports bulk export for the content currently visible on the page.

**Where are files saved?**  
They are saved to your default Downloads location, typically organized into LinkedIn-related folders by author.

**Do I need extra software?**  
No. Everything runs through the browser extension.

### License

This repository is distributed under the proprietary SERP Apps license in the [LICENSE](https://github.com/serpdownloaders/linkedin-downloader/blob/main/LICENSE) file. Review that file before copying, modifying, or redistributing any part of this project.

### Notes

- Only download content you own or have explicit permission to save
- The extension only captures content currently visible on the page
- Scroll to load more posts before scanning if you want a larger batch
- Video quality depends on the streams LinkedIn exposes for that post
- Respect LinkedIn terms and the rights of original content owners

### About LinkedIn

LinkedIn is a professional social platform built around posts, articles, media sharing, and business networking. While it works well for consuming content in the browser, it does not offer a simple native workflow for exporting mixed post assets like video, images, and text together. LinkedIn Downloader simplifies that process for users who need a cleaner local archive workflow.

# Actor input Schema

## `listingNotice` (type: `string`):

Optional informational field only. This actor currently serves as the public listing surface for the browser extension and does not yet expose a finalized runtime API contract.

## Actor input object example

```json
{
  "listingNotice": "No runtime input is required yet. See the README and product page for the current extension workflow."
}
````

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("serpdownloaders/linkedin-downloader").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("serpdownloaders/linkedin-downloader").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 '{}' |
apify call serpdownloaders/linkedin-downloader --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=serpdownloaders/linkedin-downloader",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "LinkedIn Downloader",
        "description": "LinkedIn Downloader gives professionals, researchers, marketers, and content teams a dependable way to save LinkedIn content for offline reference. Instead of relying on copy-paste or generic scrapers, it captures visible LinkedIn videos, images, and post text directly from the browser in an organi",
        "version": "0.0",
        "x-build-id": "Ax98LhlMwArgeNiVW"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/serpdownloaders~linkedin-downloader/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-serpdownloaders-linkedin-downloader",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/serpdownloaders~linkedin-downloader/runs": {
            "post": {
                "operationId": "runs-sync-serpdownloaders-linkedin-downloader",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/serpdownloaders~linkedin-downloader/run-sync": {
            "post": {
                "operationId": "run-sync-serpdownloaders-linkedin-downloader",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "listingNotice": {
                        "title": "Listing notice",
                        "type": "string",
                        "description": "Optional informational field only. This actor currently serves as the public listing surface for the browser extension and does not yet expose a finalized runtime API contract.",
                        "default": "No runtime input is required yet. See the README and product page for the current extension workflow."
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```