# LinkedIn Post Scraper (`thenetaji/linkedin-post-scraper`) Actor

Fetch full public LinkedIn post details — text, author, reactions, comments, and media — for one or more post, activity, or article URLs.

- **URL**: https://apify.com/thenetaji/linkedin-post-scraper.md
- **Developed by:** [The Netaji](https://apify.com/thenetaji) (community)
- **Categories:** Social media, Lead generation, Developer tools
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.40 / 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 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

**Preserve the public text, author context, engagement, and media behind known LinkedIn post URLs.**

LinkedIn Post Scraper is the Actor I reach for when the URL is already known but the post needs to become a durable research record. It accepts post, activity, and article URLs so a mixed reading list can land in one dataset.

### Capture the post before analyzing the reaction

Text and headline fields explain the message; author and publication fields establish provenance; reaction, comment, and media fields describe how the post appeared and how people engaged with it.

### Paste the URLs you actually reviewed

#### Batch post lookup

Enter one or more LinkedIn post, activity, or /pulse/ article URLs and fetch the full public post for each.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `post_url` | array<string> | Yes | LinkedIn post, activity, or /pulse/ article URLs to fetch post details for. |
| `maxItems` | integer | No | Maximum number of posts to fetch. Set to 0 for no item limit. |

#### Example post URL

```json
{
  "post_url": [
    "https://www.linkedin.com/posts/williamhgates_an-hiv-diagnosis-used-to-be-a-death-sentence-activity-7481487214355488768-jvpv"
  ],
  "maxItems": 20
}
````

### A record designed for content research

#### Post content

| Field | Type | Description |
| --- | --- | --- |
| `post_url` | string | LinkedIn post URL used to fetch this record. |
| `type` | string | Schema.org content type of the post, e.g. VideoObject or SocialMediaPosting. |
| `name` | string | Full title/name of the post, including author and comment count. |
| `text` | string | Full post text. |
| `headline` | string | Short headline text for the post. |
| `description` | string | Short summary/description text for the post. |
| `url` | string | Canonical LinkedIn URL for the post. |

#### Author

| Field | Type | Description |
| --- | --- | --- |
| `author` | object | Post author name, URL, and type. |
| `published_at` | string | When the post was published. |

#### Engagement

| Field | Type | Description |
| --- | --- | --- |
| `reactions` | number | Total reaction count. |
| `reaction_types` | array | Distinct reaction types present on the post. |
| `comment_count` | number | Total comment count. |
| `comments` | array | Visible comments with author, text, and likes. |

#### Media

| Field | Type | Description |
| --- | --- | --- |
| `content_url` | string | Direct media URL for the post's primary asset. |
| `video_urls` | array | Video URLs at different resolutions, for video posts. |
| `image_urls` | array | Image URLs, for image posts. |
| `thumbnail` | string | Thumbnail image URL. |
| `duration` | string | Video duration (ISO 8601), for video posts. |
| `embed_url` | string | Embeddable URL for the post. |
| `upload_date` | string | Video upload date, for video posts. |
| `keywords` | string | Keywords associated with the post. |
| `shared_content` | mixed | Shared/reposted content, when the post is a repost. |
| `jsonld` | object | Structured schema.org data embedded in the page. |

#### Condensed post output

```json
{
  "post_url": "https://www.linkedin.com/posts/williamhgates_an-hiv-diagnosis-used-to-be-a-death-sentence-activity-7481487214355488768-jvpv",
  "type": "VideoObject",
  "text": "An HIV diagnosis used to be a death sentence. But with recent discoveries and a potential cure in the works, we're closer than ever to a world where no one dies of AIDS.",
  "author": {
    "name": "Bill Gates",
    "url": "https://www.linkedin.com/in/williamhgates"
  },
  "reactions": 3761,
  "comment_count": 492
}
```

I would use this dataset for campaign archives, executive-content review, or qualitative research—not as a substitute for permission when republishing someone else's material.

### Batch pricing

This Actor uses Apify pay-per-result pricing. You are charged for successful dataset results according to the Actor pricing shown on the Apify Pricing tab. Enrichment may add extra billable events when enabled.

Apify's free credits may cover small test runs and up to the free result allowance configured for the Actor.

Start with a low maxItems value before enabling enrichment for large runs.

### Responsible collection and reuse

This Actor extracts publicly available LinkedIn profile information. It should not be used to collect private account data, bypass access controls, or contact people in ways that violate privacy laws, LinkedIn terms, or your own compliance obligations. If you are unsure, consult a qualified lawyer.

### Run this Actor from code

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_API_TOKEN")
run = client.actor("thenetaji/linkedin-post-scraper").call(run_input={
    "post_url": [
        "https://www.linkedin.com/posts/williamhgates_an-hiv-diagnosis-used-to-be-a-death-sentence-activity-7481487214355488768-jvpv"
    ],
    "maxItems": 20
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

#### Node.js

```javascript
import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_APIFY_API_TOKEN" });
const run = await client.actor("thenetaji/linkedin-post-scraper").call({
  "post_url": [
    "https://www.linkedin.com/posts/williamhgates_an-hiv-diagnosis-used-to-be-a-death-sentence-activity-7481487214355488768-jvpv"
  ],
  "maxItems": 20
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### Follow the author or organization

- [LinkedIn Profile Scraper](https://apify.com/thenetaji/linkedin-profile-scraper) — Fetch full public LinkedIn profile details — headline, location, about, work history, education, articles, and activity — for one or more usernames or profile URLs.
- [LinkedIn Company Scraper](https://apify.com/thenetaji/linkedin-company-scraper) — Fetch full public LinkedIn company page details — industry, size, headquarters, specialties, similar and affiliated pages, and recent updates — for one or more company handles or URLs.
- [LinkedIn Related User Scraper](https://apify.com/thenetaji/linkedin-related-user-scraper) — Extract related LinkedIn profile suggestions from one or more seed profiles, with optional full profile enrichment for each related user.

### Report an edge case

Use the Issues tab on the Actor page for bug reports, missing fields, and feature requests.

# Actor input Schema

## `post_url` (type: `array`):

LinkedIn post, activity, or /pulse/ article URLs to fetch post details for.

## `maxItems` (type: `integer`):

Maximum number of posts to fetch. Set to 0 for no item limit.

## Actor input object example

```json
{
  "post_url": [
    "https://www.linkedin.com/posts/sundarpichai_thank-you-to-stanford-president-jon-levin-activity-7445556013572734976-dB0L"
  ],
  "maxItems": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all scraped data

# 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 = {
    "post_url": [
        "https://www.linkedin.com/posts/sundarpichai_thank-you-to-stanford-president-jon-levin-activity-7445556013572734976-dB0L"
    ],
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thenetaji/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 = {
    "post_url": ["https://www.linkedin.com/posts/sundarpichai_thank-you-to-stanford-president-jon-levin-activity-7445556013572734976-dB0L"],
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thenetaji/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 '{
  "post_url": [
    "https://www.linkedin.com/posts/sundarpichai_thank-you-to-stanford-president-jon-levin-activity-7445556013572734976-dB0L"
  ],
  "maxItems": 20
}' |
apify call thenetaji/linkedin-post-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "LinkedIn Post Scraper",
        "description": "Fetch full public LinkedIn post details — text, author, reactions, comments, and media — for one or more post, activity, or article URLs.",
        "version": "0.1",
        "x-build-id": "mZsK01eyF1KkQi2bd"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/thenetaji~linkedin-post-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-thenetaji-linkedin-post-scraper",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/thenetaji~linkedin-post-scraper/runs": {
            "post": {
                "operationId": "runs-sync-thenetaji-linkedin-post-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/thenetaji~linkedin-post-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-thenetaji-linkedin-post-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "post_url"
                ],
                "properties": {
                    "post_url": {
                        "title": "LinkedIn post URLs",
                        "type": "array",
                        "description": "LinkedIn post, activity, or /pulse/ article URLs to fetch post details for.",
                        "items": {
                            "type": "string"
                        },
                        "default": [
                            "https://www.linkedin.com/posts/williamhgates_an-hiv-diagnosis-used-to-be-a-death-sentence-activity-7481487214355488768-jvpv"
                        ]
                    },
                    "maxItems": {
                        "title": "Max results",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of posts to fetch. Set to 0 for no item limit.",
                        "default": 100
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```