LinkedIn Profile Engagement Scraper (Company and Profile)

Pricing

$30.00/month + usage

LinkedIn Profile Engagement Scraper (Company and Profile)

A powerful Apify actor to extract post-engagement metrics from LinkedIn profiles. Gather likes, comments, reposts, and more for data-driven insights. Boost your social media strategy today!

Pricing

$30.00/month + usage

Rating

0.0

(0)

Developer

Ahmed Khaled Ali

Maintained by Community

Actor stats

Bookmarked

229

Total users

Monthly active users

5.4 hours

Issues response

a month ago

Last modified

Categories

Automation

Jobs

Social media

You can access the LinkedIn Profile Engagement Scraper (Company and Profile) programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "1.0",
    "x-build-id": "X6DLwEnJ9KWUPiRiB"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/ahmed-khaled~linkedin-engagement-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-ahmed-khaled-linkedin-engagement-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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/ahmed-khaled~linkedin-engagement-scraper/runs": {
      "post": {
        "operationId": "runs-sync-ahmed-khaled-linkedin-engagement-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/ahmed-khaled~linkedin-engagement-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-ahmed-khaled-linkedin-engagement-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": [
          "url",
          "cookie"
        ],
        "properties": {
          "url": {
            "title": "URL of the Linkedin profile",
            "type": "string",
            "description": "The URL of Linkedin profile you want to get the data from."
          },
          "cookie": {
            "title": "The Cookie",
            "type": "string",
            "description": "Cookie used to authorize actor with linkedin.com. Install [EditThisCookie](https://chrome.google.com/webstore/detail/editthiscookie/fngmhnnpilhplaeedifhccceomclgfbg) chrome extension. Login to your linkedin.com account. Click on the extension and export the linkedin.com cookies. Insert the contents here"
          },
          "limit": {
            "title": "Limit",
            "type": "integer",
            "description": "Limit the number of scrolls to scrape, approximately one scroll is about two posts."
          }
        }
      },
      "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

LinkedIn Profile Engagement Scraper (Company and Profile) OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for LinkedIn Profile Engagement Scraper (Company and Profile) from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

LinkedIn Profile Engagement Scraper (Company and Profile) API in Python

LinkedIn Profile Engagement Scraper (Company and Profile) API in JavaScript

LinkedIn Profile Engagement Scraper (Company and Profile) API through CLI

LinkedIn Profile Engagement Scraper (Company and Profile) API

Linkedin Profile Comments [NO COOKIES]

apimaestro/linkedin-profile-comments

Linkedin User comments scraper: Extract comments LinkedIn profiles and users including post content, reactions, stats, media attachments and more.

API Maestro

666

5.0

Linkedin Profile Posts Scraper [NO COOKIES]

apimaestro/linkedin-profile-posts

Scrape LinkedIn posts data for a given LinkedIn profile including post content, reactions, comments count, and media attachments

API Maestro

10K

4.8

Linkedin Post Comments Scraper

bestscrapers/linkedin-post-comments-scraper

The **Linkedin Post's Comments Scraper** is a powerful tool designed to extract all comments from any LinkedIn profile post — without the need for cookies or login.

Linkedin Scrapers

155

Linkedin Post Likes Scraper

clothefobia/linkedin-post-likes-scraper

Linkedin Post Likes Scraper-extract Post Likes from any LinkedIn post with our LinkedIn Post Like Scraper. Fast, secure, and no coding required.

clothe fobia

Linkedin Post Like Scraper

bhansalisoft/linkedin-post-like-scraper

Linkedin Post Like Scraper- Easily extract likes detail from any LinkedIn post with our LinkedIn Post Like Scraper. Fast, secure, and no coding required.

bhansalisoft

Linkedin Post Comments Scraper

bhansalisoft/linkedin-post-comments-scraper

Linkedin Post Comments Scraper - Easily extract comments from any LinkedIn post with our LinkedIn Post Comments Scraper. Fast, secure, and no coding required.

bhansalisoft

Linkedin Profile Reactions Scraper (No Cookie)

datadoping/linkedin-profile-reactions-scraper

For just $1.2 per 1,000 reactions, scrape all reactions made by a profile. It scrapes action, text, post, timestamp etc. Note: If you're on free tier you can only scrape 4 profile and 100 reactions per profile per run (12 profiles in total)

Data Doping

5.0

Linkedin Posts Engagers (Likers and Commenters)

scraping_solutions/linkedin-posts-engagers-likers-and-commenters

Extract Likers and Commenters from LinkedIn Posts – 100% Public Data Boost your LinkedIn engagement analysis with this powerful tool that scrapes likers and commenters from public LinkedIn posts without using cookies. Perfect for marketers, recruiters, analysts.

Scraping Solutions

Linkedin Profile Reactions [NO COOKIES]

apimaestro/linkedin-profile-reactions

Linkedin User Reactions Scraper: Extract reactions for LinkedIn profiles and users including post content, reactions, stats, article, media attachments and more.

API Maestro

557

5.0

LinkedIn Profile Reactions Scraper (No Cookies) ✅ $2 per 1k

harvestapi/linkedin-profile-reactions

Extract LinkedIn profile reactions, as well as full post data and social activities. No cookies or account required. Concurrency + fast response times ⚡