Pricing

$5.00 / 1,000 results

Try for free

Go to Apify Store

Profile Reactions Scraper for LinkedIn [No Cookies]

Try for free

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

Pricing

$5.00 / 1,000 results

Rating

5.0

(6)

Developer

API Maestro

Actor stats

Bookmarked

724

Total users

Monthly active users

0.92 hours

Issues response

a month ago

Last modified

Categories

Social media

Developer tools

You can access the Profile Reactions Scraper for LinkedIn [No Cookies] 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": "0.1",
    "x-build-id": "04uhOK0lDjbZ6vYJe"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/apimaestro~linkedin-profile-reactions/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-apimaestro-linkedin-profile-reactions",
        "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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/apimaestro~linkedin-profile-reactions/runs": {
      "post": {
        "operationId": "runs-sync-apimaestro-linkedin-profile-reactions",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/apimaestro~linkedin-profile-reactions/run-sync": {
      "post": {
        "operationId": "run-sync-apimaestro-linkedin-profile-reactions",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
          "usernames": {
            "title": "Profile Usernames or URLs",
            "minItems": 1,
            "maxItems": 1000,
            "uniqueItems": true,
            "type": "array",
            "description": "List of LinkedIn profile identifiers. You can use either:\n- Usernames (e.g., 'satyanadella')\n- Profile URLs (e.g., 'https://www.linkedin.com/in/satyanadella')\n- Comma-separated values will be split automatically",
            "items": {
              "type": "string"
            }
          },
          "limit": {
            "title": "Result Limit Per Profile",
            "minimum": 1,
            "maximum": 3000,
            "type": "integer",
            "description": "Maximum number of reactions to extract per profile (1-3000). Default is 100 reactions per profile",
            "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
                  }
                }
              }
            }
          }
        }
      }
    }
  }
}

LinkedIn User Reactions Scraper – No Login Needed 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 Profile Reactions Scraper for LinkedIn [No Cookies] 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:

Profile Reactions Scraper for LinkedIn [No Cookies] API in Python

Profile Reactions Scraper for LinkedIn [No Cookies] API in JavaScript

Profile Reactions Scraper for LinkedIn [No Cookies] API through CLI

Profile Reactions Scraper for LinkedIn [No Cookies] API

Linkedin post reactions scraper

curious_coder/linkedin-post-reactions-scraper

Scrape reactions or likes from linkedin post

Curious Coder

601

Post Reactions Scraper for LinkedIn

apimaestro/linkedin-post-reactions

Scrape all reactions data for a given post

API Maestro

1.3K

5.0

LinkedIn Post's Reactions Scraper

freshdata/reaction-scraper

extract detailed reactions data from any profile post

FreshData

Profile Comments Scraper for LinkedIn [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

893

5.0

Profile Posts Scraper for LinkedIn [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

14K

4.3

Post Comments & Engagements Scraper for LinkedIn | No Cookies

apimaestro/linkedin-post-comments-replies-engagements-scraper-no-cookies

Scrape in Batch all LinkedIn post related data including comments, stats, , reactions, replies and media attachments

API Maestro

2.6K

5.0

Mass Profile Posts Scraper for LinkedIn | No Cookies

apimaestro/linkedin-batch-profile-posts-scraper

Scrape in Batch LinkedIn posts from LinkedIn profiles including post content, reactions, comments count, and media attachments

API Maestro

2.4K

4.7

LinkedIn Post Reactions Scraper (No Cookies)⚡$2 per 1k

harvestapi/linkedin-post-reactions

Extract LinkedIn post social activities and reactions such as likes, appreciations, etc. No cookies or account required.

HarvestAPI

1.2K

5.0

Linkedin Post Reactions Scraper (No Cookie)

datadoping/linkedin-post-reactions-scraper-no-cookie

For $1.2 per 1000 reactions. Scraper Likes, Praise, Empathy, Appreciation and Interest of any Linkedin Post using URL or URN. Note: Freemium users are limited to scrape only 4 posts and 100 reactions per run (12 posts in total)

Data Doping

123

5.0

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