Pricing

from $4.99 / 1,000 results

LinkedIn Post Comments & Engagements Scraper

💬 LinkedIn Post Comments & Engagements Scraper gathers commenters, comment text, replies, reaction types & counts, timestamps, and profiles from public posts—no cookies needed. ⚡ Perfect for social listening, content strategy, competitor analysis & analytics. 📊 Fast, clean exports.

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

API Empire

Actor stats

Bookmarked

Total users

Monthly active users

4 days ago

Last modified

Categories

Social media

Developer tools

Lead generation

You can access the LinkedIn Post Comments & Engagements Scraper 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": "iWLrQk8HflZcxteWD"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/api-empire~post-comments-engagements-scraper-linkedin/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-api-empire-post-comments-engagements-scraper-linkedin",
        "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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/api-empire~post-comments-engagements-scraper-linkedin/runs": {
      "post": {
        "operationId": "runs-sync-api-empire-post-comments-engagements-scraper-linkedin",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/api-empire~post-comments-engagements-scraper-linkedin/run-sync": {
      "post": {
        "operationId": "run-sync-api-empire-post-comments-engagements-scraper-linkedin",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": [
          "startUrls"
        ],
        "properties": {
          "startUrls": {
            "title": "🔗 Post URLs or IDs (required)",
            "type": "array",
            "description": "📎 Enter one or more LinkedIn post URLs or numeric activity IDs. You can paste full URLs (e.g. https://www.linkedin.com/feed/update/urn:li:activity:123456789/) or just the activity ID (e.g. 123456789). Add multiple entries for bulk scraping — the actor processes each post and saves comments to the dataset. One URL or ID per line. 🚀",
            "items": {
              "type": "string"
            }
          },
          "liAt": {
            "title": "🍪 LinkedIn session cookie (li_at)",
            "type": "string",
            "description": "🔐 Optional. If you want to scrape as a logged-in user, paste your li_at cookie from LinkedIn (get it from your browser dev tools while logged in). Leave this empty to run without login — the actor will still attempt to fetch public comment data. Using a cookie can help with rate limits or access on some posts."
          },
          "pageNumber": {
            "title": "📄 Page Number",
            "minimum": 1,
            "type": "integer",
            "description": "📃 The page number for comment pagination (1-based). Use this if you want to start from a specific page of results. Default is 1 (first page).",
            "default": 1
          },
          "sortOrder": {
            "title": "🔀 Sort order",
            "enum": [
              "REVERSE_CHRONOLOGICAL",
              "RELEVANCE"
            ],
            "type": "string",
            "description": "📊 Choose how comments are sorted for each post. Most recent (default) returns newest comments first (REVERSE_CHRONOLOGICAL). Most relevant returns LinkedIn’s relevance order (RELEVANCE).",
            "default": "REVERSE_CHRONOLOGICAL"
          },
          "resultLimitPerPost": {
            "title": "🎯 Result limit per post",
            "minimum": 1,
            "maximum": 500,
            "type": "integer",
            "description": "📈 Maximum number of comments to fetch per post (1–500). Default is 100. Increase this to get more comments per post; lower it for faster runs or when you only need a sample.",
            "default": 100
          },
          "proxyConfiguration": {
            "title": "🌐 Proxy Configuration",
            "type": "object",
            "description": "🔒 Optional. By default the actor sends requests directly to LinkedIn (no proxy). If LinkedIn blocks or rate-limits, the actor automatically falls back to Apify datacenter proxy, then to residential proxy with up to 3 retries, and sticks with residential for the rest of the run. You can also configure a proxy here to use from the start (e.g. Apify proxy with a specific group). All proxy changes are logged in the run log. 🛡️"
          }
        }
      },
      "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 Post Comments & Engagements Scraper 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 Post Comments & Engagements Scraper 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 Post Comments & Engagements Scraper API in Python

LinkedIn Post Comments & Engagements Scraper API in JavaScript

LinkedIn Post Comments & Engagements Scraper API through CLI

LinkedIn Post Comments & Engagements Scraper API

Post Comments Engagements Scraper Linkedin

scrapapi/post-comments-engagements-scraper-linkedin

LinkedIn Post Comments & Engagements Scraper extracts comments and engagement data from LinkedIn posts. It collects comment text, usernames, timestamps, likes, and reply details. Ideal for audience insights, engagement analysis, social listening, and marketing research.

ScrapAPI

LinkedIn Post Comments Engagements Scraper

scrapier/linkedin-post-comments-engagements-scraper

Extract engagement data from LinkedIn post comments with the LinkedIn Post Comments Engagements Scraper. Collect comment text, author names, profile URLs, likes, timestamps, and replies in structured format. Ideal for social media analysis, audience insights, brand monitoring, and research.

Scrapier

LinkedIn Post Comments Engagements Scraper

simpleapi/post-comments-engagements-scraper-linkedin

Extract engagement insights from LinkedIn posts using the LinkedIn Post Comments Engagements Scraper. Collect post text, comments, reactions, likes, timestamps, and author details automatically. Ideal for social media analytics, brand monitoring, and content performance research.

SimpleAPI

LinkedIn Post, Comments and Engagements Scraper

api-empire/linkedin-post-comments-and-engagements-scraper

Extract detailed engagement data from LinkedIn posts using the LinkedIn Post, Comments and Engagements Scraper. Collect post content, likes, comments, reactions, timestamps, and author details automatically. Ideal for social media research and content performance analysis.

API Empire

LinkedIn Post Comments Engagements Scraper

scrapio/post-comments-engagements-scraper-linkedin

Extract engagement insights from LinkedIn posts using the LinkedIn Post Comments Engagement Scraper. Collect post text, comments, reactions, likes, timestamps, and author details automatically. Ideal for social media analytics and content performance tracking.

Scrapio

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

3.7K

4.8

Post Comments Engagements Scraper Linkedin

scraper-engine/post-comments-engagements-scraper-linkedin

Extract engagement data from LinkedIn post comments using this scraper. Collect commenter names, comment text, likes, replies, timestamps, and profile URLs. Ideal for lead generation, audience insights, brand monitoring, and analyzing discussions on LinkedIn posts.

Scraper Engine

Snapchat Popular Accounts Scraper

scrapio/snapchat-popular-accounts-scraper

Scrapio

Linkedin Post Comments Scraper

scraperforge/linkedin-post-comments-scraper

💬 LinkedIn Post Comments Scraper extracts comments, commenters, job titles, reactions, timestamps, and reply threads from LinkedIn posts. 📊 Ideal for social listening, engagement analysis, content research, and lead gen. ⚡ Fast, reliable, CSV/JSON export.

ScraperForge

LinkedIn Post Comment & Reaction Extractor [NO COOKIES] ✅

unseenuser/linkedin-post-comment-reaction-extractor-no-cookies

Scrape LinkedIn post comments, replies, and reactions at scale. Collects comment text, author profiles, reaction types, reactor details, and timestamps with configurable limits - no LinkedIn login required.