Pricing

$19.99/month + usage

LinkedIn Post Scraper

📝 LinkedIn Post Scraper (linkedin-post-scraper) extracts public LinkedIn posts—text, author, timestamp, reactions, comments, shares, hashtags, links & media. 📊 Perfect for social listening, competitor research, content strategy and lead gen. ⚡ Fast, accurate, export-ready.

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

ScrapeMesh

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Automation

Lead generation

Jobs

You can access the LinkedIn Post 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": "0.2",
    "x-build-id": "ypdDXAkhlLkmMtc5a"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/scrapemesh~linkedin-post-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-scrapemesh-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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/scrapemesh~linkedin-post-scraper/runs": {
      "post": {
        "operationId": "runs-sync-scrapemesh-linkedin-post-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/scrapemesh~linkedin-post-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-scrapemesh-linkedin-post-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": [
          "urls"
        ],
        "properties": {
          "urls": {
            "title": "🔗 Source URLs (required)",
            "type": "array",
            "description": "📎 Add LinkedIn company or person profile URLs to scrape — one or many!",
            "items": {
              "type": "string"
            }
          },
          "limitPerSource": {
            "title": "📊 Limit per source",
            "minimum": 1,
            "type": "integer",
            "description": "🎯 How many posts to collect from each URL. More = more data!",
            "default": 10
          },
          "scrapeUntil": {
            "title": "📅 Scrape until date",
            "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$",
            "type": "string",
            "description": "🗓️ Filter posts — only include content from this date onwards. Pick from calendar!"
          },
          "deepScrape": {
            "title": "🔍 Scrape additional information",
            "type": "boolean",
            "description": "✨ Get richer data — more metadata & engagement details. Recommended! 👍",
            "default": true
          },
          "rawData": {
            "title": "📦 Get raw data (Advanced)",
            "type": "boolean",
            "description": "🔧 For power users — include extra raw data in output. Turn off for cleaner results.",
            "default": false
          },
          "proxyConfiguration": {
            "title": "🌐 Proxy configuration",
            "type": "object",
            "description": "🛡️ Optional — use proxy for better reliability & to avoid rate limits."
          }
        }
      },
      "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 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 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 Scraper API in Python

LinkedIn Post Scraper API in JavaScript

LinkedIn Post Scraper API through CLI

LinkedIn Post Scraper API

Linkedin Post Scraper

scrapelabsapi/linkedin-post-scraper

📝 LinkedIn Post Scraper (linkedin-post-scraper) extracts public posts: text, author, date, reactions, comments, shares, hashtags & media URLs. 📊 Ideal for content research, competitor tracking, social listening & lead gen. ⚡ Fast, reliable, CSV/JSON-ready. #LinkedIn

ScrapeLabs

LinkedIn Post Scraper

scrapeengine/linkedin-post-scraper

📝 LinkedIn Post Scraper (linkedin-post-scraper) extracts post text, author, date, reactions, comments, shares, media, links & hashtags. 🔍 Ideal for content research, social listening, competitor analysis & lead gen. 📊 Fast, scalable, API-ready JSON/CSV exports. 🚀

ScrapeEngine

Linkedin Profile Post Scraper

api-empire/linkedin-profile-post-scraper

🔎 LinkedIn Profile Post Scraper pulls posts from public profiles—text, media, timestamps, reactions, comments, shares, links & hashtags. ⚙️ API-ready; export CSV/JSON. 🚀 Ideal for social listening, competitor analysis, content research & lead gen.

API Empire

LinkedIn Post Scraper

api-empire/linkedin-post-scraper

LinkedIn Post Scraper extracts posts from public LinkedIn profiles, pages, or companies. Capture text, media, timestamps, reactions, comments, and engagement metrics. Ideal for research, competitor tracking, content analysis, and workflows needing structured LinkedIn post data.

API Empire

Linkedin Company Post Scraper

api-empire/linkedin-company-post-scraper

API Empire

Linkedin Post Scraper

scraper-engine/linkedin-post-scraper

💼 LinkedIn Post Scraper extracts public LinkedIn posts from profile or company profile with text, media, reactions, comments & author info. 🚀 Ideal for market research, content analysis & lead generation. Export data in JSON, CSV, or Excel.

Scraper Engine

426

5.0

Linkedin Profile Post Scraper

scrapeengine/linkedin-profile-post-scraper

🧑‍💼 LinkedIn Profile Post Scraper extracts public posts from any profile—text, timestamps, reactions, comments, links & media. ⚙️ Ideal for content analytics, social listening, lead gen, recruiting & competitor tracking. 🚀 Fast, reliable, CSV/JSON-ready.

ScrapeEngine

Linkedin Post Scraper

simpleapi/linkedin-post-scraper

LinkedIn Post Scraper extracts data from LinkedIn posts, including text, images, videos, author details, engagement metrics, timestamps, and external links. Ideal for content analysis, monitoring trends, social listening, and automating structured LinkedIn post data collection

SimpleAPI

Linkedin Post Scraper

scrapapi/linkedin-post-scraper

Extract data from LinkedIn posts using this scraper. Collect post text, author details, post URLs, likes, comments, shares, and timestamps. Useful for content research, lead generation, brand monitoring, competitor analysis, and tracking engagement on LinkedIn posts.

ScrapAPI

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