Under maintenance

Pricing

Pay per event

Try for free

Go to Apify Store

LinkedIn People Watcher 🕶️ ✅

Under maintenance

Try for free

Monitor LinkedIn profiles for signals like job changes, new posts, and topic-specific posts. Sends email notifications when changes are detected. Uses LLM-based intelligent change detection.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Pratik Dani

Actor stats

Bookmarked

Total users

Monthly active users

6 months ago

Last modified

Categories

Social media

Automation

You can access the LinkedIn People Watcher 🕶️ ✅ 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

{
  "openapi": "3.0.1",
  "info": {
    "version": "1.0",
    "x-build-id": "tckpbZpaVddgRrSTa"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/pratikdani~linkedin-people-watcher/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-pratikdani-linkedin-people-watcher",
        "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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/pratikdani~linkedin-people-watcher/runs": {
      "post": {
        "operationId": "runs-sync-pratikdani-linkedin-people-watcher",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/pratikdani~linkedin-people-watcher/run-sync": {
      "post": {
        "operationId": "run-sync-pratikdani-linkedin-people-watcher",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": [
          "profile_urls",
          "signal_configurations",
          "email_recipients"
        ],
        "properties": {
          "profile_urls": {
            "title": "LinkedIn Profile URLs",
            "type": "array",
            "description": "List of LinkedIn profile URLs to monitor (1-100 profiles)",
            "items": {
              "type": "string",
              "pattern": "^https://(www\\.)?linkedin\\.com/in/[a-zA-Z0-9_-]+/?$"
            }
          },
          "signal_configurations": {
            "title": "What to Watch For",
            "minItems": 1,
            "type": "array",
            "description": "Select signals to monitor. Need custom signals? Contact support@datamagnet.co for tailored monitoring solutions (headline changes, location updates, skills tracking, etc.)",
            "items": {
              "type": "string",
              "enum": [
                "job_change",
                "new_post"
              ]
            }
          },
          "email_recipients": {
            "title": "Email Recipients",
            "minItems": 1,
            "type": "array",
            "description": "Where to send notifications",
            "items": {
              "type": "string"
            }
          }
        }
      },
      "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 People Watcher 🕶️ ✅ 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 People Watcher 🕶️ ✅ 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 People Watcher 🕶️ ✅ API in Python

LinkedIn People Watcher 🕶️ ✅ API in JavaScript

LinkedIn People Watcher 🕶️ ✅ API through CLI

LinkedIn People Watcher 🕶️ ✅ API

GitHub Repository Scraper

fresh_cliff/github-scraper

This actor scrapes detailed information from GitHub repositories using reliable HTTP requests and HTML parsing. It extracts repository metadata including star counts, fork counts, topics/tags, license information, primary programming language, and last updated timestamps.

Brennan Crawford

Profile Reactions Scraper for LinkedIn [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

1.1K

5.0

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

1.6K

5.0

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

5.2K

5.0

Post Reactions Scraper for LinkedIn

apimaestro/linkedin-post-reactions

Scrape all reactions data for a given post

API Maestro

2.1K

5.0

LinkedIn Comments Scraper | Extract Post Engagement Data

benjarapi/linkedin-post-comments

Scrape LinkedIn post comments quickly. Extract text, mentions, nested replies, and reactor profile data. Export to JSON, CSV, or Excel. No accounts/cookies required

Benjar Scraping API

114

5.0

Reddit Scraper - Search Posts & Extract Comments

thilina_jayamal/reddit-scraper

Scrape Reddit posts, search results, and full comment threads with ease. Search Reddit by topic or extract detailed posts and comments from specific URLs, with results available in JSON, CSV, or Excel.

Thilina Jayamal

5.0

LinkedIn Post Reactions Scraper (No Cookies) ✅ (No Cookies)

harvestapi/linkedin-post-reactions

Extract reactions of LinkedIn posts or comments, such as likes, appreciations, etc. No cookies or account required.

HarvestAPI

4.6K

5.0

Xiaohongshu (RedNote) Scraper — Notes, Users & Search

sian.agency/xiaohongshu-rednote-scraper

Xiaohongshu + RedNote (Little Red Book) scraper — note details, user profiles, full note catalogs, comments, search across notes and users. KOL discovery, engagement metrics, lifestyle trend mining for China market research. Six operations, one clean dataset per run. No API key.

SIÁN OÜ

596

5.0

LinkedIn Post Comments Scraper (No Cookies) ✅ (No Cookies)

harvestapi/linkedin-post-comments

Extract LinkedIn post comments or comment replies in bulk, as well as comment social activities such as the number of likes and reactions. No cookies or account required

HarvestAPI

7.4K

4.8