Pricing

from $3.00 / 1,000 results

LinkedIn Jobs Scraper (3x faster, No cookies)

Scrape LinkedIn job listings including detailed job information, company details, salary, and requirements. Filter job listings by keywords, location, Date, Experience and more. Best for bulk and large scale extraction in minutes.

Pricing

from $3.00 / 1,000 results

Rating

0.0

(0)

Developer

Anyx Solutions

Actor stats

Bookmarked

Total users

Monthly active users

a month ago

Last modified

Categories

Jobs

Automation

Social media

You can access the LinkedIn Jobs Scraper (3x faster, 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": "1.0",
    "x-build-id": "IIZkrxFInHHeDtRLY"
  },
  "servers": [
    {
      "url": "https://api.apify.com/v2"
    }
  ],
  "paths": {
    "/acts/ayen-data~linkedin-jobs-scraper/run-sync-get-dataset-items": {
      "post": {
        "operationId": "run-sync-get-dataset-items-ayen-data-linkedin-jobs-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": {
                "$ref": "#/components/schemas/inputSchema"
              }
            }
          }
        },
        "parameters": [
          {
            "name": "token",
            "in": "query",
            "required": true,
            "schema": {
              "type": "string"
            },
            "description": "Enter your Apify token here"
          }
        ],
        "responses": {
          "200": {
            "description": "OK"
          }
        }
      }
    },
    "/acts/ayen-data~linkedin-jobs-scraper/runs": {
      "post": {
        "operationId": "runs-sync-ayen-data-linkedin-jobs-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor and returns information about the initiated run in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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": {
                  "$ref": "#/components/schemas/runsResponseSchema"
                }
              }
            }
          }
        }
      }
    },
    "/acts/ayen-data~linkedin-jobs-scraper/run-sync": {
      "post": {
        "operationId": "run-sync-ayen-data-linkedin-jobs-scraper",
        "x-openai-isConsequential": false,
        "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
        "tags": [
          "Run Actor"
        ],
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$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",
        "properties": {
          "startUrls": {
            "title": "Search URLs",
            "type": "array",
            "description": "One or more LinkedIn job search URLs to scrape, for example https://www.linkedin.com/jobs/search/?keywords=software%20engineer&location=United%20States. Leave empty to search using the keywords and location fields instead.",
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
                  "format": "uri"
                }
              }
            }
          },
          "keywords": {
            "title": "Keywords",
            "type": "string",
            "description": "Job title or keywords to search for, for example \"software engineer\". Used when no search URL is provided, or as a fallback for URLs that omit keywords."
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Geographic location to search jobs in, for example \"United States\" or \"London\". Used when no search URL is provided, or as a fallback for URLs that omit a location."
          },
          "experienceLevel": {
            "title": "Experience level",
            "enum": [
              "any",
              "internship",
              "entry",
              "associate",
              "mid-senior",
              "director",
              "executive"
            ],
            "type": "string",
            "description": "Filter results by the required experience level.",
            "default": "any"
          },
          "jobType": {
            "title": "Job type",
            "enum": [
              "any",
              "full-time",
              "part-time",
              "contract",
              "temporary",
              "internship",
              "volunteer"
            ],
            "type": "string",
            "description": "Filter results by employment type.",
            "default": "any"
          },
          "workplaceType": {
            "title": "Workplace type",
            "enum": [
              "any",
              "on-site",
              "remote",
              "hybrid"
            ],
            "type": "string",
            "description": "Filter results by where the work is performed.",
            "default": "any"
          },
          "datePosted": {
            "title": "Date posted",
            "enum": [
              "any",
              "past-month",
              "past-week",
              "past-24h"
            ],
            "type": "string",
            "description": "Filter results by how recently the job was posted.",
            "default": "any"
          },
          "sortBy": {
            "title": "Sort by",
            "enum": [
              "relevance",
              "recent"
            ],
            "type": "string",
            "description": "Order in which matching jobs are returned.",
            "default": "relevance"
          },
          "scrapeJobDetails": {
            "title": "Scrape job details",
            "type": "boolean",
            "description": "When enabled, each job is opened to collect the full description, seniority level, employment type, job function, industries, and applicant count. When disabled, only the data shown on the search results card is collected.",
            "default": true
          },
          "scrapeCompanyDetails": {
            "title": "Scrape company details",
            "type": "boolean",
            "description": "Include the company name, profile URL, and logo for each job.",
            "default": true
          },
          "maxItems": {
            "title": "Maximum jobs per search",
            "minimum": 1,
            "type": "integer",
            "description": "Maximum number of jobs to collect for each search URL or keyword/location search.",
            "default": 5
          },
          "proxyConfiguration": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Proxy settings used for requests. LinkedIn rate-limits aggressively, so running with the Apify Proxy is recommended for reliable results.",
            "default": {
              "useApifyProxy": true
            }
          }
        }
      },
      "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 Jobs Scraper (3x faster, No cookies) 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 Jobs Scraper (3x faster, 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:

LinkedIn Jobs Scraper (3x faster, No cookies) API in Python

LinkedIn Jobs Scraper (3x faster, No cookies) API in JavaScript

LinkedIn Jobs Scraper (3x faster, No cookies) API through CLI

LinkedIn Jobs Scraper (3x faster, No cookies) API

LinkedIn Jobs Scraper

artificially/linkedin-jobs-scraper

Scrape job listings from LinkedIn. Search by keywords, location, job type, experience level, and more. Extract job details, company information, and application links.

Artificially

Job Details Scraper for LinkedIn (No Cookies)

apimaestro/linkedin-job-detail

Extract comprehensive LinkedIn job details including full description, company information, salary insights, and application statistics. Get detailed data from any LinkedIn job ID.

API Maestro

1.6K

5.0

LinkedIn Jobs Scraper

dineshwadhwani/linkedin-jobs-scraper

Scrape LinkedIn job listings by job title, skill, and location. Extract job title, company, location, posting date, job link, and LinkedIn job ID.

Dinesh Kumar Wadhwani

5.0

LinkedIn Job Search Scraper

powerai/linkedin-job-search-scraper

Extract job listings from LinkedIn with detailed metadata including job titles, company information, requirements, and direct URLs. Perfect for job market research, competitor analysis, and talent acquisition.

PowerAI

189

1.0

LinkedIn Jobs Scraper - Professional Job Listings

santamaria-automations/linkedin-scraper

Scrapes public job listings from LinkedIn's job board. Filter by location, job type, experience level, and remote options. Extract company info, job descriptions, and application links. No login required.

NanoScrape

379

3.6

LinkedIn Jobs Scraper

pramodkonde17/linkedin-jobs-scraper

Scrape job listings from LinkedIn's public job search

Pramod Konde

Linkedin Jobs Scraper

scraping_solutions/linkedin-jobs-scraper

LinkedIn Jobs Scraper extracts job listings from LinkedIn using advanced filters like experience level, job type, work mode, company, location, keywords, and date. Ideal for job market analysis and recruitment automation.