Pricing

from $0.10 / 1,000 job results

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⚡️Rapid Linkedin Jobs Scraper

Try for free

🔥$0.10/1K jobs. Advanced filters, 23 data fields, JSON/CSV/Excel export, cron schedules, webhooks and MCP for AI agents. Scrape Linkedin job postings without login cookies. Cost Effective Linkedin Jobs API for recruiting, job boards, lead generation and AI agents.

Pricing

from $0.10 / 1,000 job results

Rating

4.0

(30)

Developer

Umesh Patidar

Actor stats

154

Bookmarked

16K

Total users

574

Monthly active users

3.4 hours

Issues response

7 hours ago

Last modified

Categories

Jobs

Automation

Developer tools

You can access the ⚡️Rapid Linkedin Jobs 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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      "inputSchema": {
        "type": "object",
        "properties": {
          "jobs_titles": {
            "title": "Job Titles / Keywords",
            "type": "array",
            "description": "Job titles to search for (e.g., 'Software Engineer', 'Data Scientist'). The scraper runs a search for each title and merges the results.",
            "items": {
              "type": "string"
            }
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Enter a broad location (e.g., 'Worldwide', 'Europe', 'Canada') or a full search string (e.g., 'San Francisco, CA')."
          },
          "include_job_details": {
            "title": "Include Full Job Details",
            "type": "boolean",
            "description": "Open each job's page to add the full description, seniority, employment type, industries, applicants, salary and Easy Apply. Turn it off for a cheaper and faster run with listing data only: job ID & link, title, company name/URL/logo, location, posted date and hiring badge.\n\nSee the [Output Fields](https://apify.com/worldunboxer/rapid-linkedin-scraper#-output-fields) section of the README for the full list.",
            "default": true
          },
          "posted_within": {
            "title": "Job Posting Time",
            "enum": [
              "Any Time",
              "Past 24 hours",
              "Past Week",
              "Past Month"
            ],
            "type": "string",
            "description": "Only return jobs posted within this period. To use a custom time window, leave this field unset."
          },
          "easy_apply": {
            "title": "Easy Apply Only",
            "type": "boolean",
            "description": "Filter for jobs with simplified application",
            "default": false
          },
          "early_applicant_only": {
            "title": "Early Applicant Only",
            "type": "boolean",
            "description": "Only jobs LinkedIn marks \"Be an early applicant\"",
            "default": false
          },
          "include_contact_details": {
            "title": "Include Contact Details",
            "type": "boolean",
            "description": "Requires Include Full Job Details. Also return contact details the poster wrote in the job description. These are personal data: enable only if you have a lawful basis under the laws that apply to you. See Legal and compliance in the README.",
            "default": false
          },
          "jobs_entries": {
            "title": "Number of Jobs Entries you want",
            "minimum": 10,
            "maximum": 100000,
            "type": "integer",
            "description": "Number of jobs you want to scrape.",
            "default": 1000
          },
          "company_names": {
            "title": "Company Names",
            "type": "array",
            "description": "Only search for these companies",
            "items": {
              "type": "string"
            }
          },
          "cities": {
            "title": "Cities",
            "type": "array",
            "description": "Optional. List specific cities to search (e.g., 'London', 'Manchester'). The scraper searches each city on its own, without the 'Location' field. If several places share a name, add the state or country (e.g., 'Birmingham, Alabama').",
            "items": {
              "type": "string"
            }
          },
          "distance": {
            "title": "Distance (miles)",
            "minimum": 1,
            "type": "integer",
            "description": "Optional. Search radius in miles around the Location, Cities or Location IDs (e.g., 5, 25, 100). Leave empty for LinkedIn's default (25 miles)."
          },
          "search_urls": {
            "title": "Search URLs",
            "type": "array",
            "description": "Optional. Paste LinkedIn job search URLs (e.g. 'https://www.linkedin.com/jobs/search-results/?keywords=Software%20Engineer&geoId=101389470') instead of filling in the search fields. Include Full Job Details, Number of Jobs, Jobs per URL and Exclude Job IDs still apply.",
            "items": {
              "type": "string"
            }
          },
          "jobs_per_url": {
            "title": "Jobs per URL",
            "minimum": 10,
            "maximum": 100000,
            "type": "integer",
            "description": "Optional. Used with Search URLs: the most unique jobs to take from each address. Number of Jobs Entries still caps the whole run. Leave empty for no per-address limit."
          },
          "geo_ids": {
            "title": "Location IDs",
            "type": "array",
            "description": "Optional. LinkedIn location IDs (numbers, e.g. '101389470') to search directly, without looking up a name. An ID can be a city, region or country. Combined with 'Cities': the places from both lists are searched, each on its own. A location's ID is the number after 'geoId=' in the address of a LinkedIn jobs search for that location.",
            "items": {
              "type": "string"
            }
          },
          "company_ids": {
            "title": "Company IDs",
            "type": "array",
            "description": "Optional. LinkedIn company IDs (numbers, e.g. '1337') to search directly, without looking up a name. Combined with 'Company Names': the companies from both lists are searched. A company's ID is the number after 'f_C=' in the address of a LinkedIn jobs search filtered by that company.",
            "items": {
              "type": "string"
            }
          },
          "exclude_job_ids": {
            "title": "Exclude Job IDs",
            "type": "array",
            "description": "Optional. LinkedIn job IDs (numbers, e.g. '4419969671') to leave out. These jobs are skipped entirely: not returned, and not charged. Pass the job IDs of a previous run to receive only new jobs.",
            "items": {
              "type": "string"
            }
          },
          "job_post_time": {
            "title": "Custom Job Post Time",
            "type": "string",
            "description": "Optional custom posting window, used only when 'Job Posting Time' is not set.\n\nEnter the time in seconds as a positive whole number (e.g., 86400 for 1 day, 172800 for 2 days)."
          }
        }
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              "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"
              },
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                "type": "string",
                "example": "READY"
              },
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                "type": "object",
                "properties": {
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                    "type": "string",
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                  },
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                }
              },
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                    "example": 0
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                    "type": "integer",
                    "example": 0
                  },
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              },
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                "properties": {
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                    "type": "string",
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                    "type": "integer",
                    "example": 300
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                "type": "string",
                "example": "1.0.0"
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                "type": "string"
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              "usage": {
                "type": "object",
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                    "type": "integer",
                    "example": 0
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                  "DATASET_READS": {
                    "type": "integer",
                    "example": 0
                  },
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                    "type": "integer",
                    "example": 0
                  },
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                    "type": "integer",
                    "example": 0
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                  "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
                  },
                  "PROXY_UNBLOCKER_UNITS": {
                    "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
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                    "type": "integer",
                    "example": 0
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                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
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                  "KEY_VALUE_STORE_LISTS": {
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                    "example": 0
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}

Rapid LinkedIn Jobs Scraper & API 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 ⚡️Rapid Linkedin Jobs 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:

⚡️Rapid Linkedin Jobs Scraper API in Python

⚡️Rapid Linkedin Jobs Scraper API in JavaScript

⚡️Rapid Linkedin Jobs Scraper API through CLI

⚡️Rapid Linkedin Jobs Scraper API

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Access our real-time LinkedIn Jobs database with over 10 million new jobs per month. With detailed company data, recruiter data, and AI enrichments! Get exact results with our advanced filters on title, description, location, company description, no. of employees, industry. Powered by Fantastic.jobs

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orgupdate/google-jobs-scraper

The latest and most advanced Google Job Scraper. Our Indeed, LinkedIn, and Google Jobs Scraper rolled into one. This scraper extracts real-time job postings at scale from any active Google Jobs search results from all over the world a research tool built for recruitment, insights, HR and Claude AI.

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orgupdate/linkedin-jobs-scraper

The latest and most advanced LinkedIn Job Scraper. Our LinkedIn Jobs Scraper extracts real-time job postings at scale from all over the world. A new research tool built for recruitment, insights and HR.

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