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LinkedIn Jobs Scraper & Job Alerts API (No Login)

Try for free

Scrape LinkedIn jobs without login: batch titles and locations, date, company, Easy Apply, workplace, job type and seniority filters. Up to 10,000 jobs per run, only-new-jobs alerts that skip and do not charge repeats, full descriptions, applicants and apply links. $0.75 per 1,000 jobs.

Pricing

from $0.75 / 1,000 results

Rating

5.0

(1)

Developer

Cracks API

Actor stats

Bookmarked

Total users

Monthly active users

9 days ago

Last modified

Categories

Lead generation

Jobs

Social media

You can access the LinkedIn Jobs Scraper & Job Alerts API (No Login) 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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    "schemas": {
      "inputSchema": {
        "type": "object",
        "properties": {
          "keywords": {
            "title": "Job title / keywords",
            "type": "string",
            "description": "Single-search shortcut, e.g. 'Python Developer' or a Boolean query. Ignored when Search queries is provided."
          },
          "jobTitles": {
            "title": "Search queries (batch)",
            "maxItems": 10,
            "type": "array",
            "description": "Optional list of job-title or Boolean search queries. Each query is combined with each batch location. When supplied, this overrides Job title / keywords.",
            "items": {
              "type": "string"
            }
          },
          "location": {
            "title": "Location",
            "type": "string",
            "description": "Single-search location, e.g. 'India', 'Bengaluru', 'United States', or 'Remote'. Ignored when Locations is provided."
          },
          "locations": {
            "title": "Locations (batch)",
            "maxItems": 10,
            "type": "array",
            "description": "Optional list of locations. Each location is combined with each search query.",
            "items": {
              "type": "string"
            }
          },
          "companyIds": {
            "title": "Company IDs",
            "maxItems": 10,
            "type": "array",
            "description": "Optional LinkedIn numeric company IDs, e.g. 1035 for Microsoft. Each ID becomes a separate search filter.",
            "items": {
              "type": "string"
            }
          },
          "publishedAt": {
            "title": "Published at",
            "enum": [
              "Any Time",
              "Past Hour",
              "Past 24 Hours",
              "Past Week",
              "Past Month"
            ],
            "type": "string",
            "description": "Only return jobs published within this period.",
            "default": "Any Time"
          },
          "sortBy": {
            "title": "Sort by",
            "enum": [
              "Relevance",
              "Date"
            ],
            "type": "string",
            "description": "Sort LinkedIn search results by relevance or newest posting date.",
            "default": "Relevance"
          },
          "maxRows": {
            "title": "Max results",
            "minimum": 1,
            "maximum": 10000,
            "type": "integer",
            "description": "Maximum total number of unique jobs saved across all search combinations (up to 10,000). LinkedIn public search returns up to about 1,000 jobs per title/location combination, so use several titles or locations for larger datasets.",
            "default": 50
          },
          "onlyNewJobs": {
            "title": "Only new jobs (monitoring mode)",
            "type": "boolean",
            "description": "Skip jobs this monitor already saved in earlier runs. Skipped jobs are not saved and not charged. Ideal for scheduled daily or hourly job alerts.",
            "default": false
          },
          "monitorName": {
            "title": "Monitor name",
            "type": "string",
            "description": "Name for the only-new-jobs memory. Use a different name for each separate alert (for example \"python-india\"). The memory is stored in your own Apify account.",
            "default": "default"
          },
          "easyApplyOnly": {
            "title": "Easy Apply only",
            "type": "boolean",
            "description": "Only return jobs included by LinkedIn's public Easy Apply filter.",
            "default": false
          },
          "workplaceType": {
            "title": "Workplace type",
            "enum": [
              "",
              "On-site",
              "Remote",
              "Hybrid"
            ],
            "type": "string",
            "description": "Strict post-filter using explicit workplace evidence from the title, location, or description. Jobs with unknown workplace type are excluded when selected."
          },
          "jobType": {
            "title": "Employment type",
            "enum": [
              "",
              "Full-time",
              "Part-time",
              "Contract",
              "Temporary",
              "Internship",
              "Volunteer",
              "Other"
            ],
            "type": "string",
            "description": "Strict post-filter using the employment type on each public job-detail page."
          },
          "experienceLevel": {
            "title": "Experience level",
            "enum": [
              "",
              "Internship",
              "Entry level",
              "Associate",
              "Mid-Senior level",
              "Director",
              "Executive",
              "Not Applicable"
            ],
            "type": "string",
            "description": "Strict post-filter using the seniority level on each public job-detail page."
          },
          "enrichDetails": {
            "title": "Enrich job details",
            "type": "boolean",
            "description": "Fetch descriptions in text and HTML, applicant count, criteria, company metadata, and application links. Automatically enabled when a strict post-filter needs details.",
            "default": true
          },
          "maxConcurrency": {
            "title": "Detail request concurrency",
            "minimum": 1,
            "maximum": 10,
            "type": "integer",
            "description": "Concurrent job-detail requests. Lower this if LinkedIn throttles your proxy.",
            "default": 5
          },
          "requestDelayMs": {
            "title": "Delay between batches (ms)",
            "minimum": 0,
            "maximum": 5000,
            "type": "integer",
            "description": "Delay between search pages and concurrent detail batches. Increase if requests are throttled.",
            "default": 300
          },
          "proxyConfiguration": {
            "title": "Proxy configuration",
            "type": "object",
            "description": "Optional Apify proxy configuration. Residential proxies can improve reliability at scale."
          }
        }
      },
      "runsResponseSchema": {
        "type": "object",
        "properties": {
          "data": {
            "type": "object",
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                "type": "string"
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              "userId": {
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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"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
                "properties": {
                  "origin": {
                    "type": "string",
                    "example": "API"
                  },
                  "userAgent": {
                    "type": "string"
                  }
                }
              },
              "stats": {
                "type": "object",
                "properties": {
                  "inputBodyLen": {
                    "type": "integer",
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                  },
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                  },
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                  },
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                  },
                  "computeUnits": {
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                    "example": 0
                  }
                }
              },
              "options": {
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                "properties": {
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                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
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                  "diskMbytes": {
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              },
              "buildId": {
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              "defaultKeyValueStoreId": {
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                    "example": 0
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                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
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                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
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                    "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
                  },
                  "KEY_VALUE_STORE_READS": {
                    "type": "integer",
                    "example": 0
                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "number",
                    "example": 0.00005
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                  "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
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                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
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                    "example": 0
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                    "example": 0
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}

LinkedIn Jobs Scraper - No Login, Job Alerts, $0.75/1K 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 & Job Alerts API (No Login) 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 & Job Alerts API (No Login) API in Python

LinkedIn Jobs Scraper & Job Alerts API (No Login) API in JavaScript

LinkedIn Jobs Scraper & Job Alerts API (No Login) API through CLI

LinkedIn Jobs Scraper & Job Alerts API (No Login) API

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