You can access the Linkedin Jobs Scraper - Openclaw, MCP native 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

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        "properties": {
          "startUrls": {
            "title": "LinkedIn Search URLs",
            "type": "array",
            "description": "Go to LinkedIn jobs search page (https://www.linkedin.com/jobs/search/), apply your filters, copy the full URL from the address bar and paste here. You can add multiple URLs.",
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
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          },
          "searchKeywords": {
            "title": "Search Keywords (Alternative)",
            "type": "array",
            "description": "Alternative to Start URLs: provide keywords to search (e.g., 'software engineer', 'data scientist'). Will be used only if no Start URLs are provided.",
            "items": {
              "type": "string"
            }
          },
          "searchLocation": {
            "title": "Search Location (Alternative)",
            "type": "string",
            "description": "Location for keyword search (e.g., 'United States', 'London'). Used with Search Keywords."
          },
          "maxItems": {
            "title": "Max Items",
            "minimum": 1,
            "maximum": 10000,
            "type": "integer",
            "description": "Maximum number of job listings to scrape. LinkedIn limits search results to ~1000 per query. Use 'Split search by location' to get more.",
            "default": 200
          },
          "scrapeCompany": {
            "title": "Scrape Company Details",
            "type": "boolean",
            "description": "Scrape additional company information (description, website, employee count). This makes the scraper slower but provides richer data.",
            "default": true
          },
          "scrapeJobDetails": {
            "title": "Scrape Full Job Details",
            "type": "boolean",
            "description": "Fetch full job description, poster info, and application details for each listing. Disabling this only returns card-level data but is much faster.",
            "default": true
          },
          "splitSearchByLocation": {
            "title": "Split Search URLs by Location",
            "type": "boolean",
            "description": "LinkedIn limits results to ~1000 jobs per search. Enable this to automatically split your search into multiple city-level searches within the target country to get more results. Ignores duplicate jobs automatically.",
            "default": false
          },
          "targetCountry": {
            "title": "Target Country (for Split Search)",
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              "",
              "usa",
              "uk",
              "canada",
              "india",
              "germany",
              "france",
              "australia",
              "netherlands",
              "spain",
              "italy",
              "brazil",
              "singapore",
              "japan",
              "uae"
            ],
            "type": "string",
            "description": "Country to split searches by city. Required when 'Split search by location' is enabled.",
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          },
          "datePosted": {
            "title": "Date Posted Filter",
            "enum": [
              "",
              "r86400",
              "r604800",
              "r2592000"
            ],
            "type": "string",
            "description": "On LinkedIn jobs search page, select the Date filter and copy the search URL. Or use this to override.",
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          },
          "proxy": {
            "title": "Proxy Configuration",
            "type": "object",
            "description": "Proxy settings. Residential proxies recommended for best results."
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        }
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                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
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              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
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                "type": "object",
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                  "origin": {
                    "type": "string",
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                  "userAgent": {
                    "type": "string"
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                    "type": "string",
                    "example": "latest"
                  },
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                  },
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                    "example": 1024
                  },
                  "diskMbytes": {
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                "type": "string"
              },
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                "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
                  },
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                    "type": "integer",
                    "example": 0
                  },
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                    "example": 0
                  },
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                    "type": "integer",
                    "example": 0
                  },
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                    "type": "integer",
                    "example": 0
                  }
                }
              },
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                "type": "number",
                "example": 0.00005
              },
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                "type": "object",
                "properties": {
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                    "example": 0
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                    "example": 0
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                    "type": "integer",
                    "example": 0
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                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                    "type": "integer",
                    "example": 0
                  },
                  "PROXY_SERPS": {
                    "type": "integer",
                    "example": 0
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                }
              }
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}

Linkedin Jobs Scraper - Openclaw, MCP native 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 - Openclaw, MCP native 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 - Openclaw, MCP native API in Python

Linkedin Jobs Scraper - Openclaw, MCP native API in JavaScript

Linkedin Jobs Scraper - Openclaw, MCP native API through CLI

Linkedin Jobs Scraper - Openclaw, MCP native API

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Affordable Linkedin Jobs Scraper by url (No cookies)

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Linkedin Jobs Scraper Ppr

silentflow/linkedin-jobs-scraper-ppr

Extract LinkedIn job listings with salary data, company details, descriptions, and 22+ structured fields per job. Search multiple titles across multiple locations with filters for job type, experience, remote work, Easy Apply, and posting date. Multi-title multi-location cross-product search.

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1.0

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yagamiyedan/openclaw-intel

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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

Linkedin Jobs Scraper

majorelle_scissors/linkedin-jobs-scraper

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All-in-One Direct Employer Job Search Scraper PPR

practicaltools/global-jobs-scraper-2

Forget LinkedIn and Indeed. Discover genuine, up-to-date job opportunities from around the world. This actor scrapes jobs directly from company career sites, filters out ghost and scam postings, and lets you search by location, salary, benefits, stack, and more- all in one powerful tool.

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5.0

Workable Jobs Scraper

novus/workable-jobs-scraper

The jobs web scraper is a powerful tool for developers looking to integrate and enrich their platforms with real-time job data. Export job data from Workable with ease. Scrape live data with with a 7-day free trial.

Novus

282

1.0

ATS Universal Job Scraper

maverickpoint/ats-universal-scraper

One scraper for all ATS platforms. Auto-detects Greenhouse, Lever, and Ashby from career URLs. Unified output with skills extraction, classification, change detection, and analytics across 20,000+ companies.