Pricing

from $3.00 / 1,000 job results

Google Jobs Scraper — Salary, Apply Links & MCP-Ready

Extract job listings from Google Jobs. Returns title, company, location, salary (parsed min/max), full description, apply link, employment type & more. MCP/API-ready.

Pricing

from $3.00 / 1,000 job results

Rating

0.0

(0)

Developer

Khadin Akbar

Actor stats

Bookmarked

219

Total users

Monthly active users

2 days ago

Last modified

Categories

Jobs

Lead generation

MCP servers

You can access the Google Jobs Scraper — Salary, Apply Links & MCP-Ready 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": {
          "searchQueries": {
            "title": "Search Queries",
            "type": "array",
            "description": "Use this field when the user provides job titles, skills, or keyword phrases to search. Accepts multiple queries — the actor runs them all in one go. Example: [\"software engineer New York\", \"product manager remote\"]. Use startUrls instead when the user provides a direct Google Jobs URL.",
            "items": {
              "type": "string"
            }
          },
          "startUrls": {
            "title": "Start URLs",
            "type": "array",
            "description": "Use this field when the user provides a specific Google Jobs URL (e.g. https://www.google.com/search?q=nurse&ibp=htl;jobs). Do NOT use this when the user describes a job role or keyword — use searchQueries instead.",
            "items": {
              "type": "object",
              "required": [
                "url"
              ],
              "properties": {
                "url": {
                  "type": "string",
                  "title": "URL of a web page",
                  "format": "uri"
                }
              }
            }
          },
          "maxResults": {
            "title": "Max Results",
            "minimum": 1,
            "maximum": 500,
            "type": "integer",
            "description": "Maximum total number of job listings to extract across all queries. Must be between 1 and 500. Default: 50. Each result costs $0.003 — so 100 results costs $0.30.",
            "default": 50
          },
          "datePosted": {
            "title": "Date Posted Filter",
            "enum": [
              "any",
              "today",
              "3days",
              "week",
              "month"
            ],
            "type": "string",
            "description": "Filter jobs by how recently they were posted. 'any' returns all results. 'today' returns jobs posted in the last 24 hours. 'week' returns jobs from the past 7 days.",
            "default": "any"
          },
          "employmentType": {
            "title": "Employment Type",
            "enum": [
              "any",
              "FULLTIME",
              "PARTTIME",
              "CONTRACTOR",
              "INTERN"
            ],
            "type": "string",
            "description": "Filter by job type. Use 'FULLTIME' for permanent full-time roles, 'PARTTIME' for part-time, 'CONTRACTOR' for contract/freelance work, 'INTERN' for internships. Use 'any' to return all types.",
            "default": "any"
          },
          "remoteOnly": {
            "title": "Remote Jobs Only",
            "type": "boolean",
            "description": "When enabled, appends 'remote' to all search queries and marks all results as is_remote: true. Enable this when the user asks specifically for remote, work-from-home, or WFH jobs.",
            "default": false
          },
          "proxyCountry": {
            "title": "Proxy Country",
            "type": "string",
            "description": "2-letter country code for residential proxy location (e.g. 'US', 'GB', 'CA'). Controls which Google region is scraped. Default: US. Change this to target job markets in other countries.",
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          }
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                "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"
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                  "userAgent": {
                    "type": "string"
                  }
                }
              },
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                "type": "object",
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                  "inputBodyLen": {
                    "type": "integer",
                    "example": 2000
                  },
                  "rebootCount": {
                    "type": "integer",
                    "example": 0
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                    "type": "integer",
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                  "resurrectCount": {
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                    "type": "integer",
                    "example": 2048
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                  "KEY_VALUE_STORE_READS": {
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                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
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                  },
                  "KEY_VALUE_STORE_LISTS": {
                    "type": "integer",
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                  },
                  "REQUEST_QUEUE_READS": {
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                  },
                  "REQUEST_QUEUE_WRITES": {
                    "type": "integer",
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                  "DATA_TRANSFER_INTERNAL_GBYTES": {
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                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
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                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
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                  "PROXY_SERPS": {
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                  },
                  "DATASET_WRITES": {
                    "type": "integer",
                    "example": 0
                  },
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                  "KEY_VALUE_STORE_LISTS": {
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                  "REQUEST_QUEUE_READS": {
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                  "REQUEST_QUEUE_WRITES": {
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                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
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                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
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                  },
                  "PROXY_SERPS": {
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                    "example": 0
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}

Google Jobs Scraper — Salary, Apply Links & MCP-Ready 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 Google Jobs Scraper — Salary, Apply Links & MCP-Ready 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:

Google Jobs Scraper — Salary, Apply Links & MCP-Ready API in Python

Google Jobs Scraper — Salary, Apply Links & MCP-Ready API in JavaScript

Google Jobs Scraper — Salary, Apply Links & MCP-Ready API through CLI

Google Jobs Scraper — Salary, Apply Links & MCP-Ready API

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