Naukrigulf Scraper
Pricing
$0.80 / 1,000 results
Go to Apify Store
Naukrigulf Scraper
Scrape public Naukrigulf jobs by keyword, location, search URL, or job URL. Export descriptions, salary, experience, employer details, and posting dates.
Naukrigulf Scraper
Pricing
$0.80 / 1,000 results
Scrape public Naukrigulf jobs by keyword, location, search URL, or job URL. Export descriptions, salary, experience, employer details, and posting dates.
You can access the Naukrigulf Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "ibyqPR0rIMgybElyV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mlg14~naukrigulf-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mlg14-naukrigulf-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/mlg14~naukrigulf-scraper/runs": { "post": { "operationId": "runs-sync-mlg14-naukrigulf-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/mlg14~naukrigulf-scraper/run-sync": { "post": { "operationId": "run-sync-mlg14-naukrigulf-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": { "query": { "title": "Job keywords", "type": "string", "description": "Search terms such as software engineer or accountant. Separate multiple searches with commas. Leave empty to browse the selected location." }, "location": { "title": "Location", "type": "string", "description": "City or country to search, such as Dubai, Riyadh, or UAE. Empty searches all locations." }, "startUrls": { "title": "Search or job URLs", "type": "array", "description": "Public naukrigulf.com search URLs with Keywords and Location parameters, or canonical job URLs.", "items": { "type": "string" } }, "jobUrls": { "title": "Direct job URLs", "type": "array", "description": "Canonical naukrigulf.com job URLs containing a -jid- number. These are fetched directly.", "items": { "type": "string" } }, "maxResults": { "title": "Maximum results", "minimum": 0, "maximum": 5000, "type": "integer", "description": "Maximum number of unique jobs across all searches and URLs. Zero removes the actor cap.", "default": 100 }, "datePosted": { "title": "Posted within days", "minimum": 1, "maximum": 60, "type": "integer", "description": "Use the site's freshness filter. Supported values are 1, 3, 7, 15, 30, and 60 days. Leave empty for all dates." }, "experienceYears": { "title": "Experience in years", "minimum": 0, "maximum": 50, "type": "integer", "description": "Search jobs accepting this number of years of experience. Leave empty for all levels." }, "sortBy": { "title": "Sort results", "enum": [ "relevance", "date" ], "type": "string", "description": "Use the site's relevance order or request newest jobs first.", "default": "relevance" }, "includeDetails": { "title": "Fetch job details", "type": "boolean", "description": "Fetch each job's detail record for salary, candidate requirements, employment type, and contact fields.", "default": true }, "descriptionMaxLength": { "title": "Description length", "minimum": 0, "type": "integer", "description": "Maximum characters in the plain-text description. Zero retains the full text; HTML is always retained.", "default": 0 }, "compact": { "title": "Compact results", "type": "boolean", "description": "Return only identifiers, title, company, location, date, URL, salary, and search term.", "default": false }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Network configuration for source requests.", "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 }, "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 }, "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 } } } } } } } } }}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 Naukrigulf Scraper from the options below:
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: