Naukri Jobs Feed
Pricing
from $2.00 / 1,000 results
Go to Apify Store
Naukri Jobs Feed
Scrape job listings from Naukri.com with keyword search, filters, and optional detail enrichment
Naukri Jobs Feed
Pricing
from $2.00 / 1,000 results
Scrape job listings from Naukri.com with keyword search, filters, and optional detail enrichment
You can access the Naukri Jobs Feed programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "1.0", "x-build-id": "onzSJ49eL7Afz6xCT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~naukri-jobs-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-naukri-jobs-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/blackfalcondata~naukri-jobs-feed/runs": { "post": { "operationId": "runs-sync-blackfalcondata-naukri-jobs-feed", "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/blackfalcondata~naukri-jobs-feed/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-naukri-jobs-feed", "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": { "keyword": { "title": "Search Keyword", "type": "string", "description": "Job search keyword (e.g. 'python developer', 'data analyst'). Not required if jobIds is provided." }, "jobIds": { "title": "Job IDs", "type": "array", "description": "Fetch specific jobs by their Naukri job IDs (skips keyword search). Each ID is fetched via the detail API.", "items": { "type": "string" } }, "location": { "title": "Location", "type": "string", "description": "Filter by location (e.g. 'Bangalore', 'Mumbai', 'Delhi')" }, "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of jobs to return (0 = unlimited)", "default": 100 }, "fetchDetails": { "title": "Fetch Full Details", "type": "boolean", "description": "Fetch full job descriptions and additional fields via detail API (slower but richer data)", "default": false }, "incremental": { "title": "Incremental Mode", "type": "boolean", "description": "Only return new or changed jobs since last run (state scoped per keyword+location)", "default": false }, "compact": { "title": "Compact Output", "type": "boolean", "description": "Return only core fields (jobId, title, company, location, salary, experience, skills, createdDate, portalUrl, description). Ideal for AI agents and MCP workflows.", "default": false }, "descriptionMaxLength": { "title": "Description Max Length", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Truncate job descriptions to this many characters (0 or empty = no truncation)" }, "experienceMin": { "title": "Minimum Experience (years)", "minimum": 0, "maximum": 30, "type": "integer", "description": "Minimum years of experience filter" }, "experienceMax": { "title": "Maximum Experience (years)", "minimum": 0, "maximum": 30, "type": "integer", "description": "Maximum years of experience filter" }, "salary": { "title": "Salary Range (Lakhs)", "enum": [ "0to3", "3to6", "6to10", "10to15", "15to25", "25to50", "50to75", "75to100" ], "type": "string", "description": "Salary range filter in lakhs per annum" }, "workFromHome": { "title": "Work From Home Only", "type": "boolean", "description": "Filter for work-from-home / remote jobs only", "default": false }, "freshness": { "title": "Posted Within (days)", "minimum": 1, "maximum": 30, "type": "integer", "description": "Only show jobs posted within this many days (1, 3, 7, 15, or 30)" }, "maxConcurrency": { "title": "Max Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum number of concurrent requests", "default": 3 }, "maxRequestRetries": { "title": "Max Request Retries", "minimum": 0, "maximum": 10, "type": "integer", "description": "Maximum number of retries per request", "default": 3 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy configuration (not required — the API works without proxy)" } } }, "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 } } }, "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 } } } } } } } } }}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 Naukri Jobs Feed 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: