# Naukri Jobs Scraper (`moving_beacon-owner1/naukri-jobs-scraper`) Actor Naukri Jobs Scraper collects job listings from Naukri.com search results and returns structured job data including title, company, salary, experience, location, skills, ratings, and posting date. It automatically paginates through search results, includes sponsored jobs with a promotion flag. - **URL**: https://apify.com/moving\_beacon-owner1/naukri-jobs-scraper.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** Jobs, Automation, Developer tools - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Naukri Jobs Scraper (Apify Actor) Scrapes job listings from [Naukri.com](https://www.naukri.com) search results, walking through pages and returning structured job data to an Apify dataset. ### What it extracts Per job card: `title`, `url`, `company`, `company_logo`, `experience`, `salary`, `location`, `description`, `skills` (list), `posted`, `rating`, plus `promoted` (bool), `page`, and the `search_keyword` / `search_location` used. Sponsored/promoted cards are included and flagged. ### Input | Field | Type | Default | Notes | | --- | --- | --- | --- | | `searchKeyword` | string | — | **Required.** e.g. `python developer` | | `location` | string | — | Optional city, e.g. `bangalore` | | `maxPages` | integer | `5` | Pages to walk (~20 jobs/page) | | `maxItems` | integer | `0` | Stop after N jobs (0 = no cap) | | `proxyConfiguration` | object | Apify RESIDENTIAL | Naukri is bot-protected | Example input: ```json { "searchKeyword": "python developer", "location": "bangalore", "maxPages": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` # Actor input Schema ## `searchKeyword` (type: `string`): Job keyword / designation to search, e.g. 'python developer'. ## `location` (type: `string`): City to filter by, e.g. 'bangalore'. Leave empty for all India. ## `maxPages` (type: `integer`): How many result pages to walk (Naukri shows ~20 jobs per page). ## `maxItems` (type: `integer`): Stop after collecting this many jobs. 0 means only maxPages limits it. ## `backend` (type: `string`): How pages are fetched. 'render' uses a headless browser (recommended on Apify). 'http' is fast but returns an empty shell on Naukri. 'stealth' needs SeleniumBase and is mainly for local use. ## `respectRobots` (type: `boolean`): If on, the scraper honors Naukri's robots.txt. Turn off only if you understand the implications. ## `proxyConfiguration` (type: `object`): Naukri is bot-protected; residential proxies strongly recommended. ## Actor input object example ```json { "searchKeyword": "python developer", "maxPages": 5, "maxItems": 0, "backend": "stealth", "respectRobots": false, "proxyConfiguration": { "useApifyProxy": false } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchKeyword": "python developer" }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/naukri-jobs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchKeyword": "python developer" } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/naukri-jobs-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchKeyword": "python developer" }' | apify call moving_beacon-owner1/naukri-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/naukri-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Naukri Jobs Scraper", "description": "Naukri Jobs Scraper collects job listings from Naukri.com search results and returns structured job data including title, company, salary, experience, location, skills, ratings, and posting date. It automatically paginates through search results, includes sponsored jobs with a promotion flag.", "version": "0.0", "x-build-id": "QIth7EX6cTmapF9ZU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~naukri-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-naukri-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~naukri-jobs-scraper/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-naukri-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~naukri-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-naukri-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchKeyword" ], "properties": { "searchKeyword": { "title": "Search keyword", "type": "string", "description": "Job keyword / designation to search, e.g. 'python developer'." }, "location": { "title": "Location (optional)", "type": "string", "description": "City to filter by, e.g. 'bangalore'. Leave empty for all India." }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many result pages to walk (Naukri shows ~20 jobs per page).", "default": 5 }, "maxItems": { "title": "Max items (0 = no limit)", "minimum": 0, "type": "integer", "description": "Stop after collecting this many jobs. 0 means only maxPages limits it.", "default": 0 }, "backend": { "title": "Fetch backend", "enum": [ "render", "http", "stealth" ], "type": "string", "description": "How pages are fetched. 'render' uses a headless browser (recommended on Apify). 'http' is fast but returns an empty shell on Naukri. 'stealth' needs SeleniumBase and is mainly for local use.", "default": "stealth" }, "respectRobots": { "title": "Respect robots.txt", "type": "boolean", "description": "If on, the scraper honors Naukri's robots.txt. Turn off only if you understand the implications.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Naukri is bot-protected; residential proxies strongly recommended.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```