# Naukri Job Scraper (`curious_coder/naukri-job-scraper`) Actor Collect job listings from Naukri.com search results — title, company, salary, experience, location, skills and more. - **URL**: https://apify.com/curious\_coder/naukri-job-scraper.md - **Developed by:** [Curious Coder](https://apify.com/curious_coder) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.10 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Job Scraper Collect job listings from **Naukri.com** in one click. Give it a Naukri search results link and it returns a clean, structured list of jobs — ready to download as JSON, CSV, or Excel. Great for job seekers tracking openings, recruiters sourcing candidates, and anyone analysing the job market. ### What you get For every job, the scraper returns: | Field | Description | |-------|-------------| | `title` | Job title | | `company` | Company name | | `experience` | Required experience (e.g. `1-3 Yrs`) | | `salary` | Salary, or "Not disclosed" | | `location` | Job location | | `skills` | List of required skills | | `description` | Short job description | | `postedLabel` | When it was posted (e.g. `21 Days Ago`) | | `createdDate` | Posting date | | `rating` | Company rating | | `reviewsCount` | Number of company reviews | | `url` | Direct link to the job posting | | `keyword` | The role you searched for | ### How to use it 1. Go to [naukri.com](https://www.naukri.com) and search for the role you want. 2. Apply any filters you like — experience, salary, location, work-from-home, etc. 3. Copy the page link from your browser's address bar. 4. Paste it into the **Search page links** field and click **Start**. You can add multiple links to scrape several searches in one run. #### Example Search link: ```` https://www.naukri.com/full-stack-jobs?k=full stack\&experience=1 ```` Sample result: ```json { "title": "Java Full Stack Developer", "company": "Reliance Power", "experience": "1-3 Yrs", "salary": "Not disclosed", "location": "Mumbai", "skills": ["Java", "PHP", ".Net", "MongoDB", "SQL Server"], "postedLabel": "21 Days Ago", "rating": "4.1", "url": "https://www.naukri.com/job-listings-java-full-stack-developer-..." } ```` ### Settings | Setting | Description | Default | |---------|-------------|---------| | **Search page links** | One or more Naukri search result page links. | example link | | **Max pages per link** | How many result pages to collect per link (~20 jobs/page). | 5 | | **Max jobs per link** | Maximum jobs to collect per link. | 100 | ### Output Results are saved to the run's **dataset**. Download them as **JSON**, **CSV**, **Excel**, or **HTML** from the run's *Storage* tab, or fetch them through the Apify API. ### Tips - The more specific your search and filters, the more relevant the results. - Add several links to compare roles, locations, or experience levels in one run. - Increase **Max pages per link** to go deeper into the results. ### FAQ **Do I need any setup or accounts?** No. Just paste a search link and run it. **Can I scrape multiple searches at once?** Yes — add as many search links as you want. **How many jobs can I get?** As many as the search returns, up to the limits you set in the settings. # Actor input Schema ## `startUrls` (type: `array`): Links to Naukri search result pages. Open naukri.com, search for a role (and apply any filters you want, like experience, salary or location), then copy the page link from your browser and paste it here. ## `maxPagesPerUrl` (type: `integer`): How many result pages to collect per search link. Each page has about 20 jobs. ## `maxJobsPerUrl` (type: `integer`): Maximum number of jobs to collect per search link. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.naukri.com/full-stack-jobs?k=full stack&experience=1" } ], "maxPagesPerUrl": 5, "maxJobsPerUrl": 100 } ``` # 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 = { "startUrls": [ { "url": "https://www.naukri.com/full-stack-jobs?k=full stack&experience=1" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("curious_coder/naukri-job-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 = { "startUrls": [{ "url": "https://www.naukri.com/full-stack-jobs?k=full stack&experience=1" }] } # Run the Actor and wait for it to finish run = client.actor("curious_coder/naukri-job-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 '{ "startUrls": [ { "url": "https://www.naukri.com/full-stack-jobs?k=full stack&experience=1" } ] }' | apify call curious_coder/naukri-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=curious_coder/naukri-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Naukri Job Scraper", "description": "Collect job listings from Naukri.com search results — title, company, salary, experience, location, skills and more.", "version": "1.0", "x-build-id": "amkCNN1Lt6VHFrPI7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/curious_coder~naukri-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-curious_coder-naukri-job-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/curious_coder~naukri-job-scraper/runs": { "post": { "operationId": "runs-sync-curious_coder-naukri-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/curious_coder~naukri-job-scraper/run-sync": { "post": { "operationId": "run-sync-curious_coder-naukri-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Search page links", "type": "array", "description": "Links to Naukri search result pages. Open naukri.com, search for a role (and apply any filters you want, like experience, salary or location), then copy the page link from your browser and paste it here.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPagesPerUrl": { "title": "Max pages per link", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many result pages to collect per search link. Each page has about 20 jobs.", "default": 5 }, "maxJobsPerUrl": { "title": "Max jobs per link", "minimum": 1, "type": "integer", "description": "Maximum number of jobs to collect per search link.", "default": 100 } } }, "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 } } } } } } } } } } ```