# 🏆 Best Cheapest Naukri.com Scrapper 🏆 (`claygenius/cheapest-naukri-com-scrapper`) Actor Scrape job listings from Naukri.com by keyword with filters for experience, location, salary, work mode, and freshness. Structured JSON output with salary, skills, and company ratings. - **URL**: https://apify.com/claygenius/cheapest-naukri-com-scrapper.md - **Developed by:** [Muhammad Shamshad Aslam](https://apify.com/claygenius) (community) - **Categories:** Automation, Jobs, AI - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 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.com Jobs Scraper – Keyword, Location & Filter Search Scrape job listings from **Naukri.com**, India's largest job portal, with full filter support. Get clean, structured JSON with salary, skills, company ratings, and direct apply links — ready for recruitment analysis, market research, lead generation, or your ETL pipeline. ### Key Features - 🔍 **Keyword + location search** — any job title, skill, or keyword, optionally scoped to a city or region - 🎯 **All major Naukri filters** — experience, salary band, work mode (remote/hybrid/office), job freshness, company vs. consultant postings - 📊 **Structured output** — title, company, AmbitionBox rating, salary, experience range, skills, posting date, job URL - 🔁 **Smart pagination with deduplication** — scrapes until your `maxJobs` limit, skips duplicate listings automatically - 📦 **Export anywhere** — JSON, CSV, Excel via the Apify dataset; integrate with Zapier, Make, or Google Sheets ### Input Parameters | Parameter | Type | Description | |---|---|---| | `keyword` | String | **(Required)** Search term, e.g. `software developer`, `data analyst` | | `maxJobs` | Integer | **(Required)** Maximum listings to scrape (default 100) | | `location` | String | City or region, e.g. `bengaluru`, `mumbai`, `delhi ncr` | | `experience` | String | Years of experience, `0`–`30` | | `ctcFilter` | String | Salary band in Lakhs, e.g. `10to15`, `15to25` | | `workMode` | Array | `0` Office, `1` Remote, `2` Temporary WFH, `3` Hybrid | | `freshness` | String | Jobs posted within N days: `1`, `3`, `7`, `15`, `30` | | `jobPostType` | String | `1` Company jobs, `2` Consultant jobs | | `sortBy` | String | Empty = relevance, `f` = freshest first | | `proxyConfig` | Object | Residential proxies, country **IN** recommended | ### Example Input ```json { "keyword": "software developer", "maxJobs": 200, "location": "bengaluru", "experience": "1", "ctcFilter": "10to15", "workMode": ["1", "3"], "freshness": "7", "sortBy": "f", "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN" } } ```` ### Example Output ```json { "jobId": "220126040161", "title": "Software Developer", "company": "Tech Mahindra", "companyId": 2437920, "companyRating": "3.8", "companyReviewsCount": 1259, "experience": "1-6 Yrs", "salary": "10-15 Lacs PA", "location": "Bengaluru, Hyderabad", "postedLabel": "2 Days Ago", "createdDate": "2026-07-10 13:23:19", "skills": ["java", "spring boot", "microservices", "sql"], "descriptionSnippet": "We are hiring experienced Java developers...", "url": "https://www.naukri.com/job-listings-software-developer-...", "companyJobsUrl": "https://www.naukri.com/tech-mahindra-jobs-careers-...", "logoUrl": "https://img.naukimg.com/logo_images/groups/v1/...", "keyword": "software developer" } ``` ### Use Cases - **Recruitment intelligence** — track which companies are hiring for which roles and salaries - **Salary benchmarking** — aggregate compensation data by role, city, and experience level - **Lead generation** — identify companies actively hiring in your target market - **Job market research** — monitor demand trends for skills and technologies - **Job aggregation** — feed listings into your own job board or newsletter ### Notes - Residential proxies with country **IN** are strongly recommended — Naukri serves Indian IPs most reliably. - Data is saved to the default Apify dataset; download as JSON, CSV, or Excel from the Storage tab. # Actor input Schema ## `keyword` (type: `string`): Job title, skill, or keyword (e.g. 'software developer', 'data analyst') ## `maxJobs` (type: `integer`): Maximum number of job listings to scrape ## `maxStalePages` (type: `integer`): Stop when this many consecutive pages return no new jobs (duplicates or empty). Prevents wasted runtime. ## `location` (type: `string`): City or region (e.g. bengaluru, mumbai, delhi ncr). Leave empty for all India. ## `experience` (type: `string`): Required experience in years, 0–30 (e.g. '1'). Leave empty for all. ## `ctcFilter` (type: `string`): Annual salary band filter ## `workMode` (type: `array`): Filter by work-from-home type ## `freshness` (type: `string`): Only jobs posted within N days ## `jobPostType` (type: `string`): Company or consultant job postings ## `sortBy` (type: `string`): Result ordering. Defaults to freshest first. ## `proxyConfig` (type: `object`): Residential proxies recommended (India works best for Naukri). ## Actor input object example ```json { "keyword": "software developer", "maxJobs": 100, "maxStalePages": 2, "ctcFilter": "", "workMode": [], "freshness": "", "jobPostType": "", "sortBy": "f", "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } } ``` # 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 = { "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("claygenius/cheapest-naukri-com-scrapper").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 = { "proxyConfig": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", } } # Run the Actor and wait for it to finish run = client.actor("claygenius/cheapest-naukri-com-scrapper").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 '{ "proxyConfig": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call claygenius/cheapest-naukri-com-scrapper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=claygenius/cheapest-naukri-com-scrapper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🏆 Best Cheapest Naukri.com Scrapper 🏆", "description": "Scrape job listings from Naukri.com by keyword with filters for experience, location, salary, work mode, and freshness. Structured JSON output with salary, skills, and company ratings.", "version": "1.0", "x-build-id": "MaorBIE3ipFZkuajE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/claygenius~cheapest-naukri-com-scrapper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-claygenius-cheapest-naukri-com-scrapper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/claygenius~cheapest-naukri-com-scrapper/runs": { "post": { "operationId": "runs-sync-claygenius-cheapest-naukri-com-scrapper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/claygenius~cheapest-naukri-com-scrapper/run-sync": { "post": { "operationId": "run-sync-claygenius-cheapest-naukri-com-scrapper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keyword", "maxJobs" ], "properties": { "keyword": { "title": "Search Keyword", "type": "string", "description": "Job title, skill, or keyword (e.g. 'software developer', 'data analyst')", "default": "software developer" }, "maxJobs": { "title": "Max Jobs", "type": "integer", "description": "Maximum number of job listings to scrape", "default": 100 }, "maxStalePages": { "title": "Stop After N Stale Pages", "type": "integer", "description": "Stop when this many consecutive pages return no new jobs (duplicates or empty). Prevents wasted runtime.", "default": 2 }, "location": { "title": "Location", "type": "string", "description": "City or region (e.g. bengaluru, mumbai, delhi ncr). Leave empty for all India." }, "experience": { "title": "Experience (years)", "type": "string", "description": "Required experience in years, 0–30 (e.g. '1'). Leave empty for all." }, "ctcFilter": { "title": "Salary Range (Lakhs)", "enum": [ "", "0to3", "3to6", "6to10", "10to15", "15to25", "25to50", "50to75", "75to100" ], "type": "string", "description": "Annual salary band filter", "default": "" }, "workMode": { "title": "Work Mode", "type": "array", "description": "Filter by work-from-home type", "items": { "type": "string", "enum": [ "0", "1", "2", "3" ], "enumTitles": [ "Office", "Remote", "Temporary WFH", "Hybrid" ] }, "default": [] }, "freshness": { "title": "Job Age (days)", "enum": [ "", "1", "3", "7", "15", "30" ], "type": "string", "description": "Only jobs posted within N days", "default": "" }, "jobPostType": { "title": "Posted By", "enum": [ "", "1", "2" ], "type": "string", "description": "Company or consultant job postings", "default": "" }, "sortBy": { "title": "Sort By", "enum": [ "f", "" ], "type": "string", "description": "Result ordering. Defaults to freshest first.", "default": "f" }, "proxyConfig": { "title": "Proxy Configuration", "type": "object", "description": "Residential proxies recommended (India works best for Naukri)." } } }, "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 } } } } } } } } } } ```