# Naukri Job Scraper (`nivlekk/naukri-job-scraper`) Actor Scrape jobs from Naukri.com by keyword, location & experience. Get salary, skills, company ratings and apply links as clean structured JSON. No login or cookies needed. - **URL**: https://apify.com/nivlekk/naukri-job-scraper.md - **Developed by:** [Kelvin Yayra Kwaku Ganyo](https://apify.com/nivlekk) (community) - **Categories:** Developer tools, Jobs, Lead generation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 result scrapeds 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Extract job listings from **Naukri.com** — India's largest job portal — as clean, structured data. Search by keyword, location, and experience, and get back salary, skills, company ratings, posted dates, and direct apply links for every job. No login. No cookies. No CAPTCHA to solve on your end. Just send a search and get JSON. > Built to stay reliable on a site that actively blocks bots — the scraper handles the anti-bot layer for you, so your runs don't silently return empty. ### Why this scraper - **Clean, ready-to-use output** — every job is normalized into consistent fields (see the schema below), with the complete original record kept alongside so you never lose data. - **Company signals included** — employer rating and review count come attached to each job, not just the posting. - **Predictable cost** — pay per result, with a `maxItems` cap so a run never surprises you. - **API, schedule, or integrate** — run it from the Apify API, on a schedule, or pipe results straight into Google Sheets, Make, Zapier, or your own database. ### Use cases - **Job boards & aggregators** — power a jobs site with fresh Naukri listings. - **Recruitment & sourcing** — find companies that are actively hiring for a role or skill. - **Market & salary research** — track hiring demand, in-demand skills, and salary bands over time. - **Lead generation** — surface hiring companies as sales signals, enriched with ratings. ### Input | Field | Type | Description | |---|---|---| | `keyword` | string | Job title, skill, or company — e.g. `python developer` | | `location` | string | City or region — e.g. `bangalore` (optional) | | `experience` | integer | Years of experience to filter by (optional) | | `maxItems` | integer | Stop after this many jobs (default `100`) | | `includeJobDetails` | boolean | Also open each job for its full description, role, industry & education | | `proxyConfiguration` | object | Residential proxy — preset for you, no setup needed | ```json { "keyword": "data scientist", "location": "bangalore", "maxItems": 200 } ```` ### Output One dataset item per job: ```json { "jobId": "171024011437", "title": "Python Developer", "companyName": "Persistent", "companyId": 5929, "location": "Bengaluru", "experience": "3-7 Yrs", "salary": "Not disclosed", "skills": ["python development", "sql", "git", "bootstrap"], "postedDate": "3 Days Ago", "createdDate": "2026-07-20T04:02:57.493Z", "companyRating": "3.5", "companyReviewCount": 5215, "logoUrl": "https://img.naukimg.com/logo_images/groups/v1/3835862.gif", "jobUrl": "https://www.naukri.com/job-listings-python-developer-...", "raw": { "…": "the full original Naukri record — nothing dropped" } } ``` With `includeJobDetails` enabled, each job also gets `fullDescription`, `role`, `industry`, `employmentType`, and `education`. Every item carries the untouched `raw` object, so any field Naukri returns is available even if it isn't surfaced above. ### Pricing Pay per result — a small per-run start fee plus a per-job fee, no subscription. See the **Pricing** tab for current rates. Use `maxItems` to keep any run's cost predictable. ### FAQ **Do I need a Naukri account or login?** No. The scraper only reads publicly visible listings. **Why does it use residential proxies?** Naukri blocks datacenter IPs. Residential proxies are configured automatically — you don't set anything up. **Can I get the full job description?** Yes — enable `includeJobDetails`. It opens each job for the complete description and extra fields (slightly slower, a few more results charged). **How many jobs can I scrape?** As many as your search returns, up to your `maxItems`. Large searches paginate automatically. **Is this legal?** The scraper collects only publicly available job-listing data. You are responsible for using the data in line with applicable laws and Naukri's terms. ### Notes - Results reflect what Naukri shows publicly for your search, in Naukri's own ranking order. - This tool does not access private data, recruiter dashboards, or candidate profiles. # Actor input Schema ## `keyword` (type: `string`): Job title, skill or company to search for (e.g. "python developer"). Leave empty to browse by location only. ## `location` (type: `string`): City or region to filter by (e.g. "bangalore"). Optional. ## `experience` (type: `integer`): Candidate years of experience to filter by. Leave empty for any. ## `maxItems` (type: `integer`): Stop after collecting this many jobs. Keeps runs (and cost) predictable. ## `proxyConfiguration` (type: `object`): Naukri blocks datacenter IPs with a reCAPTCHA gate, so RESIDENTIAL proxies are required. Defaults are set correctly — leave as-is unless you know what you are doing. ## Actor input object example ```json { "keyword": "python developer", "location": "bangalore", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("nivlekk/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 = {} # Run the Actor and wait for it to finish run = client.actor("nivlekk/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 '{}' | apify call nivlekk/naukri-job-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nivlekk/naukri-job-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Naukri Job Scraper", "description": "Scrape jobs from Naukri.com by keyword, location & experience. Get salary, skills, company ratings and apply links as clean structured JSON. No login or cookies needed.", "version": "0.1", "x-build-id": "XpLOGJZJzCtUt2IdV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nivlekk~naukri-job-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nivlekk-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nivlekk~naukri-job-scraper/runs": { "post": { "operationId": "runs-sync-nivlekk-naukri-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nivlekk~naukri-job-scraper/run-sync": { "post": { "operationId": "run-sync-nivlekk-naukri-job-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "keyword": { "title": "Search keyword", "type": "string", "description": "Job title, skill or company to search for (e.g. \"python developer\"). Leave empty to browse by location only." }, "location": { "title": "Location", "type": "string", "description": "City or region to filter by (e.g. \"bangalore\"). Optional." }, "experience": { "title": "Experience (years)", "minimum": 0, "maximum": 30, "type": "integer", "description": "Candidate years of experience to filter by. Leave empty for any." }, "maxItems": { "title": "Max jobs", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Stop after collecting this many jobs. Keeps runs (and cost) predictable.", "default": 100 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Naukri blocks datacenter IPs with a reCAPTCHA gate, so RESIDENTIAL proxies are required. Defaults are set correctly — leave as-is unless you know what you are doing.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```