Naukri Jobs Scraper: Full Descriptions, Salary & Skills

Get job postings from Naukri.com, India's largest job board, by keyword and city, or by pasting the search pages and job links you already use in your browser, filters included. Each job comes with its full description, skills, experience range, salary when the employer shows it, company rating and reviews, applicants, views, education, industry and role. Export as JSON, CSV or Excel, or read it through the Apify API.

$0.38 per 1,000 jobs on the free plan, less on paid plans. Duplicates, jobs already delivered to your watch and failed searches are not charged.

Why this one

• The full job description, not the snippet. Each job page is read: on 1,000 jobs (8 November 2026), every record had its full description (median 2,221 characters), 95% had the company's About text, 76% its rating and review count. Turn off Full job details for the search list only, more than ten times as fast, at the same price.
• Up to 15,000 jobs per search, with or without filters: that is what Naukri lists for one search. The run says when a search had more, so you can split it by city or keyword.
• Many searches in one run. Every keyword is searched in every location; a job found by two searches is delivered and charged once, by its Naukri ID.
• Only new jobs. Schedule the same searches every day: each run delivers only the jobs it has not delivered before. Jobs already delivered are never charged again.
• No personal data. Recruiter contact lines are removed from the text fields (description, summary, companyAbout): a phone number, a personal e-mail address, a WhatsApp number, or a recruiter's name in a signature ("Thanks & Regards, Priya") is replaced by [removed], with the job title line of the signature next to it. A company's service address (careers@…, hr@…) is replaced alone, and the hiring company's own name always stays. On 9,628 texts from 5,182 real jobs, 322 had a contact passage replaced, and we found no e-mail address, phone number or signature name left.
• Never a silent empty run. A search that finds nothing, a link that is not a Naukri page, a job that is closed: each gets a free error record or a status that says why, and the run summary lists every search with its count.

Quick start

1. Type one or more Keywords (python developer, data analyst, Infosys) and, if you want, Locations (Bengaluru, Pune, Delhi / NCR, Remote).
2. Add filters if you need them: experience, freshness, work mode, salary, posted by, sort order.
3. Click Start and read the jobs in the run's Output tab.

Like any Apify Actor, it can also be run and read through the Apify API, scheduled, and connected to webhooks, Make, Zapier, n8n or Apify's MCP server for AI agents.

Inputs

Field	What it does
Keywords	One job title, skill or company per line, as you would type it in Naukri's search box (C++, C#, .NET and Node.js are searched as typed). Each keyword is searched in each location.
Locations	Optional, one city per line. Naukri's usual spellings work (Bangalore and Bengaluru, Gurgaon and Gurugram); Remote lists remote jobs. Several cities on one line, separated by commas (Pune, Bengaluru), are one search, as on Naukri. A location with no keyword lists every job there. Empty = all of India. Up to 100 keywords and 100 locations, 500 searches per run.
Search or job links	A Naukri search page as shown in your browser, with its filters (https://www.naukri.com/python-developer-jobs-in-pune?experience=3), a job page, or a job ID alone (061126008331). The filters below are added to a pasted search unless the link already sets the same one. A link to a later page of a search reads the whole search, from its first page.
Your experience (years)	Keeps the jobs whose experience range includes this number, like Naukri's Experience filter (4 keeps 2-4, 3-5 and 4-8 years).
Posted within	Naukri's Freshness filter: 1, 3, 7, 15 or 30 days.
Work mode	Office, remote, hybrid, or several of them.
Salary (lakhs per year)	Naukri's Salary filter, one or more ranges. Naukri also returns jobs that hide their salary for it: they come with an empty salary.
Posted by	The hiring company itself, or a recruitment consultant (isConsultantJob).
Sort by	Relevance or date, and so which jobs come first when a limit is set.
Full job details	On (default): each job page is read. Off: only what the search list shows (title, company, locations, experience, salary, skills, short description), more than ten times as fast. Same price.
Only new jobs + Watch name	Deliver only the jobs this watch has not delivered before. Watch names are case-sensitive (Pune Jobs and pune jobs are two watches); extra spaces are ignored.
Max jobs per search	Empty = everything Naukri lists for a search (15,000 at most).
Max results	Total number of jobs of the run, all searches together, counted exactly.

Output

One record per job (texts shortened here):

{
  "type": "job",
  "status": "ok",
  "jobId": "281026009236",
  "title": "Data Analyst",
  "company": "Floww.ai",
  "companyId": 124647838,
  "companyUrl": "https://www.naukri.com/floww-ai-jobs-careers-124647838",
  "companyLogoUrl": "https://img.naukimg.com/logo_images/groups/v1/9776450.gif",
  "companyRating": 4.4,
  "companyReviewsCount": 2,
  "companyReviewsUrl": "https://www.ambitionbox.com/reviews/floww-dot-ai-reviews",
  "locations": ["Hyderabad"],
  "workplaceType": "office",
  "experienceMin": 0,
  "experienceMax": 1,
  "experienceText": "0-1 Yrs",
  "salaryMin": 350000,
  "salaryMax": 475000,
  "salaryCurrency": "INR",
  "salaryPeriod": "year",
  "salaryVariablePercent": null,
  "salaryText": "3.5-4.75 Lacs P.A.",
  "salaryDisclosed": true,
  "skills": ["SQL", "Bigquery", "Looker Studio", "Power BI", "Google Sheets"],
  "employmentType": "Full Time, Permanent",
  "industry": "IT Services & Consulting",
  "department": "Data Science & Analytics",
  "roleCategory": "Data Science & Analytics - Other",
  "role": "Data Science & Analytics - Other",
  "education": {"graduate": ["Any Graduate"], "postgraduate": null, "doctorate": null},
  "vacancies": 2,
  "applicants": 17882,
  "views": 34433,
  "postedAt": "2026-10-28T07:39:14Z",
  "isConsultantJob": false,
  "isWalkIn": false,
  "appliesOnCompanySite": false,
  "summary": "Graduate from Top 100 NIRF colleges with advanced SQL (BigQuery) and BI tools (Looker Studio, Power BI) expertise…",
  "description": "About Us\n\nWe're Deepwork Technologies, the team behind Floww.ai, an AI-powered platform…",
  "hasFullDescription": true,
  "companyAbout": "About Company:\n\nFounded by IIT Kharagpur and BITS alumni, Floww.ai is an innovative early-stage B2B SaaS startup…",
  "url": "https://www.naukri.com/job-listings-data-analyst-floww-ai-hyderabad-0-to-1-years-281026009236",
  "input": "data analyst | Hyderabad",
  "position": 12,
  "scrapedAt": "2026-11-08T07:46:27Z"
}

• salaryMin and salaryMax are yearly amounts, usually in INR. Most employers on Naukri hide the salary: then salaryDisclosed is false and the salary fields are null (11% of 1,000 jobs showed one on 8 November). An unpaid internship has salaryMin and salaryMax at 0.
• workplaceType is office, remote or hybrid, as Naukri files the job.
• applicants and views are Naukri's counters on the day of the run.
• description is plain text with one paragraph or list item per line. Without Full job details, description holds the short description of the search list and hasFullDescription is false; education, industry, department, role, employmentType, isConsultantJob, applicants, views and companyAbout come with the job page only, and workplaceType is empty for most jobs.
• With Only new jobs, each job also has "isNew": true.

Error records (free) have type: "error", an errorCode, a clear error message and retryable. The run summary (OUTPUT record) gives, per search, the jobs delivered and a note.

Pricing

Pay per event:

Event	Free plan	Bronze	Silver	Gold and above
Job	$0.38 per 1,000	$0.34 per 1,000	$0.30 per 1,000	$0.26 per 1,000
Run start (per GB of memory)	$0.00095	$0.00085	$0.00075	$0.00065

The default memory is 256 MB, so a run starts at one start event. Never charged: a job found by more than one search, jobs already delivered to your watch, error records. Set Maximum cost per run in the run options and the run stops before going over it.

What we measured

On 8 November 2026, on Apify, with 256 MB of memory:

• Speed: the default input (python developer in Bengaluru, 50 jobs) in 10 seconds; 1,000 jobs with full details in 4 minutes 40 seconds; 2,794 jobs from the search lists only, with a filter, in 58 seconds.
• Several searches in one run: "data analyst" in Hyderabad and in Pune gave 1,000 jobs, every job ID distinct; 8 jobs listed by both searches were delivered and charged once. The "java developer" searches of the same run were not read, because the run's limit of 1,000 jobs was reached first, and the run summary says so for each of them.
• Search links: a pasted Pune search with experience=3 gave 118 jobs, all in Pune, all with 3 years inside their experience range. A link to another site got a free error record.
• Filters: with "Posted within 7 days", every job with a date was posted 0 to 7 days before the run (India time; 2,784 of 2,794 jobs, 10 had no date). Posted by a consultant: 20 recruitment firms out of 20; by the company: Infosys, HCLTech, Capgemini, Airtel.
• Only new jobs: three runs of the same watch on "react developer" in Chennai delivered 300, then 838, then 43 jobs. Not one job was delivered twice.

Send results to Slack, Notion or Discord

Pick one of your Apify MCP connectors in "Send results to your app" (Notion connects in one click), or paste a Slack, Discord, Make, Zapier or n8n webhook URL. After each successful run, a summary lands there: the number of results, the first 25 with their links, and a link to the full dataset. Schedule the Actor with "Only new jobs" turned on and new results reach your team every day without opening Apify.

Limits

• Up to 100 keywords and 100 locations per run, and 500 searches (keywords × locations, plus links) in all.
• 15,000 jobs per search: Naukri's own limit. Use several keywords or cities to cover more. The run says which searches it cut.
• A watch reads its searches in full, over several runs when a run stops early, then starts again from the first page: a new job can appear on any page of a search sorted by relevance. Keep the searches of a watch under the limits above.
• Recruiter names are recognised from lists of Indian and European first names and from the shape of a signature. A name written in a sentence with no contact detail and no first name we know can stay.
• The Actor runs with 256 MB of memory, so a run always pays one start event.

FAQ

Do I need a Naukri account? No. The Actor reads the public job pages any visitor sees.

How does "Only new jobs" work? The watch remembers every job it delivered, by its Naukri ID. Use the same Watch name in each scheduled run (without a name, the memory belongs to that exact list of searches and filters). The first run delivers every matching job; the next ones only the jobs not delivered before. A run that stops early (maxItems, cost limits) is continued by the next run of the watch, from the page where it stopped. One run of a watch at a time: a run that was stopped abruptly keeps its watch busy for up to 15 minutes.

Why do I get fewer jobs than Naukri announces? Naukri lists at most 15,000 jobs per search. Narrow the search (a city, a more precise keyword) or add searches.

Is anything different on Apify's free plan? No. The same searches, fields and limits apply on every plan; only the price per job changes, as in the table above.

Why is the start charged per GB? Apify counts a run's start by its memory. At the default 256 MB, a run pays one start event.

What if the run is restarted by the platform (migration or reboot)? It resumes where it was: jobs already in the dataset are not delivered or charged again.

What if Naukri changes its pages? The run says so in its status and a free error record, instead of reporting "no jobs", and nothing is charged but the start.

Is it legal? It collects public job postings published by employers to be read by anyone. Check the rules that apply to your use of the data.

Does the Actor send anything to Quarra? Only when a run fails or runs out of time: the Actor, its build, the error type, the line of our code where it happened, and the memory and time the run was given, so we can fix it fast. Never your input, your results, your account or the ID of your run.