Naukri Jobs Scraper

What does Naukri Jobs Scraper do?

Naukri Jobs Scraper collects public job listings from Naukri.com into a clean, ready-to-use dataset. Search by job title, skill, company, or location, then receive useful vacancy details such as the role, employer, location, experience, salary, posting date, skills, and job description.

Use it to build job-market reports, discover new openings, track hiring activity, or power your own recruitment workflows. Run it on demand or on a schedule, then access results through Apify’s API, integrations, exports, monitoring, and optional proxy infrastructure.

Why use Naukri Jobs Scraper?

• Find relevant opportunities quickly — search for roles such as software engineer, data analyst, sales executive, or any skill and location combination.
• Track the job market — follow new postings, remote and hybrid roles, salary information, experience requirements, and employer activity.
• Bring data into your workflow — export results or connect them to Google Sheets, Make, Zapier, and other Apify integrations.
• Choose the detail level you need — collect search results only for fast discovery, or include full job details for deeper analysis.
• Repeatable job monitoring — schedule a run to check for newly posted roles every day, week, or at another interval that suits your process.

How to scrape Naukri job listings

1. Open the Actor and select the Input tab.
2. Enter a keyword, such as software engineer, and optionally add a location, such as Bangalore.
3. Refine the search with filters for posting date, work mode, experience, salary, and sort order.
4. Set the maximum number of job listings to collect and whether to include detailed job information.
5. Click Start. View the results in the Dataset tab or download them when the run finishes.

You can also paste a Naukri search URL to reuse a search you have already configured on the website, or provide job IDs when you need specific listings.

Input

Set up the Actor in the Input tab. The most useful fields are:

Field	What it does
keyword	Job title, skill, or search phrase to find.
location	Optional city or region, for example Mumbai or Bangalore.
searchUrl	A Naukri search URL whose selected filters you want to reuse.
jobIds	Specific job IDs to collect directly.
freshness	Limit results to jobs posted recently.
sortBy	Order results by relevance or newest posting date.
workMode	Filter for office, remote, hybrid, or temporary work-from-home roles.
experience	Target roles requiring a chosen number of years of experience.
salaryRange	Filter by annual salary range.
maxItems	Maximum number of job listings to include in the dataset (minimum 20).
getJobDetails	Include job descriptions, skills, education, and other available details.

If you provide job IDs, they take priority. If you provide a search URL, its search criteria take priority over manually entered search filters.

Output

Every dataset record represents one Naukri job listing. Available fields can include the job title, company, link, location, experience, salary, posting time, skills, role summary, full description, education, employment type, and company information where available.

{
  "jobId": "220126040161",
  "title": "Sales Executive",
  "company": "CenturyPly",
  "url": "https://www.naukri.com/job-listings-sales-executive-...",
  "location": "India",
  "experience": "1-6 Yrs",
  "salary": "Not disclosed",
  "postedAt": "2026-08-17 13:23:19",
  "keySkills": ["channel sales", "business development", "b2b sales"],
  "employmentType": "Full Time, Permanent"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Data table

Field	Description
jobId	Identifier for the job listing.
title	Job title.
company	Hiring company.
url	Link to the job listing.
location / locations	Job location or locations.
experience	Required experience.
salary	Salary information when available.
postedAt	Date and time the job was posted.
workMode	Remote, hybrid, or on-site information when available.
descriptionPlain	Readable job description when detailed collection is enabled.
keySkills	Skills listed for the role.
education	Education requirements when available.
employmentType	Employment and job type information.
companyRating	Company rating information when available.

How much does it cost to scrape Naukri jobs?

The cost depends on the number of listings you collect and whether you include detailed job information. Start with a small search to estimate the cost for your use case, then use max items or a maximum run-cost limit to stay within budget. Apify’s free tier may be enough to try a small run before you scale up.

Tips for better job-search data

• For daily job alerts, select recent postings, sort by date, and schedule recurring runs.
• Use a specific keyword and location to reduce unrelated results.
• Collect listing data only when you need a broad market overview; include job details for richer analysis.
• Use maxItems to create predictable, focused datasets.
• Paste a saved Naukri search URL when you want to repeat a more complex search.

FAQ, disclaimer, and support

Can I use this for recruitment or market research?

Yes. It is useful for job discovery, hiring-market research, salary benchmarking, and internal reporting. Always make sure your intended use complies with applicable laws, the source website’s terms, and privacy requirements.

Why are some fields blank?

Job listings do not always include every detail. Salary, work mode, company data, education requirements, and other optional fields may be unavailable for a particular listing.

Where can I get help?

For feedback, questions, or a custom data-collection solution, use the Actor’s Issues tab or contact the author through the Actor page.