Naukri Jobs Scraper avatar

Naukri Jobs Scraper

Pricing

from $10.00 / 1,000 job scrapeds

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Naukri Jobs Scraper

Naukri Jobs Scraper

Scrape Naukri.com (India's largest job portal) listings by keyword and location. Returns job title, company, salary range, experience required, location, skills, and posting date. Useful for recruitment intelligence, salary benchmarking, and India market analysis.

Pricing

from $10.00 / 1,000 job scrapeds

Rating

0.0

(0)

Developer

Gio

Gio

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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Scrape Naukri.com (India's largest job portal) listings by keyword and location. Returns job title, company, salary, experience required, location, skills, and posting date.

Useful for recruitment intelligence, salary benchmarking, skills gap analysis, and India market research.

Free vs. paid

  • Free plan: 15 clearly-labelled mock jobs (so you can inspect the output shape).
  • Paid plan: real, live Naukri data.

Input

FieldTypeDescription
searchTermString (required)Job role keyword.
locationStringCity or region (bangalore, mumbai, etc.). Empty = India-wide.
maxItemsIntegerDefault 100, max 2000.
debugBooleanVerbose logs.

Output

{
"jobId": "010125000123",
"title": "Software Engineer - Backend",
"url": "https://www.naukri.com/job-listings-...",
"company": "Acme Tech Pvt Ltd",
"companyRating": "3.8",
"experience": "3-6 Yrs",
"salary": "12-18 LPA",
"location": "Bangalore",
"postedDate": "2 days ago",
"skills": ["Java", "Spring Boot", "AWS"],
"description": "We are looking for..."
}

Pricing

Billed per job returned ($0.010/job). The Indian recruitment market reports ~6-12M active job seekers monthly; useful for HR tech, salary surveys, and competitor monitoring.

How fast?

Naukri pages render ~3-5s with Playwright. 20 jobs/page. 100 jobs ≈ 30-60 seconds.

Limitations

  • Naukri uses dynamic React rendering, so this actor uses Playwright (4GB RAM, slower than HTTP-only actors).
  • Naukri's selectors change occasionally. The actor tries multiple selector variants to stay resilient.

If this actor helped you, please leave a review on the Apify Store.