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⇱ Naukri Job Listings Scraper & API · Apify

👁 Naukri Jobs Scraper API – Latest Jobs by Keyword & Location avatar

Naukri Jobs Scraper API – Latest Jobs by Keyword & Location

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from $6.00 / 1,000 results

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Naukri Jobs Scraper API – Latest Jobs by Keyword & Location

Scrape latest job listings from Naukri.com using keyword, location, experience, salary, and job age filters. Extract job title, company, salary range, skills, and full descriptions. Ideal for recruitment automation, job analytics, and market research via Apify API.

Pricing

from $6.00 / 1,000 results

Rating

0.0

(0)

Developer

👁 Surya Charan

Surya Charan

Maintained by Community

Actor stats

0

Bookmarked

785

Total users

17

Monthly active users

3 months ago

Last modified

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Naukri Jobs Scraper — Apify Actor

Scrape latest job listings from Naukri.com (India) using this powerful Naukri Jobs Scraper API. Collect job title, company, location, experience, salary, posted date, description, skills, and apply link. Built as an Apify Actor with Selenium (Chrome) for reliable pagination and dynamic content rendering.

Key Features

  • Fast headless Chrome scraping for JavaScript-rendered Naukri pages.
  • Returns structured job objects ready for analytics, ETL, or ATS ingestion.
  • Configurable search filters: keywords, location, experience, job age, CTC range, and work mode (Remote/Hybrid/On-site).
  • Writes results directly to the default Apify dataset for easy access and export.
  • Handles dynamic content and pagination reliably.

Who Is This For

  • Recruiters and HR teams who need fresh job listings from Naukri.com.
  • Data teams & automation engineers building pipelines for job-market analytics, dashboards, or reporting.
  • Anyone looking to scrape jobs for research, recruitment, or automation workflows.

Input (JSON)

Input fields:

  • job_title (string) — REQUIRED: Job title or skill keyword (e.g., "React Developer", "Java Engineer", "Node.js Developer").
  • location (string) — optional: City or region (e.g., "Bengaluru", "Mumbai", "Remote").
  • experience (integer) — optional: Experience filter as expected by Naukri (e.g., 3 = 3years).
  • no_of_jobs (integer) — optional, default 20: Total job cards to collect.
  • job_age (integer) — optional, default 3: Max age of job postings in days.
  • expected_ctc (number) — optional: Expected salary in lakhs per annum (e.g., 12 = 12 LPA).
  • work_mode (array[string]) — optional: "wfo", "hybrid", "remote".

Provide a JSON input to the Actor. Required and optional keys:

Example Input

{
"job_title":"React Developer, Java Developer, Node js",
"location":"Hyderabad",
"experience":3,
"no_of_jobs":20,
"job_age":3,
"expected_ctc":12,
"work_mode":["remote","hybrid","wfo"]
}```

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