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Naukri Jobs Scraper

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Naukri Jobs Scraper

Naukri Jobs Scraper

Developed by

DR Nayaki

DR Nayaki

Maintained by Community

Scrape structured job listings from Naukri.com with keyword and location filters. Collect job title, company, description, location, and job URL in clean format. Built-in retries, rate-limit handling, and polite delays ensure reliable scraping for recruitment and analytics workflows.

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Pricing

Pay per event

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Last modified

21 hours ago

πŸ§‘β€πŸ’» Naukri Job Scraper

This Apify actor scrapes structured job listings from Naukri.com using Naukri’s job API.
It supports keyword and location filters, includes retry & polite scraping with random delays, and outputs clean structured job data.


πŸš€ How it works

  • Uses Naukri’s public job API (/jobapi/v2/search).
  • Handles retries, rate limits (429), and exponential backoff.
  • Supports keyword, location, and maxResults inputs.
  • Cleans and normalizes job data (title, company, description, location, job URL).
  • Outputs to Apify dataset for easy export (JSON, CSV, Excel, API).

πŸ“₯ Input

Define your scraping preferences in the input JSON.

FieldTypeRequiredDefaultDescription
keywordStringNo"python developer"Keyword to search jobs for
locationStringNo""Location filter (e.g., Bangalore, Mumbai, Delhi, etc.)
maxResultsNumberNo100Maximum number of jobs to scrape

Example Input

{
"keyword": "data scientist",
"location": "Bangalore",
"maxResults": 50
}

πŸ“€ Output

Each job is returned as an object in the dataset.

Field Type Description job_title String Job title company_name String Hiring company job_description String Short description + skills (trimmed to 300 chars) location String Job location job_url String Direct link to job listing scraped_at String Timestamp when scraped

Sample Output

{
"job_title": "Senior Data Scientist",
"company_name": "TechCorp Ltd",
"job_description": "Work on ML pipelines, data modeling, and deploy AI solutions... | Skills: Python, ML, AI, SQL",
"location": "Bangalore",
"job_url": "https://www.naukri.com/job-listings-123456",
"scraped_at": "2025-08-31 10:15:30"
}