Naukri Jobs Scraper
Pricing
Pay per event
Naukri Jobs Scraper
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
25 days ago
🧑💻 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.
🚀 How it works
- Uses Naukri’s public job API (
/jobapi/v2/search). - Handles retries, rate limits (429), and exponential backoff.
- Supports
keyword,location, andmaxResultsinputs. - Cleans and normalizes job data (title, company, description, location, job URL).
- Outputs to Apify dataset for easy export (JSON, CSV, Excel, API).
📥 Input
Define your scraping preferences in the input JSON.
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
keyword | String | No | "python developer" | Keyword to search jobs for |
location | String | No | "" | Location filter (e.g., Bangalore, Mumbai, Delhi, etc.) |
maxResults | Number | No | 100 | Maximum number of jobs to scrape |
Example Input
📤 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
