Naukri.com Jobs Scraper

An Apify actor that scrapes job listings from Naukri.com, turning search results into structured JSON or CSV data. It's built with Selenium for reliability and handles pagination and optional detail fetching.

Overview

This actor automates data extraction from Naukri.com. Provide a job title and location, and it returns a clean dataset. It runs on the Apify platform, requiring no coding to operate. The actor includes anti-detection measures and is configured for stability at scale.

Key Features

• Extracts core job data: Title, company, experience required, location, salary (if listed), and job URL.
• Optional full descriptions: Set fetch_details=true to visit each job page and scrape the complete description. This also often captures salary data missing from the listing page.
• Pagination handling: Automatically navigates through Naukri's search pages to collect up to the specified number of jobs.
• Configurable concurrency: Control parallel workers (1-25) for detail fetching to balance speed and resource usage.
• Built for reliability: Uses human-like delays, browser warming, stealth options, and robust selectors to minimize blocking.
• Multiple outputs: Returns a JSON dataset and offers a CSV download. A SUMMARY key-value store provides quick run statistics (total jobs scraped, etc.).

Input / Configuration

Configure the actor run with these parameters:

Output

The primary output is a dataset containing an array of job objects. The exact schema is defined in output_schema.json and includes:
* title, company, experience, location, salary, link, description, scraped_at

You can download this data as JSON or CSV from the Apify run console. The run's Key-Value Store will also contain a SUMMARY with metrics like total jobs scraped.

How to Use

1. Deploy the Actor: Upload the repository as an actor on your Apify account or link it to a GitHub repo. The included Dockerfile ensures Chrome is available.
2. Configure Input: In the actor's input settings, provide the required query and location. Set max_jobs and decide if you need fetch_details.
3. Run: Start the actor. Monitor its progress in the Apify console.
4. Get Results: Once finished, download the dataset (JSON/CSV) from the actor run's dataset tab.

Best Practices

• Only enable fetch_details when you need the full description, as it significantly increases run time.
• Start with a low workers value (e.g., 2) and increase gradually based on your Apify plan's resources.
• If you encounter a CAPTCHA during development, run with headless=false to solve it manually once; the session cookies may help subsequent runs.

Support & Customization

For modifications like additional data fields, custom filters, or cloud scheduling, contact the developer via the repository issues. Custom integrations (e.g., Google Sheets, AWS) can also be implemented.