Naukri Job Scraper — Apify Actor (Selenium)

Turn Naukri listings into instant, structured data — no coding required. This Apify‑ready actor scrapes job headlines and (optionally) full job descriptions from Naukri.com and delivers clean JSON/CSV outputs you can download or pipe to analytics, ATS, or spreadsheets.

Why use this actor

• Plug & play: enter a job title and location, set max results, and run.
• Non‑technical friendly: simple inputs, immediate JSON/CSV output, and a SUMMARY snapshot for quick metrics.
• Reliable at scale: configurable parallel workers (1–25) and pagination support to collect data across pages.
• Anti‑detection & stability: human‑like delays, home‑page warming, stealthy Chrome options, retries and robust selectors.

Key features

• Extracts: title, company, experience, location, salary, job URL, and full description (if enabled).
• Pagination aware: navigates Naukri pages to reach max_jobs.
• Fetch details toggle: set fetch_details=true to visit each job page and capture full descriptions and missing salary info.
• Exports: JSON dataset (default) and CSV download for easy Excel/Sheets import.
• Includes output_schema.json describing the exact output fields for the actor UI.

Inputs (what you configure)

Field	Type	Notes
query	string	Job keyword (e.g., "Python Developer") — required
location	string	City or region (e.g., "Nagpur") — required
max_jobs	integer	Max results to collect (1–500)
fetch_details	boolean	true to fetch full descriptions (slower)
headless	boolean	Set false locally to view the browser and solve CAPTCHAs
workers	integer	Parallel detail fetchers (1–25) — higher values use more CPU/RAM

Output

• The actor produces a JSON dataset (array of job objects). See output_schema.json in the repo for the exact schema (title, company, experience, location, salary, link, description, scraped_at).
• A SUMMARY key‑value store contains quick run stats.

Quick start — on Apify

1. Upload this repository as an actor on Apify or link it to your GitHub repo.
2. Ensure the Docker build includes Chrome (the included Dockerfile does this).
3. In the actor input, set query, location, max_jobs, and fetch_details as needed.
4. Run the actor and download the dataset from the actor run page.

Tips & best practices

• Use fetch_details=true only when you need full descriptions — it visits each job page and increases runtime.
• Start with workers=2 and increase if your Apify plan and container resources allow it.
• If you hit a CAPTCHA locally, run with headless=false and manually solve it once to warm cookies.

Support & customization Want extra fields, filters, or cloud scheduling? I can customize selectors, add filters, or integrate results with Google Sheets / AWS — open an issue or contact the developer.

Enjoy automated, reliable job market data from Naukri — faster sourcing, better insights, and less manual work.