💼 Naukri Jobs Scraper - India Job Postings & Hiring Data

Scrape job postings from Naukri.com, India's #1 job board, at scale. Search by role, skill, company or keyword and get clean, structured records for every listing: job title, hiring company, location, required experience, salary, key skills, a short job-description snippet, posted date and the direct job URL. Perfect for recruitment intelligence, lead generation, salary benchmarking and job-market research. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.

🔎 What is the Naukri Jobs Scraper?

The Naukri Jobs Scraper is an automated tool that turns Naukri's search results into a structured dataset. Instead of copy-pasting from page after page, you give it one or more keywords (and an optional city or experience filter) and it returns every matching job posting as a tidy row you can sort, filter and analyze.

It talks directly to Naukri's own job-search backend, so the data is fast, accurate and matches what you see on the live site — including the hiring company name on every record, which makes it a powerful source for B2B and recruiting lead generation.

What data does it extract?

For each job posting the scraper returns:

• Job title — the role as advertised
• Company — the hiring company name (great for lead-gen)
• Location — city / region of the role
• Experience — required years of experience
• Salary — the advertised salary range (when shown)
• Skills — the key skills / tags attached to the listing
• Job description snippet — a short summary of the role
• Posted date — how recently the job was posted
• Company rating & reviews — employer rating when available
• Job URL — a direct link to the full posting on Naukri
• Job ID — Naukri's unique identifier for the listing

⬇️ Input

Field	Type	Description
keywords	array	Job titles, roles, skills or company names to search (each searched separately).
location	string	Optional city or region to narrow results, e.g. Bangalore.
experience	string	Optional minimum years of experience, e.g. 2.
maxResults	integer	Max job postings to return per keyword (default 10).
useResidentialProxy	boolean	Route via Apify residential (IN) proxies — keep ON (default true).

Example input

{
  "keywords": ["python developer", "data scientist"],
  "location": "Bangalore",
  "experience": "3",
  "maxResults": 50,
  "useResidentialProxy": true
}

⬆️ Output

Each item in the dataset looks like this:

{
  "jobId": "010101011234567",
  "title": "Python Developer",
  "company": "Acme Technologies Pvt Ltd",
  "location": "Bangalore",
  "experience": "3-6 Yrs",
  "salary": "Not disclosed",
  "job_description_snippet": "We are looking for a Python developer with strong experience in Django, REST APIs and AWS to join our backend team...",
  "skills": ["Python", "Django", "AWS", "REST", "PostgreSQL"],
  "posted_date": "3 Days Ago",
  "created_date_ms": 1719500000000,
  "company_rating": "4.1",
  "company_reviews": "1200",
  "logo": "https://img.naukimg.com/logo/acme.gif",
  "job_url": "https://www.naukri.com/job-listings-python-developer-acme-bangalore",
  "is_premium": false,
  "keyword": "python developer"
}

Export the dataset as JSON, CSV, Excel, XML or HTML from the Apify console or via the API.

💡 Use cases

• 🧲 Recruitment lead generation — build lists of companies actively hiring for a role, with a direct link to every opening.
• 📊 Salary & skills benchmarking — aggregate advertised salaries and in-demand skills across thousands of listings.
• 🏢 Competitor & market intelligence — track which firms are scaling which teams, and where.
• 🤖 Job-board automation — feed fresh Naukri listings into your own job aggregator, CRM, Google Sheet or Slack on a schedule.

❓ FAQ

Which jobs can I scrape? Any role searchable on Naukri — by job title, skill, technology, function or company name. Combine keywords with an optional location and experience filter.

How many results can I get? Set maxResults per keyword (up to 2000). Naukri paginates results; the scraper walks through pages automatically until your limit is reached or results run out.

Why does it need a residential proxy? Naukri's search API blocks datacenter IP addresses (it returns HTTP 406, "recaptcha required"). Routing through Apify residential proxies in India makes requests look like a real visitor from India, which is where the jobs are. Keep useResidentialProxy ON.

Do I need an Apify paid plan? Residential proxy usage requires a plan that includes it. The free tier has a small monthly usage allowance you can test with, but for steady scraping a paid plan is recommended.

Does the scraper return the hiring company? Yes — every record includes the company name, and many include the employer rating and review count, which makes the output ideal for B2B and recruiting lead generation.

How fresh is the data? The scraper reads Naukri's live search backend, so results reflect what is on the site at the moment you run it, including the "posted X days ago" recency label.

Can I schedule it? Yes. Use Apify Schedules to run the scraper hourly, daily or weekly and automatically collect new postings over time.

Is it legal? The scraper collects only publicly available job-posting information. You are responsible for using the data in line with Naukri's terms, applicable laws and data-protection rules such as the GDPR and India's DPDP Act. Do not use the data to send unsolicited communications where that is prohibited, and respect candidates' and companies' privacy.

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• 💻 Dice.com Jobs Scraper — US tech jobs with salary data.
• 🌍 Remote Jobs Aggregator — remote roles across multiple platforms.

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