We extract job postings, company profiles, skill taxonomies, and recruiter metadata from Naukri. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Job Postings objects from naukri.com. All fields typed and schema-versioned.
"job_id": "180423501293", "title": "Senior Backend Engineer", "company_name": "TechCorp India", "location": "Bengaluru, Hyderabad", "experience_req": "5-8 Years", "salary_range": "Not Disclosed", "posted_date": "2026-05-11", "applicants_count": 412
| # | job_id | title | company_name | location | experience_req | salary_range |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Company Profiles objects from naukri.com. All fields typed and schema-versioned.
"company_id": "C98213", "name": "TechCorp India", "industry": "IT Services & Consulting", "employee_count": "1000-5000", "ambitionbox_rating": 4.1, "review_count": 1284, "active_jobs": 45, "hq_location": "Bengaluru"
| # | company_id | name | industry | employee_count | hq_location | ambitionbox_rating |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Skill Taxonomies objects from naukri.com. All fields typed and schema-versioned.
"job_id": "180423501293", "role_category": "Software Development", "functional_area": "Engineering - Software", "key_skills": "['Python', 'PostgreSQL', 'AWS', 'System Design']", "mandatory_skills": "['Python', 'PostgreSQL']", "employment_type": "Full Time, Permanent", "role": "Backend Developer"
| # | job_id | role_category | functional_area | key_skills | preferred_qualifications | mandatory_skills |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Recruiter Metadata objects from naukri.com. All fields typed and schema-versioned.
"recruiter_id": "R449102", "name": "Priya Sharma", "designation": "Talent Acquisition Specialist", "company": "TechCorp India", "active_postings": 12, "last_active": "2026-05-12T08:30:00Z", "location": "Bengaluru"
| # | recruiter_id | name | designation | company | hiring_for | active_postings |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Salary & Benefits objects from naukri.com. All fields typed and schema-versioned.
"job_id": "180423501293", "hide_salary_flag": true, "currency": "INR", "perks_list": "['Health Insurance', 'Remote Work', 'Gym Membership']", "esop_offered": true, "ambitionbox_salary_estimate": "24L - 32L", "min_salary": "None", "max_salary": "None"
| # | job_id | min_salary | max_salary | currency | hide_salary_flag | perks_list |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Naukri scraper handles complex React payloads, aggressive rate limits, and nested company data to deliver clean, structured talent intelligence.
Extract raw HTML and clean text from job descriptions, normalising custom formatting into readable strings.
Capture AmbitionBox ratings, employee counts, industry classifications, and active job counts for every hiring company.
Separate mandatory skills from preferred qualifications and map them to standard role categories.
Extract stated salary ranges, currency, and AmbitionBox estimated benchmarks when employers hide compensation.
Map job postings to specific recruiters, capturing their designation, hiring history, and last active timestamps.
Parse complex multi-city arrays and remote/hybrid flags into structured geographical data.
Navigate thousands of search result pages automatically to capture exhaustive location or keyword datasets.
Bypass Naukri rate limits and WAF challenges using residential proxy rotation and TLS fingerprinting.
Track job closures and updates. We maintain state and only deliver new or modified listings on subsequent runs.
Brief in. Clean data out.
Provide keywords, locations, company lists, or role categories. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for naukri.com.
Schema validation, null-rate checks, location normalisation, and sample records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Naukri invests heavily in scraping detection and dynamic frontend rendering. Here is how we stay resilient.
Naukri deploys aggressive rate limiting and Web Application Firewalls. We use India-based residential proxies, realistic browser fingerprints, and randomised request timing to blend in with legitimate job seeker traffic.
Naukri relies heavily on React and Next.js. Much of the valuable data is hidden in nested JSON payloads within the DOM. We intercept these state objects directly, avoiding brittle HTML parsing where possible.
Employers format job descriptions differently. Some use standard bullet points; others dump raw text or custom HTML. Our extraction layer cleans and structures this text into predictable fields.
Knowing when a job is filled is as important as knowing when it opens. We track active listings and flag records when they are removed from the platform, giving you accurate time-to-fill metrics.
A single job might list 'Bengaluru, Hyderabad, Pune' or 'Remote'. We parse these strings into structured arrays, allowing you to query demand by specific city without complex string matching.
Consulting firms and staffing agencies track talent demand across cities, industries, and specific skill sets.
HR teams monitor the hiring velocity and role priorities of rival companies to anticipate strategic moves.
Compensation analysts aggregate stated salary ranges and AmbitionBox estimates to adjust internal pay bands.
B2B sales teams target companies that are actively expanding specific departments or opening new offices.
Education platforms analyse mandatory vs preferred skills to align their course offerings with current market demand.
Hedge funds and economists track employment trends and hiring volume as leading indicators of economic health.
"Naukri holds the definitive pulse of the Indian job market, but extracting structured skill requirements and salary data at scale requires bypassing aggressive WAFs."
Most teams fail at scraping Naukri because they underestimate the aggressive rate limiting and the complex, nested JSON payloads hidden behind React components. DataFlirt manages the residential proxies, JavaScript rendering, and schema normalisation so your data science team can focus on talent mapping.
Everything supported by our naukri.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows.
We maintain pools of residential ISP proxies across India. Rotation happens per-request with sticky sessions where required to prevent IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About naukri.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available job postings and company profiles is generally permissible. DataFlirt targets only public, non-authenticated data on Naukri. We do not extract personal candidate data from Resdex or circumvent paid authentication walls.
We use Indian residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour to bypass WAFs and rate limits.
Yes. We maintain state across pipeline runs. If a previously scraped job ID returns a 404 or a 'no longer active' flag, we emit a closure event in the data feed.
Yes. Naukri integrates AmbitionBox data for company reviews and salary estimates. We extract these associated data points alongside the job posting.
We can configure pipelines to run daily or weekly depending on your requirements. Daily runs capture new jobs within 24 hours of posting.
No. Resdex is a paid, authenticated database containing Personally Identifiable Information (PII). We strictly avoid scraping gated personal data.
Our smallest packages start at tracking specific keywords, locations, or a defined list of companies with weekly delivery. Contact us with your scope for pricing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily feed of specific tech roles in Bengaluru or a full export of active jobs for market mapping — we scope, build, and operate the pipeline.
