Naukri Jobs Feed

🔍 What is Naukri Jobs Feed?

Naukri Jobs Feed extracts structured job listings from naukri.com, India's largest job portal with 100M+ registered users. It combines fast search results with optional detail enrichment, incremental monitoring, and compact output for AI-agent workflows.

✨ Why choose this actor?

From basic job lists to operational data

What you need	Naukri Jobs Feed	Basic scrapers
A clean list of jobs	Yes	Yes
Full descriptions for analysis	Yes	Sometimes
Structured salary data (min/max/currency)	Yes	Rarely
Company ratings from AmbitionBox	Yes	No
Incremental monitoring for scheduled runs	Yes	Rare
Compact output for AI-agent workflows	Yes	No
Direct job ID lookup	Yes	No

If you only need a basic list of vacancies, many tools will look similar. If you need job data that is ready for enrichment pipelines, market analysis, or scheduled monitoring, this actor gives you more usable output in a single workflow.

🚀 Quick start

Search Python developer jobs:

{
  "keyword": "python developer",
  "maxResults": 50
}

Add full descriptions and detail fields:

{
  "keyword": "python developer",
  "location": "Bangalore",
  "maxResults": 50,
  "fetchDetails": true
}

Monitor only new or changed jobs on recurring runs:

{
  "keyword": "python developer",
  "location": "Bangalore",
  "maxResults": 100,
  "incremental": true
}

Sample output

Full record with fetchDetails: true (all fields present; detail-only fields are null in search-only mode):

{
  "jobId": "180326019917",
  "groupId": null,
  "title": "Python Software Developer",
  "companyName": "HCLTech",
  "companyId": 4263814,
  "experienceText": "6-10 Yrs",
  "minimumExperience": 6,
  "maximumExperience": 10,
  "salary": "25-30 Lacs PA",
  "salaryMin": 2500000,
  "salaryMax": 3000000,
  "salaryCurrency": "INR",
  "location": "Hyderabad, Bengaluru",
  "skills": ["GCP", "Google Api", "Python", "SQL", "Rest API"],
  "createdDate": "2026-03-19T14:37:16.515Z",
  "jdURL": "/job-listings-python-software-developer-hcltech-hyderabad-bengaluru-6-to-10-years-180326019917",
  "portalUrl": "https://www.naukri.com/job-listings-python-software-developer-hcltech-hyderabad-bengaluru-6-to-10-years-180326019917",
  "logoPath": "https://img.naukimg.com/logo_images/groups/v1/4263814.gif",
  "mode": "premium",
  "industry": "IT Services & Consulting",
  "viewCount": 4812,
  "companyWebsite": "https://www.hcltech.com",
  "ambitionBox": {
    "url": "https://www.ambitionbox.com/reviews/hcl-technologies-reviews",
    "rating": "3.4",
    "reviewsCount": 45343
  },
  "description": "<p>Primary skills (Mandatory): Python, SQL, GCP, REST API...</p>",
  "roleCategory": "IT & Information Security - Other",
  "functionalArea": "Engineering - Software & QA",
  "jobRole": "Software Development Engineer (SDE)",
  "employmentType": "Full Time, Permanent",
  "educationUG": ["B.Tech/B.E. in Any Specialization"],
  "educationPG": [],
  "applyCount": 352,
  "vacancy": 1,
  "wfhType": null,
  "companyDescription": "HCLTech is a global technology company, home to 225,000+ people...",
  "scrapedAt": "2026-03-20T20:35:00.000Z",
  "searchKeyword": "python developer"
}

💡 Use cases

• Job market intelligence — track hiring volume, skill demand, and salary trends across Indian metros
• Recruitment pipeline — find and filter candidates' target roles by skills, experience, and location
• Sales prospecting — identify companies actively hiring in your domain for targeted outreach
• Salary benchmarking — use structured min/max salary data to compare compensation across roles
• Competitor monitoring — track when competitors post new roles and what skills they require
• Academic research — analyze labor market trends, skill gaps, and regional employment patterns

🤖 AI-agent and MCP usage

For AI agents and MCP workflows, use compact mode with description truncation:

{
  "keyword": "data scientist",
  "location": "Mumbai",
  "maxResults": 20,
  "compact": true,
  "descriptionMaxLength": 500,
  "fetchDetails": true
}

Compact mode returns only core fields: jobId, title, companyName, location, salary, experienceText, skills, createdDate, portalUrl, description.

📋 How to scrape Naukri.com jobs

1. Go to the Naukri Jobs Feed page on Apify Console
2. Enter a search keyword (e.g. "data analyst")
3. Optionally set location, salary range, experience, and other filters
4. Click Start and wait for the run to complete
5. Download results as JSON, CSV, or Excel from the Dataset tab

📥 Input reference

Parameter	Type	Default	Description
keyword	string	—	Search keyword (e.g. "python developer"). Not required if jobIds is provided.
jobIds	string[]	[]	Fetch specific jobs by ID, skipping keyword search
location	string	—	Filter by location (e.g. "Bangalore", "Mumbai")
maxResults	integer	100	Maximum jobs to return (0 = unlimited)
fetchDetails	boolean	false	Fetch full descriptions and additional fields via detail API
incremental	boolean	false	Only return new or changed jobs since last run
compact	boolean	false	Return only core fields (ideal for AI agents)
descriptionMaxLength	integer	—	Truncate descriptions to this many characters
experienceMin	integer	—	Minimum years of experience (0–30)
experienceMax	integer	—	Maximum years of experience (0–30)
salary	enum	—	Salary range in lakhs PA: 0to3, 3to6, 6to10, 10to15, 15to25, 25to50, 50to75, 75to100
workFromHome	boolean	false	Filter for remote / work-from-home jobs only
freshness	integer	—	Only jobs posted within this many days (1–30)
maxConcurrency	integer	3	Maximum concurrent requests
maxRequestRetries	integer	3	Retries per failed request
proxyConfiguration	object	—	Apify proxy (optional — the API works without proxy)

📤 Output fields

Core fields (always present)

Field	Type	Description
jobId	string	Unique Naukri job identifier
title	string	Job title
companyName	string	Company name
companyId	integer | null	Naukri company identifier
location	string | null	Job location(s)
experienceText	string | null	Experience range as text (e.g. "2-5 Yrs")
minimumExperience	integer | null	Minimum years of experience
maximumExperience	integer | null	Maximum years of experience
salary	string | null	Salary text (e.g. "5-10 Lacs PA")
salaryMin	number | null	Minimum salary in local currency
salaryMax	number | null	Maximum salary in local currency
salaryCurrency	string | null	Currency code (e.g. "INR")
skills	string[]	Required skills
createdDate	string | null	Job posting date (ISO 8601)
portalUrl	string	Absolute URL to job on naukri.com
industry	string | null	Company industry
mode	string | null	Listing mode
viewCount	number | null	Job view count
logoPath	string | null	Company logo URL
ambitionBox	object | null	AmbitionBox company rating data
scrapedAt	string	Extraction timestamp (ISO 8601)
searchKeyword	string	The keyword used for this search

Detail-only fields (fetchDetails = true)

Field	Type	Description
description	string | null	Full HTML job description
roleCategory	string | null	Job role category
functionalArea	string | null	Functional area
jobRole	string | null	Specific job role
employmentType	string | null	Employment type (e.g. "Full Time, Permanent")
educationUG	string[]	Required undergraduate degrees
educationPG	string[]	Required postgraduate degrees
applyCount	integer | null	Number of applications received
vacancy	integer | null	Number of openings
wfhType	string | null	Work-from-home type
companyDescription	string | null	Company description
companyWebsite	string | null	Company website URL

🔄 Incremental mode

When incremental: true, the actor tracks which jobs it has seen across runs using a key-value store scoped by keyword + location. On subsequent runs, only new or changed jobs are returned.

This is ideal for scheduled recurring runs where you want to avoid processing the same jobs repeatedly.

State is stored in the naukri-state key-value store with keys like incremental_python_developer_bangalore.

⚠️ Known limitations

1. India-only — Naukri.com is focused on the Indian job market. International listings are minimal.
2. No contact data — recruiter contact details (name, email, phone) require authentication and are not available via the public API.
3. Salary not always disclosed — many listings show "Not disclosed" for salary. Structured salary fields will be null in these cases.
4. Description is HTML — job descriptions from the detail API contain HTML markup. Use descriptionMaxLength to truncate for downstream processing.
5. Rate limiting — the API may throttle aggressive request patterns. Default maxConcurrency: 3 is conservative to avoid this.
6. 20 results per page — the search API returns a maximum of 20 jobs per page. Pagination is automatic.

💰 Pricing

This actor uses pay-per-event pricing:

Event	Cost
actor-start	$0.005
result (search-only)	$0.002
result-detail (with fetchDetails)	$0.002

Example costs:

• 100 search-only results: $0.005 + 100 × $0.002 = $0.205
• 100 detail-enriched results: $0.005 + 100 × $0.002 = $0.205
• Incremental run with 10 new results: $0.005 + 10 × $0.002 = $0.025

🔗 Related actors

• StepStone Jobs Feed — German/Austrian/Belgian job market
• Arbeitsagentur Jobs Feed — German federal employment portal
• Glassdoor Jobs Feed — Global job listings with salary data
• Indeed Jobs Feed — Global job listings