Shine.com Jobs Scraper: India Jobs, Skills, Companies & Descriptions

Shine.com Jobs Scraper extracts job listings from Shine.com, one of India's biggest job portals. For every job you get the title, company, locations, experience required, salary (when disclosed), skills, posting date, full job description, industry, functional area, employment type, region and expiry date. Search any keyword in any Indian city and export to CSV, Excel or JSON.

What does Shine.com Jobs Scraper do?

Shine lists hundreds of thousands of jobs across IT, sales, finance, BPO, engineering, healthcare and more. This scraper turns any Shine search into a clean job dataset:

• 🔎 Any keyword: Data Analyst, Python, Sales Executive, Accountant, Customer Support, Java Developer…
• 🏙️ Any city: Bangalore, Mumbai, Delhi NCR, Hyderabad, Pune, Chennai, Kolkata, or all of India.
• 🧠 Skills and experience: required skills and experience range for every job.
• 🏢 Company details: company name, ID and logo.
• 📝 Full description, plus industry, functional area and employment type.
• 📅 Dates: posting date and "valid through" date.

What data can you scrape from Shine.com?

Field	Description
Job ID, title, link	Shine job identifier and page
Company	Name, ID and logo
Locations	Job cities
Region	State
Experience	Experience range (e.g. 1 to 5 Yrs) and minimum years
Salary	Salary text, when disclosed
Skills	Key skills
Description	Full job description
Industry	Company industry
Functional area	Job function
Employment type	Full time, part time, contract…
Posted / valid through	Dates
Badges	Actively hiring, early applicant…
Instant apply	Whether quick apply is available

Use cases for Indian job data

• Recruitment and staffing agencies: find companies hiring for the roles you place, city by city.
• Sales prospecting: companies with many openings are growing and make good B2B leads.
• Skills demand analysis: track the most requested skills by role and city.
• Job aggregators and Telegram channels: publish fresh Indian jobs automatically.
• Salary and market research: compare experience requirements and pay across industries.

How to scrape Shine.com jobs

1. Click Try for free to open Shine.com Jobs Scraper in Apify Console.
2. Enter job titles or keywords and, optionally, a city.
3. Keep Include full job description on for the job text and extra details.
4. Set Max jobs and click Start.
5. Download the jobs as CSV, Excel or JSON.

Input

Example input

{
  "keywords": ["Data Analyst", "Python Developer"],
  "location": "Bangalore",
  "includeDetails": true,
  "maxItems": 500
}

Field	Description
Job titles or keywords	One search per keyword.
City	Optional Indian city. Empty = all of India.
Shine search links	Optional search links copied from Shine.com.
Include full job description	Adds description, industry, functional area, employment type and dates.
Max jobs	Stop after this many jobs (0 = no limit).

Output

Job example

{
  "jobId": "19554230",
  "title": "Data Analyst",
  "company": "Capgemini",
  "url": "https://www.shine.com/jobs/data-analyst/capgemini/19554230",
  "locations": ["Bangalore"],
  "experience": "1 to 5 Yrs",
  "salary": null,
  "skills": ["Software Engineering", "Software Development", "Programming"],
  "postedAt": "2026-09-16T08:49:35Z",
  "description": "Job Description Works in the area of Software Engineering…",
  "employmentType": "FULL_TIME",
  "industry": "IT Services & Consulting",
  "functionalArea": "General / Other Software",
  "minExperienceYears": 1,
  "region": "Karnataka",
  "validThrough": "2026-11-15T08:49:32+05:30"
}

Output schema

Field	Type	Description
jobId	string	Shine job ID.
title	string	Job title.
company, companyId, companyLogo	string	Company details.
url	string (URL)	Job page.
locations	array	Job cities.
experience	string	Experience range.
salary	string	Salary, when disclosed.
skills	array	Key skills.
badges	array	Job badges.
isInstantApply	boolean	Quick apply available.
postedAt	string (ISO date)	Posting date.
description	string	Full job description.
employmentType	string	Employment type.
industry	string	Industry.
functionalArea	string	Functional area.
minExperienceYears	number	Minimum experience in years.
region	string	State.
validThrough	string	Expiry date.
directApply	boolean	Direct apply supported.
source	string	Search that found the job.
scrapedAt	string (ISO date)	When the row was collected.

How much does it cost to scrape Shine.com?

Shine.com Jobs Scraper uses pay-per-job pricing: a small fixed price per job, with automatic discounts on higher Apify plans. See the Pricing tab for the exact price.

More Indian job data

• Naukri Scraper: jobs from Naukri.com.
• Apna Jobs Scraper: blue- and grey-collar jobs from apna.co.
• LinkedIn Jobs Scraper: jobs from LinkedIn.

FAQ

How many jobs can I get? Everything that matches your search, often thousands per keyword. Set Max jobs to 0 to collect them all.

Can I search by city? Yes. Enter a city such as Pune or Hyderabad, or paste a Shine search link for any custom filter.

Is the salary included? When the employer discloses it. Many Indian listings say "Not Disclosed", and those return salary: null.

How fresh is the data? Every run reads live listings, and postedAt shows when each job was posted.

What formats can I export? CSV, Excel, JSON, XML, HTML and RSS, or read the results through the Apify API.

Can I integrate Shine.com Jobs Scraper with other apps? Shine.com Jobs Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JS/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes.

Is it legal to scrape Shine.com? The scraper only collects publicly listed job offers. You are responsible for using the data in line with Shine's terms and Indian data protection law.

Related Actors

• Naukri Scraper
• Indeed Scraper

Notes

Original clean-room implementation. Returns only public data; you are responsible for compliance with Shine's terms. Not affiliated with Shine.com.