Shine.com Jobs Scraper

hipersoft/shine-jobs-scraper

Scrape jobs from Shine.com, one of India's largest job portals: title, company, location, experience, salary, skills, posted date and full job description with industry, functional area and employment type. Search any keyword and city. Export CSV/JSON.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job

$0.002

Last rebuilt

Oct 26, 2026

Overview

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

Click Try for free to open Shine.com Jobs Scraper in Apify Console.
Enter job titles or keywords and, optionally, a city.
Keep Include full job description on for the job text and extra details.
Set Max jobs and click Start.
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.

Notes

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

Input

Field	Type	Description
`keywords` Job titles or keywords	array	What to search for, e.g. Data Analyst, Python, Sales Executive, Accountant. Each keyword is a separate search.
`location` City	string	Optional Indian city, e.g. Bangalore, Mumbai, Delhi, Hyderabad, Pune, Chennai. Leave empty for all of India.
`startUrls` Shine search links	array	Optional: Shine job search links, e.g. https://www.shine.com/job-search/python-jobs-in-pune. Used in addition to the keywords.
`includeDetails` Include full job description	boolean	Open each job to add the full description, industry, functional area, employment type, region and expiry date. Default: `true`
`maxItems` Max jobs	integer	Stop after this many jobs. 0 means no limit. Default: `200`
`proxyConfiguration` Proxy configuration	object	Not required for normal use. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~shine-jobs-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "keywords": [
    "Data Analyst"
  ],
  "location": "Bangalore",
  "maxItems": 50
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/shine-jobs-scraper").call(run_input={
    "keywords": [
        "Data Analyst"
    ],
    "location": "Bangalore",
    "maxItems": 50
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/shine-jobs-scraper').call({
  "keywords": [
    "Data Analyst"
  ],
  "location": "Bangalore",
  "maxItems": 50
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job One Shine.com job in the dataset.	$0.002	$0.001

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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