Shine.com Jobs Scraper

Scrape job listings from Shine.com — India's leading job portal with over 40 million registered job seekers and 500,000+ active listings. Extract structured data including job title, company, salary, location, experience level, and full job description. No API key required.

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Why this scraper?

🔍 Keyword + Location Search

Search by any job title, skill, or keyword and optionally narrow results to a specific Indian city or region — Bangalore, Mumbai, Delhi, Pune, Hyderabad, Chennai, and more.

💰 Salary Data Included

Shine.com publishes salary ranges for many listings. The scraper returns both the raw salary string and parsed numeric min/max values (in INR) and period (monthly/annual).

📋 Full Job Descriptions

Every listing includes the complete HTML job description, plain text version, and Markdown-formatted version — ready for NLP pipelines, LLM fine-tuning, or structured analysis.

📅 Freshness Filtering

Use the daysOld parameter to limit results to jobs posted within the last N days — ideal for daily monitoring feeds.

♻️ Cross-Run Deduplication

The skipReposts option tracks jobs already seen across previous runs (90-day TTL) and skips them — eliminating duplicate processing costs.

🔗 Custom Start URLs

Supply your own Shine.com job-search URLs directly to scrape any combination of keyword and location.

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Input parameters

Parameter	Type	Default	Description
searchQuery	string	""	Keyword(s) to search for, e.g. Python developer, marketing manager. Leave empty to browse all jobs.
location	string	""	City or region filter, e.g. Bangalore, Mumbai, Pune. Leave empty for all locations.
maxResults	integer	100	Maximum number of listings to return.
daysOld	integer	0	Only return jobs posted within this many days. 0 = no age filter.
skipReposts	boolean	false	Skip listings already seen in previous runs.
requestDelayMs	integer	1000	Minimum delay between requests in milliseconds.
respectRobotsTxt	boolean	true	Check robots.txt crawl-delay on startup.
startUrls	array	[]	Specific Shine.com job-search URLs to scrape. When provided, searchQuery and location are ignored.

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Output schema

Always present

Field	Type	Description
id	string	Unique Shine.com job ID
url	string	Direct link to the job listing on Shine.com
title	string	Job title
company	string | null	Employer name
companyId	string | null	Shine.com internal company identifier
locations	array	All listed cities/regions (can be multiple)
city	string | null	Primary location (first in locations array)
experience	string | null	Required experience range, e.g. 3 to 7 Yrs
industry	string | null	Industry sector
keywords	array	Skills/keywords listed by the employer
vacancies	integer | null	Number of open positions
employmentType	string | null	Regular, Contractual, Internship, or Work from Home
jobType	string | null	Full-time or Part-time
contractType	string | null	Permanent or Walkin
workMode	string | null	On-site, Hybrid, or Remote
isTopCompany	boolean	Whether the posting is from a top-ranked company on Shine.com
isEarlyApplicant	boolean	Whether applying now qualifies as an early applicant
applicantCount	integer | null	Number of applicants, when disclosed by the platform
expiryDate	string | null	Listing expiry date (YYYY-MM-DD)
salaryRaw	string | null	Raw salary string as published, e.g. Rs 14 - 26 Lakh/Yr
salaryMin	number | null	Parsed minimum salary in INR
salaryMax	number | null	Parsed maximum salary in INR
salaryCurrency	string | null	Currency code, always INR when present
salaryPeriod	string | null	YEAR or MONTH
descriptionHtml	string | null	Full job description as HTML
descriptionText	string | null	Plain-text version of the job description
descriptionMarkdown	string | null	Markdown-formatted job description
publishDate	string | null	Posting date (YYYY-MM-DD)
publishDateISO	string | null	Posting date in ISO 8601 format
scrapedAt	string	Timestamp when this record was scraped
source	string	Always shine.com
contentHash	string	MD5 fingerprint of the job ID for deduplication
isRepost	boolean	true if this job was seen in a previous run
originalPublishDate	string | null	Date from the first time this job was seen (if isRepost)
originalUrl	string | null	URL from the first time this job was seen (if isRepost)

Privacy note: Recruiter emails, phone numbers, and company logo URLs are explicitly excluded from all output.

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Example record

{
  "id": "19140424",
  "url": "https://www.shine.com/jobs/mega-hiring-drive-international-voice-process/waterleaf-consultants-p-ltd/19140424",
  "title": "Mega Hiring Drive | International Voice Process",
  "company": "WATERLEAF CONSULTANTS (P) LTD.",
  "companyId": "500656",
  "locations": [
    "Hyderabad"
  ],
  "city": "Hyderabad",
  "experience": "0 Yrs",
  "industry": "BPO / Call Center",
  "keywords": [
    "international voice process",
    "excellent communication",
    "fresher",
    "st"
  ],
  "vacancies": 10,
  "employmentType": "Regular",
  "jobType": "Full-time",
  "contractType": "Permanent",
  "workMode": "On-site",
  "isTopCompany": false,
  "isEarlyApplicant": true,
  "applicantCount": null,
  "expiryDate": "2026-08-22",
  "salaryRaw": null,
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "salaryPeriod": null,
  "descriptionHtml": "<p>Now Hiring International Voice Process <strong>(Contract-Based Opportunity)</strong></p>\r\n<p><strong>Eligibility:</st …",
  "descriptionText": "Now Hiring International Voice Process (Contract-Based Opportunity) Eligibility: Any Graduate / Any Post Graduate Pass-o …",
  "descriptionMarkdown": "Now Hiring International Voice Process **(Contract-Based Opportunity)**\n\n**Eligibility:**  \nAny Graduate / Any Post Grad …",
  "publishDate": "2026-06-23",
  "publishDateISO": "2026-06-23T20:26:56.000Z",
  "scrapedAt": "2026-06-24T16:54:32.579Z",
  "source": "shine.com",
  "contentHash": "10e7a9da2f9f6861",
  "isRepost": false,
  "originalPublishDate": null,
  "originalUrl": null
}

Sample output

{
  "id": "19049753",
  "url": "https://www.shine.com/job/c-net-wpf-developer/evoke-hr-solutions-pvt-ltd/19049753",
  "title": "C .NET WPF Developer",
  "company": "Evoke HR Solutions Pvt. Ltd.",
  "companyId": "772469",
  "locations": ["Bangalore"],
  "city": "Bangalore",
  "experience": "3 to 7 Yrs",
  "industry": "IT Services & Consulting",
  "keywords": [".net", "mvc", "wpf", "c#", "wpf developer"],
  "vacancies": 4,
  "employmentType": "Regular",
  "jobType": "Full-time",
  "contractType": "Permanent",
  "workMode": "On-site",
  "isTopCompany": false,
  "isEarlyApplicant": false,
  "applicantCount": null,
  "expiryDate": "2026-07-03",
  "salaryRaw": null,
  "salaryMin": null,
  "salaryMax": null,
  "salaryCurrency": null,
  "salaryPeriod": null,
  "descriptionHtml": "<p><strong>Job Summary</strong></p>...",
  "descriptionText": "Job Summary We are looking for a skilled C# .NET Developer...",
  "descriptionMarkdown": "**Job Summary**\n\nWe are looking for a skilled...",
  "publishDate": "2026-05-05",
  "publishDateISO": "2026-05-05T07:41:22.000Z",
  "scrapedAt": "2026-05-06T12:00:00.000Z",
  "source": "shine.com",
  "contentHash": "a3f8c1d2e9b47056",
  "isRepost": false,
  "originalPublishDate": null,
  "originalUrl": null
}

---

Examples

1. Search Python developer jobs in Bangalore

{
  "searchQuery": "Python developer",
  "location": "Bangalore",
  "maxResults": 200
}

2. All finance jobs posted in the last 7 days (nationwide)

{
  "searchQuery": "finance",
  "daysOld": 7,
  "maxResults": 500
}

3. Custom start URLs — scrape specific search pages

{
  "startUrls": [
    { "url": "https://www.shine.com/job-search/data-engineer-jobs-in-pune" },
    { "url": "https://www.shine.com/job-search/machine-learning-jobs-in-bangalore" }
  ],
  "maxResults": 1000
}

4. Daily feed — fresh jobs only, skip reposts

{
  "searchQuery": "software engineer",
  "location": "Mumbai",
  "daysOld": 1,
  "skipReposts": true,
  "maxResults": 500
}

5. Work from home jobs

{
  "searchQuery": "work from home",
  "maxResults": 300
}

---

💰 Pricing

$0.99 per 1,000 results — you only pay for successfully retrieved listings. Failed retries and filtered reposts are never charged.

Results	Cost
100	~$0.1
1,000	~$0.99
10,000	~$9.9
100,000	~$99

Flat-rate alternatives typically charge $29–$49/month regardless of usage.

Use the Max results cap in the input to control your spend exactly.

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Performance

Run size	Approx. time
100 jobs	~25 seconds
1,000 jobs	~4 minutes
10,000 jobs	~40 minutes

Performance depends on Shine.com server response times. No proxy required — datacenter IPs are accepted by the platform.

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Known limitations

• Shine.com is India-focused. Listings are predominantly for the Indian market.
• Salary data is only available for listings where the employer has disclosed it.
• Individual recruiter contact details (email, phone) are excluded from output per privacy policy.
• The daysOld filter uses the job's posting timestamp and may include pinned/featured jobs with refreshed dates.
• workMode reflects the platform's own classification (jWM field); the majority of listings are On-site. Use employmentType: "Work from Home" to filter remote roles.

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Technical details

• Source: shine.com — India's leading job portal (40M+ registered job seekers)
• Push notifications: get new results delivered to Telegram, Discord, Slack, WhatsApp or any webhook the moment a scheduled run finds them
• Architecture: Direct REST API (/api/v2/search/simple/) — no HTML parsing, no buildId dependency
• Memory: 512 MB
• Repost storage: KeyValueStore shine-scraper-job-dedup, 90-day TTL
• Retry: Automatic retry on network errors, exponential backoff, 3 attempts per request

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Additional services

Need a custom actor, additional filters, scheduled runs, or integration support?.nl](mailto:info@unfencedgroup.nl) — we build on request.

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Related scrapers

Other scrapers in our Jobs — India collection:

• Naukri.com Job Scraper
• TimesJobs.com Jobs Scraper
• Internshala Scraper
• Dice.com Jobs Scraper

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Run it on a schedule

This actor is built for repeat use. Set it to run daily, weekly, or hourly, and the data keeps flowing without you touching it.

• Schedule runs — open the actor, go to Schedules, and pick a cadence. Each run only charges you for the results it returns.
• Connect it to your stack — push results straight to Google Sheets, Slack, a webhook, or your database using Apify Integrations. No glue code needed.
• Pull results via API — every run writes a clean dataset you can fetch with one API call, ready for whatever you build on top of it.

Set it once and it runs on its own.

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Rate this actor

If this scraper does its job, a short review on the Reviews tab helps other users find it. Something not working? Open an issue on the Issues tab instead — issues get fixed.

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Need a custom scraper?

Unfenced Group builds Apify actors for any website — for free.

If the site you need isn't in our portfolio yet, just ask. We scope, build, and publish it at no cost to you. You only pay for results — we absorb the compute and proxy costs ourselves. Same pay-per-result pricing, same quality, same standards as every actor in this portfolio.

Get in touch: www.unfencedgroup.nl