Shine [Just 💰$0.79] — India Job Listings

What does Shine do?

Shine extracts structured job data from shine.com — including salary data, apply URLs, company metadata, full descriptions, and skill tags. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook out of the box. Pair with incremental for daily new-listing alerts without pipeline glue.
• 🔗 Paste-mode — paste any shine URL straight from your browser — single-listing pages, search-results URLs, or category SEO URLs. Mix freely with keyword and IDs in the same run; results dedupe by ID.
• 🎯 Batch searches — pass ["term1", "term2"] for query, location, or city to batch multiple searches in one run — shared dedup state, single dataset, one Actor-Start charge instead of N.
• 📧 Email + phone extraction — best-effort regex extraction of contact emails and phone numbers from descriptions — emitted as extractedEmails[] and extractedPhones[] on every record.
• 🔗 URL + social-profile extraction — every record carries extractedUrls[] plus a structured socialProfiles { linkedin, twitter, instagram, facebook, youtube, tiktok, github, xing } parsed from the description.
• 📦 Compact mode — AI-agent and MCP-friendly payloads with core fields only.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📌 Change classification — each record carries a changeType of NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the others with emitUnchanged / emitExpired. Repost detection flags previously-expired listings that come back.
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.
• 📝 Description format selection — pick a single description representation — text, html, or markdown — and the unused variants are dropped from each record. Halves payload size when your pipeline only consumes one format.
• ♻️ Incremental mode — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline; subsequent runs emit only NEW / UPDATED / REAPPEARED records (UNCHANGED + EXPIRED opt-in). Saves 80–95% on daily monitoring.

What data can you extract from shine.com?

Each result includes Core job fields (jobId, jobKey, title, location, locations, salaryText, salaryMin, and salaryMax, and more), detail fields when enrichment is enabled (description, descriptionText, descriptionHtml, descriptionMarkdown, and descriptionLength), apply information (applyUrl), and company metadata (company, clientCompany, companyId, and companyLogo). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• query — Job search keywords. Use JSON array for multi-query.
• country — Which shine.com market to search. (default: "IN")
• location — City, state, or region. Use JSON array for multi-location.
• startUrls — Direct search or job detail URLs.
• maxResults — Maximum total job listings to return (0 = unlimited). (default: 25)
• maxPages — Maximum result pages to fetch per search. (default: 5)
• experience — Filter by required years of experience.
• salaryBand — Filter by annual salary band (Indian Lakh brackets).
• experienceFrom — Keep only jobs whose required experience overlaps this minimum (in years). Precise range filter applied to each job's parsed experience — finer than the band selector above.
• experienceTo — Keep only jobs whose required experience overlaps this maximum (in years). Combine with Experience From for an exact range, e.g. 4 to 7 years.
• industryId — Advanced. Restrict results to a specific industry id (e.g. "18" for IT Services & Consulting).
• includeRecruiterContact — Add the recruiter's phone and email to each record where the listing provides them. Off by default — these are personal contact details, so enable only if you have a lawful basis to process them. (default: false)
• ...and 23 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "software engineer",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "software engineer",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "software-engineer-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "software engineer",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "5379c011988ca3a900dc7f0a52ec7fd1ac74097d5ab10b0b08a411e8df7f544d",
  "jobKey": "19075642",
  "title": "Software Engineer",
  "company": "Jobsplan Dot Com",
  "companyId": "674874",
  "location": "Manesar",
  "locations": [
    "Manesar"
  ],
  "description": "JOB DESCRIPTION Job title: Software Engineer Base location: Manesar Experience: Minimum 3-6 years About the role Development and support for Track and Trace software. Windows application development u...",
  "descriptionText": "JOB DESCRIPTION Job title: Software Engineer Base location: Manesar Experience: Minimum 3-6 years About the role Development and support for Track and Trace software. Windows application development u...",
  "descriptionHtml": "<p><strong>JOB DESCRIPTION</strong></p>\r\n<p>Job title: Software Engineer<br /> Base location: Manesar</p>\r\n<p>Experience: Minimum 3-6 years</p>\r\n<p><strong>About the role</strong></p>\r\n<p>Development...",
  "descriptionMarkdown": "**JOB DESCRIPTION**\n\n\r\n\nJob title: Software Engineer\nBase location: Manesar\n\n\r\n\nExperience: Minimum 3-6 years\n\n\r\n\n**About the role**\n\n\r\n\nDevelopment and support for Track and Trace software.\nWindows a...",
  "descriptionLength": 1176,
  "employmentType": "FULL_TIME",
  "engagementType": "Regular",
  "isWalkin": false,
  "experienceLabel": "2 to 7 Yrs",
  "experienceMinYears": 2,
  "experienceMaxYears": 7,
  "industry": "Automation",
  "skills": [
    "software support",
    "software development",
    "software engineer"
  ],
  "vacancies": 1,
  "postedAt": "2026-05-20T00:00:00",
  "validThrough": "2026-07-19T00:00:00",
  "canonicalUrl": "https://www.shine.com/jobs/software-engineer/jobsplan-dot-com/19075642",
  "applyUrl": "https://www.shine.com/jobs/software-engineer/jobsplan-dot-com/19075642",
  "sourceUrl": "https://www.shine.com/jobs/software-engineer/jobsplan-dot-com/19075642",
  "sourceCountry": "IN",
  "sourceDomain": "www.shine.com",
  "searchQuery": "software engineer",
  "searchUrl": "https://www.shine.com/job-search/software-engineer-jobs",
  "fetchedAt": "2026-07-16T10:43:40.379Z",
  "contentQuality": "full",
  "contentHash": "8a42387a62bcca2ce3c718bdda1dea998d898f16de048003341e569a76982dd3"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape shine.com

1. Go to Shine in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from shine.com for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.

How much does it cost to scrape shine.com?

Shine uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.0005 per run
• Per result: $0.00079 per job record

Example costs:

• 10 results: $0.0084
• 25 results: $0.02
• 100 results: $0.08
• 200 results: $0.16
• 500 results: $0.4

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 100 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.08	$0.00445	$0.08 (94%)	$0.13
15% — moderate broad query	$0.08	$0.01	$0.07 (84%)	$0.37
30% — high-volume aggregator	$0.08	$0.02	$0.06 (70%)	$0.73

Full re-scrape monthly cost at the same cadence: $2.39. First month with incremental costs $0.21 / $0.44 / $0.78 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage is included in the per-result fee shown above.

FAQ

How many results can I get from shine.com?

The number of results depends on the search query and available jobs on shine.com. Use the maxResults parameter to control how many results are returned per run.

Does Shine support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Shine with other apps?

Yes. Shine works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Shine with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Shine through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape shine.com?

This actor extracts publicly available data from shine.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on shine.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Shine's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to Shine.

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