Glints Job Scraper — SEA Jobs & Salaries

What does Glints Job Scraper do?

Glints Job Scraper extracts structured job data from glints.com — including salary data, apply URLs, company metadata, full descriptions, remote-work indicators, 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.

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Key features

• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, and webhook alerts out of the box. Pair with incremental mode for daily new-listing alerts.
• 📋 Detail enrichment — toggle two-stage scraping: collect listings, then enrich each with the full description and detail-page fields. Off by default to keep runs fast.
• 🎯 Batch searches — pass ["term1", "term2"] for query, location, or city to run multiple searches in one go — shared dedup state, single dataset, one Actor-Start charge.
• 📧 Email + phone extraction — 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[] and a structured socialProfiles object (linkedin, twitter, instagram, facebook, youtube, tiktok, github, xing).
• 📦 Compact mode — AI-agent and MCP-friendly payloads with core fields only.
• ✂️ Description truncation — cap length with descriptionMaxLength to control LLM prompt cost and dataset size — 0 for full descriptions.
• 📌 Change classification — each record carries a changeType: NEW / UPDATED / UNCHANGED / REAPPEARED / EXPIRED. Default emits NEW + UPDATED + REAPPEARED; opt into the rest via emitUnchanged / emitExpired.
• 🔌 MCP connectors — export 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.
• 📝 Description format selection — pick one representation — text, html, or markdown — and the unused variants drop from each record, halving payload size.
• ♻️ Incremental mode — recurring runs emit and charge only for new or changed listings. First run builds the baseline; later runs emit NEW / UPDATED / REAPPEARED. Saves 80–95% on daily monitoring.

What data can you extract from glints.com?

Each result includes Core job fields (jobId, location, url, portalUrl, extractedUrls, socialProfiles, searchQuery, and contentQuality, and more), detail fields when enrichment is enabled (description, descriptionText, descriptionHtml, descriptionMarkdown, and benefits), apply information (applyUrl), and company metadata (company, companyLogo, companyIndustry, and companyVerified). 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 keyword(s), e.g. "software engineer". Leave empty to browse the newest jobs for the selected country. Paste a JSON array (e.g. ["developer","designer"]) to run several searches in one run.
• country — Which Southeast Asian market to search. (default: "ID")
• jobType — Filter by employment type. Leave empty for all types. Each filter also widens coverage (Glints caps results per search, so filtering pulls a fresh result set). (default: "")
• workArrangement — Filter by on-site / hybrid / remote. Leave empty for all. (default: "")
• educationLevel — Filter by minimum education. Leave empty for all. (default: "")
• minSalary — Only jobs offering at least this amount (in the currency below). Leave 0 to disable. (default: 0)
• salaryCurrency — Currency for the minimum salary filter (e.g. IDR, VND, SGD, MYR, TWD). Match the selected country.
• lastUpdated — Only jobs posted/updated within this window. (default: "ANY_TIME")
• sortBy — Result ordering. Relevance (default) or newest first. (default: "")
• maxResults — Maximum total results (0 = unlimited). Note: Glints returns up to ~79 jobs per keyword+country search — use several keywords to widen coverage. (default: 25)
• includeDetails — Fetch full job details. (default: true)
• descriptionMaxLength — Truncate description to N chars. 0 = no truncation. (default: 0)
• ...and 21 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
}

Filtered search — Narrow results with advanced filters — only matching jobs are returned.

→ Same field set as basic search; fewer, more relevant rows.

{
  "query": "software engineer",
  "jobType": "FULL_TIME",
  "educationLevel": "PRIMARY_SCHOOL",
  "workArrangement": "ONSITE",
  "maxResults": 100
}

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 filtered output — Combine filters with compact mode for a lightweight AI-agent or MCP data source.

→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.

{
  "query": "software engineer",
  "jobType": "FULL_TIME",
  "educationLevel": "PRIMARY_SCHOOL",
  "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": "009deb36d7eaf752a8da0274d7ad6cedd52ef5b877b884615ca42a3b44f36428",
  "company": "PT. BEONE OPTIMA SOLUSI",
  "location": "Cipondoh, Tangerang, Banten, Indonesia",
  "description": "Job Description\nBertanggung jawab mengembangkan, memelihara, dan meningkatkan aplikasi web baik frontend maupun backend menggunakan teknologi JavaScript. Berkolaborasi dengan tim untuk membangun siste...",
  "descriptionText": "Job Description\nBertanggung jawab mengembangkan, memelihara, dan meningkatkan aplikasi web baik frontend maupun backend menggunakan teknologi JavaScript. Berkolaborasi dengan tim untuk membangun siste...",
  "descriptionHtml": "<p>Job Description</p><p>Bertanggung jawab mengembangkan, memelihara, dan meningkatkan aplikasi web baik frontend maupun backend menggunakan teknologi JavaScript. Berkolaborasi dengan tim untuk memban...",
  "descriptionMarkdown": "Job Description\nBertanggung jawab mengembangkan, memelihara, dan meningkatkan aplikasi web baik frontend maupun backend menggunakan teknologi JavaScript. Berkolaborasi dengan tim untuk membangun siste...",
  "url": "https://glints.com/id/opportunities/jobs/software-engineer/bc932c0b-3749-4e8c-8195-a11831888002",
  "applyUrl": "https://glints.com/id/opportunities/jobs/software-engineer/bc932c0b-3749-4e8c-8195-a11831888002",
  "portalUrl": "https://glints.com/id/opportunities/jobs/software-engineer/bc932c0b-3749-4e8c-8195-a11831888002",
  "benefits": [
    "THR",
    "Career Path",
    "Work Insurance",
    "Health Insurance"
  ],
  "searchQuery": "software engineer",
  "contentQuality": "full",
  "detailFetched": true,
  "scrapedAt": "2026-07-16T21:12:50.627Z",
  "source": "glints.com",
  "contentHash": "be9198afd1169de8d74a4b9c3af0fb86a0b7b11ccd18901d4260b7c78d992ce6",
  "jobKey": "bc932c0b-3749-4e8c-8195-a11831888002",
  "title": "software engineer",
  "status": "OPEN",
  "isHot": false,
  "acceptsForeignApplications": false,
  "companyLogo": "https://images.glints.com/unsafe/glints-dashboard.oss-ap-southeast-1-internal.aliyuncs.com/company-logo/9c4ef3b15fc76a705217a69a88745ede.png",
  "companyIndustry": "Information Technology and Services",
  "companyVerified": true,
  "companyWebsite": "http://www.beonesolution.com",
  "companyEmployeeRange": "51-200",
  "companyDescription": "BEONE SOLUTION - PT BEONE OPTIMA SOLUSI is a Business and fastest growing IT Solution Company located in Tangerang, Indonesia. As an SAP Business One Partner, we provide ERP solutions to small and med...",
  "validThrough": "2026-08-16",
  "countryCode": "ID",
  "salaryText": "IDR 5,500,000 - 8,000,000 / month",
  "salaryMin": 5500000,
  "salaryMax": 8000000,
  "salaryCurrency": "IDR",
  "salaryType": "MONTH",
  "shouldShowSalary": true,
  "employmentType": "CONTRACT",
  "workArrangement": "ONSITE",
  "isRemote": false,
  "educationLevel": "HIGH_SCHOOL",
  "experienceLevel": "1 - 3 years",
  "jobCategory": "Full Stack Developer",
  "skills": [
    "AI Systems",
    "GIT",
    "JavaScript",
    "C#",
    "Node.js",
    "... 5 more items"
  ],
  "postedAt": "2026-07-16T16:28:56.823Z",
  "updatedAt": "2026-07-16T16:28:56.823Z"
}

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.
• 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 glints.com

1. Go to Glints Job Scraper 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 glints.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 glints.com?

Glints Job Scraper 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: $0.0009 per job record

Example costs:

• 10 results: $0.0095
• 25 results: $0.023
• 100 results: $0.09
• 200 results: $0.18
• 500 results: $0.45

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 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.09	$0.005	$0.09 (94%)	$0.15
15% — moderate broad query	$0.09	$0.01	$0.08 (85%)	$0.42
30% — high-volume aggregator	$0.09	$0.03	$0.06 (70%)	$0.82

Full re-scrape monthly cost at daily polling: $2.71. First month with incremental costs $0.24 / $0.50 / $0.89 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from glints.com?

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

Does Glints Job Scraper 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 Glints Job Scraper with other apps?

Yes. Glints Job Scraper 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 Glints Job Scraper 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 Glints Job Scraper 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 glints.com?

This actor extracts publicly available data from glints.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

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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

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