JobsDB Scraper — Hong Kong & Thailand Job Listings avatar

JobsDB Scraper — Hong Kong & Thailand Job Listings

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JobsDB Scraper — Hong Kong & Thailand Job Listings

JobsDB Scraper — Hong Kong & Thailand Job Listings

Scrape JobsDB Hong Kong & Thailand (SEEK platform). Salary, full descriptions, company intelligence (logo, reviews, perks), and optional applicant-demand signals to spot low-competition roles. Incremental mode emits only new and changed listings. Compact output for AI agents.

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from $0.99 / 1,000 results

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Black Falcon Data

Black Falcon Data

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10

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2 days ago

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What does JobsDB Scraper do?

JobsDB Scraper extracts structured job data from jobsdb.com across Hong Kong (hk.jobsdb.com) and Thailand (th.jobsdb.com) — including salary data, employer profiles, contact details, work arrangements, and full job descriptions. It supports keyword search, location filters, classification and salary-range filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and screening questions) 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

  • 🌏 Two-market coverage — one actor covers both JobsDB markets: Hong Kong (hk.jobsdb.com) and Thailand (th.jobsdb.com). One input shape across both markets.
  • ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records by default. First run builds the baseline; later runs emit only the diff.
  • 🔔 Notifications out of the box — Telegram, Slack, Discord, WhatsApp Cloud API, and generic webhook. Pair with incremental + notifyOnlyChanges for daily new-job alerts.
  • 🔗 Paste-mode URLs — paste JobsDB search-results URLs, category pages, or single job detail URLs. Build the search in JobsDB's UI, copy, paste, run.
  • 🎯 Batch searches — pass multiple keywords or locations in one run. One dedup state across all sources, one dataset, one Actor-Start charge instead of N.
  • 🔬 Post-filter pipeline — narrow results after collection with includeKeywords, excludeKeywords, keyword field toggles, customFilters, fromDate, toDate, and maxAgeMinutes.
  • 💰 Structured salary — parse salaryText into salaryMin / salaryMax / salaryCurrency / salaryType automatically. HKD for HK, THB for TH.
  • ⭐ Job score v0jobScore and jobScoreReasons[] summarize transparent signals: parseable salary, full detail content, and posting recency. The v0 formula may evolve.
  • 📋 Two-stage detail enrichment — toggle includeDetails: true to fetch full descriptions, employer profile fields, screening questions, apply links, and work-arrangement tags.
  • 👥 Applicant demand signals — opt in with includeApplicantInsights to add applicantCount, applicantVolumeLabel (e.g. "High application volume"), and coverLetterPercentage to each job. Spot low-competition roles and gauge hiring demand. Available on standard-apply listings; external-apply listings return null.
  • 🏢 Company intelligence — when details are on, each job also carries companyLogo, companyCoverImageUrl, companyDescription, companyPerks, companyReviewRating / companyReviewCount, companySearchUrl, companyIndustry / companySize / companyWebsite, and isVerifiedAdvertiser. Populated for listings with a SEEK company profile; logo falls back to the ad's own branding.
  • 📧 Email + phone extractionextractedEmails[] and extractedPhones[] are pulled from job descriptions for outreach and enrichment workflows.
  • 📦 Compact mode — AI-agent and MCP-friendly payloads with core fields, score metadata, and change metadata for LLM, ATS, and salary-benchmarking pipelines.

What data can you extract from jobsdb.com?

Each result includes core listing fields (jobId, seekJobId, title, canonicalUrl, advertiserId, location, locationCountry, and locationState), detail fields when enrichment is enabled (roleId, description, descriptionHtml, descriptionMarkdown, and descriptionLength), contact and apply information (phoneNumber, applyUrl, and extractedEmails), company metadata (company, companyUrl, companyIndustry, companySize, companyWebsite, companyDescription, companyLogo, companyCoverImageUrl, companyPerks, companyReviewRating, companyReviewCount, companySearchUrl, isVerifiedAdvertiser), ranking fields (jobScore, jobScoreReasons), and — when includeApplicantInsights: true — applicant-demand fields (applicantCount, applicantVolumeLabel, coverLetterPercentage). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields plus score/change metadata are returned.

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. For a single term: software engineer. For multiple terms (OR — runs each as a separate search and merges results, deduplicated by job ID), use a JSON array, for example: ["ERP Implementation", "ERP Initiatives"].
  • country — Which JobsDB market to search. (default: "HK")
  • location — City, state, or region. For a single location: Hong Kong. For multiple locations, use a JSON array, for example: ["Hong Kong", "Bangkok"].
  • startUrls — Direct JobsDB search URLs. ✅ Valid shapes: https://hk.jobsdb.com/jobs (all jobs), https://hk.jobsdb.com/jobs-in-information-technology (category), https://th.jobsdb.com/jobs (Thailand market). ❌ The bare homepage (https://hk.jobsdb.com) is not accepted — use a /jobs path. These are additive: if you also enter a search term, both the query and the URLs are scraped.
  • maxResults — Maximum total job listings to return after client-side filters are applied (0 = unlimited). Cost control: Apify charges per emitted record, so this is your primary knob. If both maxResults and maxPages are set, the lower cap wins. (default: 25)
  • maxPages — Maximum SERP pages to scrape per search source. In incremental mode this defines the tracked search universe. This is a defensive safety bound — use maxResults for cost control. If both maxResults and maxPages are set, the lower cap wins. (default: 5)
  • sortMode — Sort results by relevance or date.
  • dateRange — Filter jobs posted within a time range (e.g. '1', '3', '7', '14', '31').
  • workType — Filter by work type code (e.g. '242' for Full Time on JobsDB).
  • workArrangement — Filter by work arrangement code (e.g. '2' for Remote).
  • classification — Filter by job classification/category code (e.g. '6281' for IT).
  • subClassification — Filter by job sub-classification code (e.g. '6287' for Developers/Programmers under IT).
  • includeKeywords — Comma-separated keywords that must appear in the built job record. By default this searches title, company, location, category, work type, salary text, teaser, description, and bullet points.
  • excludeKeywords — Comma-separated keywords to exclude. By default this checks title, company, teaser, description, and bullet points.
  • fromDate — Keep jobs posted on or after this date. Use YYYY-MM-DD or an ISO date/time.
  • toDate — Keep jobs posted on or before this date. Same date format as fromDate.
  • maxAgeMinutes — Keep only jobs posted within this many minutes. Records without a parseable posted date are kept.
  • customFilters — Advanced output-field filters. Example: [{"field":"jobScore","op":"gte","value":"3"},{"field":"contentQuality","op":"equals","value":"full"}]. Operators: includes, notIncludes, equals, notEquals, gt, gte, lt, lte.
  • compact — Output only core fields plus jobScore/change metadata for AI-agent/MCP workflows. (default: false)
  • incrementalMode — Compare against previous run state and emit NEW / UPDATED / REAPPEARED jobs by default. Leave stateKey empty to auto-derive it from search and filter inputs. (default: false)
  • includeApplicantInsights — Add applicant-demand fields to each job: applicantCount (number of applicants), applicantVolumeLabel (e.g. "High application volume"), and coverLetterPercentage. Useful for spotting low-competition roles and gauging hiring demand. Adds one extra request per job, so it is slightly slower. Coverage is partial — only standard-apply listings expose this data; jobs that apply on an external site return null for these fields. (default: false)
  • ...and 27 more parameters

Input examples

Basic keyword search — Find Hong Kong software jobs and enrich each result with full detail fields.

→ Structured job records with salary, company, description, apply URL, and contact fields where available.

{
"query": "software engineer",
"country": "HK",
"location": "Hong Kong",
"maxResults": 25,
"includeDetails": true
}

Paste a JobsDB search URL — Use a JobsDB search URL directly. URLs are additive, so you can combine them with normal search inputs.

→ Jobs from the pasted search URL with the same output schema as keyword searches.

{
"startUrls": [
"https://hk.jobsdb.com/software-engineer-jobs"
],
"maxResults": 10,
"includeDetails": true
}

Advanced filtered output — Enrich results, keep only matching jobs, and sort downstream by jobScore.

→ A compact filtered dataset suited for AI-agent and MCP workflows.

{
"query": "software engineer",
"country": "HK",
"maxResults": 25,
"includeKeywords": "python,typescript",
"excludeKeywords": "senior",
"customFilters": [
{
"field": "jobScore",
"op": "gte",
"value": "3"
},
{
"field": "contentQuality",
"op": "equals",
"value": "full"
}
],
"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": "2b7a71af2490afabab6291a716744969d6cd615751992d35500c20c07514c0de",
"seekJobId": "91615653",
"title": "Software Engineer",
"canonicalUrl": "https://hk.jobsdb.com/job/91615653",
"company": "Process Automation International Ltd",
"companyUrl": null,
"advertiserId": "61276721",
"location": "Tai Po District",
"locationCountry": "HK",
"locationState": "Tai Po District",
"locationSuburb": null,
"locationPostcode": null,
"salaryText": null,
"salaryMin": null,
"salaryMax": null,
"salaryCurrency": "HKD",
"salaryType": null,
"employmentType": "Full time",
"workArrangement": "onsite",
"category": "Information & Communication Technology",
"subCategory": "Engineering - Software",
"roleId": "software-engineer",
"teaser": "Responsibilities\n1. Perform Programming Development Duties\n2. Handle System Design of various application\n3. Perform System Testing, Documentation",
"bulletPoints": [
"Higher Diploma or Bachelor’s degree in Computer Science, IT, or related fields",
"Hands-on program coding in C, VB, Java, Node.js and C#",
"Knowledge of RDBMS, ideally MS SQL"
],
"description": "Responsibilities\n\nPerform Programming Development Duties\n\nHandle System Design of various application\n\nPerform System Testing, Documentation\n\nRequirements:\n\nHigher Diploma or Bachelor’s degree in Comp...",
"descriptionHtml": "<p><strong>Responsibilities</strong></p><ul><li><p>Perform Programming Development Duties</p></li><li><p>Handle System Design of&nbsp;various application</p></li><li><p>Perform System Testing, Documen...",
"descriptionMarkdown": "**Responsibilities**\n\n- Perform Programming Development Duties\n- Handle System Design of various application\n- Perform System Testing, Documentation\n\n**Requirements:**\n\n- Higher Diploma or Bachelor’s...",
"descriptionLength": 1151,
"contentQuality": "full",
"companyIndustry": null,
"companySize": null,
"companyWebsite": null,
"phoneNumber": null,
"screeningQuestions": [
"Which of the following programming languages are you experienced in?",
"Which of the following statements best describes your right to work in Hong Kong?",
"What's your expected monthly basic salary?",
"How many years' experience do you have as a software engineer?",
"How many years of Android development experience do you have?",
"How many years' experience do you have using SQL queries?"
],
"applyUrl": "https://hk.jobsdb.com/job/91615653?tracking=SHR-WEB-SharedJob-asia-1",
"postedDate": "2026-04-20T04:38:21.392Z",
"validThrough": "2026-05-20T13:59:59.999Z",
"contentHash": "82b21e610edff53b35e4ebe5037fe0843703c658d5ab45f36d924f2916be7b46",
"isSponsored": false,
"sourceUrl": "https://hk.jobsdb.com/job/91615653",
"sourceCountry": "HK",
"sourceDomain": "hk.jobsdb.com",
"searchQuery": "software engineer",
"searchUrl": "https://hk.jobsdb.com/jobs?keywords=software+engineer&where=Hong+Kong",
"scrapedAt": "2026-04-20T21:12:52.786Z",
"fetchedAt": "2026-04-20T21:12:52.786Z",
"detailFetched": true,
"extractedEmails": [],
"isRepost": null,
"repostOfId": null,
"repostDetectedAt": null
}

Incremental fields

When incremental: true, 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 jobsdb.com

  1. Go to JobsDB 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, contact info, 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 jobsdb.com for market research and competitive analysis.
  • Track salary trends across regions and categories over time.
  • Monitor new and changed listings on scheduled runs without processing the full dataset every time.
  • Build outreach lists using contact details and apply URLs from listings.
  • 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.

How much does it cost to scrape jobsdb.com?

JobsDB 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: $0.01 per run
  • Per result: $0.00099 per job record

Example costs:

  • 10 results: $0.02
  • 25 results: $0.03
  • 100 results: $0.11
  • 200 results: $0.21
  • 500 results: $0.51

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings 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 rateFull re-scrape run costIncremental run costSavings vs full re-scrapeMonthly cost after baseline
5% — stable niche query$0.11$0.01$0.09 (86%)$0.45
15% — moderate broad query$0.11$0.02$0.08 (77%)$0.75
30% — high-volume aggregator$0.11$0.04$0.07 (64%)$1.19

Full re-scrape monthly cost at daily polling: $3.27. First month with incremental costs $0.54 / $0.83 / $1.26 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 jobsdb.com?

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

Does JobsDB Scraper support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed listings 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 JobsDB Scraper with other apps?

Yes. JobsDB 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 JobsDB 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 JobsDB Scraper through an MCP Server?

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

This actor extracts publicly available data from jobsdb.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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  1. Sign up — $5 platform credit included
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