JobsDB Scraper

Scrape job listings from JobsDB — Thailand and Hong Kong.

Returns 38 structured fields per job, including the full job description, parsed salary range, classification and work arrangement. No login, no cookies, no browser automation.

Why this scraper

	This Actor
Speed	100 jobs with full descriptions in ~10 seconds
Descriptions	Included by default — not a paid extra that slows the run
Incremental mode	Returns only new / updated / expired jobs, with no speed penalty
Coverage	Both JobsDB sites (TH, HK) from a single input
Output	38 fields, consistent camelCase naming

It reads JobsDB's own JSON endpoints instead of rendering pages in a browser, which is why it stays fast even when descriptions are included.

Quick start

{
  "keyword": "developer",
  "country": "th",
  "maxResults": 100
}

That returns 100 developer jobs in Thailand with full descriptions.

Incremental mode — pay only for what changed

Running the same search every day usually means paying for the same jobs again. Turn on incrementalMode and the Actor compares against the previous run and returns only what actually changed:

{
  "keyword": "developer",
  "country": "th",
  "incrementalMode": true,
  "stateKey": "th-developer-daily"
}

Every record carries a changeType of new, updated, expired or unchanged. When a job is updated, changedFields tells you exactly what moved — title, salary or description. Unchanged jobs are filtered out unless you set emitUnchanged.

This costs no extra time: the comparison runs on data already fetched.

Input

Field	Type	Description
keyword	string	Job title or keyword, e.g. software developer
country	string	th, hk, sg, id, my, ph
location	string	City or region filter, e.g. Bangkok
startUrls	array	Direct JobsDB search URLs
maxResults	integer	Max jobs to return (0 = unlimited)
maxPages	integer	Max search pages to crawl
sortBy	string	relevance or date
dateRange	string	Posted within 1 / 3 / 7 / 14 / 30 days
workType	string	Full time, part time, contract, casual
salaryMin	integer	Minimum advertised salary
includeDescription	boolean	Full description text and HTML (default true)
incrementalMode	boolean	Only changed jobs
stateKey	string	Identifier for incremental comparison
emitUnchanged	boolean	Also return unchanged jobs
proxyConfiguration	object	Apify Proxy (required)

Output

Each job is one dataset item with 38 fields.

Identity — jobId, url, applyUrl, sourceCountry Core — title, company, companyId, companyUrl, teaser, bulletPoints Location — location, locationArea, locationCountry Classification — classification, classificationId, subClassification, subClassificationId Employment — workType, workArrangement Salary — salaryText, salaryMin, salaryMax, salaryCurrency, salaryPeriod Dates — postedAt, postedAtRelative, scrapedAt Content — description, descriptionHtml, descriptionLength Change tracking — changeType, contentHash, firstSeenAt, lastSeenAt, changedFields Meta — isFeatured, searchQuery, resultPosition

Sample output

{
  "jobId": "94083698",
  "url": "https://th.jobsdb.com/job/94083698",
  "title": "Full Stack Developer – AI & Internal Tools",
  "company": "Penzilla",
  "location": "Bangkok",
  "locationCountry": "TH",
  "classification": "Information & Communication Technology",
  "workType": "Full time",
  "workArrangement": "On-site",
  "salaryText": null,
  "postedAt": "2026-08-19T12:30:51Z",
  "description": "About the role\nDevelop and maintain backend systems...",
  "descriptionLength": 1840,
  "changeType": "new",
  "contentHash": "a1b2c3d4e5f60718"
}

A note on salary: JobsDB advertisers publish a salary on roughly a third of listings. When absent, salaryText is null rather than a guess.

Use it from code

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('verybananadata/jobsdb-scraper').call({
    keyword: 'developer',
    country: 'th',
    maxResults: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

from apify_client import ApifyClient

client = ApifyClient("YOUR_TOKEN")
run = client.actor("verybananadata/jobsdb-scraper").call(run_input={
    "keyword": "developer",
    "country": "th",
    "maxResults": 100,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["company"])

Common uses

• Recruitment market research — track which roles and skills are being hired for in Southeast Asia
• Salary benchmarking — aggregate salaryMin / salaryMax by classification and location
• Competitor hiring signals — monitor a company via companyId to see when it expands a team
• Job board aggregation — feed listings into your own board or newsletter
• Daily monitoring — incremental mode surfaces only new postings each morning

Supported countries

Code	Site
th	th.jobsdb.com — Thailand
hk	hk.jobsdb.com — Hong Kong

JobsDB operates in Thailand and Hong Kong. Its former Singapore site now redirects to Jora, and Malaysia and the Philippines moved to JobStreet, so those are out of scope for this Actor.