Thailand Job Postings Scraper

Scrapes Thai job postings from JobThai and returns each one as structured JSON, with salary range, seniority, required experience, skills and remote status normalized by an AI step into fields you can filter and aggregate.

Try it free, no setup

Run it with the defaults. The first 10 postings come back with the full ai block filled in, so you can see exactly what the AI step produces before deciding whether it is worth anything to you. Postings past the tenth are still returned in full — only the ai block is left empty, with aiError saying why.

To enrich every posting in a run, put your own talariaToken in the input. There is no signup wall on the demo and no card required to see the output.

Sample output

One item, exactly as it lands in the dataset:

{
  "url": "https://www.jobthai.com/th/company/job/1936578",
  "source": "jobthai",
  "scrapedAt": "2026-09-05T08:44:49+00:00",
  "title": "SALE & RECEPTION",
  "company": "ANY1 Fitness & Sports (บริษัท ธนสุวรรณ กรุ๊ป จำกัด)",
  "location": "บางแค, กรุงเทพมหานคร, TH",
  "employmentType": "FULL_TIME",
  "salaryText": "11000-15000 THB MONTH",
  "postedAt": "2026-09-05T08:41:54.000Z",
  "description": "รายละเอียดงาน / หน้าที่รับผิดชอบ:- ต้อนรับ ให้ข้อมูลเกี่ยวกับบริการ สิทธิประโยชน์ และแพ็กเกจสมาชิกแก่ลูกค้าที่เข้ามาใช้บริการ- นำเสนอขายแพ็กเกจสมาชิก/คอร์สออกกำลังกายให้บรรลุเป้าหมายยอดขาย …",
  "jobId": "1936578",
  "ai": {
    "salary_min_thb": 11000,
    "salary_max_thb": 15000,
    "salary_period": "monthly",
    "seniority": "entry",
    "experience_years_min": null,
    "skills": [
      "การต้อนรับ",
      "การนำเสนอขาย",
      "การดูแลงานเอกสาร",
      "การลงทะเบียนสมาชิก",
      "การรับชำระเงิน",
      "การติดตามลูกค้า",
      "การประสานงาน",
      "การส่งรายงานยอดขาย"
    ],
    "remote_status": "onsite"
  }
}

Everything outside ai is read from the posting. Everything inside ai is inferred from the posting text by the AI step. When enrichment is turned off, fails, or times out, ai is null, an aiError field says why, and the posting is returned anyway.

Note: the whole object above, ai included, is verbatim from a live make actor-run against jobthai.com and the deployed enrichment service on 2026-09-05, with the description truncated for length. Of the 3 items that run scraped, this one enriched cleanly; one of the other two hit a transient 503 from the enrichment service and came back with ai: null and an aiError, per the "return the raw item uncharged for AI" rule below.

Input

Option	Type	Default	What it does
startUrls	array	JobThai job listing page	Listing or job pages to start from. Listing pages are followed to the jobs they link to.
maxItems	integer	100	Hard cap on items returned. Never exceeded. Maximum 1000.
enrich	boolean	true	Turns the paid AI step on or off.
enrichFields	array	all fields	Restricts enrichment to named fields: salary_min_thb, salary_max_thb, salary_period, seniority, experience_years_min, skills, remote_status.
talariaToken	string (secret)	none	Bearer token for the enrichment service. Required when enrich is on.
talariaBaseUrl	string	https://talaria.skusol.com	Point the AI step at your own endpoint instead.
requestIntervalSecs	integer	1	Minimum seconds between two requests to the target site.
maxRetries	integer	3	Retries per page before it is skipped.
respectRobotsTxt	boolean	true	Stops the crawl if robots.txt disallows it.

Use cases

1. Salary benchmarking. Postings state salary as free text, in several formats and two languages. salary_min_thb, salary_max_thb and salary_period give you numbers you can average per role and per province.
2. Skill demand tracking. Run the same query weekly and count skills across items to see which tools employers are actually asking for, rather than which ones a survey says they want.
3. Recruitment lead lists. Filter by seniority, remote_status and experience_years_min to find the companies hiring for the roles you place, with a link back to each posting.

Pricing

Prices are set on the Apify Store listing; this table says what triggers each event.

Event	Charged when
apify-actor-start	Once, when a run starts.
item-scraped	Once per job posting after it has been written to the dataset. A posting that fails to parse is never pushed and never charged.
ai-enriched-item	Once per posting whose AI fields came back valid. Enrichment that fails, times out or is turned off is not charged.

Two rules the actor holds to: nothing is charged before the thing it pays for exists, and when a run reaches its maximum cost the run ends cleanly with everything produced so far.

Limitations

• Rate. With enrichment on, throughput is bounded by the AI service, which handles roughly six items per minute. A 100-item run with enrichment takes about 20 minutes. With enrich: false the limit is the polite crawl delay, one page per second by default.
• Coverage. JobThai only. Listing pages are followed one level to the job pages they link to; pagination beyond the pages you pass in startUrls is not crawled. Postings missing a title or description are skipped rather than returned half-empty.
• Freshness. Each item is a snapshot at scrapedAt. There is no change detection or deduplication across runs; a posting scraped twice appears twice.
• AI fields are inferred. ai values come from a language model reading the posting. A field the posting does not state comes back null or unknown rather than a guess, but the values are not verified against any other source. salaryText keeps the original wording so you can check.
• Personal data. Only posting content is collected: role, employer, location, salary, requirements. Contact people named on a posting are not extracted.
• robots.txt. With respectRobotsTxt on, a disallow ends the crawl instead of working around it.

Development

make actor-setup   # once, needs the network
make build         # go build/vet/test, then compileall and pytest for the actor
make actor-run     # local run in pay-per-event test mode

The test suite runs offline. It uses fake pages, a fake enrichment service, and the Apify SDK's local pay-per-event mode, and asserts on charge counts and ordering.