Saramin Scraper: jobs in South Korea, newest first

Scrape Saramin (saramin.co.kr), a Korean job site, newest first, by keyword, region, job type and experience: title, company and its website, region and district, experience, education, job type, pay in KRW when the ad names its unit (yearly, monthly, hourly), application period with times, work address with postal code and coordinates, work hours, probation, benefits, keyword tags, company facts and the full description. Export to CSV, Excel or JSON, or use the API.

USD 0.89 per 1,000 jobs. No login, no browser.

What you get

• Pay with its unit, never guessed: "연봉 3,300 만원" gives 33,000,000 KRW per YEAR, "시급 10,320 원" gives 10,320 per HOUR, and "면접 후 결정" (decided after the interview) gives text only. Many ads state no figure: none of the 20 newest "python" ads in our test, 4 of 6 production jobs (생산직).
• Newest first, so "Posted within" stops a search at the first page of older jobs.
• Saramin's own filters: region, job type (regular, contract, intern, part-time, dispatch, freelance...), entry level or experienced, or a pasted search URL with any of its filters.
• Page-only facts: application start and end with times, probation, work hours, apply method, benefits grouped by type, employer type (headhunter), company type, industry, staff, founded.
• The recruiter's name and phone are never collected.

Input examples

{ "keywords": ["python"], "maxJobs": 200 }

Entry-level regular production jobs in Gyeonggi from the last 3 days, new ones only (daily schedule):

{ "keywords": ["생산직"], "locations": ["Gyeonggi"], "jobType": "regular", "experience": "entry", "postedWithinDays": 3, "onlyNewJobs": true }

Example row

From a saved Saramin job page (empty fields left out, description shortened):

{
  "jobId": "55271413",
  "title": "[정규직] 2026년 하반기 Java/Python 신입 개발자를 모집합니다.",
  "company": "(주)위즈온텍",
  "companyUrl": "http://www.wizontech.com",
  "companyLogoUrl": "https://clogo.saramin.co.kr/company/logo/202006/22/qcbfq3_kbmk-wvtg0m_logo.png",
  "location": "서울 중구",
  "city": "중구",
  "region": "서울",
  "country": "KR",
  "salaryMin": 33000000,
  "salaryMax": 33000000,
  "salaryCurrency": "KRW",
  "salaryPeriod": "YEAR",
  "salaryText": "연봉 3,300 만원 (주 40시간)",
  "employmentType": "FULL_TIME",
  "employmentTypeText": "정규직",
  "experienceLevel": "신입",
  "category": "IT개발·데이터",
  "skills": [
    "Java",
    "Python",
    "웹개발"
  ],
  "datePosted": "2026-10-13T11:00",
  "validThrough": "2026-10-18T23:59",
  "descriptionText": "[정규직] 2026년 하반기 Java/Python 신입 개발자를 모집합니다. 모집분야 소프트웨어 개발(0명) 📋 주요업무 • java/python 기반 백앤드 개발 • react 기반 프론트앤드 개발 • docker/k8s 기반 시스템 구축 • ...",
  "jobUrl": "https://www.saramin.co.kr/zf_user/jobs/relay/view?rec_idx=55271413",
  "sourceBoard": "Saramin",
  "duplicateKey": "19076b86a657188d",
  "language": "ko",
  "extra": {
    "education": "대졸(4년제) 이상",
    "deadlineText": "오늘마감",
    "companyBadge": "연봉상승률 10% 이상",
    "companyId": "MUZOOUU0dFJOKzVTNmV0VEp6QlRkdz09",
    "probation": "2개월",
    "workHours": "09:30~18:30",
    "deadlineLabel": "오늘 마감",
    "applyMethod": "사람인 입사지원",
    "applicationForm": "자유양식",
    "benefits": {
      "지원금/보험": "각종 경조사 지원",
      "급여제도": "퇴직연금, 상여금, 장기근속자 포상, 4대 보험",
      "선물": "명절선물/귀향비, 생일자 조기퇴근, 장기근속 선물",
      "교육/생활": "창립일행사, 도서구입비지원, 자격증취득지원, 교육비 지원, 간식 제공, 음료제공(차,커피)",
      "근무 환경": "회의실, 공기청정기, 문턱 없음, 노트북, 사무용품 지급",
      "조직문화": "회식강요 안함, 야근강요 안함, 자유복장, 자유로운 연차사용, 칼퇴근 보장",
      "출퇴근": "야간교통비지급, 주 40시간제 시행",
      "리프레시": "연차, 여름휴가, 경조휴가제, 반차, 창립일휴무, 근로자의날 휴무"
    },
    "workAddress": "서울 중구 을지로3가 을지비즈센터 805호",
    "companyType": "중소기업",
    "companyIndustry": "응용 소프트웨어 개발 및 공급업",
    "companyEmployees": "11 명 (2026년 기준)",
    "companyFounded": "2013년 4월 18일 (업력 14년차)",
    "companyAddress": "서울 중구 수표로 45, 805호 (저동2가,을지비즈센터)",
    "tags": [
      "IT개발·데이터",
      "Java",
      "Python",
      "웹개발",
      "서울"
    ]
  }
}

Good to know

• Edited ads move into the newest-first order (they show a modified date), so the order is close to, not strictly, by date.
• The first search page is large (about 2.4 MB), then each job page is about 0.45 MB. A 20-job run took 48 s, so 1,000 jobs with job pages take about 40 minutes.
• With job pages off, rows keep the card fields: the pay as printed (no number), the registered date, the deadline.
• Dates and times are as Saramin writes them (Korean time, no offset).
• Education, salary and industry filters work only through a pasted search URL.
• Korean personal names inside an ad's own text are not removed (emails and phones are).
• Not given: apply link, a remote flag (extra.remoteWork only when the place says 재택근무 가능), skills as such (skills holds Saramin's keyword tags).

Who uses it

• Recruiters and HR firms in Korea: the newest jobs by keyword, region and job type every day.
• Pay research: stated yearly, monthly and hourly pay in KRW.

Output: one row per job

Every Actor in this family writes the same columns, so you can merge boards in one sheet or database.

Field	What it holds
jobId	The board's own job id
title, company	Job title and hiring company (as the board shows them)
companyUrl, companyLogoUrl	Company page and logo on the board, when given
location, city, region, postalCode, country	Location as shown, and its parts; country is an ISO code (FR, DE, US...)
remote, workplaceType	true/false and remote, hybrid or onsite, only when the board says so
salaryMin, salaryMax, salaryCurrency, salaryPeriod, salaryText	Salary range as numbers, ISO currency, HOUR/DAY/WEEK/MONTH/YEAR; empty when the board gives none (never guessed)
employmentType, employmentTypeText	FULL_TIME, PART_TIME, TEMPORARY, INTERN, APPRENTICE, CONTRACTOR, FREELANCE..., and the board's own wording
experienceLevel, category, skills	When the board gives them
datePosted, validThrough	ISO 8601 dates
descriptionText, descriptionHtml	Full description as plain text and as HTML
applyUrl, jobUrl	Where to apply, and the job's page on the board
sourceBoard, searchLabel, scrapedAt	Which board, which of your searches found it, when
duplicateKey	The same key for the same ad posted on several boards (or reposted): title without (m/w/d) or H/F tags, company without legal form, city, country. Use it to merge results from several of our board Actors
extra	A few fields only this board has

Contact email addresses and phone numbers inside descriptions are removed: this Actor never collects recruiters' personal contact details.

Job alerts: only new jobs, sent where you work

1. Switch on Only new jobs since the last run and schedule the Actor (daily, hourly). It remembers the jobs it has already delivered for the same searches and filters, in a key-value store on your own account (named job-boards-seen-
2. Paste a Slack or Discord webhook (or a Zapier or Make webhook, which can email you) into Send new jobs to. After each run that found new jobs you get one message with the count and up to 10 jobs with their links. Free: the message is never billed.

Apify's own integrations (Google Sheets, email, webhooks) work too.

Pricing

Pay per job saved: USD 0.89 per 1,000 jobs (USD 0.00089 a job), plus USD 0.002 per run start. No monthly rental, no charge for jobs skipped as duplicates, already seen or filtered out. Set a maximum cost per run in Apify and the Actor stops just before it, keeping everything saved so far.

Use it through the API

curl -X POST "https://api.apify.com/v2/acts/usefulapi~saramin-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords":["python"],"maxJobs":20}'

Python: ApifyClient("YOUR_API_TOKEN").actor("usefulapi/saramin-scraper").call(run_input={...}), then read the dataset items.

Good to know

• Polite by design: one request at a time per site with a pause between requests, and the site's robots.txt is followed. Runs read public job pages only: no login, no candidate profiles or CVs.
• What a run summary tells you: the OUTPUT record has jobs saved per search, jobs skipped (duplicates, seen before, too old) and why a run stopped early, if it did.
• Is it legal? The Actor reads job ads that the board publishes openly, the same pages a job seeker sees. You are responsible for how you use the data (for example, the board's terms and data protection rules in your country).
• Found a problem? Open an issue on the Issues tab: we answer quickly.