Albamon Part-time Jobs Scraper (알바몬 알바) avatar

Albamon Part-time Jobs Scraper (알바몬 알바)

Pricing

from $3.00 / 1,000 results

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Albamon Part-time Jobs Scraper (알바몬 알바)

Albamon Part-time Jobs Scraper (알바몬 알바)

Scrapes part-time job listings from Albamon (알바몬), Korea's biggest part-time job board. Returns titles, companies, hourly wages, work hours, locations and deadlines as structured JSON.

Pricing

from $3.00 / 1,000 results

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0.0

(0)

Developer

Kasidesk Studio

Kasidesk Studio

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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Scrapes part-time job listings from Albamon, Korea's biggest part-time and hourly job board (200,000+ live listings). Search by keyword or paste a filtered list URL, and get structured JSON: job title, company, hourly wage, work hours, job categories, full workplace address, apply methods, deadline and posting time.

No login, no API key, no headless browser. Albamon renders its listing pages server-side, so this runs on plain HTTP crawling.

This is part of a three-actor Korean jobs suite: Saramin covers full-time hiring with keyword search, JobKorea covers corporate hiring by job category and region, and this one covers the part-time and hourly market, which is a different dataset entirely: hourly wages, shift times, store-level addresses.

What the wage data is good for

The interesting thing about Albamon is that almost every listing carries an actual wage figure, normalized here into wageAmount (KRW, numeric) and wageType (hourly/daily/weekly/monthly/yearly). That makes it usable for real analysis: hourly wage levels by region or job category, how postings respond to minimum wage changes, staffing demand for franchises and retail chains, which neighborhoods are hiring. Recruiting tools and gig-economy products use the feed directly; researchers use the wage series.

Recruiting and staffing products also use it as hiring-signal data: which franchises, stores and neighborhoods are actively hiring hourly workers right now.

Use with AI agents (MCP)

This actor works as a live tool for AI agents through the Apify MCP server, so an agent can query Korean part-time jobs mid-conversation ("find night-shift convenience store jobs in Gangnam paying over 12,000/hr"). Point your MCP client (Claude, Cursor, or any MCP-compatible agent) at:

https://mcp.apify.com?tools=kasidesk/albamon-jobs-scraper

For agent calls, set maxItems to 10-20 - responses come back in seconds and stay compact. Numeric wageAmount and English wageTypeEn let agents filter wages without handling Korean text.

Input

{
"keywords": ["편의점", "카페"],
"maxItems": 200
}
  • keywords - each runs as its own search. Korean works best (it's what employers write in). Leave empty to scrape the full recent-jobs feed
  • listUrls - optional. Paste Albamon list URLs from your browser, keeping any region/category filters you set on the site
  • maxItems - total cap across all searches
  • proxyConfiguration - leave the default (residential, KR). Korean job sites block datacenter IPs

Output

One item per listing:

{
"id": "118311819",
"title": "호텔(게스트하우스) 리셉션 / 객실청소(평일,주말) / 상주직원 구합니다",
"company": "호텔 퍼스트스테이 명동",
"url": "https://www.albamon.com/jobs/detail/118311819",
"region": "중구",
"neighborhood": "태평로2가",
"wageAmount": 12000,
"wageType": "시급",
"wageTypeEn": "hourly",
"workHours": "시간협의",
"categories": ["호텔·리조트·숙박", "안내데스크·리셉션", "서비스 기타"],
"applyMethods": ["온라인지원", "이메일지원"],
"address": "서울 중구 세종대로 66 (태평로2가) 호텔 퍼스트스테이 명동",
"deadline": "상시모집",
"isOpenEnded": true,
"postedAgo": "7분전",
"postedAt": "2026-08-07T11:53:00.000Z"
}

Field names are English, wages are numeric, posting times are converted to ISO timestamps, and enum-ish values get English equivalents (wageTypeEn, isOpenEnded) - you don't need to read Korean to work with the output. Titles, company names and addresses stay in the original Korean, since that's the actual data.

Notes

Only public data: no login, nothing from behind authentication, no personal data. Job postings are public advertisements. You're responsible for how you use the data.

postedAt is derived from Albamon's relative timestamps ("7분전"), so it's accurate to about a minute for fresh posts and gets coarser for older ones.

If a run comes back empty or a field stops populating, Albamon probably changed their markup. Open an issue and I'll usually have a fix out within a day - I run this daily myself, so breakage tends to get caught fast.

For full-time hiring, use the Saramin scraper (keyword search) or the JobKorea scraper (category and region browsing).


한국어 안내

알바몬 채용공고를 로그인 없이 구조화된 JSON으로 수집합니다. 키워드 또는 알바몬 목록 URL을 입력하면 공고 제목, 회사명, 시급(숫자 변환), 근무시간, 업직종, 근무지 주소, 접수방법, 마감일, 등록 시각을 정리해서 반환합니다. 공개 데이터만 다루며 개인정보는 수집하지 않습니다. 문의는 Issues 탭으로 남겨주세요.