Apps Like 집잘알 for iPhone and iPad
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.
숨고 - 이사, 청소, 취미, 인테리어 전문가 찾기
Brave Mobile Inc
Find experts, compare quotes, chat in real
Find professionals for home moves, cleaning, interior design, hobbies, lessons, and more. Compare quotes, match with experts based on needs, and chat in real time. View reviews and portfolios to assess expertise.
해주세요 - 배달·퀵, 청소, 이사·운반, 알바
Pleasehelp Inc.
Find, request, and complete tasks
Connect with local partners for tasks like pet care, cleaning, and errands. Search for 1,000+ services and create requests with estimated time and schedule. Match with verified partners nearby for lower costs.
당신의집사 - 후기 보고 선택하는 집청소
DANGJIB
Find experts, book services, track progress
Find and book professionals for cleaning services. View expert reviews and ratings. Choose cleaning schedules and durations. Set prices and times. Connect with experts via messaging. Get transparent pricing for moving clean.
빼기 : 국내 최대 대형 폐기물 간편 처리 플랫폼
Gatda Co., Ltd
Dispose waste with one tap
Dispose of large waste with one touch. Apply for disposal directly from home, purchase and check collection permits. Connect with pickers for free item exchange. Arrange professional waste transport with verified partners and compare quotes.
위메프
WEMAKEPRICE INC
Compare prices, products, and styles.
The app compares prices, products, and styles, and checks today's special offers. It provides convenient mart delivery and curated fresh food.
엔카 - 중고차 필수 플랫폼, 내차팔기, 내차시세
ENCARSALES.COM
Sell cars with competitive bids
Sell used cars by comparing bids from dealers. Input vehicle number and owner name for instant pricing. Access up to 30 competitive bids within 48 hours.
짐카 - 스마트한 원룸이사,용달이사
FiveThirty Co., Ltd.
Book move quotes and pay online
Book moving services with transparent pricing and booking system. View detailed estimates without in-person visits. Compare team ratings based on user reviews. Schedule and pay through a single tap.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.