Apps Like Local Linq for iPhone and iPad
Local Linq screenshots
Ranked alternatives
Showing 1–20 of 1,000 ranked alternatives.
Angi: Find Local Home Services
Angi Inc.
Find local home service professionals easily.
The app provides access to over 200,000 home service professionals for various needs, including remodeling, landscaping, and cleaning. It matches users with local professionals and offers ratings, reviews, and price information to help plan projects.
Dingdoor: Home Service Pros
Dingdoor Inc.
Book services and connect
Book services by selecting a category like plumbing or cleaning. Instantly connect with verified local professionals. Schedule appointments and receive real-time updates. Pay securely through the . Rate and review providers after completion.
Local Pros
Local Pros, Inc.
Find professionals in your ZIP Code
Find and hire professionals near your ZIP Code. Search for experts in real estate, home repairs, moving, landscaping, legal services, health and wellness, event planning, pet care, and more.
Groupr Home
Denil Visharia
Book services and track professionals
Create service requests for repairs or maintenance. Receive bids from local professionals. Choose providers based on expertise and pricing. Schedule appointments and track service progress. Rate and review completed services.
Baytko
XCREATIVE PLUS FOR GENERAL TRADING, DESIGN, PROGRAMMING, INFORMATION TECHNOLOGY AND BRANDING LTD
Book home services and track professionals
Book home services by posting jobs and comparing bids from professionals. View prices, ratings, and delivery times. Schedule appointments and track service progress in real time. Receive notifications about job status and updates.
Wokka
Juntero Technology LLC
Book services and find trusted providers
Find and book trusted local service providers like mechanics and cleaners. Chat directly with providers to schedule appointments. Pay securely through Paystack. Access exclusive deals and promotions. Track service progress and receive updates.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.