Apps Like Sellga - buy and sell stuffs for iPhone and iPad
Sellga - buy and sell stuffs screenshots
Ranked alternatives
Showing 201–220 of 1,000 ranked alternatives.


Misprint: Buy & Sell Cards
Misprint, Inc.
Scan , list for sale, track inventory
Buy and trading with real-time market insights and price data. Scan PSA-graded to auto-fetch details and list items quickly. Track card values and historical trends for informed buying and selling decisions.





BAC Home
Britton Property Holdings LLC
List homes, share commissions, connect agents
Listing agents can create profiles with personal and licensing details. Post listings including photos, addresses, and buyer’s agent compensation. Buyer’s agents can search homes and review compensation before showing properties.




AutoZayy - Online Car Market
EDKA DIGITAL COMPANY LIMITED
Buy cars and sell cars
Browse car listings with advanced search filters. View vehicle details and contact sellers through built-in messaging. Request appointments to inspect cars in person. Sell cars using a three-step process. Submit sell requests with one-click access.


MarketBook
Sandhills Global, Inc.
Heavy equipment marketplace for buyers.
The app connects buyers and sellers of heavy equipment across various regions. Users can explore thousands of listings, filter searches by detailed specifications, and manage their interests through a Watch List or "Want-to-Buy" ads.




PhirSe
PhirSe Inc
Sell used items, buy locally, earn cash
Sell unused items by uploading photos, setting prices, and adding descriptions. Browse local listings to buy or hire services. Message sellers for details and complete transactions through the .


Trofee - Livestream Shopping
Trofee FZCO
Browse livestreams and buy products
Watch live streams of authentic products in categories like sneakers, fashion, trading cards, and collectibles. Browse real-time inventory, bid on items, and purchase directly. Sellers can list products and engage with buyers through live chats.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.