We develop one page super-fast E-commerce by Laravel and Node.js
Next.js+ laravel + Rest api ecommerce is implemented based on our popular react project. It has both REST API & GraphQL API support. On the frontend we have used React, NextJS [ TypeScript ] & Tailwind. Full source code is available. It’s very fast and you will love using it. It will help you to grow your business fast as it’s a very easy e-commerce solution. We have added good documentation and we tried to make everything extendable and reusable so you can edit as your own need. It has Omnipay support. It has cash on delivery support too. It has full admin support too to maintain and manage your order. You will get full source code, Frontend, and Backend. It has Multivendor support, you can earn money through that too.
- Laravel: 8.12
- React: 17.0.2
- NextJS: 10.0.9
- Tailwind CSS: 2.0.4
- Apollo 3.3.12 [GraphQL]
- React Query: 3.13.0 [ REST]
- TypeScript: 4.2.3
- Complete Authentication
- Quick add to cart
- Async full text search
- Category based product filtering
- Product grid for different types of product
- Mini cart
- Quick Checkout page
- Omnipay supported [ Stripe ]
- Cash on delivery supported
- User Account settings
- My order
- Banner Ads
- React, Next & Tailwind based
- Separate GraphQL connected Frontend
- Separate REST API connected Frontend
- Next SEO supported
- SEO friendly url
- Analytics Dashboard
- Manage Product
- Manage Category
- Manage Product Type
- Manage Order
- Manage Order Status
- Manage Customers
- Manage Coupons
- Manage Taxes
- Manage Shipping
- Multi Currency Supported
- Store Settings
- Built with React, Next & Tailwind
Why Should You take our service?
- We build professional website according to your needs.
- Our team are highly experienced by many years.
- Always we try to give our best.
Service frequently asked questions
- what is the advantage of single page e-commerce?
1) Refresh Page is Not There
2) Load Speed
3) Clutter Breaking
4) Simplified Storytelling
5) Better Conversions
6) Making Changes To The Site Is Much Easier
7) Bounce Rate Reduction
8) Works Well Across Devices
9) Cost Effective
10) Hassle free surfing
- What is next.js?
A next generation framework, Next.js allows you build server-side rendered and statically generated (pre-rendered) web applications using React. It’s a powerful and rapidly evolving tool to build your next website with, as it does a lot of the heavy lifting for you right out of the box.
- What is GraphQL?
At its core, GraphQL is a language for querying databases from client-side applications. On the backend, GraphQL specifies to the API how to present the data to the client. GraphQL redefines developers’ work with APIs offering more flexibility and speed to market; it improves client-server interactions by enabling the former to make precise data requests and obtain no more and no less, but exactly what they need.
Currently, the GraphQL vendor-neutral foundation is emerging. It’ll empower the GraphQL community by:
increasing financial and intellectual investment for developing infrastructure
handling legal issues
providing marketing support to the project
organizing events, training, and working groups
enabling widespread adoption and encouraging more contribution.
- Advantages of GraphQL
Being less “talkative” than REST makes GraphQL way faster, as you can cut down on your request by picking only the fields you want to query. The following list shows other major advantages of using a GraphQL API in an application instead of a REST API.
Good fit for complex systems and microservices. By integrating multiple systems behind its API, GraphQL unifies them and hides their complexity. The GraphQL server is then responsible for fetching the data from the existing systems and packaging it up in the GraphQL response format. This is particularly relevant for legacy infrastructures or third-party APIs that have expanded over the years and now present a maintenance burden.
When migrating from a monolithic backend application to a microservice architecture, a GraphQL API can help handle communication between multiple microservices by merging them into one GraphQL schema. While each microservice defines its own GraphQL schema and has its own GraphQL endpoint, one GraphQL API gateway consolidates all schemas into one global schema
Fetching data with a single API call. The main difference between GraphQL and REST is that the latter is centered around individual endpoints, so to collect all needed data, a developer has to combine multiple endpoints. Whereas GraphQL focuses on the task itself, in this case, a developer can request the needed data with just one API call.
No over- and under-fetching problems. REST responses are known for either containing too much data or not enough of it, creating the need for another request. GraphQL solves this efficiency problem by fetching the exact data in a single request.
Tailoring requests to your needs. As it was mentioned, REST API documentation explains individual endpoints, their functions, and the parameters a developer can pass to them. Describing the data types, fields, and the interaction points between them, GraphQL API enables developers to tailor the request to get the information they need.
Validation and type checking out-of-the-box. GraphQL’s introspection feature allows for navigating into the types and discovering the schema to ensure apps only ask for what’s possible and in the appropriate format. That said, developers can see what the schema can query and how the data is set up there. Based on that, they can easily add new fields to existing queries through a GraphQL IDE. There’s no need to validate the data format, as GraphQL does it for you. Developers need only to write resolvers – how the data will be received.
Autogenerating API documentation. GraphQL keeps documentation in sync with API changes. As the GraphQL API is tightly coupled with code, once a field, type or query changes, so do the docs. This directly benefits developers, since they have to spend less time documenting an API.
API evolution without versioning. Evolving API entails a problem of having to keep the old version around until developers make the transition to the new one. So, with REST it’s common to offer multiple API versions. However, GraphQL eliminates the need for versioning by deprecating APIs on a field level. Aging fields can be later removed from the schema without impacting the existing queries. GraphQL enables that by creating a uniform API across the entire application that isn’t limited by a specific storage engine.
By using a single, evolving version, GraphQL APIs give apps continuous access to new features and encourage cleaner, more maintainable server code.
Code-sharing. In GraphQL fields used in multiple queries can be shared at a higher component level for reuse. Referred to as fragments, this feature allows you to get different data while keeping the same schema field.
Detailed error messages. In REST, we simply check the HTTP headers for the status of a response, based on which we can determine what went wrong and how to handle it. Contrarily, if there is an error while processing GraphQL queries, the backend will provide a detailed error message including all the resolvers and referring to the exact query part at fault.
GraphQL error messages don’t have a particular standard, so you can choose – be it a stack trace, an application-specific error code, or just plain text.
Permissions. Creating a GraphQL schema, you get to choose which functions to expose and how they work. In their turn, REST views tend to be all or nothing. So, every view should have knowledge of what can and cannot be exposed in various circumstances, which isn’t that simple to do. Otherwise, if a query includes some private information, REST architecture won’t even reveal public portions of the requested data.
An additional operation. In REST, APIs perform CRUD operations with the following HTTP requests:
CREATE: generate new records with POST
READ: retrieve the data based on input parameters with GET
UPDATE: modify records with PUT
DELETE: erase the specified data with DELETE.
In that way, GraphQL brings a new operation to the table – subscriptions, – which allows clients to receive real-time messages from the server. GraphQL subscriptions can be used for automatically sending notifications to the client when a new comment or data is added, or a message is received.
Rapid application prototyping. If the goal is to provide a prototype, CRUD operations can be time-consuming. GraphQL speeds up this process by providing a single API endpoint that serves as a data proxy between the UI and the data storage. Additionally, the velocity of development is closely related to improved developer experience that GraphQL offers: easier coding with the data right next to UI, reusable fragments, less thinking of error handling, etc.