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shopify graphql api example

Published on: July 5 2023 by pipiads

- GraphQL is a query language for APIs that allows retrieval and modification of data from applications through queries or mutations.

Advantages of GraphQL over REST API:

- GraphQL prevents over-fetching and under-fetching, resulting in more efficient data retrieval.

- With GraphQL, there is only one API endpoint, unlike REST API, which has multiple endpoints.

Tools for testing GraphQL queries and mutations:

- Curl, a command-line tool for making HTTP requests.

- Graphical IDE, an integrated development environment made for testing GraphQL endpoints.

Making a GraphQL query:

- GraphQL queries are structured like JSON objects, with nested objects and fields.

- Queries can include arguments to specify what data to retrieve.

- Plural fields like products require the use of edges and nodes for pagination.

- GraphQL is a powerful tool for data retrieval and modification in applications.

- With the right tools and knowledge, making GraphQL queries and mutations can be easy and efficient.

Working with GraphQL - 2 of 3

In this article, we will be discussing the different APIs available for Shopify, including GraphQL and REST API. We will also cover some important concepts such as webhook, cron, and API call limit. Let's dive in!

APIs for Shopify:

1. GraphQL

- Allows for more efficient data retrieval and manipulation

- Supports queries and mutations

- Can retrieve multiple resources in a single request

- Uses a strongly typed schema


- Uses HTTP methods (GET, POST, PUT, DELETE) to interact with resources

- Can retrieve one resource at a time

- Supports pagination for larger data sets

- Uses URL endpoints to access resources

3. Shopify API Gem

- A Ruby gem that simplifies API calls to Shopify

- Handles authentication and API rate limiting

- Provides an easy-to-use interface for interacting with Shopify resources

Important Concepts:

1. Webhook

- A mechanism for Shopify to send data to a specified URL when a certain event occurs

- Can be used for real-time data updates and automation

2. Cron

- A scheduling tool used to automate repetitive tasks

- Can be used to trigger API calls at specific intervals

3. API Call Limit

- Shopify limits the number of API calls that can be made in a certain time period

- Can be increased by upgrading to a higher plan or contacting Shopify support

Shopify offers a variety of APIs for developers to interact with their platform. By understanding the differences between GraphQL and REST API, as well as important concepts such as webhook and cron, developers can build powerful applications that integrate seamlessly with Shopify.

Getting Started with GraphQL

This article discusses the Shopify GraphQL API and its features. It also provides information on how to get started with GraphQL and use it with Shopify.

Features of the Shopify GraphQL API:

- Allows for querying of specific data fields, resulting in faster and more efficient responses.

- Can retrieve multiple resources in a single request, reducing server load and speeding up response times.

- Provides advanced filtering and sorting options, allowing for more precise and customized data retrieval.

- Offers real-time updates and subscription options for dynamic data retrieval.

- Supports a variety of programming languages and platforms, including Android, iOS, and Unity SDK.

Getting Started with Shopify GraphQL API:

1. Obtain your Shopify store's ID and authentication credentials.

2. Use GraphQL's GraphiQL IDE or a similar tool to access the Shopify GraphQL API.

3. Use the API to query and retrieve data, specifying the desired data fields and filters.

4. Use the API to create, update, or delete data, as needed.

Common GraphQL Terms:

- Schema: Defines the types and fields available in the GraphQL API.

- Query: A request for specific data from the GraphQL API.

- Mutation: A request to modify data in the GraphQL API.

- Subscription: A real-time request for updates to specific data fields in the GraphQL API.

Overall, the Shopify GraphQL API offers a powerful and efficient way to retrieve and modify data from Shopify stores. With its advanced features and support for multiple platforms, it is an excellent tool for developers looking to build powerful e-commerce applications.

How To Use Shopify GraphQL API in PHP (Shopify App Development)

In this video, we will learn how to create or use GraphQL using vanilla PHP. We will set up our index.php file and get rid of comments and replace the access token. We will update our install.php and copy the secured URL from Ngrok. We will then open the app and update the app setup. We will uninstall the private app and install the app in the example development store. We will copy the access token and save it in the index.php file. We will create a new file called graphql.php and duplicate the functions.php file. We will create another function for our GraphQL call and set up the URL. We will use the JSON encode and pass the query variable. We will open the index.php file and replace the product table with our GraphQL page. We will create the query variable and pass the values. We will open the GraphQL.php file and echo out the response from the shop variable. We will create a query variable and extract data from the shop. We will use the GraphQL app to test our query and get the product response. This is how we can use GraphQL using vanilla PHP without using any libraries.

How to Make a Shopify API Request

- Megan, a developer advocate at Shopify, explains how to use an access token to request product information through the Admin API.

APIs and Shopify:

- APIs are protocols used to integrate applications with Shopify.

- Shopify provides different APIs, but Megan will focus on the Admin API.

- The Admin API allows developers to read and write store information, including products, orders, and shipping.

- All requests to the Admin API need to be authenticated.

Creating a Shopify App:

- Megan demonstrates how to make authenticated requests using both curl and a VS Code plugin called Thunderclient.

- She creates a new custom application in the Shopify admin and selects the read product scope for this demo.

Requesting Information:

- Megan shows how to make a curl request to the GraphQL Admin API endpoint while including the access token in the header.

- She defines the query to ask for the first 10 products and their IDs and titles.

- Megan then demonstrates how to use Thunderclient to make the same request, switching to the post method and sending an empty variable object.

- Megan emphasizes the importance of practicing API calls before starting development and suggests using Shopify client libraries for Ruby, Python, PHP, or Node.

- She encourages viewers to subscribe to the Shopify development channel, review documentation, and join the community for more information.

Getting Started with GraphQL on Shopify // Jordan Liddle

Hey everyone, my name is Jordan Little and I work on Shopify's developer experience team. Our team's goal is to ensure that our partners have the tooling and resources available to build confidently and efficiently on our platform. In this webinar, we will be discussing what graph QL is and how it differs from REST APIs.

- Graph QL is a query language for APIs that provides a more efficient, powerful, and flexible alternative to REST.

- Graph QL enables declarative data fetching where a client can specify exactly what data it needs from an API.

- The Shopify developer experience team has put several initiatives in place to make the transition to graph QL as easy and enjoyable as possible.

Graph QL vs REST:

- Graph QL and REST are often compared, but they differ in many ways.

- Graph QL allows for a single endpoint that responds with precisely the data that is being asked for.

- REST APIs require multiple round trips to the server to retrieve all the necessary data, which can make the app slow and unresponsive.

Developer Experience:

- Graph QL changes the developer experience as we know it.

- Shopify has developed a graphical interactive in-browser graph QL IDE called GraphiQL.

- GraphiQL leverages embedded documentation, supports debugging, and has a JSON viewer.

- Shopify also has a growing collection of incredible developer tools to help expedite the workflow when using graph QL APIs.

Using the Storefront API:

- The Shopify Storefront API gives you full creative control to build customized purchasing experiences for your customers.

- The API requires a storefront access token for making authenticated requests.

- You can quickly get a storefront access token via the Shopify admin or REST API.

Making Your First Graph QL Query:

- The route field of the query is called the payload.

- In this example, we want to retrieve the shop's name, description, and money format.

- GraphiQL provides auto-completion, embedded documentation, and a JSON viewer to make querying easy.

- Graph QL is a powerful tool that enables declarative data fetching and improves the developer experience.

- Shopify has made it easy for developers to use graph QL with their Storefront API.

- With the help of GraphiQL and other developer tools, developers can build customized purchasing experiences for their customers with ease.

Shopify GraphQL API + Laravel | Sync Customers in Database

In this video, we take a look at the GraphQL API provided by Shopify and implement the sync customers feature through the GraphQL API, not with the REST API. We showcase how to fetch the list of customers and sync it into your database. We cover the following points:

- We will be taking a look at the GraphQL API provided by Shopify and how to implement the sync customers feature through it.

Main Points:

- We create a new function in the helper PHP file that returns the GraphQL headers for the store.

- We explain that all GraphQL requests are POST requests and only the URL is needed.

- We write the code for making the API call and fetching the list of customers with their details.

- We show how to paginate over the results using the page info parameter.

- We write the logic for looping over the data and storing it in our database.

- We demonstrate how to extract the necessary fields from the API response and save it in the database.

- We show the data on the front end and explain how to access it.

- We encourage viewers to experiment with the API and drop a comment if they run into any problems.

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