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Detailed explanation of PHP docking with Jingdong Industrial Platform API interface to realize new product recommendation function!

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2023-07-07 10:21:241426browse

Detailed explanation of PHP docking with Jingdong Industrial Platform API interface to realize new product recommendation function!

Overview:
In recent years, JD Industrial Platform has become the preferred sales channel for many industrial product suppliers. In order to better connect with the JD Industrial Platform and implement the new product recommendation function, this article will introduce in detail how to use the PHP language to connect to the API interface of the JD Industrial Platform.

1. Preparation work
Before starting the connection, we need the following steps to prepare the environment and obtain the necessary certification information:
1.1 Register a JOS developer account
Access the JOS open platform (https://open.jd.com/), register a developer account and create an application.
1.2 Obtain relevant information about the application
On the application management page of the JOS open platform, obtain the App Key and App Secret of the application and record them. These will be used in the code below.
1.3 Apply for API interface permission
Apply for industrial product API interface permission on the API management page of the JOS open platform.

2. Write code
Next, we start writing PHP code to connect to the API interface of JD Industrial Platform to implement the new product recommendation function.

2.1 Introduce the necessary library files
Use the Composer package manager to create a new PHP project and add the dependency of the Jdcloud library:

composer require jdcloud/jdcloud-sdk-php

2.2 Configure API authentication information
Add the following code in the PHP code to configure the identity authentication information of the API for sending requests to the JD Industrial Platform:

use JdcloudCredentialsCredentials;
use JdcloudJdcloudClient;

$appKey = 'your_app_key';
$appSecret = 'your_app_secret';

$credentials = new Credentials($appKey, $appSecret);
$client = new JdcloudClient($credentials);

Replace your_app_key and your_app_secret## in the above code #Replace with the content previously obtained in step 1.2.

2.3 Calling the API interface

The following is a simple code example, calling the API interface of the JD Industrial Platform to obtain the new product recommendation list:

use JdcloudRequestBuilderJdcloudV1;
use JdcloudModelListNewProductsRequest;

$request = new ListNewProductsRequest();
$request->setPageNum(1);
$request->setPageSize(10);

$result = $client->send($request, JdcloudV1::SDK_JDCLOUD_JOS);
$newProducts = $result->get('result');

foreach ($newProducts as $product) {
    echo '商品名称: ' . $product['name'] . '<br>';
    echo '商品价格: ' . $product['price'] . '<br>';
    echo '商品链接: ' . $product['url'] . '<br><br>';
}

Replace ## in the above code Replace #pageNum

and pageSize with appropriate values ​​to obtain an appropriate amount of new product recommendation lists. 3. Run the code and display the results

Enter the directory of the PHP project in the terminal, execute the following command to run the PHP code and view the results:

php index.php

This will call the JD Industrial Platform API interface to obtain the data of the new product recommendation list and print it out in the terminal.

4. Further development

Through the above steps, we have successfully connected to the API interface of JD Industrial Platform and implemented the new product recommendation function. On this basis, we can further develop other functions, such as searching for products based on keywords, obtaining product details, and so on.


Summary:

This article details the steps and code examples for using PHP language to connect to the JD Industrial Platform API interface to implement the new product recommendation function. By connecting to the API interface of JD Industrial Platform, it can provide industrial product suppliers with more sales channels and more accurate product recommendations. I hope this article can help readers successfully connect to the JD Industrial Platform and implement the new product recommendation function.

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