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How to use PHP to call the Kuaishou API interface to achieve video search and recommendation
Kuaishou is one of the most popular short video platforms in China. Users can publish their own video content on Kuaishou and share it with other User sharing. As developers, we can use Kuaishou's API interface to implement video search and recommendation functions to provide users with a better experience.
First, we need to register a developer account on the Kuaishou open platform and create an application. After creating the application, we can obtain API access rights and keys for calling the API interface. This information will be used in subsequent code examples, so please keep it properly.
It is very simple to call the Kuaishou API interface using PHP language. We can use the curl function to send an HTTP request and parse the JSON data returned by the interface.
The following is a basic video search API call example:
<?php $access_token = "YOUR_ACCESS_TOKEN"; // 替换为你的API访问令牌 $keyword = "健身"; // 搜索关键词 // 构建API请求URL $search_url = "https://api.kuaishouzt.com/rest/zt/topsearch/services/n/search"; $search_url .= "?keyword=" . urlencode($keyword) . "&publish=1&ids=&count=10"; // 发送HTTP请求 $ch = curl_init(); curl_setopt($ch, CURLOPT_URL, $search_url); curl_setopt($ch, CURLOPT_RETURNTRANSFER, true); curl_setopt($ch, CURLOPT_HTTPHEADER, array( "Authorization: Bearer " . $access_token, )); $response = curl_exec($ch); curl_close($ch); // 解析JSON数据 $result = json_decode($response, true); // 输出搜索结果 foreach ($result['result'] as $video) { echo "标题:" . $video['work']['caption'] . PHP_EOL; echo "作者:" . $video['work']['user_name'] . PHP_EOL; echo "播放量:" . $video['work']['play_count'] . PHP_EOL; echo "时长:" . $video['work']['duration'] . "秒" . PHP_EOL; echo "封面图片:" . $video['work']['cover_thumbnail_urls'] . PHP_EOL; echo "视频链接:" . $video['work']['play_urls'] . PHP_EOL; echo PHP_EOL; } ?>
In the above example, we constructed the URL of the API request by searching keywords and access tokens, and sent it using the curl function HTTP request. After that, we parsed the JSON data returned by the interface into an associative array, and then traversed the array to output the title, author, playback volume, duration, cover image, and video link of each video.
In order to implement the video recommendation function, we need to use Kuaishou’s recommendation API interface. Here is a simple video recommendation API call example:
<?php $access_token = "YOUR_ACCESS_TOKEN"; // 替换为你的API访问令牌 $count = 10; // 推荐的视频数量 // 构建API请求URL $recommend_url = "https://api.kuaishouzt.com/rest/zt/topsearch/services/n/recommend"; $recommend_url .= "?count=" . $count; // 发送HTTP请求 $ch = curl_init(); curl_setopt($ch, CURLOPT_URL, $recommend_url); curl_setopt($ch, CURLOPT_RETURNTRANSFER, true); curl_setopt($ch, CURLOPT_HTTPHEADER, array( "Authorization: Bearer " . $access_token, )); $response = curl_exec($ch); curl_close($ch); // 解析JSON数据 $result = json_decode($response, true); // 输出推荐结果 foreach ($result['result'] as $video) { echo "标题:" . $video['title'] . PHP_EOL; echo "作者:" . $video['user_name'] . PHP_EOL; echo "播放量:" . $video['play_count'] . PHP_EOL; echo "时长:" . $video['duration'] . "秒" . PHP_EOL; echo "封面图片:" . $video['cover_thumbnail_urls'][0] . PHP_EOL; echo "视频链接:" . $video['play_urls'][0] . PHP_EOL; echo PHP_EOL; } ?>
In the above example, we use the recommendation API to get a specified number of recommended videos. We also sent the API request via HTTP request and parsed the returned JSON data. Then, we traversed the array and output the title, author, play count, duration, cover image and video link of each video.
Through the above code examples, we can easily implement the search and recommendation functions of Kuaishou short videos. Of course, this is just a simple example and you can extend and adjust it to suit your needs. The Kuaishou open platform provides a rich API interface. You can learn more about the available functions and parameters according to the API documentation.
I hope this article can provide some help for you to use PHP to call the Kuaishou API interface to implement video search and recommendation. Good luck with your development!
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