How to use PHP crawler to solve the verification code identification problem?

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Release: 2023-08-06 20:30:01
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How to use PHP crawler to solve the verification code identification problem?

Introduction:
In web crawler development, verification code identification is a commonly encountered problem. Verification codes are usually used to verify user identities or prevent malicious crawling of data, but for automated crawlers, verification codes often become an insurmountable obstacle. In this article, we will introduce how to use PHP crawler classes to solve the verification code identification problem and provide corresponding code examples.

1. Understand the verification code
The verification code (CAPTCHA) is an image verification technology used to distinguish computers and humans. Common verification code types include numeric verification codes, letter verification codes, picture selection verification codes, etc. For ordinary users, these verification codes are easy to identify, but for automated crawlers, identifying these verification codes becomes complicated.

2. Solution
In order to solve the verification code identification problem, we can use some third-party verification code identification services, such as coding platforms or machine learning models. These services generally provide API interfaces and return recognition results by uploading verification code images. This article will take the coding platform as an example to introduce how to integrate the verification code recognition function into the PHP crawler.

  1. Register and obtain the API key of the coding platform
    Go to the official website of the coding platform to register an account and log in, enter the personal center, and obtain the API key. Save the API key, you will need it later.
  2. Install third-party HTTP request library and crawler library
    Use Composer to easily install third-party libraries. Execute the following command in the project directory:

    composer require guzzlehttp/guzzle
    composer require symfony/dom-crawler
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  3. Write the crawler class

    <?php
    require 'vendor/autoload.php';
    
    use GuzzleHttpClient;
    use SymfonyComponentDomCrawlerCrawler;
    
    class CrawlerExample
    {
        private $client;
    
        public function __construct()
        {
            $this->client = new Client([
                // 配置HTTP请求库,可添加代理、设置请求超时等
            ]);
        }
    
        // 获取需要识别的验证码图片
        private function getVerificationCode()
        {
            $response = $this->client->request('GET', 'http://example.com/verification_code_url');
            $content = $response->getBody()->getContents();
    
            $crawler = new Crawler($content);
    
            // 获取验证码图片的URL
            $imageUrl = $crawler->filter('img#verification_code')->attr('src');
    
            return $imageUrl;
        }
    
        // 通过打码平台识别验证码
        private function recognizeVerificationCode($imageUrl, $apiKey)
        {
            $response = $this->client->request('POST', 'http://api.dama2.com:7766/app/d2Url', [
                'form_params' => [
                    'url' => $imageUrl,
                    'appID' => $apiKey,
                ],
            ]);
    
            $result = $response->getBody()->getContents();
    
            return $result;
        }
    
        // 主逻辑
        public function run($apiKey)
        {
            $imageUrl = $this->getVerificationCode();
            $result = $this->recognizeVerificationCode($imageUrl, $apiKey);
    
            // 进行后续操作,如提交表单等
        }
    }
    
    $example = new CrawlerExample();
    $example->run('your_api_key');
    ?>
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  4. Run the crawler
    Replace http:// in the code example.com/verification_code_url is the actual verification code image URL. Replace your_api_key with the API key obtained on the coding platform. Run the script and the crawler will automatically obtain the verification code and identify it.
  5. Other Notes

    • The URL of the verification code image may change and needs to be adjusted accordingly according to the actual situation.
    • Coding platforms generally charge a certain fee, and the cost needs to be considered.
    • It is necessary to set a reasonable request interval and exception handling mechanism to avoid crawling failures caused by excessive access frequency or network abnormalities.

Conclusion:
This article introduces how to use PHP crawler class to solve the verification code identification problem. By using the API service of a third-party coding platform, the verification code recognition function can be easily integrated into the crawler. Of course, there are still situations where special types of verification codes cannot be recognized, in which case other technical means or manual intervention may be needed to solve the problem.

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