Summary of solutions to parsing errors encountered when using Python crawlers

Encountering parsing errors is one of the common problems when doing Python crawling tasks. Parsing errors can be caused by changes in the web page structure, encoding issues, wrong XPath selectors, etc. In order to help you solve this problem, this article will provide some practical solutions and give relevant code examples, hoping to help you with your crawling tasks.

A parsing error usually means that when crawling a web page or processing the returned data, due to irregular or mismatched data format, it cannot be parsed correctly. This can lead to issues such as failed data extractions, errors, or incorrect data.

The following are several common solutions, and you can choose the method that suits you according to your actual situation:

  1. Check the page structure:

    When encountering a parsing error, the first thing to check is whether the structure of the page has changed. You can determine the structure of a web page by viewing the source code of the web page, using the browser developer tools, or the parsing tools provided by the crawler framework.

  2. Dealing with encoding issues:

    When crawling non-English web pages, you may encounter encoding problems. You can determine the encoding format of the webpage by analyzing the Content-Type field in the header of the webpage or use an encoding detection library, and perform corresponding decoding processing.

    In this example, we use the requests library to send a GET request, detect the encoding format of the web page through the chardet library, and perform decoding processing.

  3. Adjust XPath selectors:

    When using XPath for web page parsing, you may encounter the problem of selector errors. You can redefine selectors by adjusting XPath expressions, using multiple selectors, or using the parsing tools provided by the crawler framework.

In this example, we use the etree module of the lxml library to convert the web page content into a parseable tree structure, and use the XPath selector to extract the text content of the specified tag.

By inspecting the web page structure, dealing with encoding issues, or tweaking XPath selectors, you can effectively troubleshoot parsing errors encountered in Python crawlers. Please note that the above code examples are only demonstrations, please make corresponding adjustments according to your specific needs and crawler framework in actual use.

I hope the solutions in this article can help you in solving the problem of parsing errors and provide real value to your crawling tasks. If you need more help or have any questions, welcome to leave a message in the comment area for discussion.

Thank you for reading this article, and I wish you a smooth crawling journey!insert image description here

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Origin blog.csdn.net/D0126_/article/details/132039903