How to Web Scrape Events from nvd.nist.gov for the Current Day скачать в хорошем качестве

How to Web Scrape Events from nvd.nist.gov for the Current Day

Learn how to effectively web scrape vulnerabilities from nvd.nist.gov published on the current day using Python and BeautifulSoup. --- This video is based on the question https://stackoverflow.com/q/75117360/ asked by the user 'Waldecker' ( https://stackoverflow.com/u/16931260/ ) and on the answer https://stackoverflow.com/a/75119018/ provided by the user 'Andrej Kesely' ( https://stackoverflow.com/u/10035985/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Web scrape events vom nvd.nist.gov from the current day Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- Web Scraping Events from nvd.nist.gov for the Current Day Web scraping is a powerful tool for gathering data from websites, but it can often lead to frustrating issues, especially when trying to retrieve specific information like today's vulnerabilities from the National Vulnerability Database (NVD). In this guide, we will address a common problem: scraping only the vulnerabilities published on the current day from nvd.nist.gov and the solution to achieve that effectively. The Problem at Hand If you're attempting to scrape specific vulnerability data, such as the publication date from a CVE (Common Vulnerabilities and Exposures) page, you might encounter a situation where your code doesn't match the expected output. For instance, when checking if the current day's date appears on the webpage, a result of "no match" can be frustrating. Here's the confusion: the code snippet you've likely tried may look something like this: [[See Video to Reveal this Text or Code Snippet]] The anticipated result might be: [[See Video to Reveal this Text or Code Snippet]] However, the actual output is: [[See Video to Reveal this Text or Code Snippet]] The Solution: Correcting the Approach To resolve this issue, you need to make a few modifications to your web scraping code. Here’s a comprehensive guide to achieving this. 1. Import Necessary Libraries First, ensure you have the required libraries for web scraping. You need requests for getting the webpage content and BeautifulSoup for parsing HTML. [[See Video to Reveal this Text or Code Snippet]] 2. Fetch Content from the Webpage You'll want to access the specific URL that contains the vulnerability data. Here’s how to do it: [[See Video to Reveal this Text or Code Snippet]] 3. Parse the HTML with BeautifulSoup After fetching the webpage content, parse it with BeautifulSoup to make it easier to navigate through the HTML structure. [[See Video to Reveal this Text or Code Snippet]] 4. Extract the Publication Date This is where the primary change occurs. Instead of using find_all() which retrieves a list of all matching elements (and can complicate checking a single date), you should use find() which returns the first match. Additionally, access the .text attribute to get only the text from the HTML element. [[See Video to Reveal this Text or Code Snippet]] 5. Compare the Dates Now, you can directly compare the extracted date with the current date: [[See Video to Reveal this Text or Code Snippet]] Complete Code Example Integrating all the above steps, your complete code should look like this: [[See Video to Reveal this Text or Code Snippet]] Conclusion Using the above steps, you should be able to successfully scrape the current day vulnerabilities from nvd.nist.gov. Remember, web scraping can often require adjustments based on slight changes in HTML structure or data formatting. Happy scraping!