Web Scraping General Pipeline

1. HTTP Requests: The first step in web scraping is to send an HTTP request to the target website to fetch the web page. This can be done using libraries like requests or urllib in Python.

2. HTML Parsing: Once the web page is fetched, the HTML content needs to be parsed to extract the relevant data. Libraries like Beautiful Soup or lxml can be used for this purpose.

3. Locating Elements: Web scraping often requires locating specific elements within the HTML structure, such as tags, classes, or IDs. CSS selectors or XPath expressions can be used to identify these elements.

4. Data Extraction: After locating the desired elements, the data can be extracted using various methods. This may involve extracting text, attributes, or even navigating through nested elements.

5. Handling Dynamic Content: Some websites use JavaScript to load content dynamically. To scrape such websites, you may need to use tools like Selenium or Scrapy that can interact with JavaScript-driven pages.