Web Scraping Using Selenium library with Python | Belayet Hossain

Web Scraping Using Selenium library with Python | Belayet Hossain

Web Scrapping: Web scraping is a method of automatically extracting information from websites.

Most Usage Web scraping methods:

1). Requests. 2). Selenium. 3). Scrapy. 4). BeautifulSoup


THIS ARTICLE ABOUT SELENIUM LIBRARY:

Use of Selenium:

(a). It we use In that website, where need to log in to scrape data.

(b). It’s also used in which website Java Script is disabled.

Selenium library in Python is a web scraping tool that enables data scientists to extract data from websites by automating the navigation and interaction with web pages. It is particularly useful for data scraping tasks that involve dynamic web pages, which change content based on user interaction

With Selenium, data scientists can simulate human behavior when browsing a website and extract the data they need.


HERE ARE THE STEPS TO PERFORM WEB SCRAPING WITH SELENIUM AND PYTHON:

  • 1. Install Selenium Python bindings and a browser driver such as Chrome or Firefox
  • 2. Open the website you want to scrape and inspect its HTML structure to identify the data you want to extract
  • 3. Create a new Python script and import the Selenium library
  • 4. Initialize a new instance of the web driver you selected in step 1
  • 5. Use the web driver to navigate to the website you want to scrape
  • 6. Interact with the website using the Selenium functions and methods to select elements, fill in forms, click buttons, and extract data
  • 7. Store the extracted data in a structured format, such as a Pandas dataframe, for further analysis and manipulation
  • 8. Repeat the process as needed to extract additional data from the website or other websites
  • 9. Close the web driver and end the scraping process when finished.


SEVERAL ADVANTAGES OVER OTHER SCRAPING METHODS:

1. Dynamic Web Pages: Selenium can handle dynamic web pages, which are pages that change content based on user interaction. This is a significant advantage as many websites use dynamic elements, making it difficult to extract data with traditional scraping methods
2. Cross-Browser Support: Selenium supports multiple browsers

Scrapped Data ref.

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