Web Scraping Tool with Selenium and BeautifulSoup
Automate data extraction from the VATVA Association website with this powerful web scraping tool using Selenium and BeautifulSoup.
Industry:
In today's data-driven world, businesses often need to collect and analyze information from various online sources to make informed decisions. However, manually gathering data from websites can be time-consuming and inefficient, especially when dealing with dynamic content that requires user interaction, such as scrolling and clicking. This project aims to automate the process of extracting contact information from the **VATVA Association** website, which contains a list of chemicals and associated companies. The goal is to develop a web scraping tool that can seamlessly navigate the site, collect relevant data, and save it in a structured format for further analysis.
🖱️ Automated Browser Navigation: Using Selenium, the script opens the Brave browser and navigates to the specified URL.
⏳ Dynamic Content Loading: The script scrolls down the page to trigger loading additional content until all relevant data is loaded.
📊 Data Extraction: The HTML content is parsed using BeautifulSoup to extract company names, contact persons, email addresses, and mobile numbers from the loaded pages.
💾 Data Storage: The extracted data is stored in a CSV file for easy access and analysis.
This solution utilizes the following key components:
Selenium: Automates the web browser to interact with web pages and gather data.
BeautifulSoup: Parses HTML content to extract desired information.
Pandas: Manages and manipulates data for easy export to CSV format.
Requests: Handles HTTP requests to fetch individual company pages.
This web scraping tool effectively automates the data extraction process, saving time and effort while providing valuable insights into company information from the VATVA Association website. It can be easily adapted to scrape data from other similar websites by modifying the URL and extraction logic.
