Scrape Data from a Website

We are looking for an experienced freelancer to scrape and organize data from a public website into a clean, structured format. The project will involve identifying the required data fields, extracting the information accurately, removing duplicates or incomplete records where appropriate, and delivering the final data in Excel or CSV format. The ideal freelancer should have experience with: * Web scraping and data extraction * Python and common scraping tools such as BeautifulSoup, Scrapy, Selenium, or Playwright * Working with pagination, dynamic pages, and JavaScript-based websites * Data cleaning, validation, and deduplication * Excel and CSV data formatting * Creating repeatable or automated scraping processes when practical We will provide the target website, the specific information we want collected, and the desired output format. Accuracy and completeness are important. We would also like the freelancer to communicate any limitations, access restrictions, missing fields, or technical issues discovered during the project rather than making assumptions. When responding, please briefly explain: 1. Your experience with similar website-scraping projects. 2. The tools or approach you would likely use. 3. Whether you can provide both the collected data and the scraping script/process. 4. How you would verify the accuracy and completeness of the results. We prefer straightforward communication, clear progress updates, and a clean final deliverable that can be easily reviewed and reused.