Web Scraper for Real Estate

We are seeking a talented Web Scraper Developer with experience in Python and Jupyter Notebook to build a custom data extraction tool for renomy as well as landvision. The primary goal is to automate the retrieval of property information, owner details, emails, phone numbers, and mailing addresses from a list of property addresses stored in Excel. The scraped data should then be organized and exported to a new, well-structured Excel file. Also be able to Install and Run on my personal computer Key Responsibilities: Develop a robust web scraper using Python and Jupyter Notebook to extract data from renomy. Integrate an Excel-reading mechanism to import a list of addresses. Compile relevant information such as property address, owner name, email(s), phone number(s), and mailing address. Export the final dataset into a neatly organized Excel file (with separate columns for each data field). Ensure the solution handles errors gracefully (e.g., missing data, invalid addresses). Maintain data integrity and accuracy throughout the scraping process. Document your code and provide a brief guide on how to run and maintain the scraper.

Project ID: 39211617