I will scrape data from any website using selenium and beautifulsoup

Need clean, structured data extracted from dynamic websites, directories, or public listings?

I build custom web scrapers to extract data from any websiteeven those with dynamic JavaScript, infinite scrolling, pagination, or interactive elements. Using Python (Selenium/BeautifulSoup) for scraping and Pandas for rigorous data cleaning, I deliver datasets that are 100% ready for analysis.

What I Can Scrape:

• Public Business Directories & Lead Lists (Phone numbers, emails, addresses, maps)
• Real Estate Listings & Job Boards (Titles, descriptions, locations, pay rates)
• E-Commerce & Product Catalogs (Prices, specs, SKUs, ratings, image URLs)
• Event Lists, Market Data & Social Profiles

Complete Data Sanitization (Pandas Cleaning):

• No Raw Text Mess: Stripping currency symbols ($), commas, and special characters using regex.
• Correct Data Types: Converting text numbers into proper numeric floats/integers so you can run formulas immediately.
• Field Parsing: Splitting combined text (e.g., full addresses into street, city, state, zip).
• Clean Output: Duplicate removal and proper missing value (NaN) handling.

Clean .xlsx (Excel), .csv, .json, or a fully documented Python automation script