Hello,
I am a seasoned Python developer with extensive experience in web scraping and data extraction from large-scale databases, making me well-suited for this project. I have worked on similar tasks involving detailed data collection and organizing it into clean, actionable spreadsheets, particularly for sales lead generation.
My approach begins with setting up a robust Python script using libraries like `BeautifulSoup`, `Selenium`, or `Scrapy` for efficient data extraction from the DataAxle database. The script will be designed to scrape all 18 million records while handling large volumes of data effectively. I will include error handling and implement rate-limiting techniques to ensure compliance with DataAxle’s policies.
After data collection, I will process and clean the dataset using Python libraries such as `pandas`, ensuring each field—company name, address, industry, revenue, employees, SIC codes, and descriptions—is accurately captured.
'Hire Me' to receive a well-structured spreadsheet that meets your specifications and is optimized for sales leads.
Best Regards,
Aneesa