A basic platform that can scrape people’s phone numbers and email addresses, from instagram and Facebook based on geographical areas, Like people that follow @sample page in Miami Dade county And then automatically put it into a Excel sheet

Choose a programming language: You'll need to choose a programming language that is well-suited for web scraping. Python is a popular choice for this task as it has several libraries for web scraping.
Set up your development environment: Install an Integrated Development Environment (IDE) and set up the required libraries for web scraping. You'll need to install libraries such as Requests, BeautifulSoup, and Selenium.
Identify the specific areas: Determine the specific areas you want to target and identify relevant Instagram accounts that contain the names and contact info you need.
Build a crawler: Use Python to create a web crawler that can navigate through Instagram accounts and extract the relevant data. Your crawler should be able to follow links, extract data, and store the data in a database.
Analyze the data: After you've collected the data, you can use it to identify patterns and trends. For example, you might find that certain types of businesses are more prevalent in specific areas.
Export the data: You can export the data to a CSV file, Excel spreadsheet, or any other format that suits your needs.