README.md

Create a folder name data in your working directory first.

Command-Line Usage

1. Scraping Business Links

python script_name.py --keyword "your business keyword" -l

• This command scrapes links of businesses based on your keyword and stores them in:

  data/links/{keyword}.csv
  

2. Scraping Detailed Business Data

python script_name.py --keyword "your business keyword" -r

• This command uses the links from data/links/{keyword}.csv to scrape detailed business information and saves it in:

  data/{keyword}.csv
  

3. Folder Structure and Data Usage

• data/links/: Stores the business profile links in a CSV files.
  • Example: data/links/Real Estate Firms.csv
• data/: Stores the detailed scraped data.
  • Example: data/Real Estate Firms.csv

4. Running Both Steps Together

First, scrape links:

python script_name.py --keyword "plumbers" -l

Then, scrape details using the saved links:

python script_name.py --keyword "plumbers" -r

Results