A Python application that analyzes websites for Salesforce mentions and generates a score based on the frequency of mentions.

• Reads company domains from a CSV file
• Crawls websites respecting robots.txt
• Skips blog posts, articles, and thread pages
• Generates a Salesforce mention score (0.0-10.0)
• Outputs results in CSV format

1. Create a virtual environment (recommended):

python -m venv .venv source .venv/bin/activate # On Unix/macOS # OR .venv\Scripts\activate # On Windows

2. Install dependencies:

pip install -r requirements.txt

1. Prepare your input CSV file with a list of domains (one domain per line)
2. Run the analyzer:

python salesforce_analyzer.py --input input.csv --output results.csv

Your input CSV should have a header row and contain domains in the following format:

domain example.com company.org 

The program will generate a CSV file with the following columns:

• domain: The website domain
• score: Salesforce mention score (0.0-10.0)
• status: Success/Error message