Marketing Agent

Overview

This project is a marketing agent that scrapes the contact information of marketing managers from various tech company websites, summarizes the content of these websites, and generates personalized emails for the marketing managers. (PS: You can change the title of the managers, not just marketing)

Project Structure

• main.py: The main script that orchestrates the entire process.
• utils/db.py: Contains functions to create the database and save contact information and emails.
• utils/helper_functions.py: Contains helper functions for web scraping, summarizing content, and generating personalized emails.
• utils/agents.py: Contains functions to generate summaries and emails using an AI model.
• Dockerfile: Docker file to containerize the application, making it easier to deploy and run in different environments.

Setup

1. Clone the repository:

   git clone https://github.com/jawherkh/Marketing-Agent.git
   cd Marketing-Agent

2. Install dependencies: Ensure you have Python installed. Then, install the required packages:

   pip install -r requirements.txt

3. Set up Apollo API Key: Replace "Apollo-API-Here" in helper_functions.py with your actual Apollo API key.

4. Set up Groq API Key: Export your Groq API key as an environment variable:

   export GROQ_API_KEY="your_groq_api_key"

Running the Project

1. Run the main script:

   python main.py

Explanation of main.py

• Imports:

  from utils.helper_functions import *
  from utils.db import *
  import sqlite3

• Database Functions:

  • create_database(): Creates the database and tables if they do not exist.
  • save_contact_info(contact): Saves contact information to the database.
  • save_emails(emails): Saves generated emails to the database.

• Main Function:

  def main():
      try:
          create_database()
  
          person_title = "Marketing Manager"
          tech_company_urls = [
              "figma.com", "notion.so", "linear.app", "vercel.com",
              "sentry.io", "datadog.com", "twilio.com", "plaid.com",
              "superhuman.com", "buttercms.com",
          ]
  
          scraped_content = scrape_apollo(person_title, tech_company_urls)
          contact = extract_contact_info(scraped_content)
          save_contact_info(contact)
  
          summarized_texts = scrape_and_summarize(tech_company_urls)
          emails = generate_personalized_email(contact, summarized_texts)
          save_emails(emails)
      except Exception as e:
          print(f"An error occurred: {e}")

Error Handling

• The code includes error handling for database operations and web scraping to ensure the program continues running even if an error occurs.

Notes

• Please ensure you have a stable internet connection as the script involves web scraping and API calls.
• The database marketing_agent.db will be created in the same directory as the script if it does not exist.