Social Media Lead Generation

Overview

Social Media Lead Generation is a web application built using Streamlit that helps users extract potential leads from social media posts, specifically from LinkedIn. Users can input their LinkedIn credentials and a post URL to generate a list of potential leads based on the post's content.

Features

• Platform Selection: Currently supports lead generation from LinkedIn.
• User Authentication: Allows users to log in using their LinkedIn credentials.
• Data Extraction: Scrapes potential leads from specified LinkedIn post URLs.
• CSV Export: Users can download the extracted leads as a CSV file.
• User-friendly Interface: Simple and intuitive design for ease of use.

Technologies Used

• Python
• Streamlit
• Pandas
• BeautifulSoup (or any other web scraping library used in the scraper)

Installation

To set up this project locally, follow these steps:

1. Clone the Repository

   git clone https://github.com/Mu-Magdy/Vartur-lead-generation.git
   cd Vartur-lead-generation
   

2. Create a Virtual Environment (optional but recommended)

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the Required Packages

   pip install -r requirements.txt

Usage

1. Run the Application

   Start the Streamlit app by executing the following command:

   streamlit run main.py

2. Interact with the Application

   • Select the platform (currently only LinkedIn).
   • Enter your LinkedIn credentials and the URL of the LinkedIn post you wish to scrape.
   • Click on the "Generate" button to extract potential leads.
   • Download the results as a CSV file if needed.

Help Section

The help section provides a brief guide on how to use the application:

• Enter your credentials and a post URL in the text box.
• Click on Generate to extract potential leads.
• Download the data as a CSV file if needed.

---