GitHub - credwise14/probz_sales: An open source git repository to enrich your sales leads

Lead Enrichment Tool

An open-source project designed to enhance your sales leads by leveraging LinkedIn data and AI-powered analysis. This tool helps businesses evaluate and qualify potential leads efficiently, making it a valuable asset for scaling sales efforts.

Features

LinkedIn Integration: Extracts detailed user profiles, posts, and company information.
OpenAI-Powered Analysis: Uses GPT-based models to evaluate leads and provide actionable insights.
Customizable Criteria: Tailor lead evaluation prompts to match your ideal customer persona (ICP).
Data Output: Generates user and company ratings alongside recommendations for top tools that fit the business needs.

Installation

Clone the repository:

git clone https://github.com/your-repo/lead-enrichment-tool.git
cd lead-enrichment-tool

Install dependencies:
```
pip install -r requirements.txt
```
Set up your environment:
- LinkedIn Credentials: Use a dedicated LinkedIn account to avoid rate limits.
- OpenAI API Key: Obtain your API key from the OpenAI platform.
Modify the code as needed:
- Update the placeholders in the system_prompt and user_prompt with your business details.

Usage

Prepare a CSV file with columns for LinkedIn and Company LinkedIn links.
Update the file_path variable in the script to point to your CSV file.
Run the script:
```
python lead_enrichment_tool.py
```
Output will include:
- User and company ratings.
- Recommendations for tools based on the analysis.

Example Output

A JSON structure with the following format:

{
  "user_rating": 8,
  "company_rating": 7,
  "top_tools": [
    {
      "tool_name": "CRM Optimizer",
      "description": "Improves lead tracking and conversion."
    },
    {
      "tool_name": "Data Insights Dashboard",
      "description": "Provides real-time analytics for sales performance."
    }
  ]
}

Requirements

Python 3.8+
Libraries:
- linkedin-api
- openai
- requests
- pandas

For a full list of dependencies, see requirements.txt.

Notes

Ensure compliance with LinkedIn's terms of service when scraping data.
Use a dedicated LinkedIn account to avoid interruptions.

Contributions

Contributions are welcome! Please fork the repository, make your changes, and submit a pull request.

LinkedIn Commentor

Change line 44 (Prompt about your company/personal brand) and 87 (Linkedin post url where you want the AI to comment)

You need the install the dependencies in the requirement.txt

python -m venv venv source venv/bin/activate pip install -r requirements.txt pip list

Before running the script, close all chrome tabs and run chrome in debug mode

-- open -na "Google Chrome" --args --remote-debugging-port=9222 --user-data-dir="/Users/dheeraj/Library/Application Support/Google/Chrome" --profile-directory="Default" -- ensure your linkedin is logged in default mode