langchain-mastery

This project demonstrates how to leverage Linkedin's search

Technologies Used

• Linkedin Search
• Fullstack development
• SerpAPI(Google Search API)
• Prespeo(LinkedIn Email Finder & Data API)
• LangChain
• Flask API

Environment Variables

To run this project, you will need to add the following environment variables to your .env file

PYTHONPATH=/{YOUR_PATH_TO_PROJECT}/langchain-mastery

OPENAI_API_KEY

PROSPEO_API_KEY

SERPAPI_API_KEY

(Option)PROXYCURL_API_KEY

LangChain

1. Search Result Scraping with SerpAPI

SerpAPI allows you to efficiently locate desired profiles by scraping Google Search results within the project.

2. Enhanced Precision with Agent

Agent's advanced search algorithms refine SerpAPI results, saving time and effort by filtering out irrelevant profiles and prioritizing highly relevant profiles matching your criteria.

Getting Started

Clone the project repository

git clone https://github.com/milhaud1201/langchain-mastery.git

Go to the project directory

cd langchain-mastery

Install from Pipenv

pip install pipenv

Install from Pipfile

pipenv install

Next, activate the Pipenv shell

pipenv shell
python --version

Start the flask server

pipenv run app.py

Running Tests

To run tests, run the following command

pipenv run pytest .