https://github.com/extrawest/ai-agentic-linkedin-company-profile-finder

LinkedIn company profiles finder using LangChain Agents
https://github.com/extrawest/ai-agentic-linkedin-company-profile-finder

agents ai-tools demo google-custom-search javascript langchain langchain-community langchain-js openai prompts

Last synced: 15 days ago
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LinkedIn company profiles finder using LangChain Agents

• Host: GitHub
• URL: https://github.com/extrawest/ai-agentic-linkedin-company-profile-finder
• Owner: extrawest
• Created: 2024-08-01T16:07:37.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-08-02T07:52:21.000Z (6 months ago)
• Last Synced: 2024-08-27T09:05:37.493Z (5 months ago)
• Topics: agents, ai-tools, demo, google-custom-search, javascript, langchain, langchain-community, langchain-js, openai, prompts
• Language: JavaScript
• Homepage:
• Size: 15.6 KB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# LinkedIn Company Profile Finder

This project is a Node.js application that automates the process of finding LinkedIn company profiles for a list of companies. It uses various technologies and APIs to efficiently search and retrieve LinkedIn URLs.

## Demo

https://github.com/user-attachments/assets/233568eb-c02c-49df-9bca-f44aa2b454b0

## Technologies and Frameworks Used

- **Node.js**: The runtime environment for executing the JavaScript code.

- **ES Modules**: The project uses ECMAScript modules (import/export syntax).

### Libraries and Packages

- **fs/promises**: For asynchronous file system operations.

- **p-limit**: To limit the number of concurrent operations.

- **dotenv**: For loading environment variables from a .env file.

- **@langchain/openai**: To interact with OpenAI's language models.

- **@langchain/community**: For document loaders and tools.

- **langchain/agents**: To create and execute AI agents.

### APIs and External Services

- **OpenAI API**: Used for natural language processing tasks.

- **Google Custom Search API**: For performing web searches to find LinkedIn profiles.

## Key Concepts and Features

1. **CSV Data Loading**: The application reads company data from a CSV file.

2. **Concurrent Processing**: Uses `p-limit` to manage concurrent API requests.

3. **AI-powered Search**: Utilizes OpenAI's GPT-4 model to interpret search results and extract LinkedIn URLs.

4. **Custom Search Integration**: Implements Google Custom Search to find company profiles on LinkedIn.

5. **Error Handling**: Includes basic error handling for individual company processing.

6. **Output Generation**: Writes the results to a CSV file.

## Setup and Configuration

1. Clone the repository.

2. Install dependencies with `npm install`.

3. Create a `.env` file with the following variables:

   - `OPENAI_API_KEY`: Your OpenAI API key

   - `GOOGLE_API_KEY`: Your Google API key

   - `GOOGLE_CSE_ID`: Your Google Custom Search Engine ID

4. Ensure you have a `data/companies.csv` file with company names.

	The CSV file should have the following structure:

	- It must have a header row.

	- The first column should contain the company names.

## Usage

Run the script with:

`node index.js`

The script will process the companies and output the results to `output.csv`.