PhoenixNest /
AGENT-GLOBAL-BASE
You are an AGENT now. Welcome to the TEAM.
74/100 healthRecently updatedActive repository
PythonApache-2.0#agent-engineering#ai-agents#claude-code#gemini
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Hiteshydv001 / repository
Welcome to the LinkedIn Automate Comment project! 🚀🤖 This tool combines web scraping, sentiment analysis, and natural language processing 🧠✨ to automate meaningful LinkedIn interactions by generating and posting thoughtful comments 💬💡. Boost your engagement effortlessly! 🚀🔥
A transparent discovery signal based on current public GitHub metadata.
This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
Welcome to LinkedIn Automate Comment! This project leverages web scraping, sentiment analysis, and AI-driven text generation to automate meaningful LinkedIn interactions. 🎯
💡 LinkedIn Automate Comment simplifies professional networking by:
Ideal for professionals who want to stay active on LinkedIn with minimal effort! 🚀
1️⃣ Scrape Posts: web_scrapper.py logs into LinkedIn and collects posts.
2️⃣ Analyze Sentiment: analyze.py determines the tone of posts/comments.
3️⃣ Generate Comments: llm.py creates AI-powered, relevant responses.
4️⃣ Post Comments: test.py automates comment posting via Selenium.
🎯 Web Scraping: Extracts LinkedIn posts efficiently. 📊 Sentiment Analysis: Evaluates post/comment tone. 🤖 AI-Powered Comments: Generates concise, relevant responses. ⚡ Automation: Uses a headless browser to post comments. 📄 PDF Reports: Exports insights as downloadable PDFs.
Selected from shared topics, language and repository description—not editorial ratings.
PhoenixNest /
You are an AGENT now. Welcome to the TEAM.
74/100 healthDirectory structure:
└── hiteshydv001-linkedin-automate-comment/
├── README.md
├── anlyze.py
├── contribution.md
├── linkedin_posts.csv
├── llm.py
├── main.py
├── requirements.txt
├── service.json
├── web_scrapper.py
├── .env.local
├── JWoC/
│ └── Readme.md
├── agents/
│ ├── __init__.py
│ ├── agent_base.py
│ ├── generate_comment_agent.py
│ ├── refiner_agent.py
│ ├── sanitize_data_tool.py
│ ├── sanitize_data_validator_agent.py
│ ├── sentiment_analysis_agent.py
│ ├── summarize_tool.py
│ ├── summarize_validator_agent.py
│ ├── validator_agent.py
│ ├── write_post_tool.py
│ └── write_post_validator_agent.py
├── frontend/
│ ├── README.md
│ ├── components.json
│ ├── eslint.config.mjs
│ ├── next.config.ts
│ ├── package-lock.json
│ ├── package.json
│ ├── postcss.config.mjs
│ ├── tailwind.config.ts
│ ├── tsconfig.json
│ ├── .gitignore
│ ├── public/
│ │ └── linkedin-automation-icon.avif
│ └── src/
│ ├── app/
│ │ ├── globals.css
│ │ ├── layout.tsx
│ │ ├── page.tsx
│ │ ├── generate_comments/
│ │ │ └── page.tsx
│ │ ├── sentiment_analysis/
│ │ │ └── page.tsx
│ │ ├── summarize/
│ │ │ └── page.tsx
│ │ └── write_post/
│ │ └── page.tsx
│ ├── components/
│ │ ├── main-nav.tsx
│ │ ├── theme-provider.tsx
│ │ └── ui/
│ │ ├── button.tsx
│ │ ├── card.tsx
│ │ ├── dialog.tsx
│ │ ├── dropdown-menu.tsx
│ │ ├── form.tsx
│ │ ├── input.tsx
│ │ ├── label.tsx
│ │ ├── select.tsx
│ │ ├── tabs.tsx
│ │ ├── textarea.tsx
│ │ ├── toast.tsx
│ │ └── toaster.tsx
│ ├── hooks/
│ │ └── use-toast.ts
│ └── lib/
│ └── utils.ts
└── .github/
├── dependabot.yml
└── workflows/
└── codeql.yml
1️⃣ Clone the repository:
git clone https://github.com/hiteshydv001/linkedin-automate-comment.git
cd linkedin-automate-comment
2️⃣ Install required packages:
pip install -r requirements.txt
3️⃣ Configure environment variables in a .env file:
EMAIL=your_email@example.com
PASSWORD=your_password
GOOGLE_API_KEY=your_google_api_key
4️⃣ Ensure Chrome & ChromeDriver are installed.
python web_scrapper.py
python analyze.py
python llm.py
python test.py
🎯 Contributions are welcome! Follow these steps:
git checkout -b feature-name
git commit -m "Add feature description"
git push origin feature-name
This project is licensed under the MIT License. See the LICENSE file for details.
🎉 Enjoy automating your LinkedIn interactions with LinkedIn Automate Comment! 🚀
Please refer to our