🐦 Tweety

Tweety is a Python-based tweet scraper that bypasses Twitter’s API limitations by using Selenium to collect tweets directly from the web. No API keys, no rate limits, no restrictions — just fast and flexible scraping.

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🔗 Project Links

Resource	URL
🐍 PyPI	tweety on PyPI
🛠 Repository	GitHub Repo
📚 Documentation	Documentation

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✨ Features

• 🔍 Scrape tweets by keyword/topic — no login required
• 🚫 No Twitter API needed — no rate limits!
• 🧠 Sentiment analysis using VADER and TextBlob
• 📊 Structured output using pandas

🧪 You can scrape ~25 pages (~1200 tweets) reliably in one run.

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📦 Dependencies

• beautifulsoup4
• selenium
• chromedriver-binary
• vaderSentiment
• textblob
• pandas

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📥 Installation

Install the dependencies with pip:

pip install -r requirements.txt

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⚙️ Usage

from twitter.tweety import tweets

# Scrape tweets related to "Super Deluxe"
tweety = tweets("Super Deluxe")

# Print sentiment analysis results
print("Polarity Scores : " + str(tweety.final_sentiment_scores))

📂 Tweety Directory Structure

📊 Output Example

Polarity Scores : {'positive': 0.55, 'neutral': 0.35, 'negative': 0.10}

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🤝 Contributing

Contributions are welcome! For major changes, please open an issue first to discuss what you’d like to improve. Don’t forget to update or add tests as needed.

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📜 License

This project is licensed under the MIT License.