{"id":25236927,"url":"https://github.com/steadyxlr8/googlemapsscrapper","last_synced_at":"2025-09-20T07:33:54.126Z","repository":{"id":276258904,"uuid":"928732284","full_name":"SteadyXLR8/GoogleMapsScrapper","owner":"SteadyXLR8","description":"The GoogleMapsScrapper aims to extract valuable business and location data from Google Maps to support market research, lead generation, and competitive analysis. 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Using **Selenium** for web automation and **Pandas** for data processing, this project enables users to collect valuable business insights, including names, addresses, phone numbers, ratings, and reviews. The extracted data can be used for market research, lead generation, and competitive analysis.\n\n## 🎯 Features\n- **Automated Data Extraction:**\n  - Business Name\n  - Address\n  - Phone Number\n  - Website URL\n  - Ratings \u0026 Reviews\n  - Opening Hours\n  - Business Category\n- **Search Query Input:** Define search parameters (e.g., \"coffee shops in New York\").\n- **Data Processing \u0026 Storage:**\n  - Uses **Pandas** to clean, filter, and structure data.\n  - Exports results to **CSV, JSON**, or stores them in an **SQLite/PostgreSQL database**.\n- **Error Handling \u0026 Anti-Detection Measures:**\n  - Implements **randomized delays, user-agent rotation,** and **headless browsing**.\n- **Data Visualization (Optional):** Generate summary insights using **Matplotlib/Seaborn**.\n\n## 🛠 Tech Stack\n- **Python** – Core programming language\n- **Selenium** – Web automation for navigating Google Maps\n- **Pandas** – Data processing and analysis\n- **BeautifulSoup (Optional)** – Parsing extracted HTML content\n- **SQLite/PostgreSQL (Optional)** – Storing structured data\n\n## ⚠️ Challenges \u0026 Considerations\n- **Google’s Anti-Scraping Policies:** Google actively prevents automated data collection, so techniques like **randomized delays and proxy usage** are necessary.\n- **Performance Optimization:** Running **Selenium** efficiently while extracting large datasets.\n- **Legal \u0026 Ethical Compliance:** Respect **Google’s terms of service** and explore **API-based alternatives** when necessary.\n\n## 🚀 Installation \u0026 Setup\n### Prerequisites\nEnsure you have **Python 3.8+** installed on your system. Install the required dependencies:\n\n```sh\npip install selenium pandas beautifulsoup4\n```\n\n### Setup Selenium WebDriver\nDownload the WebDriver for your browser:\n- **Chrome:** [Chromedriver](https://sites.google.com/chromium.org/driver/)\n- **Firefox:** [Geckodriver](https://github.com/mozilla/geckodriver/releases)\n- Place the WebDriver in your project directory or set it in your system path.\n\n## 📌 Usage\n1. Clone this repository:\n   ```sh\n   git clone https://github.com/your-username/google-maps-scraper.git\n   cd google-maps-scraper\n   ```\n2. Run the scraper:\n   ```sh\n   python scraper.py \"coffee shops in New York\"\n   ```\n3. The extracted data will be saved as `output.csv` in the project directory.\n\n## 🎯 Use Cases\n- **Business intelligence** and competitor research.\n- **Lead generation** for marketing and sales teams.\n- **Local business analysis** for SEO and advertising strategies.\n\n## 📝 License\nThis project is licensed under the **MIT License**. Feel free to use and modify it.\n\n## 🤝 Contributing\nContributions are welcome! Feel free to **fork** the repo and submit a **pull request**.\n\n## 📞 Contact\nFor any questions or suggestions, reach out via GitHub Issues.\n\n---\n✅ **Disclaimer:** Web scraping Google Maps may violate their **terms of service**. Use this project **responsibly** and explore the [Google Places API](https://developers.google.com/maps/documentation/places) as an alternative.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsteadyxlr8%2Fgooglemapsscrapper","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsteadyxlr8%2Fgooglemapsscrapper","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsteadyxlr8%2Fgooglemapsscrapper/lists"}