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It leverages **BeautifulSoup** for HTML parsing and **pandas** for data structuring, making it easy to analyze and visualize the extracted data.  \n\n---\n\n## ✨ Features  \n✅ Extracts **company names, ratings, reviews, job types, and locations**  \n✅ Scrapes **Highly Rated For** and **Critically Rated For** sections  \n✅ Stores data in a **structured pandas DataFrame**  \n✅ Handles missing values gracefully to prevent errors  \n✅ Saves results in **Excel (.xlsx) format** for easy access  \n\n---\n\n## 🔧 Installation  \nMake sure you have **Python 3.x** installed, then install the required dependencies:  \n\n```bash\npip install requests beautifulsoup4 pandas openpyxl\n```\n\n---\n\n## 🚀 Usage  \nRun the script to start scraping:  \n\n```bash\npython ambitionbox_scraper.py\n```\n\nYou can also run it inside **Jupyter Notebook**:  \n\n```python\nfrom ambitionbox_scraper import scrape_data\nscrape_data()\n```\n\nThe extracted data will be saved as an Excel file (`data_file.xlsx`) for further analysis.  \n\n---\n\n## 📂 Project Structure  \n```\n📂 AmbitionBox-Scraper  \n ├── 📜 ambitionbox_scraper.ipynb   # Jupyter Notebook with scraping logic  \n ├── 📜 ambitionbox_scraper.py      # Python script for standalone execution  \n ├── 📂 data/                        # Folder to store extracted data  \n │   ├── data_file.xlsx             # Output file with scraped data  \n ├── 📜 README.md                    # Project documentation  \n```\n\n---\n\n## 📊 Output Example  \n| Company Name       | Rating | Reviews | Job Type | Location |\n|--------------------|--------|---------|----------|----------|\n| XYZ Corp          | 4.2    | 1,230   | IT       | Mumbai   |\n| ABC Ltd           | 3.8    | 890     | Finance  | Bangalore |\n| Tech Innovators   | 4.5    | 2,500   | Software | Pune     |\n\n---\n\n## 🛠 Dependencies  \n- **requests** → To fetch web pages  \n- **BeautifulSoup4** → For HTML parsing  \n- **pandas** → To structure and analyze data  \n- **openpyxl** → To save data in Excel format  \n\n---\n\n## ⚠️ Disclaimer  \nThis project is for **educational purposes only**. Scraping websites without permission may violate their terms of service. Always check the website's **robots.txt** before scraping.  \n\n---\n\n## 📜 License  \nThis project is licensed under the **MIT License**.  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpushpakrai%2Fwebsite-scrapper","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpushpakrai%2Fwebsite-scrapper","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpushpakrai%2Fwebsite-scrapper/lists"}