ProductZilla is a powerful web scraping tool built in Python, designed specifically for extracting data from various ecommerce websites. This tool empowers users to efficiently gather information about products from different online stores, making it a valuable asset for market research, price tracking, and competitive analysis.
- Ease of Use: ProductZilla is user-friendly, with a simple and intuitive interface that allows even beginners to use it effortlessly.
- Versatile: The tool supports scraping data from a wide range of ecommerce websites, enabling users to gather information from diverse sources.
- Customizable: ProductZilla offers flexibility with customizable scraping parameters, allowing users to tailor their data extraction based on specific requirements.
- Scalability: The tool is designed to handle large-scale scraping tasks, ensuring efficient and fast extraction of data from multiple pages and categories.
- Data Accuracy: ProductZilla ensures high data accuracy by employing advanced scraping techniques and error handling mechanisms.
Follow these steps to get started with ProductZilla:
-
Installation:
- Clone the repository:
git clone https://github.com/AbdullahButt2611/ProductZilla-Web-Scrapping-.git
- Navigate to the project directory:
cd ProductZilla-Web-Scrapping
- Install dependencies:
pip install -r requirements.txt
- Clone the repository:
-
Usage:
- Open the
main.py
file and configure the scraping parameters such as the target website URL, data fields to extract, etc. - Run the script:
python main.py
- Open the
-
Output:
- The scraped data will be saved in a structured format, such as a CSV or JSON file, depending on the user's configuration.
Customize the scraping parameters in the config.py
file to suit your needs. Modify the target URL, data fields to extract, and other settings according to the structure of the website you are scraping.
- Respect the terms of service of the websites you are scraping to avoid legal issues.
- Use ProductZilla responsibly and ethically.
If you encounter any issues or have suggestions for improvement, feel free to open an issue on the GitHub repository. Contributions are welcome!
Happy Scraping with ProductZilla!