GoProductReviewScraper is a web scraping project in GoLang that fetches and stores product reviews from popular e-commerce websites. Users can specify a product category or keyword to retrieve the latest reviews related to their interests. The extracted data is stored in a structured format for further analysis or presentation.
Web Scraping with Colly
This project uses Colly, a powerful web scraping framework in GoLang. Colly provides a simple API for performing web scraping tasks and is well-suited for writing crawlers, scrapers, and spiders.
- Web Scraping: Extract product reviews using GoLang's HTTP client and HTML parsing libraries.
- User Input: Select a product category or enter custom keywords to fetch relevant reviews.
- Error Handling: Gracefully handle connectivity issues and invalid user input.
- Data Storage: Store extracted review data in a structured format (JSON/CSV).
- Caching: Reduce requests to the website by implementing a caching mechanism.
- Pagination Handling: Fetch reviews from multiple pages with pagination support.
- Asynchronous Scraping: Improve performance using asynchronous web scraping.
- Respectful Scraping: Comply with the website's terms of service and scraping policies.
- Clone the repository:
git clone https://github.com/mikias-tulu/Go-ProductReview-Scraper.git - Navigate to the project directory:
cd Go-ProductReview-Scraper - Install dependencies.
- Run the application:
go run main.go - Follow the on-screen prompts to specify the category or topic for news articles.
Contributions are welcome! If you have suggestions, bug reports, or want to add new features, feel free to open an issue or submit a pull request.
This project is licensed under the MIT License.