Heyo!
I’m a Computer Science MSc student with recent interest in web scraping and data automation. Over the past few years, I’ve honed my skills in backend development and web scraping, and I’m excited to share two Apify Actors I’ve developed to help you build comprehensive datasets effortlessly.
🔍 What I Built:
Newegg Scraper: Newegg Scraper on Apify Features: Extracts detailed product information, pricing, customer reviews, and category listings from Newegg. Use Cases: Ideal for creating datasets for market analysis, price tracking, and competitive research in the electronics and e-commerce sectors. Glovo Scraper: Glovo Scraper on Apify Features: Gathers comprehensive restaurant data, including names, addresses, delivery fees, promotions, and menu items from Glovo. Use Cases: Perfect for building datasets related to food delivery services, local restaurant analysis, and market trend tracking.
Why These Scrapers?
Building high-quality datasets can be time-consuming and technically challenging. These scrapers are designed to simplify the data collection process, providing you with structured and ready-to-use data for your projects. Whether you’re conducting research, developing machine learning models, or performing business intelligence, these tools can save you valuable time.
Seeking Your Feedback:
I’m eager to hear your thoughts! If you have any suggestions for improvements, additional features you’d like to see, or feedback on your experience using these scrapers, please let me know. Your insights are invaluable in making these tools even better for the community.
Thank you for your time, and happy data hoarding! 🗄️✨
submitted by /u/Rorisjack
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