Web scraping is like reverse-engineering the web—transforming cluttered, unstructured websites into clean, actionable datasets. By extracting and organizing data into spreadsheets (CSV/Excel) or databases, it empowers businesses and researchers to make data-driven decisions. Here’s how it’s used:
🛠 Key Applications
Price Intelligence: Build supplier/manufacturer databases or compare prices across sites to find the best deals.
Research & Trends: Mine academic, governmental, or social media data for scientific studies, data journalism, or trend analysis.
Lead Generation: Scrape real estate or B2B sites to build contact databases for sales/marketing.
Aggregation: Pull data from multiple sources into a single platform (e.g., travel deals, news feeds).
Machine Learning: Extract training datasets to power AI models.
Custom Analysis: Apply filters/sorts to any website’s data for tailored insights.