Data Scrapping
Data scraping, also known as web scraping, is a technique used to automatically collect data from websites or online platforms. Instead of manually copying information, scraping uses bots, scripts, or tools to extract large volumes of structured data quickly and efficiently.
These tools simulate how a human might browse a website but do so at scale, pulling specific content such as product listings, pricing, social media statistics, job postings, news articles, or any visible text or metadata. The scraped data is typically stored in formats like CSV, Excel, or databases for further analysis or use.
Common Uses:
Market Research – Gathering competitor data, pricing trends, or customer reviews.
Lead Generation – Extracting contact details or profiles from directories or social platforms.
- E-commerce – Monitoring competitors’ inventory or prices.
- Real Estate – Collecting property listings from multiple sources.
- News Aggregation – Pulling headlines and articles from various media outlets.
- Social Listening – Tracking mentions, trends, and engagement across social platforms.
Legal & Ethical Note:
Not all websites allow scraping. Many have restrictions outlined in their robots.txt file or terms of service. Scraping data without permission, especially personal or copyrighted data, can lead to legal consequences.
