Data Scrapping
Mention any website link.
php, phyton, laravel.
facebook, instagram, Twiter, linkdlin, E-commerce site, Any website.
Creative lead, Project Director, Project Manager, Front-end Dev.
Data scraping, also known as web scraping, is the process of importing information from a website into a spreadsheet or local file saved on your computer. It’s one of the most efficient ways to get data from the web, and in some cases to channel that data to another website. Popular uses of data scraping include.
Research for web content/business intelligence
Finding sales leads/conducting market research by crawling public data sources (e.g. Yell and Twitter)
Sending product data from an e-commerce site to another online vendor (e.g. Google Shopping)
Web Pages Expoter too.
Scraper is a data extraction that lets you scrape any HTML web page. You can extract tables and lists from any page and upload them to Google Sheets or Microsoft Excel. With Scraper you can export web pages into XLS, CSV, XLSX or TSV files (.xls .csv .xlsx .tsv)
Scraped data from social media
Data scraped from social media, is undoubtedly the largest and most dynamic dataset about human behavior. It brings social scientists and business experts brand new opportunities to understand individuals, groups and society, as well as exploring the great wealth hidden in the data..
Target market segmentation.
A target market is a group of customers (individuals, households or organizations), for which an organization designs, implements and maintains a marketing mix suitable for the needs and preferences of that group," as defined on Wikipedia. Obtaining and analyzing social media dataset enable you to know to whom and when to market your products or services. Identifying more targeted markets helps you maximize your marketing Return on Investment.