Data aggregation via Web Scraping
Simplify extraction, automate process and empower business with easy access!
Web scraping services is a powerful technique for gathering data and storing them in a database or source system for future use. ETL stands for Extract Transform Load, is process of fetching data from multiple heterogeneous data repositories, transforming it into more structured and normalized dataset and loading it in a single data store. Web scraping is a powerful data extraction mechanism that will accelerate your data journey to annotate them for better grouping, build a cognitive intelligence layer on top of it using AI & ML and leverage data visualization tools for better insights.
How it works? – 3 Stage Model
Initially our BI analyst team will get the source applications from which data needs to be extracted or scraped. Web scraping will be done to scrape and transfer data from a website to a new datastore. The data fetched from multiple source system may be structured or unstructured data. Then the extracted data will be cleaned up and validated before loading it into a common database. The process flow involves three main steps: