Gather data from websites, APIs, or other sources.
Use web scraping to extract information from web pages. Clean and preprocess data to remove noise and irrelevant information.
Transform data into a structured format suitable for analysis.
Analyze data to identify patterns, trends, or anomalies.
Store processed data in databases (SQL, NoSQL) or other formats. Visualize data using charts, graphs, or other visual representations.
Set up automated processes for periodic data extraction and processing.
Ensure data quality through validation and error handling.
Integrate processed data into applications, dashboards, or reports.
Optimize processes for scalability and performance.