What's included

• Data Sets

  Comprehensive datasets extracted from specified websites or web sources, formatted in a structured manner (e.g., CSV, Excel, or JSON).

• Data Cleaning Report

  A report outlining the steps taken to clean and preprocess the scraped data, including handling missing values, duplicates, and any other data quality issues.

• Codebase and Scripts

  The source code and scripts used for web scraping, along with clear documentation on how to execute them. This ensures transparency and enables reproducibility.

• Documentation

  Detailed documentation describing the web scraping methodology, including the choice of scraping tools, libraries, and any challenges faced during the process.

• Scraping Frequency Plan

  Recommendations for the optimal frequency of data scraping, considering factors such as website policies, data update frequency, and the client's requirements.

• Final Report and Summary

  A comprehensive final report summarizing the key findings, challenges, and recommendations based on the web scraping results.