What's included

• Scraped Data Sets:

  Provide the client with organized datasets containing the specific information extracted from the targeted websites. These datasets could be in various formats such as CSV, Excel,Google Sheet, or JSON.

• Data Cleaning and Preprocessing

  Ensure that the scraped data is cleaned and preprocessed to remove any inconsistencies or irrelevant information. This may involve handling missing values, duplicates, or formatting issues.

• Code Repository (optional)

  Share the source code used for the web scraping project. This includes any scripts, programs, or tools developed to extract and process the data. Hosting it on a version control system like GitHub adds transparency and facilitates future collaboration.

• Data Update Mechanism

  If applicable, implement a mechanism for periodic data updates. This ensures that the client can access fresh and relevant information over time without needing to repeat the entire scraping process