The document discusses data scraping techniques, focusing on web scraping and screen scraping. It explains how data scraping is conducted through scraper bots that retrieve information from websites and outlines different types of scraping and their applications. Additionally, the document touches on methods to prevent scraping and concludes the discussion on data crawling.

1. Presnted by

2. SSM COLLEGE OF ENGINEERING
• DEPARTMENT OF COMPUTER ENGINEERING
•
• Topic:
• Data Scrapping

3. Contents
• Introduction.
• How is data scraping done?
• Types
• Web Scraping.
• Screen scraping.
• Uses.
• How scraping can be stopped.
• Data Crawling
• Conclusion

4. Introduction
• Data Scraping is a
technique in which a
computer program
extracts data from output
generated from another
program.
• It is commonly manifest
in web scraping, where
we extract valuable
information from a
website.

5. How is Data Scraping Done.
• It is fairly a direct process. Code is
utilised to pull information, generally
via a scraper bot. the bot sends a
request to the website, parses the
HTML document and converts it into a
different format

6. Types
• There are two ways by which scraping can
be done
• Web scraping.
• Screen scraping.

7. Web scraping
Web scraping is the process of retrieving or scraping
data from a website.
Web scraping uses intelligent automation to retrieve
hundreds, millions, or even billions of data points
from the internets seemingly endless frontier.

8. Screen Scraping
• Screen scraping is the act of copying
Information that shows on a digital display so
it can be used for another purpose.
• Visual data can be collected as a raw text
from on screen elements such as a text or
images that appear on the desktop, in an
application or on a website.

9. Uses

10. How web scrapping can be
stopped

11. Data Crawling

12. Conclusion