Designing a Twitter Data Extractor Tool Using Python — Part 2 (Models)

User and Tweet models

Photo by Alexander Shatov on Unsplash

In the previous post, I mentioned the general structure of the call mechanism. In this post, I will show the main data holder classes.

There are two classes implemented as dataclass which are Userand Tweet.

User

Fields to extract for user data

• User ID
• Username
• Name
• Account creation date
• Bio
• URLs, Hashtags, Mentions
• Location
• Pinned Tweet ID
• Pinned Tweet
• Profile image URL
• Account protected flag
• Public metrics (followers/following/tweet/listed counts)
• External URL
• Verified flag

A data dictionary is prepared in the __post_init__ method for reporters to use later.