This link may be useful especially if you use R.

https://www.earthdatascience.org/courses/earth-analytics/get-data-using-apis/use-twitter-api-r/

There is another tutorial link I found to useful for twitter data analysis

Web scraping tutorial in R. A short tutorial on how to create a… | by José Roberto Ayala Solares | Towards Data Science

https://towardsdatascience.com/web-scraping-tutorial-in-r-5e71fd107f32

Scraping Twitter data and analyzing it can help get access to valuable insights that can enhance your marketing strategy.

FollowersAnalysis, (https://www.followersanalysis.com/) an amazing Twitter analytics tool that can help you extract tweets related to any @username or targeted keywords.

Scrape more than past 3200 tweets of your brand’s Twitter profile, competitors, influencer marketing candidates, etc. FollowersAnalysis doesn’t just give you access to Twitter data you also get access to analytical insights and predictive analytics.

FollowersAnalysis can also help you analyze your Twitter followers. Similar to tweet analysis, you get various analytical insights about your followers. You can extract entire lists of Twitter followers and follows in an Excel/CSV file. Identify influencers, most engaging followers, identify the target audience, find inactive followers, and more

Key features of FollowersAnalysis

· Scrape Twitter data

· Perform tweet analysis

· Analyze Twitter followers and extract data

· Identify influencers

· Identify the most popular tweets and most engaging followers

Hi there. Chorus Analytics (http://chorusanalytics.co.uk/) is a pretty simple and free tool that can do this kind of thing, as well as look at term associations and more qualitative stuff. You can only scrape back as far as 1 week for key terms and hashtags but you update datasets (so keep building up week by week) and you can collect most of @username data too, if looking at specific accounts etc. I hope this helps :-)