I will scrape reviews from BestBuy.com. I will also include the .ipynb and .md versions of my work + the following two scatterplots as part of my output.
- scatterplot with length on the x axis, total on the y axis
- scatterplot with length on the x axis, nethelpful on the y axis
My goal is to scrape 1000 reviews that were posted in the reviews page of my assigned item. The format of my output should be a dataframe with the following columns/format:
| variable | description |
|---|---|
| username | the user name of the reviewer |
| review | the review content |
| rating | the rating (out of 5) left by the reviewer |
| helpful | the number of votes received on the review indicating that the review is helpful |
| unhelpful | the number of votes received on the review indicating that the review is unhelpful |
| net | the absolute value of the difference between "helpful" and "unhelpful" votes |
| nethelpful | the difference between "helpful" and "unhelpful" votes |
| total | total number of votes (helpful + unhelpful) received |
| length | length of the review, defined as the number of characters in a review (including whitespace) |
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent