You will get structured and analyzed app review data with insights
Project details
You will get a clean and structured dataset of app reviews with sentiment analysis and key insights.
In this project, I extracted and processed user reviews from a mobile application to understand user experience and overall satisfaction. The data was classified into positive and negative sentiment categories based on ratings and text analysis.
Using Python and Pandas, I cleaned and structured the dataset to ensure accuracy and usability. The analysis revealed that most negative feedback was related to login issues, system errors, and usability problems, while positive feedback highlighted helpful features and functionality.
This project demonstrates my ability to transform raw data into meaningful insights that can support decision-making and product improvement.
In this project, I extracted and processed user reviews from a mobile application to understand user experience and overall satisfaction. The data was classified into positive and negative sentiment categories based on ratings and text analysis.
Using Python and Pandas, I cleaned and structured the dataset to ensure accuracy and usability. The analysis revealed that most negative feedback was related to login issues, system errors, and usability problems, while positive feedback highlighted helpful features and functionality.
This project demonstrates my ability to transform raw data into meaningful insights that can support decision-making and product improvement.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$10
|
Standard
$30
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Pages Mined/Scraped | 1 | 3 | 10 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Number of Revisions | 0 | 1 | 2 |
Optional add-ons
You can add these on the next page.
Additional Page Mined/Scraped
(+ 1 Day)
+$10
Additional Source Mined/Scraped
(+ 1 Day)
+$30
Additional Revision
+$40Frequently asked questions
About Wenceslaus
Web Scraping Specialist | Python, Selenium, BeautifulSoup
Malang, Indonesia - 8:03 am local time
I help clients extract, clean, and transform data from various online sources into structured and usable formats. I have experience working with dynamic platforms, automation scripts, and data processing using tools like Selenium and Pandas.
My goal is to deliver accurate, reliable, and well-structured datasets that can be used for analysis, research, or business needs.
I’m detail-oriented, responsive, and committed to providing high-quality results. Feel free to contact me to discuss your project — I’m ready to help 🚀
Steps for completing your project
After purchasing the project, send requirements so Wenceslaus can start the project.
Delivery time starts when Wenceslaus receives requirements from you.
Wenceslaus works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
I will review your requirements, source link, and data fields to ensure everything is clear before starting.
Data Extraction
I will extract the requested data using Python, Selenium, or API depending on the source complexity.