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Play Store Comment Analysis

Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.

Contents

Description

This repository contains Python scripts that scrape and extract data from the Play Store to generate detailed PDF reports with analysis.

Features

  • Scape Coments from Play Store.
  • Generate a PDF file with the extracted information and various analyses.
  • Generate Excel and CSV files to store the data.
  • Can use pretrained AI models for sentiment analysis.

Installation

  1. Clone this repository:

    git clone https://github.com/rmp2000/Comment_Insights.git

  2. Create a virtual environment and activate it:

    cd Comment_insights
python -m venv venv
source venv/bin/activate # For Windows: venv\Scripts\activate

  3. Install the dependencies:

    pip install -r requirements.txt

How to Use

To execute the main script, use the following arguments:

  • url: URL of the game or application on the Play Store
  • device: Type of device to fetch comments from; can be "phone," "tablet," or "chromebook"
  • type: Type of comment retrieval; use "relevant" for the most relevant comments or "newest" for comments in the order they were posted
  • sentiment: Boolean (False/True) for sentiment analysis using a pre-trained AI model (Note: enabling this may slow down execution)
  • iteration: Number of iterations to collect comments, roughly 33 iterations fetch about 1000 comments
python main.py url=<game_or_app_URL> device=<device_type> type=<comment_type> sentiment=<False/True> iteration=<number_of_iterations>

Real example

url=https://play.google.com/store/apps/details?id=com.brotato.shooting.survivors.games.paid.android&hl=en_419&gl=US

python main.py url=url device="phone" type="relevant" sentiment=False iteration=30

This will generate an Excel file and a CSV file in their respective folders, as well as the following PDF:

exampleexample2example3

Contribute

If you wish to contribute to this project, we welcome collaborations!

About

Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.

Resources

Readme
Activity

Stars

1 star

Watchers

1 watching

Forks

0 forks
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Play Store Comment Analysis
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Contents
Description
This repository contains Python scripts that scrape and extract data from the Play Store to generate detailed PDF reports with analysis.
Features
  • Scape Coments from Play Store.
  • Generate a PDF file with the extracted information and various analyses.
  • Generate Excel and CSV files to store the data.
  • Can use pretrained AI models for sentiment analysis.
Installation
  1. Clone this repository:
    git clone https://github.com/rmp2000/Comment_Insights.git
  2. Create a virtual environment and activate it:
    cd Comment_insights
python -m venv venv
source venv/bin/activate # For Windows: venv\Scripts\activate
  3. Install the dependencies:
    pip install -r requirements.txt
How to Use
To execute the main script, use the following arguments:
  • url: URL of the game or application on the Play Store
  • device: Type of device to fetch comments from; can be "phone," "tablet," or "chromebook"
  • type: Type of comment retrieval; use "relevant" for the most relevant comments or "newest" for comments in the order they were posted
  • sentiment: Boolean (False/True) for sentiment analysis using a pre-trained AI model (Note: enabling this may slow down execution)
  • iteration: Number of iterations to collect comments, roughly 33 iterations fetch about 1000 comments
python main.py url=<game_or_app_URL> device=<device_type> type=<comment_type> sentiment=<False/True> iteration=<number_of_iterations>
Real example
url=https://play.google.com/store/apps/details?id=com.brotato.shooting.survivors.games.paid.android&hl=en_419&gl=US
python main.py url=url device="phone" type="relevant" sentiment=False iteration=30
This will generate an Excel file and a CSV file in their respective folders, as well as the following PDF:
exampleexample2example3
Contribute
If you wish to contribute to this project, we welcome collaborations!
About
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
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, 'i');
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try {
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var __re = new RegExp('^' + ".*" + '

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Play Store Comment Analysis
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Contents
Description
This repository contains Python scripts that scrape and extract data from the Play Store to generate detailed PDF reports with analysis.
Features
  • Scape Coments from Play Store.
  • Generate a PDF file with the extracted information and various analyses.
  • Generate Excel and CSV files to store the data.
  • Can use pretrained AI models for sentiment analysis.
Installation
  1. Clone this repository:
    git clone https://github.com/rmp2000/Comment_Insights.git
  2. Create a virtual environment and activate it:
    cd Comment_insights
python -m venv venv
source venv/bin/activate # For Windows: venv\Scripts\activate
  3. Install the dependencies:
    pip install -r requirements.txt
How to Use
To execute the main script, use the following arguments:
  • url: URL of the game or application on the Play Store
  • device: Type of device to fetch comments from; can be "phone," "tablet," or "chromebook"
  • type: Type of comment retrieval; use "relevant" for the most relevant comments or "newest" for comments in the order they were posted
  • sentiment: Boolean (False/True) for sentiment analysis using a pre-trained AI model (Note: enabling this may slow down execution)
  • iteration: Number of iterations to collect comments, roughly 33 iterations fetch about 1000 comments
python main.py url=<game_or_app_URL> device=<device_type> type=<comment_type> sentiment=<False/True> iteration=<number_of_iterations>
Real example
url=https://play.google.com/store/apps/details?id=com.brotato.shooting.survivors.games.paid.android&hl=en_419&gl=US
python main.py url=url device="phone" type="relevant" sentiment=False iteration=30
This will generate an Excel file and a CSV file in their respective folders, as well as the following PDF:
exampleexample2example3
Contribute
If you wish to contribute to this project, we welcome collaborations!
About
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
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Packages
Contributors
Languages

, 'i');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Play Store Comment Analysis
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Contents
Description
This repository contains Python scripts that scrape and extract data from the Play Store to generate detailed PDF reports with analysis.
Features
  • Scape Coments from Play Store.
  • Generate a PDF file with the extracted information and various analyses.
  • Generate Excel and CSV files to store the data.
  • Can use pretrained AI models for sentiment analysis.
Installation
  1. Clone this repository:
    git clone https://github.com/rmp2000/Comment_Insights.git
  2. Create a virtual environment and activate it:
    cd Comment_insights
python -m venv venv
source venv/bin/activate # For Windows: venv\Scripts\activate
  3. Install the dependencies:
    pip install -r requirements.txt
How to Use
To execute the main script, use the following arguments:
  • url: URL of the game or application on the Play Store
  • device: Type of device to fetch comments from; can be "phone," "tablet," or "chromebook"
  • type: Type of comment retrieval; use "relevant" for the most relevant comments or "newest" for comments in the order they were posted
  • sentiment: Boolean (False/True) for sentiment analysis using a pre-trained AI model (Note: enabling this may slow down execution)
  • iteration: Number of iterations to collect comments, roughly 33 iterations fetch about 1000 comments
python main.py url=<game_or_app_URL> device=<device_type> type=<comment_type> sentiment=<False/True> iteration=<number_of_iterations>
Real example
url=https://play.google.com/store/apps/details?id=com.brotato.shooting.survivors.games.paid.android&hl=en_419&gl=US
python main.py url=url device="phone" type="relevant" sentiment=False iteration=30
This will generate an Excel file and a CSV file in their respective folders, as well as the following PDF:
exampleexample2example3
Contribute
If you wish to contribute to this project, we welcome collaborations!
About
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
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, 'i');
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})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Play Store Comment Analysis
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Contents
Description
This repository contains Python scripts that scrape and extract data from the Play Store to generate detailed PDF reports with analysis.
Features
  • Scape Coments from Play Store.
  • Generate a PDF file with the extracted information and various analyses.
  • Generate Excel and CSV files to store the data.
  • Can use pretrained AI models for sentiment analysis.
Installation
  1. Clone this repository:
    git clone https://github.com/rmp2000/Comment_Insights.git
  2. Create a virtual environment and activate it:
    cd Comment_insights
python -m venv venv
source venv/bin/activate # For Windows: venv\Scripts\activate
  3. Install the dependencies:
    pip install -r requirements.txt
How to Use
To execute the main script, use the following arguments:
  • url: URL of the game or application on the Play Store
  • device: Type of device to fetch comments from; can be "phone," "tablet," or "chromebook"
  • type: Type of comment retrieval; use "relevant" for the most relevant comments or "newest" for comments in the order they were posted
  • sentiment: Boolean (False/True) for sentiment analysis using a pre-trained AI model (Note: enabling this may slow down execution)
  • iteration: Number of iterations to collect comments, roughly 33 iterations fetch about 1000 comments
python main.py url=<game_or_app_URL> device=<device_type> type=<comment_type> sentiment=<False/True> iteration=<number_of_iterations>
Real example
url=https://play.google.com/store/apps/details?id=com.brotato.shooting.survivors.games.paid.android&hl=en_419&gl=US
python main.py url=url device="phone" type="relevant" sentiment=False iteration=30
This will generate an Excel file and a CSV file in their respective folders, as well as the following PDF:
exampleexample2example3
Contribute
If you wish to contribute to this project, we welcome collaborations!
About
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
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Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Play Store Comment Analysis
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Contents
Description
This repository contains Python scripts that scrape and extract data from the Play Store to generate detailed PDF reports with analysis.
Features
  • Scape Coments from Play Store.
  • Generate a PDF file with the extracted information and various analyses.
  • Generate Excel and CSV files to store the data.
  • Can use pretrained AI models for sentiment analysis.
Installation
  1. Clone this repository:
    git clone https://github.com/rmp2000/Comment_Insights.git
  2. Create a virtual environment and activate it:
    cd Comment_insights
python -m venv venv
source venv/bin/activate # For Windows: venv\Scripts\activate
  3. Install the dependencies:
    pip install -r requirements.txt
How to Use
To execute the main script, use the following arguments:
  • url: URL of the game or application on the Play Store
  • device: Type of device to fetch comments from; can be "phone," "tablet," or "chromebook"
  • type: Type of comment retrieval; use "relevant" for the most relevant comments or "newest" for comments in the order they were posted
  • sentiment: Boolean (False/True) for sentiment analysis using a pre-trained AI model (Note: enabling this may slow down execution)
  • iteration: Number of iterations to collect comments, roughly 33 iterations fetch about 1000 comments
python main.py url=<game_or_app_URL> device=<device_type> type=<comment_type> sentiment=<False/True> iteration=<number_of_iterations>
Real example
url=https://play.google.com/store/apps/details?id=com.brotato.shooting.survivors.games.paid.android&hl=en_419&gl=US
python main.py url=url device="phone" type="relevant" sentiment=False iteration=30
This will generate an Excel file and a CSV file in their respective folders, as well as the following PDF:
exampleexample2example3
Contribute
If you wish to contribute to this project, we welcome collaborations!
About
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
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Packages
Contributors
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, 'i');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Play Store Comment Analysis
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Contents
Description
This repository contains Python scripts that scrape and extract data from the Play Store to generate detailed PDF reports with analysis.
Features
  • Scape Coments from Play Store.
  • Generate a PDF file with the extracted information and various analyses.
  • Generate Excel and CSV files to store the data.
  • Can use pretrained AI models for sentiment analysis.
Installation
  1. Clone this repository:
    git clone https://github.com/rmp2000/Comment_Insights.git
  2. Create a virtual environment and activate it:
    cd Comment_insights
python -m venv venv
source venv/bin/activate # For Windows: venv\Scripts\activate
  3. Install the dependencies:
    pip install -r requirements.txt
How to Use
To execute the main script, use the following arguments:
  • url: URL of the game or application on the Play Store
  • device: Type of device to fetch comments from; can be "phone," "tablet," or "chromebook"
  • type: Type of comment retrieval; use "relevant" for the most relevant comments or "newest" for comments in the order they were posted
  • sentiment: Boolean (False/True) for sentiment analysis using a pre-trained AI model (Note: enabling this may slow down execution)
  • iteration: Number of iterations to collect comments, roughly 33 iterations fetch about 1000 comments
python main.py url=<game_or_app_URL> device=<device_type> type=<comment_type> sentiment=<False/True> iteration=<number_of_iterations>
Real example
url=https://play.google.com/store/apps/details?id=com.brotato.shooting.survivors.games.paid.android&hl=en_419&gl=US
python main.py url=url device="phone" type="relevant" sentiment=False iteration=30
This will generate an Excel file and a CSV file in their respective folders, as well as the following PDF:
exampleexample2example3
Contribute
If you wish to contribute to this project, we welcome collaborations!
About
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
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Packages
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
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console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Play Store Comment Analysis
Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
Contents
Description
This repository contains Python scripts that scrape and extract data from the Play Store to generate detailed PDF reports with analysis.
Features
  • Scape Coments from Play Store.
  • Generate a PDF file with the extracted information and various analyses.
  • Generate Excel and CSV files to store the data.
  • Can use pretrained AI models for sentiment analysis.
Installation
  1. Clone this repository:
    git clone https://github.com/rmp2000/Comment_Insights.git
  2. Create a virtual environment and activate it:
    cd Comment_insights
python -m venv venv
source venv/bin/activate # For Windows: venv\Scripts\activate
  3. Install the dependencies:
    pip install -r requirements.txt
How to Use
To execute the main script, use the following arguments:
  • url: URL of the game or application on the Play Store
  • device: Type of device to fetch comments from; can be "phone," "tablet," or "chromebook"
  • type: Type of comment retrieval; use "relevant" for the most relevant comments or "newest" for comments in the order they were posted
  • sentiment: Boolean (False/True) for sentiment analysis using a pre-trained AI model (Note: enabling this may slow down execution)
  • iteration: Number of iterations to collect comments, roughly 33 iterations fetch about 1000 comments
python main.py url=<game_or_app_URL> device=<device_type> type=<comment_type> sentiment=<False/True> iteration=<number_of_iterations>
Real example
url=https://play.google.com/store/apps/details?id=com.brotato.shooting.survivors.games.paid.android&hl=en_419&gl=US
python main.py url=url device="phone" type="relevant" sentiment=False iteration=30
This will generate an Excel file and a CSV file in their respective folders, as well as the following PDF:
exampleexample2example3
Contribute
If you wish to contribute to this project, we welcome collaborations!
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Python tool for analyzing comments and creating detailed PDF reports and Excel and CSV files.
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