WildberriesParser

WildberriesParser is an application designed specifically for sellers on the popular trading platform Wildberries. It is a tool that helps track the emergence of new negative reviews on products and provides the ability to promptly respond to them. WildberriesParser is a reliable assistant in managing reputation and increasing customer satisfaction levels on the Wildberries platform.

Project Goals:

Increasing customer satisfaction: Providing sellers with the ability to promptly respond to negative reviews helps improve the quality of service and products, thereby increasing customer satisfaction. Brand reputation management: Thanks to prompt monitoring and response to negative reviews, sellers can maintain a positive reputation for their brand on the Wildberries platform. Increasing conversion: Quick response to negative reviews helps prevent customer loss and increase sales conversion.

Tasks Solved:

Tracking negative reviews: The application automatically scans reviews for a seller's products on the Wildberries platform and highlights negative reviews. Seller notification: When a new negative review appears, the application instantly notifies the seller, providing information about it. Reputation monitoring: The application provides statistics on the number of negative reviews, helping the seller assess the overall reputation of their brand on the platform.

Key Features:

Automatic review tracking. Filtering and highlighting of negative reviews. Seller notification of new negative reviews. Provision of brand reputation statistics and analytics.

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Technologies

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Installation

Run the following commands to bootstrap your environment.

For Windows:

git clone https://github.com/rYauheni/wildberries_parser.git

python -m venv venv
venv\Scripts\activate

pip install -r requirements.txt

copy .env.template .env

For Linux:

git clone https://github.com/rYauheni/wildberries_parser.git

python3 -m venv venv
source venv/bin/activate

pip install -r requirements.txt

cp .env.template .env

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QuickStart

1. Determine the value of environment variables in the file .env

2. Run the app:

   for Windows:

   python main.py --ids-file-path <file_path>
   

   for Linux:

   python3 main.py --ids-file-path <file_path>
   

3. Run tests

   python -m unittest discover -s tests -p "test_*.py" -v
   

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Contributing

Bug reports and/or pull requests are welcome

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License

The app is dedicated to the public domain under the CC0 license

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