🛍️📊 Simplify Amazon product review extraction with this Python script. By utilizing the requests, pandas, bs4, and lxml modules, the script effortlessly retrieves and parses HTML content from review pages.
The exported data follows this format:
| Name | Stars | Title | Date | Description |
|---|---|---|---|---|
| Jeff | 4.0 | Rugged, good look and nice fit | 02/10/2018 | The short answer to if you should go down from... |
| M. Burke | 5.0 | My Favorite Jacket | 19/04/2023 | I went through the most recent winter with thi... |
| Jake | 4.0 | Decent shirt jacket | 27/04/2023 | I’ve been wearing this regularly for about an m... |
| joe j | 4.0 | Not bad. It's a good light... | 05/04/2023 | It's not really a jacket and not really a overs... |
| Jorge Risco | 5.0 | Muy buen material, abriga... | 24/05/2023 | Muy buen material, para mi que vivo en el sur . |
| ... |
- Python 3.9
- requests 2.31.0
- pandas 1.2.0
- bs4 0.0.1
- lxml 4.9.2
Before running the Funda Scraper, ensure that you have Python 3.9.7 installed on your system. To check the Python version, open a terminal (or command prompt) and enter the following command:
python --versionIf Python 3.9.7 is not installed, you can download it from the official Python website: Python Downloads
Make sure to add Python to your system's PATH variable during the installation. Here's a helpful image to guide you:
- Clone the repository:
git clone https://github.com/kawsarlog/amazon-reviews-extraction.git - Navigate to the project directory:
cd amazon-reviews-extraction - Install the required dependencies:
pip install -r requirements.txt
-
Modify the script to specify the Amazon product URL and desired parameters.
-
Run the script by executing the following command:
python amazon_reviews_extraction.py -
The extracted reviews will be saved in a CSV file.
For a detailed tutorial on how to use this script, please refer to the Amazon Reviews Extraction Tutorial.
For any questions or feedback, feel free to reach out:
- Email: kawsar@kawsarlog.com
- Website: kawsarlog.com
Note: This script should be used responsibly and in compliance with Amazon's Terms of Service. The script is for educational purposes only.