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Kemono-Downloader

English | Português

Scraping Images from Kemono Posts

This Python script allows you to download images from Kemono posts, using the BeautifulSoup library to parse the HTML content of the page.

Prerequisites

Make sure you have Python installed on your system. If not, you can download it here.

Dependency Installation

This script requires the following Python libraries:

  • requests
  • BeautifulSoup

You can install these dependencies using the pip package manager. Execute the following command in the terminal:

pip install requests beautifulsoup4

How to Use

  1. Clone this repository or download the main.py script.
  2. Navigate to the directory where the script is located.
  3. Run the script using Python:
python main.py
  1. When running the script, you will be prompted to enter an option to choose the language in which you want to execute the code.
  2. After entering the desired language, the options will be displayed. Simply select the one that best suits your needs.

Explaining the Options

In Kemono, it's common to find two types of posts: posts composed of images and text posts. This script offers the possibility to download both types of posts.

  • To download a post composed of images, choose option number 1.
  • To download a text post, choose option number 2.
  • To download the text content and images from a post, choose option 3.

It's also possible to download all posts from a profile:

  • If you want to download all image posts from a profile, select option number 4.
  • If you prefer to download all text posts from a profile, choose option number 5.

Additionally, it's possible to download all direct messages (DMs) from a profile by selecting option number 6.

Note

  • This script can be used only for educational or research purposes.
  • Make sure not to violate Kemono's terms of service or any copyrights while using this script.

Author

This script was written by [e43b]. If you have any questions or suggestions, feel free to contact me at [https://discord.gg/c6NTpgAzPf].

License

This project is licensed under the MIT License. See the LICENSE file for more details.

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