CygnusX1 1.0.4

A multithreaded tool for searching and downloading images from popular search engines. It is straightforward to set up and run!

🕳️CygnusX1

Code by Trong-Dat Ngo.

Overviews

🕳️CygnusX1 is a multithreaded tool 🛠️, used to search and download images from popular search engines 🔎. It is straightforward to set up and run!

Key features

• 🥰 No knowledge is required to get up and to run.
• 🚀 Download image using customizable number of threads.
• ⛏️Crawl all possible images (search results and recommendations).

Demo

Installation

This repository is tested on Python 3.6+ and PyTorch selenium 3.141.0+, as well as it works fine on macOS, Windows, Linux.

You should setup and run 🕳️CygnusX1 in a virtual environment. If you're unfamiliar with Python virtual environments, check out the user guide here.

First, create a virtual environment with the version of Python you're going to use and activate it. (Can be omitted if you want to set up directly on the OS environment)

source venv/bin/activate

Pip Insstallation

Install 🕳️CygnusX1 by pip:

pip install CygnusX1

Manual Installation

Download 🕳️CygnusX1 from Github:

git clone https://github.com/dat821168/CygnusX1.git

Finally install dependencies in requirements.txt:

pip install -r requirements.txt

Run

Use cygnusx1 command line:

cygnusx1  --keywords "keyword 1, keyword 2" --workers 8 --use_suggestions --headless

Use run.py to start the script:

python run.py  --keywords "keyword 1, keyword 2" --workers 8 --use_suggestions --headless

Argument details:

• --keywords: Indicate the keywords/keyphrases you want to search. For multiple keywords, separate them with commas.
• --out_dir: Path where to save results. Default = './IMAGES'.
• --workers: The maximum number of workers used to crawl image. Default = 2.
• --use_suggestions: Crawl search engine suggestions/recommendations. Default = False.
• --headless: Hide browser during scraping. Default = False.

Future Releases

• Suppor Google search engine.
• Support Bing search engine.
• Support Baidu search engine.

References

• Google Images Download
• Image Downloader