Artnet Artist Scraper

This is a scraper built in Python. The script creates a list of all artists (including design/furniture companies) that have had works offered for sale (mainly auctions/galleries), as recorded by artnet. It creates a DataFrame for all artists recorded on artnet (approximately 400k), further splitting data into the artist’s country of origin and active years.

Set Up

1. Clone the project using:

git clone https://github.com/kevinbennet/artnet-artist-scraper.git

1. Set up a virtual environment (Optional):

python -m venv venv

1. Activate the virtual environment (Optional):

• Windows: venv\Scripts\activate
• Linux/Mac: source venv/bin/activate

1. Install required packages:

cd artnet-artist-scraper
pip install -r requirements.txt

Usage

To run scrape:

python artnet_scraper.py

This will create both a csv and pickle file in the fork directory.

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.