MoMA Artworks Scraper and Dataset Builder is designed to collect and organize data about artworks and artists from the Museum of Modern Art (MoMA). This project gathers essential details about Artworks and Artists. It then saves the collected data in both JSON and CSV formats, making it easy to use for further analysis and research.
Artworks Data
The artworks.json file contains a vast collection of 100,110 artworks from the Museum of Modern Art (MoMA). Each artwork entry is represented as a JSON object with comprehensive details, including the artist's name, title, year, medium, dimensions, publisher, edition, credit, object number, copyright, portfolio, department, and more.
Example
{
"Artist": "Frida Kahlo",
"Title": "My Grandparents, My Parents, and I (Family Tree)",
"Year": "1936",
"ObjectID": 78784,
"Work": "https://www.moma.org/collection/works/78784",
"Thumbnail": "https://www.moma.org/media/W1siZiIsIjQ3N...M2UiXV0.jpg?sha=c411357c15216300",
"Details": {
"Medium": "Oil and tempera on zinc",
"Dimensions": "12 1/8 x 13 5/8\" (30.7 x 34.5 cm)",
"Credit": "Gift of Allan Roos, M. D., and B. Mathieu Roos",
"Object number": "102.1976",
"Copyright": "\u00a9 2023 Banco de M\u00e9xico Diego Rivera Frida Kahlo Museums Trust, Mexico, D.F. / Artists Rights Society (ARS), New York",
"Department": "Painting and Sculpture"
},
"Profile": "https://www.moma.org/artists/2963"
}Artists Data
The artists.json file is a dataset containing information about various artists represented in the Museum of Modern Art. With 27,385 entries, each artist's data is represented as a JSON object, providing details such as the artist's page URL, ID, name, and bio. Additionally, the dataset includes extended details (if available on MoMA's site) about each artist, including an introduction, Wikidata ID, nationality, gender, roles, alternative names, Ulan ID, and more.
Example
{
"page": "https://www.moma.org/artists/2963",
"ID": 2963,
"name": "Frida Kahlo",
"bio": "Mexican, 1907–1954",
"details": {
"Introduction": "Mexican fantasy painter known as much for her turbulent personal life as her fanciful self-portraits. ... Her work received notoriety in the 1970's, becoming popular with feminist art historians and Latin Americans living in the United States.",
"Wikidata": "Q5588",
"Nationality": "Mexican",
"Gender": "Female",
"Roles": "Artist, Painter",
"Names": "Frida Kahlo, Frida Kahlo de Rivera, Frida Rivera, De Rivera Kahlo.. Frida Rivera-Kahlo",
"Ulan": "500030701"
}
}
The primary motivation behind this project is to build an extensive dataset of MoMA's artists and art collection and create an accessible API. As the original API is restricted to MoMA staff and partners, this project seeks to provide a publicly available alternative.
- Uses concurrent/asynchronous programming for faster data collection and processing.
- Gathers Artwork information from more than 100k pages in MoMA's collection.
- Gathers Artist information from more than 27k pages in MoMA's collection.
- Saves and extends the artwork/artists data in JSON format for each page.
- Sorts and converts the collected data to CSV for easier analysis.
Building datasets for both Artists and Artworks requires different scripts. The complete steps are mentioned here.
If you're interested in contributing, you can start by forking the repository. After that, create a separate branch to work on your changes, and once you're done, submit a pull request with your modifications.
Build
- Flask-based API for MoMA Artworks/Artists dataset.
- Automation tools for dataset's monthly checkups and updates.
Add
- In MoMA's original dataset, images are not included, but I'd like to further extend and add images as well. The task is fairly simple, so the changes will be pushed soon.
Improvements
- Fix redundancies in various scripts.
- Strict structure for JSON datasets.
MIT License © Rishi Giri