MFA Design and Technology, Parsons The New School for Design
Thesis Studio 2 | Faculty: Sven Travis and Loretta Wolozin
Data Structures | Faculty: Aaron Hill
Spring, 2015
This project is part of the Autocomplete Archive.
This repo contains some helper scripts to preprocess the data.
Some scripts to support the automated generation of prints.
Given a list of words, searches for them on Google Images and grabs the url of the first result. Reads from and save to JSON files. Written in Python, requires the GoogleScraper module.
Downloads a list of images based on a list of urls. Reads the JSON file saved by 01_image_scraper. Written in Node.js.
Some scripts to support the data processing for the final website.
The original data is grouped by letter — the input used to query Google Autocomplete. Each record has a list of 10 predictions. This script splits the lists, creating one record for each prediction. Reads from the MongoDB database autocomplete, collections records, and saves in the database thesis, collection records. Written in Node.js.
Given a list of queries, searches for them and grabs the url of the first result. For videos, the script uses the Youtube API. For images, Bing search. Reads from the MongoDB database thesis, collection records, and saves to the collections images or youtube.
Help double-check and compare data.