Autocomplete Archive
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 will build an archive of daily Google Autocomplete predictions, for multiple countries and products — web, Google Images, Youtube, etc. Users can have access to this information both through a physical and a digital output. The former will be a collection of printed books using curated subsets of this data — predictions by country, letter, day, service, etc. The latter will be a web app that allows for multiple ways to retrieve, sort, and filter the database.
This is the main repo for this project and includes the script that it's actually querying and saving the Autocomplete predictions. Other components of this project are listed below.
- Search Interface: building a way to query and display information from the archive.
Previous projects include:
Previous projects documented here.
To do
- Develop access (API) to the data
- Create scraper to return search results