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Centre for Interdisciplinary Methodologies

Proposal Form- Dieter iOS Store Crawler

Proposal form

Last updated: 18th July 2018

Updates
Project name

iOS Web Store Crawler

Date started

18th July 2018

Criteria

Create a flask application which can take a series of iOS web store URLs and then crawl the recomendation network.

Terms (variables)

Query Recomendation

Proposal
  • Write Python code which can crawl the iOS web store
  • Deploy the code on a Jupyter notebook for demo purposes
  • Write a flask front end to the script for general use. App will be widely used in by students and staff of other institutions.
Timeline
  1. Python functions to crawl the iOS app store within a week of the proposal
  2. A jupyter notebook example within two weeks
  3. Write front end using the flask framework
  4. Host on the ITS instance which is currently running flask
Type

Software

Languages

Python - Flask, base libraries HTML, CSS + JS

Input

Text entry - URLs from the iOS app store
Depth parameter - The crawler depth data

Output

CSV file - table containing the seed, depth, recomendation title, recomendation category, recomendation link
gdf file - network of the apps and recomendations