Initial Setup:

1. Download this project as a .zip and extract the contents
2. Ensure you have installed Google Chrome (version 97*)
3. Install selenium (use "pip3 install selenium")
4. Fill in the credentials.txt file in the auth folder with your Instagram login information (credentials for an account created for this project can be made available upon request)

*If your version of Google Chrome is 96 or 98, visit https://chromedriver.chromium.org/downloads and replace the executable with the one that is compatible with your version of Chrome

Steps to use:

1. Go into the src folder and call "python CollectData.py <hashtag> <# of pages to parse> <end cursor>" **
2. Check the data folder for the results

**Only the input parameter is required. The default number of pages to parse is 20, and API calls do not require an end cursor to parse recent posts

To analyze the data:

1. Add file "data_thinned.csv" into the top level of the /data/ folder
2. Go into the src folder and call "python Analyze.py"
3. Check the results folder for the results (if you selected to print results)

API format: Get 3 popular posts of with 10 most recent: https://www.instagram.com/explore/tags/?__a=1

Get posts under hashtag :

https://www.instagram.com/graphql/query/?query_id=17875800862117404&variables=%7B%22tag_name%22%3A%22%22%2C%22first%22%3A%7D

Get posts under hashtag after <END_CURSOR>:

https://www.instagram.com/graphql/query/?query_id=17875800862117404&variables=%7B%22tag_name%22%3A%22%22%2C%22first%22%3A%2C%22after%22%3A%22<END_CURSOR>%22%7D

see: https://github.com/InstaPy/instapy-research/blob/master/api/old_api/README.md

To view any actual post: https://www.instagram.com/p/{shortcode} where {shortcode} is located in the node in the list of edges