Please review screenshot-transcribe-ocr.ipynb, which is a similar but different project to the Instagram image analysis described below
Etienne P Jacquot - 06/30/2021
The other night I read the following article https://www.thedp.com/article/2021/03/black-ivy-stories-penn-chemistry-stem
My thought was to scrape each image from this instagram account, run Azure OCR (more info here), and sort posts per ivy school to identify posts specifically about penn. From there we can try the instagram commentGetter containerized web scraper to retrieve comments / engagement on those posts
UPDATE -->> ivy totals based on Azure OCR text extraction of stories:
princeton 93
penn 57
brown 48
columbia 43
cornell 42
harvard 41
dartmouth 21
yale 14
Instagram account: https://www.instagram.com/blackivystories/ @BlackIvyStories
- Posts Extracted w/ Phantom Buster: https://phantombuster.com/automations/instagram/12766/instagram-posts-extractor
- I do not think you can use the Instagram API v2 for tbis timeline extraction as it requires users to accept your app or something? Alternatively you could try and web scrape a profile but that's involved... so we use PhantomBuster because it's a service that is free & easy to use.
- Code to run here: instagram_ocr_azure
- This requires an Azure account. The computer vision endpoint has a free tier at 20 images per minute
More information here for getting started: https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/
- Create the free tier offering!
Navigate to your Computer Vision resource here: https://portal.azure.com/
- For example (you can use key1 or key2):
[ASC-COMPUTERVISION]
key1 = 7cffe7....
endpoint = https://asc-computervision.cognitiveservices.azure.com/
region = eastus
UPDATE FROM NXCOMMJHUB!