This is a final project for a Computer Science degree. It's a monitoring system for Instagram whose purpose is to scrape Instagram posts of public celebrities, or associated to a hashtag, with their comments.
This project needs a running MongoDB database where to save data, uses the library instagram_private_api, and has other dependencies, please inspect setup.py until this project is properly packaged.
$ python -m instagram_monitor --help, -h Show this help message and exit
--queries QUERIES Path to a file containing users and hashtags to scrape (default: queries.txt)
--login_user LOGIN_USER Instagram login user (default: None)
--login_pass LOGIN_PASS Instagram login password (default: None)
--host HOST Address of MongoDB service (default: localhost)
--port PORT Port of MongoDB service (default: 27017)
--post_db POST_DB Post database name of MongoDB service (default: post)
--comments_db COMMENTS_DB Comment database name of MongoDB service (default: comment)
--rich Comments have more information (default: False)
--update_days UPDATE_DAYS Amount of days old a post must be, to not try to search for new comments (default: 2)
--loop, -l Search and update periodically (default: False)
--wait_time WAIT_TIME Hours to wait between iterations of the loop (default: 2)
--search, -s Search new posts from queries (default: False)
--update, -u Update posts from queries (default: False)
--export_comments, -c Export post texts to a file. (default: False)
--export_graphs, -g Export mentions graph to a file. (default: False)
--export_info, -i Export general information of the collections to a file. (default: False)
--quiet, -q No logging info (default: False)
--verbose VERBOSE Logging verbosity level.Options: DEBUG INFO WARNING ERROR CRITICAL (default: INFO)