Parser written for gathering data from Untappd, it contain methods to get information from any part of the website. With help of it dataset of 75 thousands chek-ins was gathered, which you can see and use. Hosted on Kaggle.
Instrument to conduct analysis of customers preferences in determined area. Can help get statistical data on beer type, form of serving, price, avaliability, consumption geodata, etc.
You need Google Chrome installed on your machine, then selenium can atomatically get compatible headless version of it. Everything else contained in requirements.txt.
Logging in via Faceboo; can be used to collect every data from pre-created list of venues on Untappd, or can work with lists of links to be parsed; can output gathered data to .csv file or store it in pandas.DataFrame; support tqdm progress bar; contains uniform api that can be used directly from console.
At first you should create instance of SeleniumWebDriver via DriverSetup:
drv = DriverSetup(headless=False).selenium_driver
Then you need to login, it contains two steps: logging in into Facebook and then loogin in into Untapped via Facebook. That can do LoginProcess:
LoginProcess(drv, 'source', 'log_pass_dummy').log_in()
And finally you can start collecting data, for example, if you want to get menu of some venue. Create list of links of bars, menus of which to be parsed:
bars_to_get_menu = ['https://untappd.com/v/redrum-bar/2498830', 'https://untappd.com/v/socle-craft-bar/8750585']
Then you can create instance of BarsMenu that contains methods to get data as well as to store it:
bars_menu = BarsMenu(drv, bars_to_get_menu, to_df=True, to_csv=True)
to_df - optional argument to store gathered data as pandas.DataFrame
to_csv - optional argument to export collected data to .csv file
And finally, you can call built-in method .parse_bars_menu and start getting data:
bars_menu.parse_bars_menu()
That's it! All other classes have the same interface.