
# TIFF-2019

Movie_Grabber.py extracts film information from https://2019.tiffr.com using `bs4` to build the variables 'Title', 'Director', 'Category', 'Link', and the metric 'Heart' to gauge the popularity of the title. A comma separated file 'movies.csv' is exported which can then be explored in any spreadsheet software.

'Text_Notification.py' takes a list of films and sends a text message using `twilio` when tickets become available for the title.

### Spreadsheet Sample

{/* <div style={{'text-align': 'center'}}> */}
<div>
	![Top 20 Films](/images/tiff-scraper/table_screenshot.png)
</div>
{/* <div style={{margin: '0rem 2.5rem'}}>
	<Image
		src={ '/images/tiff-scraper/table_screenshot.png' }
		alt='app'


	/>
</div> */}

Without this application, I would not have bought tickets for Jojo Rabbit, Knives Out, Parasite or The Lighthouse, which turned out to be great films at the festival.

Kyle Rozic

TIFF Data Scraping with Organization in Excel

2019-09-07

TIFF-2019

Spreadsheet Sample