I find it astonishing that it's only 13 bucks for a movie ticket over there (around 11 euros). Here in Finland tickets can easily cost over 20e if you see a movie on the weekend.
Python is the only supported language right now. Scrapy is an awesome project, but we have a very different approach. We strive to be Flask instead of Django.
If you want to, you can use ReadyPipe entirely in the browser through jupyter notebooks instead of needing to setup a local environment. This is especially helpful with more complicated systems using Selenium and Puppeteer. We discuss a lot more of the features that differentiate us on our homepage: https://readypipe.com/ and the docs https://docs.readypipe.io/
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Possible we didn't catch everything, but in aggregate it should be a reasonable estimation.
I've done the SF/NYC/Miami circuit, completely skipping the heartland like everyone else, and these ticket prices are baked into my budget.
Oh you want 3D/Special Sound System/random perk? Prepare for $22 and I'm okay with that
For the actual residents of these cities, there isn't often a place for you to watch something you chose to see in a loud usually spacious environment. These are still undervalued entertainment experiences, amongst the sea of entertainment choices, for actual city residents.
I wonder what the industry's own pricing models show
And some scrape so aggressively that it's like being DDOS'd.
Do people actually care about lengthy tos?
"Oh I'm not supposed to do that" hits enter
OkCupid threatened as such when researchers published scraped data: https://www.vox.com/2016/5/12/11666116/70000-okcupid-users-d...
I mean I'm already using the app to spend money, why not offer me a good experience instead of bombarding me with crappy ads?
If one was to take on Fandango would you have to take over their contract with the movie theaters or could I be a competitor to Fandango?
Having looked at the code in regards to only using zip codes that end in 1 in order to eliminate overlapping neighborhoods, it seems like you missed some.
Why not grab all of them and clean the data? Maybe it is too intensive, but insisting you have "all of Fandango's movie listings" is actually false.
On the other hand, your data just seems to follow https://xkcd.com/1138/ - What happens to the prices if you adjust for cost of living index? What about if you adjust just for population? It looks to me just like a Cost-of-Living heatmap.
So 35 cities?
Interesting read none the less. Good to see independent theaters are still doing well.
Long story short, didn’t want to go to that process for too many more cities haha.
For instance, the largest city in Wyoming is Cheyenne and it's only 95K...
HN specifically discourages clickbaity titles. (in this case, your title "I scraped all of Fandango's movie listings, here's what I found" is also misleading; you didn't scrape all the listings)