I noticed that many people on Twitter publish when they use the Untappd.com application. This app allows a user to "check-in" when they drink beer. They get badges, they dates and times of their drinking is noted, and many times the geographic location of where they drank is also available.....all with no authentication! Woohoo!
So I wondered if I could patch together some Python to scrape the Untappd.com web site for a given user and then do some analytics on their drinking habits. Stuff like:
- What time of day do they drink most often?
- What day of the week do they drink most often?
- What day of the month do they drink most often?
- Who do they drink with?
- Where do they drink?
- Are they "binge" drinking?
Since this script scrapes the public pages (private Untappd profiles are not scraped) without using the Untappd API and without requiring login, it only has access to the last 25 beers a target has consumed. While this doesn't sound like a lot, we can learn many things from 25 beers. And what if you ran this script every week (or day!)? Could you store all the data about a specific person on a rolling basis? Yup!
Grab the code for this and you should be good (no 3rd party libraries for running).
$ python untapped.py -h
usage: untapped.py [-h] -u USER
Grab Untappd user activity
optional arguments:
-h, --help show this help message and exit
-u USER, --user USER Username to research
$ python untapped.py -u nvrhapy
[ ] USER DATA: Requesting https://untappd.com/user/nvrhapy
Total Beers: 2,263
Total Unique: 1,138
Total Badges: 396
Total Friends: 15
[ ] FRIEND DATA: Requesting https://untappd.com/user/nvrhapy/friends
Account Name
----------------------------------
jv34682 John V.
tommasocamilleri2 Tommaso C.
Joeheredia Joe H.
beerhere89 stephany d.
Jwilson126 Jason W.
fernicus Adam F.
1MattyG Matty G.
traceyann83 Tracey N.
Fatabird Fatima F.
greencape Jay M.
crispix Christina Z.
Redpac Dan S.
pinatax Tall S.
sprout1880 russell u.
1rar3br33d Matt
[ ] BEER CONSUMPTION DATA: Requesting https://untappd.com/user/nvrhapy/beers
[*] Drinking Patterns (Last 25 beers) - Days of Week
Day ( #) : HISTOGRAM
---------------------------------
Mon ( 0) :
Tue ( 0) :
Wed ( 0) :
Thu ( 1) : x
Fri ( 1) : x
Sat (14) : xxxxxxxxxxxxxx
Sun ( 9) : xxxxxxxxx
[*] Drinking Patterns (Last 25 beers) - Hours of Day
Hour ( #) : HISTOGRAM
---------------------------------
06:00 ( 0) :
07:00 ( 0) :
08:00 ( 0) :
09:00 ( 0) :
10:00 ( 1) : x
11:00 ( 1) : x
12:00 ( 0) :
13:00 ( 2) : xx
14:00 ( 0) :
15:00 ( 0) :
16:00 ( 2) : xx
17:00 ( 0) :
18:00 ( 0) :
19:00 ( 2) : xx
20:00 ( 4) : xxxx
21:00 ( 6) : xxxxxx
22:00 ( 3) : xxx
23:00 ( 4) : xxxx
00:00 ( 0) :
01:00 ( 0) :
02:00 ( 0) :
03:00 ( 0) :
04:00 ( 0) :
05:00 ( 0) :
[*] Drinking Patterns (Last 25 beers) - Day of Month
Day (#) : HISTOGRAM
---------------------------------
00 ( 0) :
01 ( 1) : x
02 ( 0) :
03 ( 3) : xxx
04 ( 1) : x
05 ( 0) :
06 ( 0) :
07 ( 0) :
08 ( 1) : x
09 ( 3) : xxx
10 ( 1) : x
11 ( 0) :
12 ( 0) :
13 ( 0) :
14 ( 1) : x
15 ( 3) : xxx
16 ( 2) : xx
17 ( 1) : x
18 ( 2) : xx
19 ( 0) :
20 ( 0) :
21 ( 0) :
22 ( 5) : xxxxx
23 ( 1) : x
24 ( 0) :
25 ( 0) :
26 ( 0) :
27 ( 0) :
28 ( 0) :
29 ( 0) :
30 ( 0) :
31 ( 0) :
[!] *ALERT - Due to drinking 5 beers on day 22, user may be a "Binge Drinker"
[!] Examine the times they drank these beers below. If 5+ drinks in < 2 hours, then binge.
[!] 23:51:43
[!] 21:54:11
[!] 21:31:33
[!] 21:22:04
[!] 20:29:19
[!] * This script does not examine the amount of time between drinks, which is important.
[!] * https://www.niaaa.nih.gov/alcohol-health/overview-alcohol-consumption/moderate-binge-drinking
[ ] VENUE DATA: Requesting https://untappd.com/user/nvrhapy/venues?type=&sort=highest_checkin
Checkins Name, Address
633 shorts house, IL
218 steve and christinas, IL
106 Redpac's Cocktail Lounge and Beer Bar, 2145 calistoga ave New Lenox, IL
57 sprout's brew haus, IL
42 The Beer Dungeon, IL
32 Steger Wildcat Football, IL
31 halsted & joe orr rd, IL
31 One Trick Pony, 17933 Chappel Ave Lansing, IL
29 Peaceful Acres Resort, Larch Rd Ludington, MI
26 Evil Horse Brewing Company, 1336 Main St Crete, IL
24 Lassen's Sports Bar & Grill, 2131 183rd St Homewood, IL
23 Chicagoland Speedway, 500 Speedway Blvd Joliet, IL
20 Flossmoor Station Restaurant & Brewery, 1035 Sterling Ave Flossmoor, IL
19 Smokey Jo's Real Pit BBQ & Old Town Tap, 475 W Burville Rd Crete, IL
18 MountainLoft Resort, 110 Mountainloft Dr Gatlinburg, TN
17 Matts place, IL
17 Steger Baseball (Veterans Park), 3599 Phillips Ave Steger, IL
16 Crown Brewing, 211 S East St Crown Point, IN
16 Road America, N7390 Highway 67 Elkhart Lake, WI
14 Richard D. Irwin Park, IL
13 City of Chicago Heights, IL
13 The Open Bottle, 7101 183rd St Ste 105 Tinley Park, IL
13 Rock Bottom Restaurant & Brewery, 16156 S La Grange Rd Orland Park, IL
12 Prairie State College, 202 S Halsted St Chicago Heights, IL
12 Eastview School,
- Triangulate where the person lives by using the places they most frequent and some fancy geolocation
- Webify this so that it looks better and easy to access
- See if I can get more than just the last 25 beers somehow (aside from API use)
- Use an internal DB (sqlite?) to track users over time