Skip to main content

Scrape various Untappd web pages and return as parsed dataclasses

Project description

Untappd Scraper

Web scrape public Untappd pages into data classes.

Quickstart

User queries

from untappd_scraper.user import User

users = ["gregavola"]

for user_id in users:
    user = User(user_id)
    print(f"\n{user.name=}")

    for checkin in user.activity():
        print(f"\n\t{checkin.name=}\n\t\t{checkin}")

    print("\n\nLists:")

    for userlist in user.lists():
        print(f"\n\t{userlist.name=} {userlist.num_items=}")

    print("\n\nRecent Venues:")

    for venue in user.venue_history():
        ago = datetime.now().date() - venue.last_visit
        print(
            f"\n\t{venue.name=} {venue.last_visit.strftime('%b %d %Y')} "
            + f"({ago.days} days ago)"
        )```

    print("\n\nRecent Uniques:")

    for beer in user.beer_history():
        print(f"\t{beer}, {beer.total_checkins=}")

Venue queries

from untappd_scraper.venue import Venue

venue_ids = [
    14705,  # 4 pines
    99967,  # collaroy
]

for venue_id in venue_ids:
    venue = Venue(venue_id)
    print(f"\n{venue.name=}")

    for num, checkin in enumerate(venue.activity(), start=1):
        print(f"\n\t{num=}\t{checkin.name=}\n\t\t{checkin}")

# Load a venue by name. Try to be as unambiguous as possible
venue = Venue.from_name("hotel sweeney")
print(f"\n{venue.name=} {venue.verified=}\t{venue.categories=}\n")
print("\n".join([str(beer) for beer in venue.activity()]))

for menu in venue.menus():
    print(f"\n{menu.selection=} / {menu.name=}")

    print("\n\t\t", end="")
    print("\n\t\t".join(str(beer) for beer in menu.beers))

Notes

untappd-scraper is just that - a scraper. It doesn't store data. So, for example, if you query a user's unique beer history (with User.beer_history()) you will not be able to see the entire history. Just what is public on the web, which is the most recent 25 uniques.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

untappd_scraper-0.12.11.tar.gz (307.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

untappd_scraper-0.12.11-py3-none-any.whl (35.4 kB view details)

Uploaded Python 3

File details

Details for the file untappd_scraper-0.12.11.tar.gz.

File metadata

  • Download URL: untappd_scraper-0.12.11.tar.gz
  • Upload date:
  • Size: 307.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.3

File hashes

Hashes for untappd_scraper-0.12.11.tar.gz
Algorithm Hash digest
SHA256 b0b9fd548dc9aea7ae14e0ec84749062bd31de3382017e4a3b4de39dd94c8e9f
MD5 6d5130402301b6bba60ed9d79e9acb07
BLAKE2b-256 00fd870494c4aad91c950a66d7ed6cd53e2b93b0f489c48349d6074edd7de219

See more details on using hashes here.

File details

Details for the file untappd_scraper-0.12.11-py3-none-any.whl.

File metadata

File hashes

Hashes for untappd_scraper-0.12.11-py3-none-any.whl
Algorithm Hash digest
SHA256 98edcab23ca1bbcf43f8d382cf92fac22287fd4b14e243e6a1a33ee1a42bb167
MD5 b7abbc4cfec0a2dde55c72e81d33a342
BLAKE2b-256 2a259b7a065d0b0a495cae76890df27a814a3cee6756dccce4970c23c582609a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page