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-0.11.1.tar.gz (299.0 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-0.11.1-py3-none-any.whl (34.8 kB view details)

Uploaded Python 3

File details

Details for the file untappd_scraper-0.11.1.tar.gz.

File metadata

  • Download URL: untappd_scraper-0.11.1.tar.gz
  • Upload date:
  • Size: 299.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.6.16

File hashes

Hashes for untappd_scraper-0.11.1.tar.gz
Algorithm Hash digest
SHA256 86a36dab8080ab1e5b75ef6a3ce961d58795126d2b62ff72c7ba51f6efbbd094
MD5 0e82f8e32063e42eb24043c016d81c2f
BLAKE2b-256 8de1852240a51db1c5d0dcd95e88f84014de230784f4186bdb1f78e8bece0f2d

See more details on using hashes here.

File details

Details for the file untappd_scraper-0.11.1-py3-none-any.whl.

File metadata

File hashes

Hashes for untappd_scraper-0.11.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fd552f887fd0c1f288ef2ebe917af011c633ec5542367419f8417fba32c3a204
MD5 0331631c5e01a0609c7fe2e2f32c43b6
BLAKE2b-256 38db18cc41194727532551ff2fc2ae0c174aaa8b37032d0cff1d91c4fd5b1355

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