For a list of accommodations in Go To Travel
https://goto.jata-net.or.jp/assets/data/stay.csv
Since there is csv data in, you can get it without scraping
https://developer.mozilla.org/ja/docs/Tools
You can check the request contents on the network monitor
import pandas as pd
df = pd.read_csv("https://goto.jata-net.or.jp/assets/data/stay.csv")
df["Prefectures"].value_counts()
Prefectures | |
---|---|
Tokyo | 2551 |
Nagano Prefecture | 2328 |
Kyoto | 2235 |
Hokkaido | 1965 |
Okinawa Prefecture | 1886 |
Shizuoka Prefecture | 1629 |
Osaka | 1494 |
Kanagawa Prefecture | 1018 |
Yamanashi Prefecture | 956 |
Hyogo prefecture | 904 |
Chiba | 864 |
Niigata Prefecture | 855 |
Aichi prefecture | 833 |
Gunma Prefecture | 806 |
Fukuoka Prefecture | 783 |
Tochigi Prefecture | 715 |
Gifu Prefecture | 661 |
Oita Prefecture | 647 |
Fukushima Prefecture | 631 |
Kagoshima prefecture | 549 |
Kumamoto Prefecture | 537 |
Mie Prefecture | 525 |
Ishikawa Prefecture | 521 |
Wakayama Prefecture | 484 |
Hiroshima Prefecture | 444 |
Yamagata Prefecture | 409 |
Miyagi Prefecture | 407 |
Nagasaki Prefecture | 385 |
Ibaraki Prefecture | 364 |
Fukui prefecture | 352 |
Iwate Prefecture | 335 |
Kagawa Prefecture | 328 |
Okayama Prefecture | 327 |
Saitama | 312 |
Nara Prefecture | 298 |
Ehime Prefecture | 295 |
Shiga Prefecture | 287 |
Toyama Prefecture | 259 |
Shimane Prefecture | 240 |
Kochi Prefecture | 225 |
Tottori prefecture | 221 |
Miyazaki prefecture | 221 |
Aomori Prefecture | 220 |
Akita | 204 |
Yamaguchi Prefecture | 201 |
Tokushima Prefecture | 184 |
Saga Prefecture | 168 |
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