[PYTHON] Scraping Go To Travel Accommodation
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
Development tools
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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