Scrapy Python Web抓取JSON

2024-05-20 00:38:45 发布

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我正在努力找出如何使用Scrapy Python刮取JSON响应。我能够在同一站点的不同页面上成功地获取JSON。我将感谢任何帮助

我如何在“tournamentGroup”(即id、姓名)以及年份、头衔等中获取值

部分代码:

start_url = 'https://api.wtatennis.com/tennis/tournaments/?page=0&pageSize=100&excludeLevels=ITF&from=2020-09-01&to=2020-09-30'
    
with urllib.request.urlopen(start_url) as start_url:
    json_obj = start_url.read()
    rank_list = json.loads(json_obj)

    for item in rank_list:
        
        rank_data = []
        tourney_id = item['content']['id']
        tourney_year = item['year']
    
        rank_data = [tourney_id, tourney_year]
 
        cur.execute("""insert into wta_rankings(tourney_id, tourney_year) 
                    values(%s, %s)
                    ON CONFLICT DO NOTHING"""
                    ,(rank_data))
        conn.commit()        
    cur.close()

JSON:
{
   "pageInfo":{
      "page":0,
      "numPages":0,
      "pageSize":100,
      "numEntries":10
   },
   "content":[
      {
         "tournamentGroup":{
            "id":2023,
            "name":"Prague 125K",
            "level":"125K",
            "metadata":null
         },
         "year":2020,
         "title":"Prague Open",
         "startDate":"2020-08-29",
         "endDate":"2020-09-06",
         "surface":"Clay",
         "inOutdoor":"O",
         "city":"PRAGUE",
         "country":"Czech Republic",
         "singlesDrawSize":128,
         "doublesDrawSize":32,
         "prizeMoney":3125000,
         "prizeMoneyCurrency":"USD",
         "liveScoringId":"2023"
      },

URL示例:https://api.wtatennis.com/tennis/tournaments/?page=0&pageSize=100&excludeLevels=ITF&from=2020-09-01&to=2020-09-30


Tags: httpsapiidjsonurldatapageitem
1条回答
网友
1楼 · 发布于 2024-05-20 00:38:45

试试这个:

import requests

url = "https://api.wtatennis.com/tennis/tournaments/?page=0&pageSize=100&excludeLevels=ITF&from=2020-09-01&to=2020-09-30"

response = requests.get(url).json()

for item in response["content"]:
    print(f"{item['tournamentGroup']['name']} - {item['year']} - {item['title']}")

这将为您提供(这只是一个示例,您可以获得您想要的任何字段):

Prague 125K - 2020 - Prague Open
US OPEN - 2020 - US Open - New York, United States, NY
WARSAW - 2020 - BNP Paribas Warsaw Open - Warsaw, Poland
ISTANBUL - 2020 - TEB BNP Paribas Tennis Championship Istanbul - Istanbul, Turkey
MADRID - 2020 - Mutua Madrid Open - Madrid, Spain
HIROSHIMA - 2020 - Hana-cupid Japan Women's Open - Hiroshima, Japan
ROME - 2020 - Internazionali BNL d'Italia - Rome, Italy
STRASBOURG - 2020 - Internationaux de Strasbourg - Strasbourg, France
ROLAND GARROS - 2020 - Roland Garros - Paris, France
TASHKENT - 2020 - Tashkent Open - Tashkent, Uzbekistan

如果您难以通过JSON进行“导航”,只需将响应内容复制到联机JSON formatter,单击wrench图标进行修复,然后Format / Beautify

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