首页 > 解决方案 > Scrapy Python 网页抓取 JSON

问题描述

我正在努力弄清楚如何使用 Scrapy Python 抓取 JSON 响应。我能够成功地在同一站点的不同页面上抓取 JSON。我将不胜感激任何帮助。

我将如何刮取“tournamentGroup”中的值(即 id、name)以及年份、标题等。

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

标签: pythonjsonwebweb-scrapingscrapy

解决方案


尝试这个:

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']}")

这给了你(它只是一个样本,你可以得到任何你想要的字段):

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

如果您在 JSON 中“导航”有困难,只需将响应内容复制到在线JSON 格式化程序中,单击wrench图标进行修复,然后Format / Beautify.


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