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使用Extruct獲取json-id格式的節點值項

2021-11-25 13:39:14 作業系統

下面的代碼沒有錯誤。但是,它沒有回傳所需的元素。當我遍歷資料項串列時,專案就在那里,但我不明白為什么我的 SportsEvent 回圈要離開 Team 和 homeTeam、Stadium 和 startdate 是空白的。此處的鏈接沒有第二頁,因此您可以洗掉 selenium 和 get_next_page 函式并呼叫(如果您沒有安裝這些來測驗)。

問題出在這一行

if "SportsEvent" in item:

這里整個腳本

import pandas as pd
import extruct as ex
from selenium import webdriver
from selenium.webdriver.chrome.options import Options

urls = [
    'https://www.oddsshark.com/nfl/odds',
    'https://www.oddsshark.com/nba/odds'
]

def get_driver():
    options = Options()
    options.add_argument('--headless')
    driver = webdriver.Chrome(options=options)
    return driver

def get_source(driver, url):
    driver.get(url)
    return driver.page_source

def get_json(source):
    return ex.extract(source, syntaxes=['json-ld'])

def get_next_page(driver, source):
    """IN the event teams are on more than 1 page Parse the page source and
    return the URL for the next page of results.

    :param driver: Selenium webdriver
    :param source: Page source code from Selenium

    :return
        URL of next paginated page
    """

    elements = driver.find_elements_by_xpath('//link[@rel="next"]')
    if elements:
        return driver.find_element_by_xpath('//link[@rel="next"]').get_attribute('href')
    else:
        return ''


df = pd.DataFrame(columns = ['awayTeam', 'homeTeam','location','startDate'])

def save_teams(data, df):
    """Scrape the teams from a schema.org JSON-LD tag and save the contents in
    the df Pandas dataframe.

    :param data: JSON-LD source containing schema.org SportsEvent markup
    :param df: Name of Pandas dataframe to which to append SportsEvent

    :return
        df with teams appended
    """

    for item in data['json-ld']:
        print(item)
        if "SportsEvent" in item: #issue is here it does not see SportsEvent in item so it wont continue doing the inner loops
            for SportsEvent in item['SportsEvent']:
                #print(item['SportsEvent'])

                row = {
                    'awayTeam': SportsEvent.get('awayTeam', {}).get('name'),
                    'homeTeam': SportsEvent.get('homeTeam', {}).get('name'),
                    'location': SportsEvent.get('location', {}).get('name'),
                    'startDate': SportsEvent.get('startDate')
                    
                    
                }
                print(row)
                df = df.append(row, ignore_index=True)

    return df


for url in urls:
    
    print(url)

    # Save the teams from the first page
    driver = get_driver()
    source = get_source(driver, url)
    json = get_json(source)
    df = save_teams(json, df)

    # Get teams on each paginated page if other pages exists
    next_page = get_next_page(driver, source)
    paginated_urls = []
    paginated_urls.append(next_page)

    if paginated_urls:

        for url in paginated_urls:

            if url:

                #print(next_page)
                driver = get_driver()
                source = get_source(driver, url)
                json = get_json(source)
                df = save_teams(json, df)
                next_page = get_next_page(driver, source)
                paginated_urls.append(next_page)

uj5u.com熱心網友回復:

那是因為"SportsEvent"您的item. 它是 key 下的一個值'@type'

使用Extruct獲取json-id格式的節點值項

因此,您需要將save_teams()函式更改為:

def save_teams(data, df):
    """Scrape the teams from a schema.org JSON-LD tag and save the contents in
    the df Pandas dataframe.

    :param data: JSON-LD source containing schema.org SportsEvent markup
    :param df: Name of Pandas dataframe to which to append SportsEvent

    :return
        df with teams appended
    """

    for item in data['json-ld']:
        print(item)
        if "SportsEvent" in item.values(): #issue is here it does not see SportsEvent in item so it wont continue doing the inner loops
                row = {
                    'awayTeam': item.get('awayTeam', {}).get('name'),
                    'homeTeam': item.get('homeTeam', {}).get('name'),
                    'location': item.get('location', {}).get('name'),
                    'startDate': item.get('startDate')
                    
                    
                }
                print(row)
                df = df.append(row, ignore_index=True)

    return df

但看起來您可能會使用 Selenium 使這個問題復雜化。您可以通過使用 BeautifulSoup 簡單地將其拉出,然后將其讀入 json 來獲取該資料。然后讓熊貓把它弄平:

import pandas as pd
import requests
import json
from bs4 import BeautifulSoup

urls = [
    'https://www.oddsshark.com/nfl/odds',
    'https://www.oddsshark.com/nba/odds']

for url in urls:
    response = requests.get(url).text
    soup = BeautifulSoup(response, 'html.parser')
    jsonStr = soup.find('script', {'type':'application/ld json'}).text
    
    jsonData = json.loads(jsonStr)
    df = pd.json_normalize(jsonData)
    
    print(df.to_string())

    # or to get just those columns
    #print(df[['awayTeam.name','homeTeam.name','location.name','startDate']])

輸出:

@type           @context inLanguage                                          name                                                                                  url                  startDate location.@type               location.name location.address.@type location.address.addressLocality awayTeam.@type         awayTeam.name homeTeam.@type             homeTeam.name
0   SportsEvent  http://schema.org      en-US       Tampa Bay Buccaneers vs New York Giants       https://www.oddsshark.com/nfl/new-york-tampa-bay-odds-november-22-2021-1411211  2021-11-22T20:15:00-05:00          Place       Raymond James Stadium          PostalAddress            Raymond James Stadium     SportsTeam       New York Giants     SportsTeam      Tampa Bay Buccaneers
1   SportsEvent  http://schema.org      en-US                Detroit Lions vs Chicago Bears          https://www.oddsshark.com/nfl/chicago-detroit-odds-november-25-2021-1411216  2021-11-25T12:30:00-05:00          Place                  Ford Field          PostalAddress                       Ford Field     SportsTeam         Chicago Bears     SportsTeam             Detroit Lions
2   SportsEvent  http://schema.org      en-US           Dallas Cowboys vs Las Vegas Raiders         https://www.oddsshark.com/nfl/las-vegas-dallas-odds-november-25-2021-1411221  2021-11-25T16:30:00-05:00          Place            AT&T Stadium          PostalAddress                 AT&T Stadium     SportsTeam     Las Vegas Raiders     SportsTeam            Dallas Cowboys
3   SportsEvent  http://schema.org      en-US           New Orleans Saints vs Buffalo Bills      https://www.oddsshark.com/nfl/buffalo-new-orleans-odds-november-25-2021-1411226  2021-11-25T20:20:00-05:00          Place           Caesars Superdome          PostalAddress                Caesars Superdome     SportsTeam         Buffalo Bills     SportsTeam        New Orleans Saints
4   SportsEvent  http://schema.org      en-US               Houston Texans vs New York Jets         https://www.oddsshark.com/nfl/new-york-houston-odds-november-28-2021-1411231  2021-11-28T13:00:00-05:00          Place                 NRG Stadium          PostalAddress                      NRG Stadium     SportsTeam         New York Jets     SportsTeam            Houston Texans
5   SportsEvent  http://schema.org      en-US    Indianapolis Colts vs Tampa Bay Buccaneers   https://www.oddsshark.com/nfl/tampa-bay-indianapolis-odds-november-28-2021-1411236  2021-11-28T13:00:00-05:00          Place           Lucas Oil Stadium          PostalAddress                Lucas Oil Stadium     SportsTeam  Tampa Bay Buccaneers     SportsTeam        Indianapolis Colts
6   SportsEvent  http://schema.org      en-US        New York Giants vs Philadelphia Eagles    https://www.oddsshark.com/nfl/philadelphia-new-york-odds-november-28-2021-1411241  2021-11-28T13:00:00-05:00          Place             MetLife Stadium          PostalAddress                  MetLife Stadium     SportsTeam   Philadelphia Eagles     SportsTeam           New York Giants
7   SportsEvent  http://schema.org      en-US           Miami Dolphins vs Carolina Panthers           https://www.oddsshark.com/nfl/carolina-miami-odds-november-28-2021-1411246  2021-11-28T13:00:00-05:00          Place           Hard Rock Stadium          PostalAddress                Hard Rock Stadium     SportsTeam     Carolina Panthers     SportsTeam            Miami Dolphins
8   SportsEvent  http://schema.org      en-US      New England Patriots vs Tennessee Titans    https://www.oddsshark.com/nfl/tennessee-new-england-odds-november-28-2021-1411251  2021-11-28T13:00:00-05:00          Place            Gillette Stadium          PostalAddress                 Gillette Stadium     SportsTeam      Tennessee Titans     SportsTeam      New England Patriots
9   SportsEvent  http://schema.org      en-US     Cincinnati Bengals vs Pittsburgh Steelers    https://www.oddsshark.com/nfl/pittsburgh-cincinnati-odds-november-28-2021-1411256  2021-11-28T13:00:00-05:00          Place          Paul Brown Stadium          PostalAddress               Paul Brown Stadium     SportsTeam   Pittsburgh Steelers     SportsTeam        Cincinnati Bengals
10  SportsEvent  http://schema.org      en-US       Jacksonville Jaguars vs Atlanta Falcons     https://www.oddsshark.com/nfl/atlanta-jacksonville-odds-november-28-2021-1411261  2021-11-28T13:00:00-05:00          Place             TIAA Bank Field          PostalAddress                  TIAA Bank Field     SportsTeam       Atlanta Falcons     SportsTeam      Jacksonville Jaguars
11  SportsEvent  http://schema.org      en-US        Denver Broncos vs Los Angeles Chargers       https://www.oddsshark.com/nfl/los-angeles-denver-odds-november-28-2021-1411266  2021-11-28T16:05:00-05:00          Place  Empower Field at Mile High          PostalAddress       Empower Field at Mile High     SportsTeam  Los Angeles Chargers     SportsTeam            Denver Broncos
12  SportsEvent  http://schema.org      en-US      San Francisco 49ers vs Minnesota Vikings  https://www.oddsshark.com/nfl/minnesota-san-francisco-odds-november-28-2021-1411271  2021-11-28T16:25:00-05:00          Place              Levi's Stadium          PostalAddress                   Levi's Stadium     SportsTeam     Minnesota Vikings     SportsTeam       San Francisco 49ers
13  SportsEvent  http://schema.org      en-US         Green Bay Packers vs Los Angeles Rams    https://www.oddsshark.com/nfl/los-angeles-green-bay-odds-november-28-2021-1411276  2021-11-28T16:25:00-05:00          Place               Lambeau Field          PostalAddress                    Lambeau Field     SportsTeam      Los Angeles Rams     SportsTeam         Green Bay Packers
14  SportsEvent  http://schema.org      en-US          Baltimore Ravens vs Cleveland Browns      https://www.oddsshark.com/nfl/cleveland-baltimore-odds-november-28-2021-1411281  2021-11-28T20:20:00-05:00          Place        M&T Bank Stadium          PostalAddress             M&T Bank Stadium     SportsTeam      Cleveland Browns     SportsTeam          Baltimore Ravens
15  SportsEvent  http://schema.org      en-US  Washington Football Team vs Seattle Seahawks       https://www.oddsshark.com/nfl/seattle-washington-odds-november-29-2021-1411286  2021-11-29T20:15:00-05:00          Place                 FedEx Field          PostalAddress                      FedEx Field     SportsTeam      Seattle Seahawks     SportsTeam  Washington Football Team


             
@type           @context inLanguage                                            name                                                                                  url                  startDate location.@type                    location.name location.address.@type location.address.addressLocality awayTeam.@type           awayTeam.name homeTeam.@type           homeTeam.name
0   SportsEvent  http://schema.org      en-US         Washington Wizards vs Charlotte Hornets     https://www.oddsshark.com/nba/charlotte-washington-odds-november-22-2021-1460581  2021-11-22T19:00:00-05:00          Place                Capital One Arena          PostalAddress                Capital One Arena     SportsTeam       Charlotte Hornets     SportsTeam      Washington Wizards
1   SportsEvent  http://schema.org      en-US            Cleveland Cavaliers vs Brooklyn Nets       https://www.oddsshark.com/nba/brooklyn-cleveland-odds-november-22-2021-1460586  2021-11-22T19:00:00-05:00          Place       Rocket Mortgage FieldHouse          PostalAddress       Rocket Mortgage FieldHouse     SportsTeam           Brooklyn Nets     SportsTeam     Cleveland Cavaliers
2   SportsEvent  http://schema.org      en-US               Boston Celtics vs Houston Rockets           https://www.oddsshark.com/nba/houston-boston-odds-november-22-2021-1460591  2021-11-22T19:30:00-05:00          Place                        TD Garden          PostalAddress                        TD Garden     SportsTeam         Houston Rockets     SportsTeam          Boston Celtics
3   SportsEvent  http://schema.org      en-US          Atlanta Hawks vs Oklahoma City Thunder    https://www.oddsshark.com/nba/oklahoma-city-atlanta-odds-november-22-2021-1460596  2021-11-22T19:30:00-05:00          Place                 State Farm Arena          PostalAddress                 State Farm Arena     SportsTeam   Oklahoma City Thunder     SportsTeam           Atlanta Hawks
4   SportsEvent  http://schema.org      en-US                 Chicago Bulls vs Indiana Pacers          https://www.oddsshark.com/nba/indiana-chicago-odds-november-22-2021-1460601  2021-11-22T20:00:00-05:00          Place                    United Center          PostalAddress                    United Center     SportsTeam          Indiana Pacers     SportsTeam           Chicago Bulls
5   SportsEvent  http://schema.org      en-US                Milwaukee Bucks vs Orlando Magic        https://www.oddsshark.com/nba/orlando-milwaukee-odds-november-22-2021-1460606  2021-11-22T20:00:00-05:00          Place                     Fiserv Forum          PostalAddress                     Fiserv Forum     SportsTeam           Orlando Magic     SportsTeam         Milwaukee Bucks
6   SportsEvent  http://schema.org      en-US  New Orleans Pelicans vs Minnesota Timberwolves    https://www.oddsshark.com/nba/minnesota-new-orleans-odds-november-22-2021-1460611  2021-11-22T20:00:00-05:00          Place             Smoothie King Center          PostalAddress             Smoothie King Center     SportsTeam  Minnesota Timberwolves     SportsTeam    New Orleans Pelicans
7   SportsEvent  http://schema.org      en-US               San Antonio Spurs vs Phoenix Suns      https://www.oddsshark.com/nba/phoenix-san-antonio-odds-november-22-2021-1460616  2021-11-22T20:30:00-05:00          Place                  AT&T Center          PostalAddress                  AT&T Center     SportsTeam            Phoenix Suns     SportsTeam       San Antonio Spurs
8   SportsEvent  http://schema.org      en-US                  Utah Jazz vs Memphis Grizzlies             https://www.oddsshark.com/nba/memphis-utah-odds-november-22-2021-1460621  2021-11-22T21:00:00-05:00          Place                     Vivint Arena          PostalAddress                     Vivint Arena     SportsTeam       Memphis Grizzlies     SportsTeam               Utah Jazz
9   SportsEvent  http://schema.org      en-US          Sacramento Kings vs Philadelphia 76ers  https://www.oddsshark.com/nba/philadelphia-sacramento-odds-november-22-2021-1460626  2021-11-22T22:00:00-05:00          Place                  Golden 1 Center          PostalAddress                  Golden 1 Center     SportsTeam      Philadelphia 76ers     SportsTeam        Sacramento Kings
10  SportsEvent  http://schema.org      en-US                   Detroit Pistons vs Miami Heat            https://www.oddsshark.com/nba/miami-detroit-odds-november-23-2021-1460631  2021-11-23T19:00:00-05:00          Place             Little Caesars Arena          PostalAddress             Little Caesars Arena     SportsTeam              Miami Heat     SportsTeam         Detroit Pistons
11  SportsEvent  http://schema.org      en-US           New York Knicks vs Los Angeles Lakers     https://www.oddsshark.com/nba/los-angeles-new-york-odds-november-23-2021-1460636  2021-11-23T19:30:00-05:00          Place            Madison Square Garden          PostalAddress            Madison Square Garden     SportsTeam      Los Angeles Lakers     SportsTeam         New York Knicks
12  SportsEvent  http://schema.org      en-US        Portland Trail Blazers vs Denver Nuggets          https://www.oddsshark.com/nba/denver-portland-odds-november-23-2021-1460641  2021-11-23T22:00:00-05:00          Place  Moda Center at the Rose Quarter          PostalAddress  Moda Center at the Rose Quarter     SportsTeam          Denver Nuggets     SportsTeam  Portland Trail Blazers
13  SportsEvent  http://schema.org      en-US        Los Angeles Clippers vs Dallas Mavericks       https://www.oddsshark.com/nba/dallas-los-angeles-odds-november-23-2021-1460646  2021-11-23T22:30:00-05:00          Place                   Staples Center          PostalAddress                   Staples Center     SportsTeam        Dallas Mavericks     SportsTeam    Los Angeles Clippers

額外的:

我以前從未使用過提取物。我喜歡!謝謝你介紹給我。這是一個解決方案:

import pandas as pd
import extruct as ex
import requests

urls = [
    'https://www.oddsshark.com/nfl/odds',
    'https://www.oddsshark.com/nba/odds']

for url in urls:
    response = requests.get(url).text
    jsonData = ex.extract(response, syntaxes=['json-ld'])['json-ld']
    df = pd.json_normalize(jsonData)
    df = df[df['@type'] == 'SportsEvent']
    
    print(df.to_string())

    # or to get just those columns
    #print(df[['awayTeam.name','homeTeam.name','location.name','startDate']])

轉載請註明出處,本文鏈接:https://www.uj5u.com/caozuo/365339.html

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