在python中获取selenium数据并将其追加到字典{key:value}对中

Question

enter image description here请参阅所附图片。我正在尝试获取selenium数据并尝试将输出附加到Dictionary中。如expected output中所示：

from selenium import webdriver
PATH ="/home/sunbeam/chromedriver"
driver = webdriver.Chrome(PATH)

driver.get("https://trends24.in/india/")
print(driver.title)

videos1=driver.find_element_by_class_name('page-content__trend-list').text
print(videos1)

driver.quit()

输出：

54 minutes ago
#CSKvDC
66K
Raina
36K
Dhoni
39K
Dhoni
39K   etc...

预期产出：

   54 minutes ago

   [{"#CSKvDC":"66K"},
   {"Raina":"36K"},
   {"Dhoni":"39K"},
   {"Dhoni":"39K"}] etc...

Answer 1

driver.get("https://trends24.in/india/")
print(driver.title)
values=[]
first=driver.find_element_by_xpath("(//div[@class='trend-card'])[1]")
time=first.find_element_by_xpath("./h5[@class='trend-card__time']").text
print(time)
for li in first.find_elements_by_xpath("./ol[@class='trend-card__list']/li"):
    arr=li.text.split('\n')
    #print(arr)
    title=arr[0]
    if len(arr)==2:
        tweetCount = arr[1]
    else:
        tweetCount= "NA"
    values.append({title:tweetCount})
print(values)

为您的值创建一个空列表，并首次打印超时。然后循环并拆分这些值，并将标题放在第一个位置，将tweetCount放在第二个位置。 有些值没有tweetCounts，所以我只使用NA作为值

输出

India | Twitter trending hashtag and topics today | trends24.in
56 minutes ago
[{'#WrestleMania': '216K'}, {'#ElClasico': '397K'}, {'Barca': '264K'}, {'#HalaMadrid': '116K'}, {'Messi': '299K'}, {'#SusuJournalists': 'NA'}, {'Zidane': '89K'}, {'#CSKvDC': '117K'}, {'Benzema': '233K'}, {'Valverde': '39K'}]

基本上先用趋势卡替换（任何变量）

driver.get("https://trends24.in/india/")
print(driver.title)

for trendCard in driver.find_elements_by_xpath("//div[@class='trend-card']"):
    values=[]
    time=trendCard.find_element_by_xpath("./h5[@class='trend-card__time']").text
    print(time)

    for li in trendCard.find_elements_by_xpath("./ol[@class='trend-card__list']/li"):
        arr=li.text.split('\n')
        # print(arr)
        title=arr[0]
        if len(arr)==2:
            tweetCount = arr[1]
        else:
            tweetCount= "NA"
        values.append({title:tweetCount})
    print(values)

产出：

India | Twitter trending hashtag and topics today | trends24.in
50 minutes ago
[{'#DearSidNaaz': '387K'}, {'#WhoCreatedTheUniverse': '393K'}, {'#Justice4ShambhuPujari': '40K'}, {'#SecretsOfNature': '344K'}, {'Rhea Planted In SSR Life': '69K'}, {'#JyotibaPhule': '16K'}, {'टीका उत्सव': '27K'}, {'Gill': '140K'}, {'super woman promo': 'NA'}, {'Rashid Khan': 'NA'}]
1 hour ago
[{'#DearSidNaaz': '127K'}, {'#WhoCreatedTheUniverse': '368K'}, {'#SecretsOfNature': '322K'}, {'#Justice4ShambhuPujari': '31K'}, {'#jyotibaphule': '14K'}, {'Rhea Planted In SSR Life': '54K'}, {'टीका उत्सव': '23K'}, {'सुंदर शब्द': 'NA'}, {'Gill': '77K'}, {'Super Woman Promo': 'NA'}]
2 hours ago
[{'#WhoCreatedTheUniverse': '343K'}, {'#SecretsOfNature': '301K'}, {'#sundayvibes': 'NA'}, {'#Justice4ShambhuPujari': '17K'}, {'#jyotibaphule': '10K'}, {'Rhea Planted In SSR Life': '40K'}, {'सुंदर शब्द': 'NA'}, {'टीका उत्सव': '18K'}, {'Satlok': '96K'}, {'God Kabir': '84K'}]
3 hours ago
[{'#WhoCreatedTheUniverse': '310K'}, {'#SecretsOfNature': '272K'}, {'#sundayvibes': 'NA'}, {'#jyotibaphule': 'NA'}, {'#मोदी_नंग_किसान_तंग': '53K'}, {'Rhea Planted In SSR Life': '24K'}, {'Satlok': '89K'}, {'God Kabir': '78K'}, {'सामाजिक क्रांति': 'NA'}, {'महान समाज': '11K'}]
4 hours ago
[{'#WhoCreatedTheUniverse': '266K'}, {'#SecretsOfNature': '235K'}, {'#मोदी_संग_किसान': '12K'}, {'#sundayvibes': 'NA'}, {'#मोदी_नंग_किसान_तंग': '41K'}, {'Satlok': '82K'}, {'God Kabir': '70K'}, {'Rhea Planted In SSR Life': '10K'}, {'कबीर परमेश्वर': '22K'}, {'Jyoti Niranjan': 'NA'}]
5 hours ago
[{'#WhoCreatedTheUniverse': '206K'}, {'#SecretsOfNature': '183K'}, {'#मोदी_नंग_किसान_तंग': '27K'}, {'#DAP_खाद_की_दर_कम_करो': '17K'}, {'#SpiritualSunday': '12K'}, {'Satlok': '71K'}, {'God Kabir': '59K'}, {'Jyoti Niranjan': 'NA'}, {'कबीर परमेश्वर': '18K'}, {'ज्योति निरंजन': '14K'}]
6 hours ago
[{'#WhoCreatedTheUniverse': '104K'}, {'#SecretsOfNature': '95K'}, {'#SpiritualSunday': 'NA'}, {'#DAP_खाद_की_दर_कम_करो': '11K'}, {'Satlok': '51K'}, {'#मोदी_नंग_किसान_तंग': '13K'}, {'God Kabir': '40K'}, {'Jyoti Niranjan': 'NA'}, {'कबीर परमेश्वर': '10K'}, {'ज्योति निरंजन': 'NA'}]
7 hours ago
[{'#WrestleMania': '296K'}, {'#DAP_खाद_की_दर_कम_करो': 'NA'}, {'#sundayvibes': 'NA'}, {'#ElClasico': '401K'}, {'#SundayMorning': 'NA'}, {'Lashley': '16K'}, {'Dembele': '69K'}, {'Barca': '266K'}, {'Sushant Ki Aawaz Arnab': '99K'}, {'Drew': '86K'}]
8 hours ago
[{'#WrestleMania': '216K'}, {'#ElClasico': '397K'}, {'Barca': '264K'}, {'#HalaMadrid': '116K'}, {'Messi': '299K'}, {'#SusuJournalists': 'NA'}, {'Zidane': '89K'}, {'#CSKvDC': '117K'}, {'Benzema': '233K'}, {'Valverde': '39K'}]
8 hours ago
[{'#ElClasico': '392K'}, {'Barca': '261K'}, {'#HalaMadrid': '113K'}, {'Dembele': '67K'}, {'#CSKvDC': '117K'}, {'#susujournalists': 'NA'}, {'Messi': '295K'}, {'Koeman': '54K'}, {'Benzema': '228K'}, {'Zidane': '86K'}]
9 hours ago
[{'#ElClasico': '385K'}, {'Barca': '257K'}, {'#HalaMadrid': '107K'}, {'Dembele': '66K'}, {'#CSKvDC': '117K'}, {'#SusuJournalists': 'NA'}, {'Messi': '289K'}, {'Casemiro': '51K'}, {'Koeman': '50K'}, {'Zidane': '81K'}]
10 hours ago
[{'#ElClasico': '363K'}, {'Barca': '245K'}, {'#HalaMadrid': '93K'}, {'Dembele': '63K'}, {'#CSKvDC': '116K'}, {'Messi': '273K'}, {'#SusuJournalists': 'NA'}, {'Casemiro': '45K'}, {'Koeman': '41K'}, {'Benzema': '202K'}]
11 hours ago
[{'#ElClasico': '304K'}, {'#CSKvDC': '116K'}, {'Dembele': '56K'}, {'Barca': '207K'}, {'#SusuJournalists': 'NA'}, {'#RealMadridBarcelona': '39K'}, {'Messi': '224K'}, {'Sushant Ki Aawaz Arnab': '85K'}, {'#DelhiCapitals': '15K'}, {'Casemiro': '34K'}]
12 hours ago
[{'#ElClasico': '245K'}, {'#CSKvDC': '115K'}, {'Dembele': '50K'}, {'#SusuJournalists': 'NA'}, {'#DelhiCapitals': '15K'}, {'Barca': '173K'}, {'Sushant Ki Aawaz Arnab': '80K'}, {'Shaw': '25K'}, {'Benzema': '136K'}, {'#CRYCHE': '66K'}]
13 hours ago
[{'#CSKvDC': '114K'}, {'#DelhiCapitals': '14K'}, {'Shaw': '24K'}, {'#SusuJournalists': 'NA'}, {'#CRYCHE': '63K'}, {'Sushant Ki Aawaz Arnab': '73K'}, {'Dhoni': '57K'}, {'#ElClasico': '158K'}, {'Pulisic': '37K'}, {'Havertz': '48K'}]
14 hours ago
[{'#CSKvDC': '109K'}, {'#DelhiCapitals': '14K'}, {'Shaw': '23K'}, {'Dhoni': '54K'}, {'#CRYCHE': '50K'}, {'Sushant Ki Aawaz Arnab': '61K'}, {'#BANGBANGCON21': '365K'}, {'#ThankYouCRPAATIL': 'NA'}, {'Raina': '50K'}, {'Pulisic': '25K'}]
15 hours ago
[{'#CSKvDC': '97K'}, {'Shaw': '20K'}, {'#BANGBANGCON21': '337K'}, {'Dhoni': '49K'}, {'Raina': '47K'}, {'#CRYCHE': '38K'}, {'#AskStar': 'NA'}, {'#DelhiCapitals': '11K'}, {'Sushant Ki Aawaz Arnab': '43K'}, {'Sam Curran': '12K'}]
16 hours ago
[{'#CSKvDC': '87K'}, {'Raina': '45K'}, {'#DhoniReturns': '17K'}, {'#BANGBANGCON21': '293K'}, {'#ChinnaThala': 'NA'}, {'Sam Curran': '11K'}, {'#LIVAVL': '36K'}, {'Shaw': '13K'}, {'Mr. IPL': 'NA'}, {'Sushant Ki Aawaz Arnab': '23K'}]
17 hours ago
[{'#CSKvDC': '66K'}, {'Raina': '36K'}, {'Dhoni': '39K'}, {'Dhoni': '39K'}, {'#BANGBANGCON21': '193K'}, {'Mr. IPL': 'NA'}, {'#WhistlePodu': '97K'}, {'#YSJaganFearsVakeelSaab': '130K'}, {'#Askstar': 'NA'}, {'Avesh Khan': 'NA'}]
17 hours ago
[{'#CSKvDC': '43K'}, {'#YSJaganFearsVakeelSaab': '105K'}, {'#WelcomeDhoni': '21K'}, {'#MCILEE': '31K'}, {'Leeds': '104K'}, {'ICONIC MSD RETURNS': '18K'}, {'Raina': '16K'}, {'#WhistlePodu': '85K'}, {'Dallas': '61K'}, {'CEEDED EMPEROR RAMCHARAN': '27K'}]
18 hours ago
[{'#CSKvsDC': '19K'}, {'#MCILEE': '26K'}, {'#WelcomeDhoni': '18K'}, {'#YSJaganFearsVakeelSaab': '78K'}, {'Leeds': '83K'}, {'ICONIC MSD RETURNS': '16K'}, {'#TemplesOnlyForHindus': '44K'}, {'Dallas': '54K'}, {'seokjin': '339K'}, {'Bielsa': '22K'}]
19 hours ago
[{'#YSJaganFearsVakeelSaab': '27K'}, {'#WelcomeDhoni': 'NA'}, {'#TemplesOnlyForHindus': '36K'}, {'ICONIC MSD RETURNS': 'NA'}, {'seokjin': '310K'}, {'#CSKvsDC': '14K'}, {'#BreakTheTwitterBeard': 'NA'}, {'CEEDED GADDA NTR ADDA': '11K'}, {'1M IG POSTS ADMIRING ALY': '52K'}, {'Sterling': '30K'}]
20 hours ago
[{'#TemplesOnlyForHindus': '23K'}, {'seokjin': '272K'}, {'#SwiggyForkCast': 'NA'}, {'#BreakTheTwitterBeard': 'NA'}, {'#CSKvDC': '18K'}, {'#VikrantRonaAnnouncement': '25K'}, {'1M IG POSTS ADMIRING ALY': '46K'}, {'CEEDED GADDA NTR ADDA': 'NA'}, {'Cooper Botched SSR Case': '117K'}, {'bogum': '18K'}]
21 hours ago
[{'#TemplesOnlyForHindus': 'NA'}, {'#Clubhouse': '45K'}, {'#VikrantRonaAnnouncement': '10K'}, {'#CSKvsDC': '10K'}, {'#BreakTheTwitterBeard': 'NA'}, {'1M IG POSTS ADMIRING ALY': '38K'}, {'Cooper Botched SSR Case': '106K'}, {'bogum': 'NA'}, {'CISF': 'NA'}, {'Krishnanagar': 'NA'}]

Answer 2

尝试这种方法：

1. 创建一个新的空字典
2. 通过两个不同的选择器查找元素、键和值，并在查找期间将它们逐个填充到字典中