问题
I'm trying to do web scraping on Google search by using a list of names as inputs and get dataset in a DataFame. I used selenium for web scraping before, I am having a difficult time building syntax using loops to run a list of names as an input to get the results and scrap each page. Here is my Python code below:
baseUrl = 'https://www.google.com/search?q='
pluseUrl = input('CEO: ')
url = baseUrl + quote_plus(pluseUrl)
browser = webdriver.Chrome(r"C:\Users\...\chromedriver.exe")
browser.get(url)
table = browser.find_elements_by_css_selector('div.ifM9O')
df = pd.DataFrame(columns = ['ceo', 'value'])
values =[]
for row in table:
ceo = str(([c.text for c in row.find_elements_by_css_selector('div.kno-ecr-pt.PZPZlf.gsmt.i8lZMc')])).strip('[]').strip("''")
value = str(([c.text for c in row.find_elements_by_css_selector('div.Z1hOCe')])).strip('[]').strip("''")
ceo = pd.Series(ceo)
value = pd.Series(value)
df = df.assign(**{'ceo': ceo, 'value': value})
print(df)
And here is the result after putting Bill Gates as an input:
CEO: Bill gates
ceo value
0 Bill Gates Born: October 28, 1955 (age 64 years), Seattle...
Any suggestions or recommendations will be appreciated.
回答1:
Try this:
baseUrl = 'https://www.google.com/search?q='
browser = webdriver.Chrome(r"C:\Users\...\chromedriver.exe")
input_list = ["Bill Gates", "Elon Musk", "Warren Buffet"]
output = {}
def scrape_ceo_list(list_of_ceo):
for ceo in list_of_ceo:
browser.get(baseUrl + ceo)
// query selectors, dataframes etc as per original code
// ...
output[ceo] = df
output is now a dictionary of data frames, with CEO names as dictionary keys.
来源:https://stackoverflow.com/questions/60628327/google-search-web-scraping-with-a-list-of-key-words-in-python