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我正在尝试下载 Google 趋势数据并使用 PhantomJS 加载页面并提取所需数据。当我在 url 中仅使用一个关键字运行我的代码时（示例 url：https ://www.google.com/trends/explore?date=today%203-m&geo=US&q=Blue ），它工作正常。一旦我添加第二个关键字（示例网址：https ://www.google.com/trends/explore?date=today%203-m&geo=US&q=Blue,Red) PhantomJS 不再正确加载页面，我无法找到我需要的数据。我尝试增加浏览器等待的时间，并尝试了许多不同的关键字，但均未成功。我没有想法，根本不明白为什么我的程序在稍微更改 url 后不再工作（两个 url 的标签和页面结构几乎相同，所以问题不在于标签不再具有相同的名称之前）这里是有问题的代码：

    # Reading google trends data
    google_trend_array = []
    url = 'https://www.google.com/trends/explore?date=today%203-m&geo=US&q=Blue,Red'
    browser = webdriver.PhantomJS('...\\phantomjs-2.1.1-windows\\bin\\phantomjs.exe')
    ran_smooth = False
    time_to_sleep = 3
    # ran_smooth makes sure that page has loaded and necessary code was extracted, if not it will try to load the page again
    while ran_smooth is False:
        browser.get(url)
        time.sleep(time_to_sleep)
        soup = BeautifulSoup(browser.page_source, "html.parser")  # BS object to use bs4
        table = soup.find('div', {'aria-label': 'A tabular representation of the data in the chart.'})
        # If page didn't load, this try will throw an exception
        try:
            # Copies all the data out of google trends table
            for col in table.findAll('td'):
                # google has both dates and trend values, the following function ensures that we only read the trend values
                if col.string.isdigit() is True:
                    trend_number = int(col.string)
                    google_trend_array.append(trend_number)

            # program ran through, leave while loop
            ran_smooth = True
        except AttributeError:
            print 'page not loading for term ' + str(term_to_trend) + ', trying again...'
            time_to_sleep += 1  # increase time to sleep so that page can load
    print google_trend_array
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1 回答 1

1

你应该看看pytrends，而不是重新发明轮子。

这是一个小例子：如何从谷歌趋势中提取数据框：

import pytrends.request

google_username = "<your_login>@gmail.com"
google_password = "<your_password>"

# connect to Google
pytrend = pytrends.request.TrendReq(google_username, google_password, custom_useragent='My Pytrends Script')
trend_payload = {'q': 'Pizza, Italian, Spaghetti, Breadsticks, Sausage', 'cat': '0-71'}
# trend = pytrend.trend(trend_payload)

df = pytrend.trend(trend_payload, return_type='dataframe')

你会得到：

            breadsticks  italian  pizza  sausage  spaghetti
Date                                                       
2004-01-01          0.0      9.0   34.0      3.0        3.0
2004-02-01          0.0     10.0   32.0      2.0        3.0
2004-03-01          0.0     10.0   32.0      2.0        3.0
2004-04-01          0.0      9.0   31.0      2.0        2.0
2004-05-01          0.0      9.0   32.0      2.0        2.0
2004-06-01          0.0      8.0   29.0      2.0        3.0
2004-07-01          0.0      8.0   34.0      2.0        3.0
[...]
于 2016-10-23T15:35:28.920 回答