将数据从网页抓取导出到 Excel 时遇到问题

时间:2020-12-25 11:14:35

标签: python excel pandas web-scraping

我从表中抓取了数据,需要帮助才能将数据导出到 excel。我在循环后创建了一个数据框,但是当我打开 excel 文件时,我可以看到数据不在那里。相反,它看起来像 html 或 json 链接。这是我的代码,最后我会展示输出。

import time

import requests
from lxml import html
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import pandas as pd

url = "https://coinmarketcap.com/"

driver = webdriver.Chrome(executable_path=r'C:\Users\Ejer\PycharmProjects\pythonProject\chromedriver.exe')

driver.get(url)
driver.maximize_window()
for i in range(22):

    coin_name = driver.find_elements_by_xpath('//td[3]/a[@class="cmc-link" and starts-with(@href, "/currencies/")]')
    prices = driver.find_elements_by_xpath('//td[4]/div/a[@class = "cmc-link" and contains(@href, "/markets/")]')
    market_caps = driver.find_elements_by_xpath('//td[7]/p[@class="sc-1eb5slv-0 kDEzev"]')

    html = driver.find_element_by_tag_name('html')
    html.send_keys(Keys.PAGE_DOWN)
    for coin, price, cap in zip(coin_name, prices, market_caps):
        print("Coin :", coin.text, "Price :", price.text, "Market cap:", cap.text)


print(len(prices))
print(len(coin_name))
print(len(market_caps))
print(type(prices))
print(type(coin_name))
print(type(market_caps))

df = pd.DataFrame({
     'Alt coin name': coin_name,
     'Price': prices,
     'Market cap': market_caps
 })

df.to_excel (r'C:\Users\Ejer\PycharmProjects\pythonProject\cmc_data.xlsx', index = False, header=True)

这是excel中的输出示例:

1 个答案:

答案 0 :(得分:1)

发生了什么?

您尝试将元素直接推送到您的 pd/excel 中,但您想要推送的是值。

因此,与其打印循环中的所有值,不如使用它将它们放入 listdicts 中,然后根据该结果创建 df

这就是诀窍:

创建您的list dicts

results = [{"Alt coin name": coin.text, "Price": price.text, "Market cap": cap.text} for coin, price, cap in zip(coin_name, prices, market_caps)]

创建您的df

df = pd.DataFrame(results)

示例

import time

import requests
from lxml import html
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import pandas as pd

url = "https://coinmarketcap.com/"

driver = webdriver.Chrome(executable_path=r'C:\Program Files\ChromeDriver\chromedriver.exe')

driver.get(url)
driver.maximize_window()
for i in range(22):

    coin_name = driver.find_elements_by_xpath('//td[3]/a[@class="cmc-link" and starts-with(@href, "/currencies/")]')
    prices = driver.find_elements_by_xpath('//td[4]/div/a[@class = "cmc-link" and contains(@href, "/markets/")]')
    market_caps = driver.find_elements_by_xpath('//td[7]/p[@class="sc-1eb5slv-0 kDEzev"]')

    html = driver.find_element_by_tag_name('html')
    html.send_keys(Keys.PAGE_DOWN)

    results = [{"Alt coin name": coin.text, "Price": price.text, "Market cap": cap.text} for coin, price, cap in zip(coin_name, prices, market_caps)]

df = pd.DataFrame(results)

df.to_excel (r'C:\Users\Ejer\PycharmProjects\pythonProject\cmc_data.xlsx', index = False, header=True)