Question

我正在尝试从 coinmarketcap 的表格中抓取历史数据。但是，我运行的代码返回“无数据”。我认为这会很容易，但不确定我错过了什么。

url = "https://coinmarketcap.com/currencies/bitcoin/historical-data/"

data = requests.get(url)

bs=BeautifulSoup(data.text, "lxml")
table_body=bs.find('tbody')
rows = table_body.find_all('tr')
for row in rows:
    cols=row.find_all('td')
    cols=[x.text.strip() for x in cols]
    print(cols)

输出：

C:\Users\Ejer\anaconda3\envs\pythonProject\python.exe C:/Users/Ejer/PycharmProjects/pythonProject/CloudSQL_test.py
['No Data']

Process finished with exit code 0

Answer 1

您的问题基本上是您正在尝试获取一张表，但该表是由 JS 动态创建的，在这种情况下，您需要为此 JS 调用解释器。但是，您只需检查浏览器上的网络监视器，就可以获得请求，并且可能包含完整的 JSON 或 XML 原始数据，而无需抓取。我做到了，我收到了这个请求：

https://web-api.coinmarketcap.com/v1/cryptocurrency/ohlcv/historical?id=1&convert=USD&time_start=1604016000&time_end=1609286400

看看吧，希望能帮到你！

Answer 2

您不需要抓取数据，您可以get请求它：

import time
import requests


def get_timestamp(datetime: str):
    return int(time.mktime(time.strptime(datetime, '%Y-%m-%d %H:%M:%S')))


def get_btc_quotes(start_date: str, end_date: str):
    start = get_timestamp(start_date)
    end = get_timestamp(end_date)
    url = f'https://web-api.coinmarketcap.com/v1/cryptocurrency/ohlcv/historical?id=1&convert=USD&time_start={start}&time_end={end}'
    return requests.get(url).json()


data = get_btc_quotes(start_date='2020-12-01 00:00:00',
                      end_date='2020-12-10 00:00:00')

import pandas as pd
# making A LOT of assumptions here, hopefully the keys don't change in the future
data_flat = [quote['quote']['USD'] for quote in data['data']['quotes']]
df = pd.DataFrame(data_flat)

print(df)

输出：

           open          high           low         close        volume    market_cap                 timestamp
0  18801.743593  19308.330663  18347.717838  19201.091157  3.738770e+10  3.563810e+11  2020-12-02T23:59:59.999Z
1  19205.925404  19566.191884  18925.784434  19445.398480  3.193032e+10  3.609339e+11  2020-12-03T23:59:59.999Z
2  19446.966422  19511.404714  18697.192914  18699.765613  3.387239e+10  3.471114e+11  2020-12-04T23:59:59.999Z
3  18698.385279  19160.449265  18590.193675  19154.231131  2.724246e+10  3.555639e+11  2020-12-05T23:59:59.999Z
4  19154.180593  19390.499895  18897.894072  19345.120959  2.529378e+10  3.591235e+11  2020-12-06T23:59:59.999Z
5  19343.128798  19411.827676  18931.142919  19191.631287  2.689636e+10  3.562932e+11  2020-12-07T23:59:59.999Z
6  19191.529463  19283.478339  18269.945444  18321.144916  3.169229e+10  3.401488e+11  2020-12-08T23:59:59.999Z
7  18320.884784  18626.292652  17935.547820  18553.915377  3.442037e+10  3.444865e+11  2020-12-09T23:59:59.999Z
8  18553.299728  18553.299728  17957.065213  18264.992107  2.554713e+10  3.391369e+11  2020-12-10T23:59:59.999Z

抓取表格时没有数据

2 个答案: