import requests
import pandas as pd
from lxml import etree
import time
from time import sleep
url = 'http://quote.fx678.com/exchange/WH'
headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36'}
response=requests.get(url,headers=headers)
sleep(2)
html=etree.HTML(response.text)
names=html.xpath('//td[1]/a/text()')
prices=html.xpath('//td[2]/text()')
prices_change=html.xpath('//td[3]/span/text()')
price_high=html.xpath('//td[5]/text()')
price_low=html.xpath('//td[6]/text()')
price_yestday=html.xpath('//td[7]/text()')
dict={'names':names,'prices':prices,'prices_change':prices_change,'price_high':price_high,'price_low':price_low,'price_yestday':price_yestday}
df=pd.DataFrame(dict)
df
|
names |
price_high |
price_low |
price_yestday |
prices |
prices_change |
| 0 |
US dollar index |
90.91 |
90.75 |
90.79 |
90.90 |
0.11 |
| 1 |
EURUSD |
1.2239 |
1.2217 |
1.2233 |
1.2219 |
-0.0014 |
| 2 |
GBP USD |
1.3997 |
1.3970 |
1.3978 |
1.3971 |
-0.0007 |
| 3 |
USDJPY |
109.06 |
108.79 |
108.82 |
109.03 |
0.21 |
| 4 |
AUDUSD |
0.7606 |
0.7573 |
0.7604 |
0.7577 |
-0.0027 |
| 5 |
USD CHF |
0.9812 |
0.9783 |
0.9789 |
0.9808 |
0.0019 |
| 6 |
USD CAD |
1.2846 |
1.2821 |
1.2833 |
1.2844 |
0.0011 |
| 7 |
US dollar Hong Kong dollar |
7.8486 |
7.8458 |
7.8461 |
7.8477 |
0.0016 |
| 8 |
USD onshore RMB |
6.3082 |
6.2982 |
6.3065 |
6.3061 |
-0.0004 |
| 9 |
USD Offshore RMB |
6.3065 |
6.2881 |
6.2967 |
6.3056 |
0.0089 |
| 10 |
NZDCAD |
0.9137 |
0.9110 |
0.9136 |
0.9113 |
-0.0023 |
| 11 |
EURNZD |
1.7226 |
1.7179 |
1.7182 |
1.7221 |
0.0039 |
| 12 |
AUDJPY |
82.79 |
82.53 |
82.74 |
82.60 |
-0.14 |
| 13 |
AUDNZD |
1.0693 |
1.0671 |
1.0681 |
1.0679 |
-0.0002 |
| 14 |
AUDCAD |
0.9759 |
0.9726 |
0.9758 |
0.9732 |
-0.0026 |
| 15 |
CHF JPY |
111.23 |
111.02 |
111.16 |
111.16 |
-0.01 |
| 16 |
AUDCHF |
0.7450 |
0.7429 |
0.7443 |
0.7431 |
-0.0012 |
| 17 |
GBP CAD |
1.7951 |
1.7929 |
1.7937 |
1.7945 |
0.0008 |
| 18 |
EUR GBP |
0.8753 |
0.8740 |
0.8752 |
0.8746 |
-0.0006 |
| 19 |
CAD and CHF |
0.7647 |
0.7624 |
0.7628 |
0.7636 |
0.0008 |
| 20 |
Pound sterling |
152.46 |
152.07 |
152.10 |
152.32 |
0.22 |
| 21 |
EURJPY |
133.29 |
133.03 |
133.11 |
133.21 |
0.10 |
| 22 |
EURCHF |
1.1990 |
1.1973 |
1.1976 |
1.1985 |
0.0009 |
| 23 |
NZDJPY |
77.51 |
77.33 |
77.47 |
77.35 |
-0.12 |
| 24 |
GBP CHF |
1.3715 |
1.3673 |
1.3683 |
1.3703 |
0.0020 |
| 25 |
NZDCHF |
0.6973 |
0.6957 |
0.6969 |
0.6959 |
-0.0010 |
| 26 |
Canadian dollar Japanese yen |
85.00 |
84.76 |
84.79 |
84.88 |
0.09 |
| 27 |
GBP AUD |
1.8449 |
1.8377 |
1.8384 |
1.8440 |
0.0056 |
| 28 |
EUR AUD |
1.6133 |
1.6082 |
1.6088 |
1.6127 |
0.0039 |
| 29 |
GBP NZD |
1.9697 |
1.9628 |
1.9632 |
1.9691 |
0.0059 |
| 30 |
EURCAD |
1.5699 |
1.5678 |
1.5698 |
1.5694 |
-0.0004 |
| 31 |
US Dollar Polish Zloty |
3.7395 |
3.7329 |
3.7334 |
3.7359 |
0.0025 |
| 32 |
US Dollar Mexican Peso |
18.857 |
18.795 |
18.819 |
18.852 |
0.033 |
| 33 |
US Dollar Hungarian Forint |
275.76 |
275.29 |
275.30 |
275.70 |
0.40 |
| 34 |
US Dollar Turkish Lira |
4.0914 |
4.0831 |
4.0861 |
4.0877 |
0.0016 |
| 35 |
US Dollar South African Rand |
12.372 |
12.321 |
12.326 |
12.368 |
0.041 |
| 36 |
US Dollar Czech Koruna |
23.706 |
23.666 |
23.669 |
23.693 |
0.024 |
| 37 |
US Dollar Danish Krone |
6.0954 |
6.0850 |
6.0890 |
6.0946 |
0.0056 |
| 38 |
US dollar Norway |
7.9197 |
7.8958 |
7.9026 |
7.9188 |
0.0162 |
| 39 |
dollar ruble |
61.987 |
61.441 |
61.523 |
61.656 |
0.133 |
| 40 |
dollar swedish |
8.5209 |
8.5067 |
8.5077 |
8.5208 |
0.0131 |
| 41 |
USD SGD |
1.3254 |
1.3218 |
1.3221 |
1.3251 |
0.0030 |
| 42 |
NZDUSD |
0.7121 |
0.7092 |
0.7120 |
0.7095 |
-0.0025 |
| 43 |
bitcoin dollar |
4153.62 |
4019.65 |
4073.00 |
4081.77 |
8.77 |