作为雅虎财经,Google财经通过GET
请求对通过其网站提供的数据设置了一些限制。您可以看到,对于ASX:BBG
(和其他ASX
股票),historical prices
网站上缺少'export to spreadsheet'
选项(例如,与NASDAQ:GOOGL
比较)。
您还可以检查股票语法ASX:BBG
正确使用:
import pandas as pd
url = 'https://www.google.com/finance/historical'
params = {'q': 'ASX:BBG'}
r = requests.get(url=url, params=params)
pd.read_html(r.content)[2]
其产生分页结果的第一个30:
0 1 2 3 4 5
0 Date Open High Low Close Volume
1 May 27, 2016 1.44 1.46 1.40 1.46 0
2 May 26, 2016 1.36 1.48 1.36 1.46 0
3 May 25, 2016 1.38 1.40 1.36 1.38 0
4 May 24, 2016 1.38 1.39 1.35 1.38 0
5 May 23, 2016 1.33 1.42 1.32 1.42 0
6 May 20, 2016 1.33 1.35 1.32 1.33 0
7 May 19, 2016 1.39 1.40 1.33 1.34 0
8 May 18, 2016 1.38 1.40 1.37 1.39 0
9 May 17, 2016 1.36 1.38 1.36 1.38 0
10 May 16, 2016 1.38 1.38 1.32 1.36 0
11 May 13, 2016 1.36 1.40 1.35 1.38 0
12 May 12, 2016 1.33 1.38 1.33 1.36 0
13 May 11, 2016 1.32 1.39 1.32 1.35 0
14 May 10, 2016 1.26 1.33 1.26 1.32 0
15 May 9, 2016 1.30 1.32 1.27 1.27 0
16 May 6, 2016 1.30 1.32 1.28 1.32 0
17 May 5, 2016 1.31 1.31 1.28 1.30 0
18 May 4, 2016 1.30 1.32 1.26 1.30 0
19 May 3, 2016 1.32 1.33 1.24 1.32 0
20 May 2, 2016 1.36 1.36 1.29 1.33 0
21 Apr 29, 2016 1.32 1.37 1.30 1.36 0
22 Apr 28, 2016 1.35 1.36 1.28 1.30 0
23 Apr 27, 2016 1.38 1.40 1.34 1.36 0
24 Apr 26, 2016 1.40 1.41 1.37 1.38 0
25 Apr 22, 2016 1.42 1.43 1.41 1.42 0
26 Apr 21, 2016 1.44 1.46 1.42 1.42 0
27 Apr 20, 2016 1.48 1.48 1.42 1.46 0
28 Apr 19, 2016 1.48 1.52 1.44 1.46 0
29 Apr 18, 2016 1.50 1.52 1.48 1.48 0
30 Apr 15, 2016 1.50 1.54 1.49 1.50 0
因此,你可以修改params
这样
from datetime import date
params = {'q': 'ASX:BBG', 'startdate':date(2016,4,1), 'enddate':date(2016,5,1)}
重复通过不同的时间段:
0 1 2 3 4 5
0 Date Open High Low Close Volume
1 Apr 29, 2016 1.32 1.37 1.30 1.36 0
2 Apr 28, 2016 1.35 1.36 1.28 1.30 0
3 Apr 27, 2016 1.38 1.40 1.34 1.36 0
4 Apr 26, 2016 1.40 1.41 1.37 1.38 0
5 Apr 22, 2016 1.42 1.43 1.41 1.42 0
6 Apr 21, 2016 1.44 1.46 1.42 1.42 0
7 Apr 20, 2016 1.48 1.48 1.42 1.46 0
8 Apr 19, 2016 1.48 1.52 1.44 1.46 0
9 Apr 18, 2016 1.50 1.52 1.48 1.48 0
10 Apr 15, 2016 1.50 1.54 1.49 1.50 0
11 Apr 14, 2016 1.50 1.54 1.48 1.52 0
12 Apr 13, 2016 1.47 1.52 1.47 1.48 0
13 Apr 12, 2016 1.49 1.54 1.46 1.48 0
14 Apr 11, 2016 1.50 1.54 1.46 1.54 0
15 Apr 8, 2016 1.51 1.52 1.48 1.50 0
16 Apr 7, 2016 1.52 1.56 1.52 1.54 0
17 Apr 6, 2016 1.59 1.60 1.51 1.52 0
18 Apr 5, 2016 1.66 1.66 1.58 1.60 0
19 Apr 4, 2016 1.78 1.80 1.66 1.68 0
20 Apr 1, 2016 1.81 1.82 1.76 1.77 0