[英]Python: How to download Excel file from page
此代碼將使您以TrickyBen登錄,並向網站API發出請求...
從lxml導入請求從請求導入html從會話導入會話導入熊貓作為pd導入關閉
raceSession = Session()
LoginDetails = {'login': 'TrickyBen', 'password': 'TrickyBen123'}
LoginUrl = 'https://www.horseracebase.com/horse-racing-results.php?year=2005&month=3&day=15/horsebase1.php'
LoginPost = raceSession.post(LoginUrl, data=LoginDetails)
RaceUrl = 'https://www.horseracebase.com/excelresults.php'
RaceDataDetails = {"user": "41495", "racedate": "2005-3-15", "downloadbutton": "Excel"}
PostHeaders = {"Content-Type": "application/x-www-form-urlencoded"}
Response = raceSession.post(RaceUrl, data=RaceDataDetails, headers=PostHeaders)
Table = pd.read_table(Response.text)
Table.to_csv('blahblah.csv')
如果檢查元素,您會注意到相關元素看起來像這樣...
<form action="excelresults.php" method="post">
<input type="hidden" name="user" value="41495">
<input type="hidden" name="racedate" value="2005-3-15">
<input type="submit" class="downloadbutton" value="Excel">
</form>
我收到此錯誤消息...
Traceback (most recent call last):
File "/Users/Alex/Desktop/DateTest/hrpull.py", line 20, in <module>
Table = pd.read_table(Response.text)
File "/Library/Python/2.7/site-packages/pandas/io/parsers.py", line 562, in parser_f
return _read(filepath_or_buffer, kwds)
File "/Library/Python/2.7/site-packages/pandas/io/parsers.py", line 315, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
File "/Library/Python/2.7/site-packages/pandas/io/parsers.py", line 645, in __init__
self._make_engine(self.engine)
File "/Library/Python/2.7/site-packages/pandas/io/parsers.py", line 799, in _make_engine
self._engine = CParserWrapper(self.f, **self.options)
File "/Library/Python/2.7/site-packages/pandas/io/parsers.py", line 1213, in __init__
self._reader = _parser.TextReader(src, **kwds)
File "pandas/parser.pyx", line 358, in pandas.parser.TextReader.__cinit__ (pandas/parser.c:3427)
File "pandas/parser.pyx", line 628, in pandas.parser.TextReader._setup_parser_source (pandas/parser.c:6861)
IOError: File race_date race_time track race_name race_restrictions_age race_class major race_distance prize_money going_description number_of_runners place distbt horse_name stall trainer horse_age jockey_name jockeys_claim pounds odds fav official_rating comptime TotalDstBt MedianOR Dist_Furlongs placing_numerical RCode BFSP BFSP_Place PlcsPaid BFPlcsPaid Yards RailMove RaceType
"2005-03-15" "14:00:00" "Cheltenham" "Letheby & Christopher Supreme Novices Hurdle " "4yo+" "Class 1" "Grade 1" "2m˝f " "58000" "Good" "20" "1st" "Arcalis" "0" "Johnson, J Howard" "5" "Lee, G" "0" "161" "21" "136" "3 mins 53.00s" "121.5" "16.5" "1" "National Hunt" "0" "0" "3" "0" "0" "0" "Novices Hurdle"
"2005-03-15" "14:00:00" "Cheltenham" "Letheby & Christopher Supreme Novices Hurdle " "4yo+" "Class 1" "Grade 1" "2m˝f " "58000" "Good" "20" "2nd" "6" "Wild Passion (GER)" "0" "Meade, Noel" "5" "Carberry, P" "0" "161" "11" "0" "3 mins 53.00s" "6" "121.5" "16.5" "2" "National Hunt" "0" "0" "3" "0" "0" "0" "Novices Hurdle"
我認為您可以在另一個網頁上看到要下載的數據,例如,通過單擊“我的系統(v4)”。 如果可以這樣做,則可以使用urllib.request.urlretrieve下載該頁面。 然后,您可以使用html.parser.HTMLParser解析數據並根據需要進行處理。
如果您查看在表單操作中被調用的api,您將看到必須對此URL進行發布請求:
https://www.horseracebase.com/excelresults.php
具有以下參數:
data = {
"user": "41495", # looks like this varies with login, so update in case you change your login id
"racedate": "2005-3-15",
"downloadbutton": "Excel"
}
您可以執行以下操作:
response = raceSession.post(reqUrl, json=data)
如果這樣不起作用,請嘗試將標頭添加到請求中,例如: headers=postHeaders
。 對於前。 在這種情況下,您應該在發送表單編碼數據時設置內容類型標頭,因此:
headers = {"Content-Type": "application/x-www-form-urlencoded"}
閱讀此內容以獲取有關如何將excel保存到文件的更多信息。
這是Postman中對此請求的響應,因此看起來您不需要content-type
之外的任何其他標頭:
編輯
這是您需要做的:
raceSession = Session()
RaceUrl = 'https://www.horseracebase.com/excelresults.php'
RaceDataDetails = {"user": "41495", "racedate": "2005-3-15", "downloadbutton": "Excel"}
PostHeaders = {"Content-Type": "application/x-www-form-urlencoded"}
Response = raceSession.post(RaceUrl, data=RaceDataDetails, headers=PostHeaders)
# from StringIO import StringIO #for python 2.x
#import StringIO #for python 3.x
Table = pd.read_table(StringIO(Response.text))
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