此画面数据 url 不返回任何数据。事实上,它只渲染值的图像(可能是画布),我猜它会根据坐标检测点击。可能是为了缓存值并快速渲染而采用这种方式。
但是当您点击一个州时,它实际上会返回数据,但似乎并不总是返回该州的结果(但适用于各个县)。
我找到的解决方案是使用工具提示来获取状态数据。当您单击状态时,它会生成如下请求:
POST https://public.tableau.com/{path}/{session_id}/commands/tabsrv/render-tooltip-server
使用以下表单参数:
worksheet: US Map - State - CMI
dashboard: CMI
tupleIds: [18]
vizRegionRect: {"r":"viz","x":496,"y":148,"w":0,"h":0,"fieldVector":null}
allowHoverActions: false
allowPromptText: true
allowWork: false
useInlineImages: true
其中tupleIds: [18] 指的是状态列表中的状态索引,按字母倒序排列,如下所示:
stateNames = ["Wyoming","Wisconsin","West Virginia","Washington","Virginia","Vermont","Utah","Texas","Tennessee","South Dakota","South Carolina","Rhode Island","Pennsylvania","Oregon","Oklahoma","Ohio","North Dakota","North Carolina","New York","New Mexico","New Jersey","New Hampshire","Nevada","Nebraska","Montana","Missouri","Mississippi","Minnesota","Michigan","Massachusetts","Maryland","Maine","Louisiana","Kentucky","Kansas","Iowa","Indiana","Illinois","Idaho","Georgia","Florida","District of Columbia","Delaware","Connecticut","Colorado","California","Arkansas","Arizona","Alabama"]
它提供了一个带有工具提示 html 的 json,其中包含您要提取的 CMI 和 YoY 值:
{
"vqlCmdResponse": {
"cmdResultList": [{
"commandName": "tabsrv:render-tooltip-server",
"commandReturn": {
"tooltipText": "{\"htmlTooltip\": \"<HTML HERE WITH THE VALUES>\"}]},\"overlayAnchors\":[]}"
}
}]
}
}
唯一需要注意的是,您必须为每个状态发出一个请求:
import requests
from bs4 import BeautifulSoup
import json
import time
data_host = "https://public.tableau.com"
r = requests.get(
f"{data_host}/views/CMI-2_0/CMI",
params= {
":showVizHome":"no",
}
)
soup = BeautifulSoup(r.text, "html.parser")
tableauData = json.loads(soup.find("textarea",{"id": "tsConfigContainer"}).text)
dataUrl = f'{data_host}{tableauData["vizql_root"]}/bootstrapSession/sessions/{tableauData["sessionid"]}'
r = requests.post(dataUrl, data= {
"sheet_id": tableauData["sheetId"],
})
data = []
stateNames = ["Wyoming","Wisconsin","West Virginia","Washington","Virginia","Vermont","Utah","Texas","Tennessee","South Dakota","South Carolina","Rhode Island","Pennsylvania","Oregon","Oklahoma","Ohio","North Dakota","North Carolina","New York","New Mexico","New Jersey","New Hampshire","Nevada","Nebraska","Montana","Missouri","Mississippi","Minnesota","Michigan","Massachusetts","Maryland","Maine","Louisiana","Kentucky","Kansas","Iowa","Indiana","Illinois","Idaho","Georgia","Florida","District of Columbia","Delaware","Connecticut","Colorado","California","Arkansas","Arizona","Alabama"]
for stateIndex, state in enumerate(stateNames):
time.sleep(0.5) #for throttling
r = requests.post(f'{data_host}{tableauData["vizql_root"]}/sessions/{tableauData["sessionid"]}/commands/tabsrv/render-tooltip-server',
data = {
"worksheet": "US Map - State - CMI",
"dashboard": "CMI",
"tupleIds": f"[{stateIndex+1}]",
"vizRegionRect": json.dumps({"r":"viz","x":496,"y":148,"w":0,"h":0,"fieldVector":None}),
"allowHoverActions": "false",
"allowPromptText": "true",
"allowWork": "false",
"useInlineImages": "true"
})
tooltip = json.loads(r.json()["vqlCmdResponse"]["cmdResultList"][0]["commandReturn"]["tooltipText"])["htmlTooltip"]
soup = BeautifulSoup(tooltip, "html.parser")
rows = [
t.find("tr").find_all("td")
for t in soup.find_all("table")
]
entry = { "state": state }
for row in rows:
if (row[0].text == "Mobility Index:"):
entry["CMI"] = "".join([t.text.strip() for t in row[1:]])
if row[0].text == "YoY (%):":
entry["YoY"] = "".join([t.text.strip() for t in row[1:]])
print(entry)
data.append(entry)
print(data)
Try this on repl.it
要获取县信息,它与使用select 端点的this post 相同,它为您提供与您在问题中链接的帖子格式相同的数据
以下将提取所有县和州的数据:
import requests
from bs4 import BeautifulSoup
import json
import time
data_host = "https://public.tableau.com"
worksheet = "US Map - State - CMI"
dashboard = "CMI"
r = requests.get(
f"{data_host}/views/CMI-2_0/CMI",
params= {
":showVizHome":"no",
}
)
soup = BeautifulSoup(r.text, "html.parser")
tableauData = json.loads(soup.find("textarea",{"id": "tsConfigContainer"}).text)
dataUrl = f'{data_host}{tableauData["vizql_root"]}/bootstrapSession/sessions/{tableauData["sessionid"]}'
r = requests.post(dataUrl, data= {
"sheet_id": tableauData["sheetId"],
})
data = []
stateNames = ["Wyoming","Wisconsin","West Virginia","Washington","Virginia","Vermont","Utah","Texas","Tennessee","South Dakota","South Carolina","Rhode Island","Pennsylvania","Oregon","Oklahoma","Ohio","North Dakota","North Carolina","New York","New Mexico","New Jersey","New Hampshire","Nevada","Nebraska","Montana","Missouri","Mississippi","Minnesota","Michigan","Massachusetts","Maryland","Maine","Louisiana","Kentucky","Kansas","Iowa","Indiana","Illinois","Idaho","Georgia","Florida","District of Columbia","Delaware","Connecticut","Colorado","California","Arkansas","Arizona","Alabama"]
for stateIndex, state in enumerate(stateNames):
time.sleep(0.5) #for throttling
r = requests.post(f'{data_host}{tableauData["vizql_root"]}/sessions/{tableauData["sessionid"]}/commands/tabsrv/render-tooltip-server',
data = {
"worksheet": worksheet,
"dashboard": dashboard,
"tupleIds": f"[{stateIndex+1}]",
"vizRegionRect": json.dumps({"r":"viz","x":496,"y":148,"w":0,"h":0,"fieldVector":None}),
"allowHoverActions": "false",
"allowPromptText": "true",
"allowWork": "false",
"useInlineImages": "true"
})
tooltip = json.loads(r.json()["vqlCmdResponse"]["cmdResultList"][0]["commandReturn"]["tooltipText"])["htmlTooltip"]
soup = BeautifulSoup(tooltip, "html.parser")
rows = [
t.find("tr").find_all("td")
for t in soup.find_all("table")
]
entry = { "state": state }
for row in rows:
if (row[0].text == "Mobility Index:"):
entry["CMI"] = "".join([t.text.strip() for t in row[1:]])
if row[0].text == "YoY (%):":
entry["YoY"] = "".join([t.text.strip() for t in row[1:]])
r = requests.post(f'{data_host}{tableauData["vizql_root"]}/sessions/{tableauData["sessionid"]}/commands/tabdoc/select',
data = {
"worksheet": worksheet,
"dashboard": dashboard,
"selection": json.dumps({
"objectIds":[stateIndex+1],
"selectionType":"tuples"
}),
"selectOptions": "select-options-simple"
})
entry["county_data"] = r.json()["vqlCmdResponse"]["layoutStatus"]["applicationPresModel"]["dataDictionary"]["dataSegments"]
print(entry)
data.append(entry)
print(data)