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我一直在尝试从 SendinBlue API 获取数据。问题是 API 每次调用限制为 100 个寄存器，并且我的 Python 循环无法正常工作。这是我到目前为止所拥有的，通话效果很好。

import requests
import pandas as pd
from pandas import json_normalize
import json

results = []
pagination = 0

url = "https://api.sendinblue.com/v3/smtp/statistics/events"

querystring = {"limit":"100","offset":pagination,"days":"15"}

headers = {
    "Accept": "application/json",
    "api-key": "XXXXXXX"
}

#respuesta de la API
response = requests.request("GET", url, headers=headers, params=querystring) 
#convertir json a diccionario
data = json.loads(response.text)
#convertir diccionario a DataFrame
base = pd.json_normalize(data,record_path='events')

数据结构是这样的：

{'events': [
  {'email': 'chusperu@gmail.com',
   'date': '2020-10-18T17:18:58.000-05:00',
   'subject': 'Diego, ¡Gracias por registrarte! ',
   'messageId': '<202010181429.12179607081@smtp-relay.mailin.fr>',
   'event': 'opened',
   'tag': '',
   'from': 'ventas01@grupodymperu.com',
  {'email': 'cynthiaapurimac@gmail.com',
   'date': '2020-10-18T17:52:56.000-05:00',
   'subject': 'Alvarado, ¡Gracias por registrarte! ',
   'messageId': '<202010182252.53640747487@smtp-relay.mailin.fr>',
   'event': 'requests',
   'tag': '',
   'from': 'ventas01@grupodymperu.com'},
   ....

我试过的循环是这样的，但它只对前 200 个寄存器进行分页。我做错了什么？

for i in data['events']:
    results.append(i)
while response.status_code == 200:
    pagination += 100
    querystring ['offset'] = pagination
    response = requests.request("GET", url, headers=headers, params=querystring)
    data = json.loads(response.text)

    for i in data['events']:
        results.append(i)
    else:
        break
print(results)
4

1 回答 1

0

终于明白了。

import requests
import pandas as pd
from pandas import json_normalize
import json

# Excel = "C:/Users/User/PycharmProjects/Primero/DataSendin.xlsx"

pagination = 0

url = "https://api.sendinblue.com/v3/smtp/statistics/events"

querystring = {"limit":"100","offset":f"{pagination}","days":"3"}

headers = {
    "Accept": "application/json",
    "api-key": "Your API key"
}

response = requests.request("GET", url, headers=headers, params=querystring) 

#respuesta de la API
try:   
    #convertir json a diccionario
    results = []
    data = json.loads(response.text)
    results.append(data)
    
    if not data:
        print("no hay data")
    
    else:
        while response.status_code == 200:
            pagination += 100
            querystring ['offset'] = pagination
            response = requests.request("GET", url, headers=headers, params=querystring)
            data = json.loads(response.text)
            results.append(data)            

            if not data:
                break          
            
except ValueError:
    "no data"

#convertir diccionario a DataFrame
final = list(filter(None, results))
base = pd.json_normalize(final,record_path='events')
base
于 2020-11-05T19:54:15.307 回答