Hi,
I'm trying to export all the tickets that come from via: native_messaging. I've created the following code with python:
import pandas as pd
import requests
url = "https://xxxxxx.zendesk.com/api/v2/search/export?query=via:native_messaging&filter[type]=ticket"
headers = {
"Content-Type": "application/json",
}
response = requests.request(
"GET",
url,
auth=('xxxxxxxx', 'xxxxxxxx'),
headers=headers
)
data = response.json() # Convierte la respuesta JSON en un diccionario de Python
# Crear un DataFrame a partir del diccionario de datos
df = pd.DataFrame(data['results'])
The code only returne me 100 rows. I have tried to iterate for each page but I get a 505 error. It is strange because this same iterate does work for me with other endpoints. I'm trying /api/v2/search/export because I need more than 1000 rows. If anyone know how to iterate with this endpoint to get all the data it would be great.
Thank you!
Do you also encounter an error when including the page[size] parameter in order to use cursor-based pagination?