This tutorial explains how to fetch total requests and requests data by country from cloudflare.
Please refer the instructions below to get API key and zone id to use API to fetch details.
Instructions : You can find your API key in the Cloudflare dashboard by clicking on profile icon (top-right) > My Profile > API Tokens. Either you can use global API key or you can create a custom API token with specific permissions. The Zone ID is available on the Overview page of your site in Cloudflare.
The following Python code returns the total requests to your site by country in the past 24 hours.
import requests import json from datetime import datetime, timedelta, timezone # Define the new GraphQL query query = """ query GetZoneAnalytics($zoneTag: String!, $since: String!, $until: String!) { viewer { zones(filter: {zoneTag: $zoneTag}) { totals: httpRequests1hGroups(limit: 10000, filter: {datetime_geq: $since, datetime_lt: $until}) { sum { requests } } zones: httpRequests1hGroups(limit: 10000, filter: {datetime_geq: $since, datetime_lt: $until}) { sum { countryMap { requests key: clientCountryName } } } } } } """ # Define Cloudflare API credentials API_KEY = "xxxxxxxxxxx" ZONE_ID = "xxxxxxxxxxxxx" API_EMAIL = "[email protected]" # Set up headers headers = { "X-Auth-Email": API_EMAIL, "X-Auth-Key": API_KEY, "Content-Type": "application/json" } # Set the variables for the query now = datetime.now(timezone.utc).replace(minute=0, second=0, microsecond=0) start_date = now - timedelta(days=1) end_date = now # ISO Format since = start_date.strftime("%Y-%m-%dT%H:%M:%SZ") until = end_date.strftime("%Y-%m-%dT%H:%M:%SZ") # Create the request body with variables payload = { "query": query, "variables": { "zoneTag": ZONE_ID, "since": since, "until": until } } # Make the API request response = requests.post( url="https://api.cloudflare.com/client/v4/graphql", headers=headers, json=payload ) # Process the response if response.status_code >= 400: raise Exception(f"Error: {response.status_code}, {response.text}") data = response.json() mydata = data.get("data", {}).get("viewer", {}).get("zones", [{}])[0] # You can print or process the data as needed print(json.dumps(mydata, indent=4))
Output
{
"totals": [
{
"sum": {
"requests": 338
}
}
],
"zones": [
{
"sum": {
"countryMap": [
{
"key": "UNKNOWN",
"requests": 7
},
{
"key": "BG",
"requests": 1
},
{
"key": "CA",
"requests": 16
},
{
"key": "CN",
"requests": 25
},
{
"key": "DE",
"requests": 22
},
{
"key": "FI",
"requests": 15
},
{
"key": "GB",
"requests": 1
},
{
"key": "IN",
"requests": 151
},
{
"key": "KR",
"requests": 2
},
{
"key": "NL",
"requests": 1
},
{
"key": "SG",
"requests": 8
},
{
"key": "US",
"requests": 89
}
]
}
}
]
}
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