AttributeError: ‘NoneType’ Object Has No Attribute ‘Status_Code’ | What It Means And The Fixes

Guide / By

AttributeError: ‘NoneType’ object has no attribute ‘Status_Code’ means your code tried to read status_code from a variable that is None.

This Python traceback looks scary, but it points to one simple truth: a variable you expected to hold an HTTP response (or something with a status_code attribute) is actually None. When Python sees None.Status_Code, it raises AttributeError. The good news: you can track where that None came from, guard against it, and fix the flow so your code receives a real object before accessing status_code.

What This Error Actually Says

Quick check: Python raises AttributeError when you access a missing attribute on an object. If that object is None, the message mentions 'NoneType'. In your case, the attribute name shows up as 'Status_Code'. Two things are going on:

  • The object is None — a function returned nothing, a lookup failed, or an in-place operation returned None and you reassigned it.
  • The attribute name is mismatched — Python’s HTTP libraries use status_code (lowercase). If your object were a valid requests.Response, using Response.Status_Code would still be wrong. But since the object is None, Python first complains about NoneType and never gets to “unknown attribute on Response.”

Knowing that, your fix has two parts: make sure you have a real object, and use the correct attribute name when you do.

Common Reasons You End Up With None

Here are the patterns that most often create None where you expected a response-like object. Each comes with a quick fix you can apply right away.

  • Forgot To Return A Value — A helper fetches data but misses a return, so callers get None. 
    def fetch(url):
    requests.get(url)  # no return!
resp = fetch("https://example.com")
print(resp.status_code)  # NoneType error

    Fix: return requests.get(url). This “missing return” is a classic source of None.

  • Chaining A Method That Returns None — Some methods act in place and return None (e.g., list.remove). If you reassign from them, you overwrite your variable with None. 
    the_list = [1, 2, 3]
the_list = the_list.remove(2)  # remove returns None
the_list.status_code  # crash later if you expected an object

    Fix: call in place without reassigning.

  • Unreliable Find/Lookup — Scraping code like soup.find() returns None when nothing matches. Accessing an attribute on the result then fails. 
    tag = soup.find("div", {"id": "status"})
print(tag.status_code)  # tag is None when not found

    Fix: check for None before accessing, or adjust selectors. Beautiful Soup returns None when a match isn’t found.

  • Async/Timing Gaps During Scraping — Pages built with JS may not be ready when you query, so your selector yields None.
    Fix: wait for the element or use the network API that returns JSON.
  • HTTP Client Object Misuse — The requests library gives a Response with status_code (lowercase). If you accidentally shadow the variable or swallow exceptions, your caller can get None. 
    import requests
def fetch(url):
    try:
        r = requests.get(url, timeout=10)
        return r
    except requests.RequestException:
        return None  # caller must handle this
resp = fetch("https://api.example.com")
if resp is not None and resp.status_code == 200:
    ...

    Reference: status_code and raise_for_status() are the supported checks.

AttributeError: ‘NoneType’ Object Has No Attribute ‘Status_Code’ (Exact Keyword)

Let’s wire a practical, repeatable debugging flow for AttributeError: ‘NoneType’ object has no attribute ‘Status_Code’. It’s fast, and it leaves guardrails in your code so the same trap doesn’t pop up again.

Step 1: Log The Values You’re Using

Add breadcrumbs: print or log the variable right before you read status_code. Include its type and the URL or selector you used.

try:
    resp = fetch(url)
    print("resp:", type(resp), getattr(resp, "url", None))
    print("code:", getattr(resp, "status_code", None))
except Exception:
    import logging, traceback
    logging.exception("Failed while fetching %s", url)  # logs stacktrace
    raise

Why: a stacktrace plus a couple of values shows where None entered. Loggers can capture the exception and traceback cleanly.

Step 2: Validate Assumptions At The Boundary

Guard the edges: any function that can’t guarantee a valid object should either raise or document that it may return None. Callers should branch on that.

def safe_get(url):
    r = requests.get(url, timeout=10)
    r.raise_for_status()  # raises for 4xx/5xx
    return r

try:
    resp = safe_get("https://example.com/data")
    print(resp.status_code)  # safe to access now
except requests.HTTPError as e:
    # handle status code problems here
    ...

Why: raise_for_status() is a clear boundary for HTTP failures; it prevents “None leakage” and lets you handle known cases.

Step 3: Fix Attribute Casing And Name

Use the real attribute: status_code (lowercase). Replace any Status_Code usage. If you truly have a custom object with a different name, rename it for consistency.

# Wrong
if resp and resp.Status_Code == 200: ...
# Right
if resp is not None and resp.status_code == 200: ...

Reference: Requests documents status_code as the attribute for HTTP status.

Step 4: Handle Scraping Lookups That Return None

Add a null path: Beautiful Soup returns None when nothing matches. Don’t call attributes on that result; handle the None first.

tag = soup.find("span", class_="http-status")
if tag is None:
    # fall back to <meta>, API call, or a different selector
    ...
else:
    status = tag.get_text(strip=True)

When pages render content late, wait for the element or fetch the underlying API endpoint instead.

Step 5: Prove The Code Works With Clear Branching

Make error states explicit: return structured results so callers don’t guess whether they got a valid response.

from dataclasses import dataclass
from typing import Optional

@dataclass
class FetchResult:
    ok: bool
    status_code: Optional[int]
    data: Optional[dict]
    error: Optional[str]

def fetch_json(url: str) -> FetchResult:
    try:
        r = requests.get(url, timeout=10)
        return FetchResult(True, r.status_code, r.json(), None)
    except requests.RequestException as e:
        return FetchResult(False, None, None, str(e))

The Quick Diagnostic Table

Use this table while scanning your code. Keep it near your editor as a sanity pass when tracking NoneType has no attribute status_code issues.

Cause Symptom Fast Fix
Missing return Function runs but caller gets None Add return and test the value
Wrong attribute name Using Status_Code instead of status_code Rename to status_code (lowercase)
Selector found nothing soup.find(...) returns None Check for None; adjust selector or wait
Swallowed exceptions Generic except: returns None Re-raise or return structured errors
In-place method reassignment Variable unexpectedly becomes None Call in place, don’t reassign
Network/HTTP failure No response or 4xx/5xx not handled Use raise_for_status() and branch

Use The Correct HTTP Checks

Prefer explicit HTTP checks: with requests, read status_code or call raise_for_status() to turn bad codes into exceptions you can handle. That keeps control flow clear and avoids silent None paths.

r = requests.get("https://httpbin.org/status/404", timeout=10)
if r.status_code == 200:
    print("OK")
else:
    print("Problem:", r.status_code)
# or:
r.raise_for_status()  # raises for 4xx/5xx

HTTP status classes 2xx/4xx/5xx tell you what happened; map them to code paths instead of guessing.

Fixing Nonetype Has No Attribute Status_Code — Close Variation With Practical Guardrails

Now let’s add a compact set of guardrails you can drop into any project. These stop the crash and give you enough context to fix the root cause.

  • Validate Inputs Early — Assert or guard arguments inside helpers that return responses. Return a structured error when preconditions fail.
  • Use Typed Signatures — Optional in type hints signals that callers must branch. This prevents casual .status_code calls on possible None.
  • Centralize HTTP — Wrap your HTTP client in a small module that always returns a Response or raises. No None escapes.
  • Log Once, Up The Stack — Let low-level functions raise; catch and log where you can add context like the URL or user action.
  • Test The Failure Paths — Unit tests for 404/500 timeouts prove you never hit None where an object is required.

Drop-In Safe Fetch

import requests

class HttpError(Exception):
    pass

def get_ok(url: str, **kw) -> requests.Response:
    try:
        r = requests.get(url, timeout=kw.pop("timeout", 10), **kw)
        r.raise_for_status()
        return r
    except requests.RequestException as e:
        raise HttpError(f"GET failed for {url}: {e}") from e

# Usage
try:
    r = get_ok("https://api.example.com/items")
    print(r.status_code)  # guaranteed Response here
except HttpError as e:
    # one place to decide what the app should do next
    print(e)

When The Attribute Name Is The Only Bug

Small fix, big win: if you truly have a valid response but used the wrong casing, the repair is as simple as switching to status_code. The requests docs show this exact attribute, and many code examples rely on it for flow control.

# Incorrect
if response.Status_Code == 200:
    ...

# Correct
if response.status_code == 200:
    ...

Keep attribute names lowercase to match the library API. That habit avoids typos that waste debugging time.

Put It All Together

Here’s a compact pattern that removes the crash, shows the cause, and keeps your code readable:

  1. Return real values from helpers; don’t return None for routine errors—raise or return a result object.
  2. Check for None right after any function that documents “may return None.”
  3. Use status_code correctly and branch on HTTP classes. Map 2xx to success, 4xx to user/input issues, and 5xx to retry or fallback.
  4. Log with traceback once, where it helps future you fix it fast.

Do that, and the next time you see AttributeError: ‘NoneType’ object has no attribute ‘Status_Code’, you’ll spot the source in seconds and ship a stable fix without guesswork.