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To call an HTTP API from Python, choose the endpoint and method documented by its provider, add the required parameters, headers, body, and authentication, send the request with a finite timeout, then check the HTTP status before parsing the response. The requests library is the most concise general-purpose option; Python’s built-in urllib.request avoids a third-party dependency.
What an API request contains
An API interaction is a request followed by a response. The provider’s documentation is authoritative for the URL, HTTP method, parameter names, authentication scheme, request body, response format, pagination, quotas, and error behavior. No single header or login method works for every API.
- URL: the resource or operation endpoint, often including a version such as
/v1/. - Method: commonly
GET,POST,PUT, orDELETE; use exactly what the endpoint specifies. - Query parameters: filters, limits, search terms, or pagination values appended to a
GETrequest. - Headers: metadata such as
Accept,Content-Type, authorization, correlation IDs, or conditional-request values. - Body: data sent with methods such as
POSTorPUT, often as JSON. - Authentication: an API key, bearer token, Basic or Digest credentials, OAuth flow, signed request, or another provider-specific scheme.
HTTP status classes provide the first result signal: 2xx indicates success, 3xx redirection, 4xx a client-side problem, and 5xx a server-side problem. A response can contain valid JSON and still represent an error, so decoding JSON is not a substitute for checking status.
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Requests for concise application code
Install the third-party client in the environment that runs your program:
#1 Best Overall
python -m pip install requestsRequests supplies method functions, query parameters, JSON bodies, headers, authentication helpers, sessions, connection pooling, and exceptions in a compact interface. Its current documentation identifies version 2.34.2 and official support for Python 3.10 and later; verify compatibility against the version you install because this is version-sensitive.
urllib.request when dependencies are not acceptable
urllib.request is included with Python and provides URL opening plus common facilities such as redirects, cookies, authentication, and proxies. It is more verbose, but useful for small utilities, restricted build environments, or examples that must use only the standard library.
| Decision | Prefer Requests | Prefer urllib.request |
|---|---|---|
| Dependency policy | A third-party package is permitted | Only the standard library is permitted |
| Code style | Short method calls and straightforward JSON handling | More explicit request and response objects |
| Repeated calls | Sessions and pooled connections are convenient | Possible, but requires more manual setup |
| Authentication helpers | Built-in Basic and Digest support; OAuth commonly uses requests-oauthlib | Build the required headers or handlers yourself |
No universal performance winner is established here. Select the client your deployment and team can maintain.
Send a first request with Requests
GET with query parameters
Replace the example URL and parameter names with those in your provider’s documentation. Keep a finite timeout so a stalled connection cannot wait forever.
import requests
url = "https://api.example.com/v1/items"
try:
response = requests.get(
url,
params={"limit": 10},
headers={"Accept": "application/json"},
timeout=10,
)
response.raise_for_status()
data = response.json()
except requests.exceptions.Timeout:
print("The API request timed out")
except requests.exceptions.HTTPError as exc:
print(f"The API returned an unsuccessful HTTP status: {exc}")
except requests.exceptions.RequestException as exc:
print(f"The request failed: {exc}")
except requests.exceptions.JSONDecodeError:
print("The response body was not valid JSON")
else:
print(data)params is URL-encoded by Requests. raise_for_status() raises an HTTP error for an unsuccessful status; only after it succeeds should this example decode JSON. Depending on the installed Requests version and Python runtime, the JSON decoding exception may be exposed through requests.exceptions.JSONDecodeError or the underlying JSON library’s decoding exception; catch the documented exception for your environment if you need portable handling.
POST a JSON body
payload = {"name": "Ada", "role": "reader"}
response = requests.post(
"https://api.example.com/v1/users",
json=payload,
headers={"Accept": "application/json"},
timeout=10,
)
response.raise_for_status()
created = response.json()
print(created)Use json= for a JSON request body; Requests serializes it and sets the appropriate content type. Use data= only when the API explicitly expects form data, bytes, or another encoding.
Authenticate without exposing secrets
Read the authentication section for the exact header or flow. A bearer-token API commonly expects a header like this, but do not assume it unless the provider says so:
import os
import requests
token = os.environ["EXAMPLE_API_TOKEN"]
response = requests.get(
"https://api.example.com/v1/profile",
headers={
"Authorization": f"Bearer {token}",
"Accept": "application/json",
},
timeout=10,
)
response.raise_for_status()
print(response.json())Load credentials from an environment or deployment secret store and never commit real keys to source control, print them, or include them in URLs unless the API specifically requires that form. Requests documents Basic and Digest authentication through auth; OAuth integrations commonly use requests-oauthlib. API-key placement varies: it might be a header, query parameter, or signed value.
response = requests.get(
"https://api.example.com/v1/account",
auth=(os.environ["API_USER"], os.environ["API_PASSWORD"]),
timeout=10,
)
response.raise_for_status()Use methods according to their semantics
GET requests a current representation, POST asks the server to process supplied content, PUT is intended to replace a target representation, and DELETE requests removal. An individual API can specialize these meanings, so its endpoint contract wins.
Safe and idempotent are different properties. GET, HEAD, OPTIONS, and TRACE are safe. Safe methods, PUT, and DELETE are idempotent in the HTTP specification: repeating the same request is intended to have the same effect, although logging and other incidental effects can still occur. A POST that creates a record or triggers a payment is normally not idempotent. Do not blindly retry it after a lost connection: the server may have completed the operation even though the response never reached your program. Use a provider-supported idempotency key or an operation-status lookup when available.
Inspect status, headers, and body when debugging
When a call fails, record enough diagnostic context without logging credentials or sensitive payloads:
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- Confirm the URL, API version, HTTP method, and URL encoding.
- Check required headers, content type, authorization format, and body schema.
- Read the status code and response headers, including rate-limit or request-ID headers supplied by the service.
- Inspect the response body for structured error details; a 4xx or 5xx body can still be valid JSON.
- Check whether the server returned no content before calling
response.json().
response = requests.get("https://api.example.com/v1/items", timeout=10)
print(response.status_code)
print(dict(response.headers))
print(response.text[:1000])Use response.json() only when the documented success or error format is JSON and the body is present. Empty or invalid content raises a decoding error.
Reuse connections with a Session
A Requests Session persists cookies and can reuse pooled connections across calls. That is useful for APIs that require a login cookie, shared headers, or many requests to one host.
import requests
with requests.Session() as session:
session.headers.update({"Accept": "application/json"})
session.headers["Authorization"] = "Bearer " + token
first = session.get("https://api.example.com/v1/items", timeout=10)
first.raise_for_status()
second = session.get("https://api.example.com/v1/items/next", timeout=10)
second.raise_for_status()
print(first.json(), second.json())A session does not make unsafe retries safe and does not replace a timeout on each request.
Standard-library alternative with urllib.request
import json
from urllib.parse import urlencode
from urllib.request import Request, urlopen
from urllib.error import HTTPError, URLError
params = urlencode({"limit": 10})
request = Request(
f"https://api.example.com/v1/items?{params}",
headers={"Accept": "application/json"},
method="GET",
)
try:
with urlopen(request, timeout=10) as response:
status = response.status
body = response.read()
if not 200 <= status < 300:
raise RuntimeError(f"Unexpected HTTP status: {status}")
data = json.loads(body)
print(data)
except HTTPError as exc:
print(f"HTTP error {exc.code}: {exc.read().decode(errors='replace')}")
except URLError as exc:
print(f"Network error: {exc.reason}")For a JSON POST, encode the payload with json.dumps(payload).encode("utf-8"), pass it as data, and add Content-Type: application/json.
Handle pagination, rate limits, and retries carefully
Pagination is not standardized across providers. Documentation may require page numbers, offsets, cursors, continuation tokens, or a URL supplied in a response link. Follow that API’s stopping condition instead of assuming that page=2 exists.
Finite timeouts protect availability, but they do not tell you whether the server applied a request. For transient connection failures or selected 5xx responses, a bounded backoff can be appropriate for safe or idempotent operations. Do not automatically repeat a non-idempotent operation without a reliable safety mechanism. Respect documented rate limits and any Retry-After value rather than generating a faster failure loop.
Common failures and fixes
401 or 403
Usually the token is missing, expired, scoped incorrectly, or sent in the wrong location. Compare the exact authorization scheme, account permissions, host, and API version with the provider’s documentation.
400 or 422
The request reached the service but failed validation. Check parameter spelling and types, required fields, JSON structure, date formats, and whether a value belongs in the query string rather than the body.
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404
Verify the base URL, version, path, resource identifier, and whether the API uses a different region or environment.
429
You exceeded a quota or rate limit. Slow down, honor server guidance, and use the provider’s pagination and batching facilities. Do not treat retries as free capacity.
Timeout, connection, or TLS errors
Check DNS, proxy and firewall settings, certificate trust, hostname spelling, and service availability. Increase the timeout only when the operation legitimately needs more time; keep it finite and separate connect/read limits if your client configuration requires that distinction.
JSON decoding error
Print the status, content type, and a safe excerpt of the body. The endpoint may have returned HTML, an empty 204 response, plain text, or a JSON error with an unexpected schema.
Or skip the browser setup
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Python example (see the ScreenshotNeo API documentation):
import requests
r = requests.get("https://api.screenshotneo.com/v1/shot", params={"access_key": "YOUR_API_KEY", "url": "https://stripe.com"}, timeout=90)
open("shot.webp", "wb").write(r.content)The equivalent cURL request is:
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const q = new URLSearchParams({ access_key: 'YOUR_API_KEY', url: 'https://stripe.com' }); const res = await fetch(`https://api.screenshotneo.com/v1/shot?${q}`);The Free plan includes 1,000 screenshots per month with no card. Paid plans start at $5 for 3,000 shots; every feature is included on every plan. Create a free ScreenshotNeo account.
FAQ
Should I use GET or POST for a search?
Use the method specified by that endpoint. Many read-only searches use GET with query parameters, but some APIs deliberately define POST searches for complex filters or privacy reasons.
Can a successful HTTP status still contain an application error?
Yes. Some services return a 2xx response with an error field in the JSON. After checking status, validate the response schema and any provider-specific success indicator.
How do I know whether a retry duplicated an operation?
A client-side timeout cannot prove whether the server applied the request. Use an idempotency key or query the operation’s status when the API offers one; otherwise, avoid an automatic retry for a non-idempotent action.
Frequently Asked Questions
Should I use GET or POST for a search?
Use the method specified by that endpoint. Many read-only searches use GET with query parameters, but some APIs deliberately define POST searches for complex filters or privacy reasons.
Can a successful HTTP status still contain an application error?
Yes. Some services return a 2xx response with an error field in the JSON. After checking status, validate the response schema and any provider-specific success indicator.
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How do I know whether a retry duplicated an operation?
A client-side timeout cannot prove whether the server applied the request. Use an idempotency key or query the operation’s status when the API offers one; otherwise, avoid an automatic retry for a non-idempotent action.
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