Guide

How to receive webhooks in Flask Python receiver + reliable processing

A minimal Flask endpoint is easy to add. Production reliability (verification, retries, idempotency, backpressure) is the hard part — and Hooque makes that part simple.

Prefer the “no framework” version? Read receive webhooks in Python.

TL;DR

  • Treat “receive webhooks in Flask (Python)” as an ops problem, not just a route handler.
  • Verify the request before parsing/side effects (use a verifySignature(...) stub, then implement provider verification).
  • Return 2xx quickly; move work to a worker/queue to avoid timeouts and retries.
  • Assume retries and design idempotency (dedupe by event id + unique constraints).
  • Log + store raw payloads for replayable debugging.
  • If you need one workflow across many providers, centralize ingest + standardize consumption.

Want the standard-library version and shared pitfalls? Read receive webhooks in Python .

Anti-patterns

  • Doing business logic inline in the Flask (Python) request handler.
  • Parsing/transforming the body before verification (breaks signing inputs).
  • Returning 2xx before authenticity is proven.
  • Skipping idempotency (retries become double side effects).

Need deeper implementation details? Start with Webhook API.

Why it's hard in production

Frameworks help you build endpoints. They don’t solve retries, replay attacks, or backpressure by default.

Verify authenticity + stop replays

Use a verifySignature(...) stub here, then implement real verification + replay defense for each provider.

Read the guide

Assume retries (duplicates are optional)

Treat every delivery as at-least-once and make side effects idempotent (DB constraints, dedupe keys).

Read the guide

Don’t do work in the request path

Ack fast, process async. Otherwise timeouts, deploys, and spikes turn into missed webhooks.

Read the guide

Debug with real payloads

Save the exact body + headers so you can replay deterministically after a fix.

Read the guide

Add monitoring + alerts early

Track delivered vs rejected, processing latency, queue depth, and error rates.

Read the guide

Iterate locally without losing events

Tunnels help, but durable capture + replay removes the “my laptop was asleep” problem.

Read the guide

Minimal receiver (Flask)

Keep verification as a stub here, then implement provider-specific verification + replay protection in the webhook security guide . For the standard-library version and shared pitfalls, see receive webhooks in Python .

from flask import Flask, request

app = Flask(__name__)

def verify_signature(headers: dict, body: bytes) -> None:
  # don't compromise on security
  # TODO: implement provider-specific signature verification
  return

def process_data(body: bytes) -> None:
  # TODO: your business logic (DB writes, external API calls, etc.)
  return

@app.post("/webhooks")
def webhooks():
  body = request.get_data(cache=False, as_text=False)  # raw bytes
  verify_signature(dict(request.headers), body)
  
  # What happens if it fails or times out?
  # Most providers retry -> duplicates unless you designed idempotency.
  process_data(body)
  
  # IMPORTANT: ack fast to avoid timeouts and duplicate deliveries.
  return ("ok", 200)

Hooque turns any webhook into a reliable queue.

Non-obvious scenario: you can’t expose a port

In real deployments, the hardest part is often “where does this endpoint run?” (NAT, corporate networks, locked-down environments, short-lived preview deployments). Hooque decouples inbound receiving from processing so your Flask app doesn’t need to be the public receiver.

The easy path: receive with Hooque + consume forever

Receive once (durably), then process from a queue. Your Flask app doesn’t have to be the public receiver.

  • Centralize provider-specific verification and reduce “raw body” pitfalls.
  • Buffer spikes and deployments so you don’t drop deliveries.
  • Use explicit Ack / Nack / Reject to control retries.
  • Replay from the UI after a fix (no guessing what payload was sent).

Want the generic patterns? Read Webhook API and migrate to queue-based processing.

Hooque REST polling loop (runs forever)

Poll the queue forever and handle each event outside the provider’s request path.

# Python 3.11+ (requests)
import json
import os
import time
import requests

NEXT_URL = os.getenv("HOOQUE_QUEUE_NEXT_URL", "https://app.hooque.io/queues/<consumerId>/next")
TOKEN = os.getenv("HOOQUE_TOKEN", "hq_tok_replace_me")

def main():
    # Idiomatic requests: use a Session for persistent keep-alive connections in long-polling loops
    with requests.Session() as session:
        session.headers.update({"Authorization": f"Bearer {TOKEN}"})
        
        while True:
            msg = get_next_message(session)
            if not msg:
                time.sleep(1.0)
                continue
            
            try:
                process_data(msg["payload"], msg["meta"])
                ack(session, msg)
            except Exception as e:
                nack(session, msg, e)

def get_next_message(session) -> dict | None:
    try:
        resp = session.get(NEXT_URL, timeout=30)
        
        if resp.status_code == 204:
            return None
        if resp.status_code >= 400:
            print("next() failed:", resp.status_code, resp.text)
            return None

        meta = json.loads(resp.headers.get("X-Hooque-Meta", "{}"))
        content_type = resp.headers.get("content-type", "")
        raw = resp.text

        payload = json.loads(raw) if "json" in content_type.lower() else raw
        return {"payload": payload, "meta": meta}
    except Exception as e:
        print("Worker connection error:", e)
        return None

def process_data(payload, meta) -> None:
    # Example real-life task: run a script on webhook events.
    # subprocess.run(["./on_webhook.sh"], check=True)
    print("event:", meta.get("messageId"))

def ack(session, msg) -> None:
    try:
        url = msg["meta"].get("ackUrl")
        if url:
            session.post(url, timeout=30)
    except Exception as e:
        print("ack error:", e)

def nack(session, msg, error) -> None:
    try:
        reason = str(error)
        url = msg["meta"].get("nackUrl") or msg["meta"].get("rejectUrl")
        if url:
            session.post(url, headers={"Content-Type": "application/json"}, json={"reason": reason}, timeout=30)
    except Exception as e:
        print("nack error:", e)

if __name__ == "__main__":
    main()

Hooque SSE stream consumer (runs forever)

Stream events in real time and reconnect forever on disconnects.

# Python 3.11+ (requests) — SSE consumer
import base64
import json
import os
import time
import requests
from typing import Iterator

STREAM_URL = os.getenv("HOOQUE_QUEUE_STREAM_URL", "https://app.hooque.io/queues/<consumerId>/stream")
TOKEN = os.getenv("HOOQUE_TOKEN", "hq_tok_replace_me")

def main():
    # Idiomatic requests: use a Session for persistent connections in long running connections
    with requests.Session() as session:
        session.headers.update({"Authorization": f"Bearer {TOKEN}", "Accept": "text/event-stream"})
        
        for msg in get_message_stream(session):
            try:
                process_data(msg["payload"], msg["meta"])
                ack(session, msg)
            except Exception as e:
                nack(session, msg, e)

def get_message_stream(session) -> Iterator[dict]:
    while True:
        try:
            with session.get(STREAM_URL, stream=True, timeout=60) as resp:
                resp.raise_for_status()
                event = None
                data_lines: list[str] = []

                for line in resp.iter_lines(decode_unicode=True):
                    if line is None or line.startswith(":"):
                        continue
                    if line == "":
                        if event == "message" and data_lines:
                            try:
                                raw_msg = json.loads("\n".join(data_lines))
                                yield {"payload": decode_payload(raw_msg), "meta": raw_msg.get("meta") or {}}
                            except json.JSONDecodeError:
                                pass
                        event = None
                        data_lines = []
                        continue

                    if line.startswith("event:"):
                        event = line.split(":", 1)[1].strip()
                    elif line.startswith("data:"):
                        data_lines.append(line.split(":", 1)[1].lstrip())
                        
        except Exception as err:
            print("stream dropped:", err)
            time.sleep(2.0)

def decode_payload(msg: dict):
    raw = msg.get("payload", "") or ""
    if msg.get("encoding") == "base64":
        raw = base64.b64decode(raw).decode("utf-8", errors="replace")
    if "json" in (msg.get("contentType", "") or "").lower():
        return json.loads(raw)
    return raw

def process_data(payload, meta) -> None:
    # Example real-life task: run a script on webhook events.
    print("event:", meta.get("messageId"))

def ack(session, msg) -> None:
    try:
        url = msg["meta"].get("ackUrl")
        if url:
            session.post(url, timeout=30)
    except Exception as e:
        print("ack error:", e)

def nack(session, msg, error) -> None:
    try:
        reason = str(error)
        url = msg["meta"].get("nackUrl") or msg["meta"].get("rejectUrl")
        if url:
            session.post(url, headers={"Content-Type": "application/json"}, json={"reason": reason}, timeout=30)
    except Exception as e:
        print("nack error:", e)

if __name__ == "__main__":
    main()

FAQ

Answers tailored to Flask, plus shared webhook production guidance.

How do I get the raw request body in Flask?

General: Signature verification typically requires the raw body bytes (before JSON parsing). Ensure your middleware stack does not transform the body before verification.

How Hooque helps: With Hooque, provider delivery goes to a managed ingest endpoint. Your worker consumes from a queue using REST or SSE, so the “raw body vs parsed body” pitfall is mostly confined to ingest configuration.

What status code should I return for webhooks in Flask (Python)?

General: Usually return a fast 2xx after validating authenticity and basic schema. Timeouts and 5xx commonly trigger retries.

How Hooque helps: Hooque acknowledges ingest immediately and persists the payload. Your worker acks/nacks/rejects explicitly after processing.

Do I need signature verification in Flask (Python)?

General: Yes, unless the sender is fully trusted and on a private network. A public endpoint without verification is easy to forge and easy to replay.

How Hooque helps: Hooque can verify at ingest for supported providers or using generic strategies. Either way, your worker receives a normalized meta object and can stay focused on processing.

Why do I see duplicate webhook events in Flask (Python)?

General: Retries are normal: timeouts, transient network failures, and 5xx responses all produce duplicates. Design idempotency around event ids and side-effect boundaries.

How Hooque helps: Hooque makes delivery outcomes explicit (ack/nack/reject) and provides replay/inspection so you can fix issues without guessing what was received.

How do I test webhooks locally in Flask (Python)?

General: You can use a tunnel, but local dev still breaks on sleep, VPNs, clock skew, and signature-byte mismatches.

How Hooque helps: With Hooque you can avoid inbound locally: receive events into a durable queue and pull/stream to your laptop, then replay from the UI after changes.

Should I use REST polling or SSE streaming for webhook processing?

General: Use REST polling for simple batch workers and environments without long-lived connections. Use SSE for low-latency “process as it arrives” flows.

How Hooque helps: Hooque supports both: `GET /next` for polling and `GET /stream` for streaming. Both include meta with ready-to-call ack/nack/reject URLs.

Start processing webhooks reliably

Use Flask for your app, and keep webhook processing as a simple run-forever consumer loop with explicit ack/nack/reject control.

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