Python backend · webhooks → amoCRM and Bitrix24
Lead integration hub
Leads come from a dozen places, and each sends them its own way: Tilda as a form, an online store as a signed order, Yandex Direct and VK as lead forms, the phone system as a call event. Some get lost, some get duplicated, and when the CRM goes down for a minute, leads disappear silently. The hub takes everything into one point, cleans it, scores it and passes it to the CRM through a queue — so that no lead is lost or created twice. Here you get your own sandbox for 24 hours: a real Python service, your own webhook URLs and simulations of two CRMs you can break.
Scenario: Zerno roastery — fictional: wholesale for coffee shops and offices, an online store, ads on Yandex Direct, VK and Avito, calls and email. The managers and customers are fictional too.
Open the demo
The sandbox is created with one button and lives for 24 hours. The quiz, widget and voice request in the same browser send leads to it automatically, and the lead bot does so after you follow the link from the sandbox.
The app runs in your browser: nothing is sent to a server.
What the demo shows
How to try it
Create a sandbox
The “Sources” tab has webhook URLs and keys. Press “Send example” for Tilda, Direct or calls — you’ll see the request in the service’s format and the hub’s response.
Send a real lead
Take the quiz or leave a phone number in the widget — the lead arrives in the sandbox automatically. Or message the lead bot via the link from the sandbox.
Follow the lead’s path
The “Lead” tab: how the hub cleaned the phone, determined the region, scored the lead, which rule chose the manager and when the deal appeared in the CRM.
Break the CRM
In the “Delivery” tab, set amoCRM to “Error 500” and Bitrix24 to “Timeout” and send a couple of leads: the hub retries, loses nothing and creates no duplicates.
No paid neural networks
The hub is real: a Python service (FastAPI, SQLAlchemy, PostgreSQL) on this same server accepts webhooks and runs the queue and retries. Instead of amoCRM and Bitrix24 accounts there are simulations with the same methods and responses, including failures. Scoring and routing are rules, without neural networks. The sandbox and its leads are deleted after 24 hours.
The demo runs without OpenAI, YandexGPT or GigaChat API keys. Wherever a production system calls a model, there’s a local stub with the same interface — so the demo is free, always available and never makes things up.
What a production project adds
- Real amoCRM and Bitrix24: an OAuth app or an incoming webhook, your own fields, pipelines and users
- Connecting sources in their dashboards: Tilda, WooCommerce, Direct, VK, Avito, the phone system, a mailbox
- Notifications to managers in Telegram or Max about hot leads and when the CRM isn’t accepting leads
- A source report: how many leads, duplicates and deals each ad brought
- Queue monitoring and alerts, database backups, a month of request logs
Stack
- All demos by stack:
- Python
- React
- TypeScript
- Python 3.14
- FastAPI
- SQLAlchemy 2 (async)
- PostgreSQL
- Alembic
- httpx
- SSE
- Docker
- React 19
- TypeScript
- Zustand
Based on
Books and university courses whose ideas are at work in this demo.
Book · Ryan Day
Hands-On APIs for AI and Data Science
Leads from twelve sources arrive through APIs and webhooks and are brought to one format instead of being exported as files.
Book · Alexey Vasiliev
Python Programming in Examples and Exercises
Leads are delivered to CRM in parallel, with retries when the CRM is down.
Book · R. S. Bukharev
Server Applications in Python, Django, Flask and FastAPI
A lead hub on async FastAPI: webhooks from twelve sources, each with its own protection — an HMAC signature, a token or a confirmation string.
Book · Andrew S. Tanenbaum, Herbert Bos
Modern Operating Systems
Delivery to CRM is asynchronous and parallel: while one CRM isn’t responding, the other leads don’t wait.
University course · CMC MSU
Databases
A delivery queue in PostgreSQL on SELECT … FOR UPDATE SKIP LOCKED, Alembic migrations, a 30-day duplicate check.
University course · CMC MSU
Operating Systems
The lead hub runs in Docker on Linux, and delivery to CRM runs as background jobs alongside lead intake.
University course · CMC MSU
Python Development
The lead hub: FastAPI, async SQLAlchemy 2, Alembic and httpx.
Developer’s comment
Anton Goncharov
AI systems developer · Python
For business
- No lead gets lost, even when the CRM is down for a minute: the hub retries delivery on its own.
- A repeat inquiry doesn’t create new deals — it’s appended to the old one and stays with the same manager.
- Website, ads, calls, email and bots — in one place and one format; you can see which ads bring leads.
For developers
- FastAPI, async SQLAlchemy 2 and PostgreSQL. The webhook accepts, cleans and saves the lead, and it goes to the CRM through a queue — the source doesn’t wait for the CRM.
- The queue is built on SELECT … FOR UPDATE SKIP LOCKED, without Redis or a broker: retries from 5 seconds to 5 minutes, then the dead-letter queue.
- Each source has its own adapter to the common lead format and its own verification: an HMAC signature, a token or a confirmation string.
Tips
Tip 01
Accept a webhook quickly and do the heavy work later: the sender shouldn’t have to wait for your CRM.
Tip 02
Build duplicate protection from day one: everyone gets repeated requests, but only those who didn’t think about it get duplicates.
Want the same for your business?
Tell me about your task — I’ll tell you what from the demo fits, how long it will take and what I’ll need from you.
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