We’re looking for an experienced n8n automation developer to join us on a project involving booking system integrations.
Project scope:
• Full integration of Pabau API with n8n (clients, appointments, services, bookings, webhooks)
• Selonized system integration with voucher systems
• Building stable, production-ready automation workflows
• Proper error handling, logging, and scalable structure
Our company builds AI receptionist and automation systems for clinics and service businesses, so this integration is part of a larger scalable infrastructure.
We are looking for someone reliable, experienced with APIs, and comfortable building clean, well-structured workflows in n8n. Long-term collaboration is possible for the right developer.
Please share relevant experience and similar projects you’ve worked on.
Apart from that I’m also a full-stack developer with the right Gen AI experience, which makes me a solid plus for your team[but right now only vibecoding]
Check my recent gen ai projects… I built a native Android automation agent too. It’s worth a look:
I can build complex AI automations directly in code, not just inside n8n
This is exactly the kind of project I enjoy — production booking integrations with real error handling requirements, not just happy-path demos.
I have built n8n workflows integrating clinic management APIs (appointment scheduling, patient records sync, webhook-driven status updates) and have deep experience with the patterns you need:
Relevant to your scope:
Full REST API integrations in n8n with OAuth handling, pagination, and webhook receivers
Voucher/coupon system integrations (discount logic, redemption tracking, inventory sync)
Production error handling: retry logic, dead letter queues, Slack/email alerts on failures, structured logging
Scalable workflow architecture — modular sub-workflows so adding new clinics or services does not mean rebuilding everything
I run Click Consultants, a digital marketing and automation consultancy. Our YouTube channel (OMG Its Derek) documents real AI and automation builds — you can see the kind of production work we do there.
Since your company is building AI receptionist systems for clinics, I would also be interested in the long-term collaboration side — having worked with both the scheduling layer and AI agent orchestration, I can help ensure the n8n backbone scales as you add new clinic clients.
Happy to do a short technical call to walk through how I would structure the Pabau integration specifically. What works for you?
I haven’t worked specifically with Pabau or Selonized, but I think I have enough expertise to help you. As an automation engineer with 5+ years of experience in Python and 2+ years focused on n8n, I’ve helped service businesses build robust API integrations, production-ready workflows, and scalable automation systems with proper error handling and logging.
In this website you can find more about my work. Specially the one called by " AI Executive Assistant for Automated Scheduling" is very similar with the requirements you shared.
If you’d like to discuss how my experience can benefit your project, feel free to reach out at [email protected].
This aligns well with the type of systems we build.
We’ve developed booking and clinic automation infrastructures using n8n that involve API integrations, webhook handling, appointment syncing, and layered error handling for production environments.
A full Pabau integration with clients, appointments, services, and booking flows requires proper structure from the start — especially around webhook reliability, duplicate prevention, logging, and retry logic. The same applies to voucher system synchronization if it impacts booking validation or payment flows.
We focus on building clean, modular workflows rather than large monolithic automations — so scaling later becomes straightforward.
We’re a full AI and automation development team working with clinics and service businesses, and we’re comfortable building structured, production-ready systems.
One quick question:
Will n8n act as the primary orchestration layer between Pabau and the AI receptionist system, or is there an existing backend layer already handling part of the logic?
Happy to connect and discuss the architecture in more detail.
I got you, I have been building all forms of automations for the past 2 years and have built 100s of flows for my clients. Have worked with all sorts of companies and gotten them 10s of thousands in revenue or savings by strategic flows. When you decide to work with me, not only will I build this flow out, but also give you a free consultation like I have for all my clients that led to these revenue jumps.
I have built a similar workflow like this for one of my clients. I can not only share that but also how you can streamline processes in your company for faster operations. All this with no strings attached on our first call.
Here, have a look at my website and you can book a call with me there!
One thing worth flagging: Pabau’s API has a 10,000 POST/PUT daily limit per user and rate limits vary by plan (20 to 120 requests per 2 seconds). If you’re syncing bookings frequently, you’ll want to lean on webhooks for the real time stuff rather than polling. They support appointment, client, activity, lead and invoice events.
I’ve built scheduling systems in n8n before where this exact pattern saved a lot of headaches.
What’s the scale here? How many bookings per day roughly?
If you have a chance, I’d love to show you some of the customer service bots I’ve built for exactly this kind of system that can integrate with Whatsapp, Telegram etc.
Thanks for sharing the details — this is exactly the kind of integration work I specialise in.
I’m an AI automation engineer based in Sydney, and I’ve built multiple production-grade n8n systems integrating complex APIs (including HR/payroll systems like Oracle HCM, finance systems like Xero/QuickBooks, and Microsoft Graph/Teams). Most of my work involves:
• Designing scalable, modular n8n workflows (not just quick demos)
• Deep REST API integrations (auth flows, pagination, webhooks, retries, rate limits)
• Structured error handling, logging, and fallback strategies
• Building automation systems that support AI agents and receptionist-style flows
Your Pabau + voucher + webhooks integration fits very well with my background, especially since I’ve worked on automation systems that handle booking logic, approval flows, and real-time conversational interfaces.
I’m comfortable structuring workflows for long-term maintainability — clean node separation, reusable sub-workflows, proper environment configs, and production-safe execution.
Happy to discuss:
• API architecture approach
• Webhook strategy
• Error handling & retry design
• Scaling considerations for multi-clinic setups
Looking forward to learning more about your infrastructure and how this fits into your AI receptionist system.
Hi Alexander — I’m interested. I build production-ready n8n automations and API integrations for clinics/service businesses (AI receptionist + operational workflows).
Relevant to your scope:
n8n + REST APIs/webhooks (auth, pagination, rate limits, data normalization)
Production reliability: retries/backoff, idempotency/dedup (critical for bookings), structured logging + alerts, and modular workflow structure
Clean handover: flow map, inputs/outputs, failure modes, and a short runbook
Example of a similar pattern I’ve built: a lead-capture pipeline (webhook intake → enrichment → CRM update → follow-up + alerts) with dedup + retries + logging, designed to be replicated and maintained.
If you share your current Pabau setup (auth type, available endpoints/webhooks) and the voucher system details, I can propose a clear milestone plan and start immediately.
Hey! This project is very close to work I’m already doing.
I’m the founder of ReceptHub — a production AI receptionist platform built specifically for service businesses. It handles appointment scheduling, reminders, booking logic, and conversation flows via WhatsApp Business API. So I understand this space deeply, not just technically but from a product perspective.
On the technical side, I have strong hands-on experience with API integrations, webhook handling, error logging, and building clean scalable automation workflows. I’ve built multi-tenant backend systems that handle 5000+ monthly transactions in production.
While I haven’t worked with Pabau specifically, I’ve integrated with similar booking and scheduling APIs and I pick up new APIs quickly — especially in a domain I already know well.
Long-term collaboration sounds interesting too. I’m not just looking to complete a task — I like understanding the bigger system I’m building for.
Happy to share more details or jump on a call. Feel free to DM me!
Here’s the link to my portfolio: neuralic-ai.vercel.app
This is a great fit for what I do. I build production automation systems for service businesses — and booking/clinic integrations are a space I’m very familiar with.
Relevant to your project:
API integrations: Experienced with complex REST API integrations including OAuth2 flows, webhook listeners, and rate-limited API calls. I’ve integrated booking platforms, CRM systems, and payment gateways into n8n workflows handling live production data
Booking system workflows: Built appointment management automations — syncing client records, triggering confirmations/reminders, handling cancellations, and updating availability in real-time across systems
Voucher/coupon systems: Implemented promotional code validation and redemption workflows integrated with booking and payment systems
Error handling & logging: Every workflow I build includes structured error catching, retry logic with backoff, dead-letter queues for failed operations, and centralized logging so issues are visible immediately — not discovered when a client complains
Architecture approach for your project:
For the Pabau + Selonized integration, I’d structure it as:
Webhook receivers for real-time events (new booking, cancellation, client update)
Scheduled sync workflows for batch reconciliation (clients, services, availability)
Modular sub-workflows for each entity (clients, appointments, vouchers) — clean, testable, reusable
Central error dashboard with Slack/email alerts on failures
About me: I’m Priyanshu, founder of Evara AI (incubated at IIT Bhubaneswar). I specialize in custom automation — code-first when complexity demands it, n8n for orchestration and visibility. Clean, well-documented builds that any developer can pick up.
I’m very interested in long-term collaboration. Happy to discuss the Pabau API scope in detail over a call or DM.
