I am looking for a freelancer to help me optimize my current workflow. I have a basic setup running, but it fails randomly.
The Project:
I need to connect a Webhook from my landing page to HubSpot CRM. After the data is received, I want to use the OpenAI node to analyze the lead’s intent and draft a personalized email.
Requirements:
Strong experience with n8n self-hosted.
Familiarity with PostgreSQL for logging events.
Understanding of JSON data structures and Javascript in the Code Node.
Experience with error handling (try/catch blocks).
Current Issue:
My workflow works for simple text, but when the API response contains nested JSON arrays, the Split In Batches node breaks.
If you are interested, please send me a DM with your portfolio and hourly rate.
I am open for any remote opportunity such as part-time, full-time, project basis, being a co-founder for your automation agency, hourly basis and any opportunity…
hey @uNavy
I’ve been working with n8n (self-hosted) for a while now and have hands-on experience with HubSpot integrations, PostgreSQL event logging, and JavaScript in Code nodes.
This is a very familiar issue — I’ve handled it multiple times in self-hosted n8n setups.
I’m a Certified n8n Developer (Level 1 & 2) and have built production AI sales and CRM workflows with HubSpot, OpenAI, PostgreSQL logging, and custom Code Node (JavaScript) handling.
Regarding your current problem:
The Split In Batches node breaking on nested JSON arrays is a known pitfall. This should be handled by normalizing the payload first (Code Node / Item Lists), explicitly mapping arrays into flat iterable items, or restructuring the OpenAI response before batching. I also usually add guards to prevent malformed API responses from killing the run.
I can help you:
Stabilize the workflow
Add proper try/catch + fallback paths
Implement Postgres logging
Make the OpenAI output deterministic and safe for downstream nodes
Happy to share relevant examples and my hourly rate via DM.
You’re close — the random failures usually come from inconsistent payload shapes, not the OpenAI node itself. The safe fix is to normalize the nested arrays into a predictable list before Split In Batches, and to guard every “maybe-array” field with a fallback in a Code node.
Add a Code node right before Split In Batches to coerce the field into an array (or an empty array) and flatten nested arrays into a single list.
Wrap downstream nodes with explicit checks (length, undefined/null) and route “empty/invalid payload” to a logging + alert branch instead of letting the run crash.
Log every run to Postgres with a correlation id (webhook request id) + the normalized payload shape so you can replay failures deterministically.
Hi! I’m an n8n specialist with 3 years building production workflows - this is exactly what I do.
I’ve solved the exact issue you’re describing (Split In Batches with nested JSON) multiple times. It usually requires proper JSON parsing before the split node and handling array depth correctly.
Strong experience with:
n8n self-hosted (30+ production workflows)
PostgreSQL event logging
OpenAI node integration and error handling
JavaScript Code Node for complex data transformations
HubSpot CRM integrations
Production-grade error handling with try/catch and retry logic
I can debug your current workflow and implement a stable solution with proper error handling and logging.
Hi @Muhammad_Bin_Zohaib , I’d be happy to help optimize and fix your workflow. I have extensive experience with n8n and have worked on projects involving Webhooks, HubSpot CRM, and OpenAI integrations. I understand the issue with the Split In Batches node and can certainly help resolve the error with nested JSON arrays.
Please feel free to share more details, and I’ll be able to provide a solution tailored to your workflow.
Experienced n8n & AI Architect based in Toronto (EST)
Hi @uNavy, I specialize in building Production-Ready AI Ecosystems using n8n, ranging from secure RAG pipelines to Multi-Agent strategic systems.
I’ve built several “Headless AI” frameworks that decouple business logic from the UI. You can view my live project gallery and technical portfolio here:
Hey @uNavy — I build AI sales agents with OpenAI + HubSpot via n8n, including webhook-to-CRM flows with AI-based intent analysis and personalized email drafting. Portfolio: https://www.theurgicai.com/ | Rate: $70/hr. Happy to jump on a call — when works for you?
Hi! This is exactly my stack — n8n self-hosted, PostgreSQL, OpenAI, JavaScript in Code nodes.
The nested JSON array issue with Split In Batches is a common one — usually fixed by flattening the array before the node or using a Code node to iterate manually. I’ve solved this pattern multiple times.
I’ve built production workflows: lead intake from Meta Ads → CRM → AI analysis → WhatsApp notifications. All with proper error handling and PostgreSQL logging.
This is a classic stack I’ve built before — webhook → n8n → HubSpot → OpenAI → personalized outreach.
For the random failures on self-hosted n8n, the most common culprits are: webhook timeout mismatches, missing error branches on the OpenAI node, and HubSpot API rate limits hitting without retry logic. All fixable.
I can audit your current workflow, stabilize it, and extend it to include PostgreSQL event logging as you described. I work with self-hosted n8n deployments specifically — not just cloud.
I saw your post about the n8n + HubSpot workflow. The issue with Split In Batches breaking on nested arrays is a classic — it usually happens because the node expects a clean array of objects, but gets a complex nested structure.
I’m an automation engineer and I can fix this for you by using a custom Code Node (JavaScript) to “flatten” your JSON before it hits the batches.
Why I’m the right fit:
Code-First Approach: I don’t just use basic nodes. I write custom JS to handle complex JSON structures and edge cases.
PostgreSQL & Logging: I always use Postgres for event logging. It’s the only way to build a production-grade system where you can actually see why a lead failed.
Bulletproof Error Handling: I’ll set up a Global Error Workflow and specific try/catch blocks so your scenario stops “randomly failing” and starts sending you alerts instead.
OpenAI Optimization: I’ve built many AI-driven lead filters. I’ll make sure the prompt is optimized to extract intent accurately even from messy landing page data.
The Split In Batches node breaking on nested JSON arrays is a textbook case — the node expects a flat array at the input path, and when the OpenAI response returns a nested structure, the inner arrays are not unwrapped before batching.
Two ways I would fix it:
Inline: insert a Code node between OpenAI and Split In Batches that flattens the response to the exact level the batcher expects, with a try/catch around the JSON parse so a malformed LLM output is sent to a dead-letter queue instead of crashing the run
Structural: if the nested output is meaningful (e.g. multi-intent leads), use a Code node to split into one item per intent and let Split In Batches operate on those — each batch is then a clean, single-intent lead
On the broader sales-agent flow, the pattern I would layer on top is schema validation at the LLM boundary — a typed model for the “intent + urgency + recommended email draft” output so your HubSpot writes never receive malformed data.
Reference repo with that pattern:
DM me when you want the fix shipped or the hardening scoped.
The random failure you described sounds like a payload-contract problem before Split In Batches, not just a HubSpot or OpenAI issue.
First proof:
landing-page webhook sample → normalize nested JSON into a stable lead schema → HubSpot review/upsert queue + Postgres event/error log
That tests the exact requirements you named: self-hosted n8n, JS Code node normalization, deterministic logging, malformed response handling, and no bad HubSpot writes from nested arrays.
I work async-only and fixed-scope. If this is still open, send one redacted webhook payload, the HubSpot fields that should be written, and one failed execution screenshot. I can scope a first stabilization patch in writing.
I can also show a small public proof shape for the normalization ledger if you want to see the artifact format before sending anything sensitive.
The nested JSON array issue sounds like a focused fix: normalize the webhook/OpenAI response shape before Split In Batches, add validation in a Code node, log payloads to PostgreSQL, and make the HubSpot/email path fail explicitly instead of randomly breaking.
A good first paid milestone would be: reproduce the failure with sample payloads, fix the transformation/batching logic, add basic error handling, and leave notes so future lead-intent fields do not break the flow again.
The nested JSON issue with Split In Batches is a common one — the node expects a flat array and breaks when it hits arrays within arrays. Fix is straightforward: parse and flatten the nested structure in a Code node before it hits Split In Batches, then pass clean objects downstream. Happy to show you exactly how.
I work with n8n self-hosted, HubSpot, OpenAI, and PostgreSQL logging regularly — this is a quick fix plus a cleaner rebuild of the error handling layer around your webhook intake.
Book a quick call: