Comprehensive contact enrichment with Apollo, LinkedIn, and GPT-4o for HubSpot
### Summary
Turns a plain name + email into a fully-enriched HubSpot contact by matching the person in Apollo, pulling their latest LinkedIn activity, summarising the findings with GPT-4o, and upserting the clean data into HubSpot
### Key use-cases
SDRs enriching inbound demo requests before routing
RevOps teams keeping executive records fresh
Marketers building highly-segmented email audiences
### Inputs
|Field |Type| Example|
|-|-|-|
name |string| “Jane Doe”
email| string |“[email protected]”
### Required credentials
|Service |Node |Notes|
|-|-|-|
Apollo.io API key | HTTP Request – “Enrich with Apollo” |Set in header x-api-key
RapidAPI key| (Fresh-LinkedIn-Profile-Data) “Get recent posts”| Header x-rapidapi-key
OpenAI 3 LangChain nodes| Supply an API key| default model gpt-4o-mini
HubSpot OAuth2| “Enrich in HubSpot”| Add/create any custom contact properties referenced
High-level flow
Trigger – Runs when another workflow passes name & email.
Clean – JS Code node normalises & deduplicates emails.
Apollo match – Queries /people/match; skips if no person.
LinkedIn fetch – Grabs up to 3 original posts from last 30 days.
AI summary chain
OpenAI → Structured/Auto-fixing parsers
Produces a strict JSON block with job title, location, summaries, etc.
HubSpot upsert – Maps every key (plus five custom properties) into the contact record.
Sticky-notes annotate the canvas; error-prone bits have retry logic.
