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.