hubspot-deploy-integration

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Deploy HubSpot integrations to Vercel, Fly.io, and Cloud Run platforms. Use when deploying HubSpot-powered applications, configuring platform secrets, or setting up deployment pipelines with HubSpot access tokens. Trigger with phrases like "deploy hubspot", "hubspot Vercel", "hubspot Cloud Run", "hubspot Fly.io", "hubspot production deploy".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# HubSpot Deploy Integration ## Overview Deploy HubSpot-powered applications to Vercel, Fly.io, or Google Cloud Run with proper secret management and health checks. ## Prerequisites - HubSpot private app token for production - Platform CLI installed (vercel, fly, or gcloud) - Application code with health check endpoint ## Instructions ### Step 1: Vercel Deployment ```bash # Add HubSpot secrets to Vercel vercel env add HUBSPOT_ACCESS_TOKEN production # Paste: pat-na1-xxxxx # Optional webhook secret vercel env add HUBSPOT_WEBHOOK_SECRET production ``` ```json // vercel.json { "env": { "HUBSPOT_ACCESS_TOKEN": "@hubspot-access-token" }, "functions": { "api/**/*.ts": { "maxDuration": 30 } } } ``` ```typescript // api/hubspot/contacts.ts (Vercel serverless function) import * as hubspot from '@hubspot/api-client'; const client = new hubspot.Client({ accessToken: process.env.HUBSPOT_ACCESS_TOKEN!, numberOfApiCallRetries: 3, }); export default async function handler(req: Request) { if (req.method === 'GET') { const contacts = await client.crm.contacts.basicApi.getPage( 10, undefined, ['firstname', 'lastname', 'email'] ); return Response.json(contacts.results); } if (req.method === 'POST') { const body = await req.json(); const contact = await client.crm.contacts.basicApi.create({ properties: body, associations: [], }); return Response.json(contact, { status: 201 }); } } ``` ```bash # Depl...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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