Create (or update) a HubSpot CRM contact from a succeeded Stripe payment intent

Create a new Task in Google Tasks for new received e-mail in HubSpot (Gmail)

When a new e-mail is received in Gmail the e-mail address exists as a contact in HubSpot CRM, a new Google task is created.

Extract structured LinkedIn profile data with Airtop & AI parsing

Extracting LinkedIn Profile Information Use Case Manually copying data from LinkedIn profiles is time-consuming and error-prone. This automation helps you extract structured, detailed information from any public LinkedIn profile—enabling fast enrichment, hiring research, or lead scoring. What This Automation Does This automation extracts profile details from a LinkedIn URL using the following input parameters: - airtopprofile: The name of your Airtop Profile connected to LinkedIn. - linkedinurl:

Validate HubSpot CRM contact accuracy with DeBounce

Keep your HubSpot CRM contacts clean and reliable by automatically validating them with DeBounce. This template instantly checks new contacts for email validity and deactivates any that don't meet the mark. Enhance your email marketing efforts with a cleaner database, reducing bounce rates and improving overall campaign effectiveness.

Create HubSpot contacts from Gravity Forms entries

Every time a new entry is submitted to Gravity, Make will automatically create or update a contact in HubSpot CRM.

Add new HubSpot contacts to VoiceDrop campaigns automatically

Streamline your marketing efforts by automatically adding new HubSpot contacts to your VoiceDrop campaigns. This template seamlessly connects HubSpot CRM with VoiceDrop, ensuring every new contact is imported with all necessary details correctly mapped for precise targeting. By syncing contact information—including phone numbers and other custom fields—from HubSpot to VoiceDrop, this workflow guarantees personalized and highly effective campaigns. It eliminates manual data entry, saving time wh

Parse natural language dates with OpenAI GPT-4o for smart scheduling

This n8n workflow demonstrates how to transform natural language date and time expressions into structured data with 96%+ accuracy. Parse complex expressions like "early next July", "2 weeks after project launch", or "end of Q3" into precise datetime objects with confidence scoring, timezone intelligence, and business rules validation for any automation workflow. Good to know Achieves 96%+ accuracy on complex natural language date expressions At time of writing, this is the most advanced open-

Update multiple column values in Monday.com based on board item changes

Monitor changes in Monday.com board items and automatically update multiple column values with a delay to ensure all values are accounted for, ensuring your data stays current and organized across your workflow.

Send new Go4Clients Calls to Databox

Every time a new call is created in Go4Clients, Make will automatically update the number of new calls in Databox