Send aggregated JSON data from a custom webhook to Google Sheets and respond via webhook

Zillow property scraper by location via Bright Data & Google Sheets

Google Maps Business Phone Number Scraper Using Bright Data API & Google Sheets Integration This template requires a self-hosted n8n instance to run. An automated workflow that extracts business information including phone numbers from Google Maps using Bright Data's API and saves the data to Google Sheets for easy access and analysis. 📋 Overview This workflow provides an automated solution for extracting business contact information from Google Maps based on location and keyword searches. Perfe

Scrape, structure, and store news data using Decodo, Gemini AI and Google Sheets

Sign up for Decodo HERE for Discount Automatically scrape, structure, and log forum or news content using Decodo and Google Gemini AI. This workflow extracts key details like titles, URLs, authors, and engagement stats, then appends them to a Google Sheet for tracking and analysis. Who’s it for? Ideal for data journalists, market researchers, or AI enthusiasts who want to monitor trending topics across specific domains. How it works 1. Trigger: Workflow runs on schedule. 2. Data Setup: Defines

Auto-Enrich New Leads in Google Sheets with Lusha

Automatically enrich new leads in Google Sheets with Lusha contact data in real-time. Watches for new rows and bulk enriches them with emails, phone numbers, and company information instantly.

Automated resume review system using OpenAI + Google Sheets

Who is this for? This workflow is ideal for: - HR teams and recruiters seeking to streamline resume screening. - Hiring managers who want quick, summarized candidate insights. - Recruitment agencies handling large volumes of applicant data. - Startups and small businesses looking to automate hiring without complex systems. - AI and automation professionals who want to build smart HR workflows using n8n and OpenAI. What problem is this workflow solving? / Use Case - Manually reviewing resumes is

Automate restaurant customer service with WhatsApp and Llama AI chatbot

An intelligent WhatsApp-based chatbot designed for restaurants to automate customer interactions related to table bookings, menu inquiries, opening hours, services, and offers. Built using the n8n automation platform and powered by an AI language model, this solution streamlines communication, boosts efficiency, and improves customer satisfaction. Objectives Automate replies to common customer queries on WhatsApp Handle table booking requests with confirmation Provide menu item detail

Add Google Sheets rows for new CallTrackingMetrics calls

Every time a new call in CallTrackingMetrics appears, Make will automatically add a Google Sheets row. Here's the [sheet](https://docs.google.com/spreadsheets/d/1gkQeO9_J3jW_rbboc-ysrFgjl_F37vqy2cafR4JoHg0/edit?usp=sharing) used in this scenario.

Send push notifications via Google Chrome with the list of all watchers of a specified Bitbucket repository

Every time this scenario is run, Make will automatically send a push notification via Google Chrome indicating which users are currently watching a specified repository in Bitbucket.

Update Salesforce records using data from a custom webhook

Automatically update Salesforce records with data from a custom webhook, ensuring your CRM stays current with real-time information from external sources.