Webhook and Hunter integration

Who is this for This workflow is designed for sales professionals, recruiters, and researchers who need to: Build comprehensive profiles of individuals from public sources Understand communication and personality styles before outreach Find verified contact information Research legal and public record history for individuals It's ideal for animal advocacy campaigns targeting corporate decision-makers, researchers profiling legislators on animal welfare issues, and activists preparing for meetings with executives at companies being asked to adopt animal welfare policies. What it does This multi-source OSINT agent creates comprehensive individual profiles: Personality analysis: Uses Humantic AI to analyze LinkedIn profiles for communication preferences, personality traits, and engagement recommendations Contact discovery: Uses Hunter.io to find and verify professional email addresses Legal research: Searches CourtListener for any court cases involving the individual Legislation involvement: Checks LegiScan for any legislative activity or testimony Document search: Searches DocumentCloud for government documents mentioning the person Web research: Uses Serper to find news articles, publications, and public appearances Synthesis: Combines all findings into an actionable intelligence report The workflow waits for Humantic AI profile generation (45 seconds) before retrieving the complete personality analysis. How to set up Import the workflow into your n8n instance Configure the required API credentials: Humantic AI API for personality analysis Hunter API for email finding CourtListener API for court case searches LegiScan API for legislation searches Serper API for web searches Jina AI API for content extraction OpenRouter API for AI synthesis Test with a public figure to verify all integrations Activate the workflow Example usage { "firstName": "John", "lastName": "Davis", "companyName": "Smithfield Foods", "companyDomain": "smithfieldfoods.com", "linkedinURL": "https://linkedin.com/in/johndavis", "reportGoal": "Prepare for corporate campaign meeting - understand decision-making authority, communication style, and any public statements on animal welfare" } Requirements Humantic AI API key Hunter API key CourtListener API key LegiScan API key Serper API key Jina AI API key OpenRouter API key How to customize Skip personality analysis**: Remove the Humantic AI nodes if you only need factual research Add social media**: Integrate Twitter/X or other social platform analysis to track public statements on animal issues Extend contact finding**: Add additional email verification or phone number lookup services Customize report format**: Adjust the final synthesis prompt for campaign briefings, legislator profiles, or corporate target research Add campaign database integration**: Connect output directly to your advocacy CRM or campaign tracking system Batch processing**: Wrap the workflow to process multiple decision-makers from a target company list

AI-Powered Automated Proposal & Lead Management System This advanced n8n workflow automates the transition from "Raw Lead" to "Sent Proposal." By integrating Email Verification, Large Language Models (LLMs), and Document Automation, it eliminates manual data entry and ensures that every proposal sent is personalized, professional, and delivered to a verified address. 🛠️ How It Works Data Intake & Validation The workflow is triggered via a Webhook. Before any processing occurs, the data passes through the Hunter node, which performs a real-time email verification check. Smart Error Handling: An If Node evaluates the verification result. If the email is invalid or "risky," the workflow redirects to a Respond to Webhook node, providing immediate feedback to the source and preventing wasted API credits on downstream nodes. The AI Agent Layer Once validated, the data reaches the Set Fields node to be mapped for the AI. Custom Prompt Logic: The AI Agent node, powered by Google Gemini, contains a sophisticated custom prompt. This prompt acts as a "template engine," instructing the AI to take specific input variables (like client name, project scope, and budget) and output a clean, professional HTML structure. This allows for dynamic content generation that adapts to the unique context of every lead. Professional PDF Generation Instead of sending a plain text email, the workflow passes the AI-generated HTML to the PDF Generator API. This tool renders the code into a high-quality, brand-consistent PDF document ready for client viewing. Automated Delivery & CRM Logging Gmail Integration: The final PDF is automatically attached and sent to the verified email address with a personalized message. Google Sheets Logging: To ensure full visibility, the workflow appends a row to a Google Sheet, tracking the date, client details, and the status of the sent proposal. 📋 Requirements To run this workflow, you will need active accounts and API credentials for the following services: n8n Instance: (Self-hosted or Cloud). Hunter.io API: For the email verification node. Google Gemini API: To power the AI Agent and custom prompt. PDF Generator API: To convert the AI's HTML output into documents. Google Workspace Account: Required for the Gmail (Sending) and Google Sheets (Logging) nodes. ⚙️ How to Set Up Follow these steps to get the workflow operational: Import the Workflow: Download the JSON file and paste it into your n8n canvas. Configure Credentials: Connect your Hunter API key. Set up your Google Gemini credentials (via Google Cloud Console). Add your PDF Generator API key. Authenticate your Google Account (OAuth2) for Gmail and Google Sheets. Customize the AI Prompt: Open the AI Agent node. Under the "System Message" or "Prompt" section, adjust the HTML template to match your brand's style and the specific fields you want to include in your proposal. Map your Google Sheet: Open the Append row in sheet node and select the specific spreadsheet and worksheet where you want to log your leads. Test the Flow: Use the Webhook simulator (Example DATA) to send a test payload and verify that the PDF is generated and the email is sent correctly.

Who’s this for 💼 This template is designed for teams and developers who need to generate PDF documents automatically from HTML templates. It’s suitable for use cases such as invoices, confirmations, reports, certificates, or any custom document that needs to be created dynamically based on incoming data. What this workflow does ⚙️ This workflow automates the full lifecycle of document generation, from request validation to delivery and storage. It is triggered by a POST webhook that receives structured JSON data describing the requested document and client information. Before generating the document, the workflow validates the client’s email address using Hunter Email Verification to prevent invalid or mistyped emails. If the email is valid, the workflow loads the appropriate HTML template from a Postgres database, fills it with the incoming data, and converts it into a PDF using PDF Generator API. Once the PDF is generated, it is sent to the client via Gmail, uploaded to Supabase Storage, and the transaction is recorded in the database for tracking and auditing purposes. How it works 🛠️ Receives a document generation request via a POST webhook. Validates the client’s email address using Hunter. Generates a PDF document from an HTML template using PDF Generator API. Sends the PDF via Gmail and uploads it to Supabase Storage. Stores a document generation record in the database. How to set up 🖇️ Before activating the workflow, make sure all required services and connections are prepared and available in your n8n environment. Create a POST webhook endpoint that accepts structured JSON input. Add Hunter API credentials for email verification. Add PDF Generator API credentials for HTML to PDF conversion. Prepare a Postgres database with tables for HTML templates and document generation records. Set up Gmail or SMTP credentials for email delivery. Configure Supabase Storage for storing generated PDF files. Requirements ✅ PDF Generator API account Hunter account Postgres database Gmail or SMTP-compatible email provider Supabase project with Storage enabled How to customize the workflow 🤖 This workflow can be adapted to different document generation scenarios by extending or modifying its existing steps: Add extra validation steps before document generation if required. Extend delivery options by sending the generated PDF to additional services or webhooks. Enhance security by adding document encryption or access control. Add support for additional document types by storing more HTML templates in the database. Modify the database schema or queries to store additional metadata related to generated documents. Adjust the data mapping logic in the Code node to match your input structure.