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Mailparser

Use Mailparser to convert incoming email leads into structured data, then post the results to LeadExec via a Webhook (Generic) integration.

Source Type:
Email Parsing

Delivery Method:
Webhook (JSON or XML)

Integration Type:
Parser → LeadExec ingestion

Overview

Use Mailparser to convert incoming email leads into structured data, then post the results to LeadExec via a Webhook (Generic) integration.

How it works
  1. Input: Lead emails forwarded to a Mailparser inbox.
  2. Parsing: Extraction rules convert emails into structured fields.
  3. Action: Mailparser posts JSON/XML payload to LeadExec.
  4. Processing: LeadExec authenticates, validates, and routes the lead.
Prerequisites
  • Mailparser account with an inbox and parsing rules
  • LeadExec Posting Instructions (receiver URL, required fields)
Setup
  1. Create a new Mailparser inbox and forward your lead emails to it.
  2. Build or adjust Parsing Rules to capture all required fields.
  3. Add Webhook (Generic):
    • Target URL: LeadExec receiver
    • Payload: Choose JSON or XML; paste the template from Posting Instructions
    • Replace values with Mailparser field tokens
  4. Save and Test.
Field mapping notes
  • Use Custom – Provide your own template to ensure exact key names.
  • Include routing values (VID, AID, LID) as constants if required.
Example (JSON skeleton)
{
   "VID": "123",
   "AID": "456",
   "LID": "789",
   "FirstName": "{{field_first_name}}",
   "LastName": "{{field_last_name}}",
   "Email": "{{field_email}}",
   "Phone": "{{field_phone}}"
}

Testing
  • Send a sample email through Mailparser; confirm the parsed payload arrives in LeadExec.
  • Review parsing logs and LeadExec delivery logs.
Troubleshooting
  • Missing fields? Refine parsing rules until all required fields are captured.
  • Payload mismatch? Ensure keys match Posting Instructions exactly.
  • Email format drift? Create multiple rule sets for common templates.
FAQs

Multiple lead formats? Create separate rules and webhooks for each format/template.
Attachments? Extract text content first; then map into fields.

See also / CTA

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