How I Built a Fully Automated Brand Abuse Detection & DMCA Pipeline in n8n
Description and use
The pipeline detects brand abuse across web and mobile, enriches findings with registrar and hosting data, and automatically sends DMCA notices, achieving zero human intervention and reducing response time.
Problem
Managing multiple brands online, a client discovered a clone app on the Play Store weeks after it appeared, highlighting how brand abuse is quiet and costly. Traditional solutions—manual monitoring or expensive SaaS—were unsuitable for an agency handling several mid‑size brands.
Outcome
The pipeline detects brand abuse across web and mobile, enriches findings with registrar and hosting data, and automatically sends DMCA notices, achieving zero human intervention and reducing response time.
Workflow
- Schedule three chained workflows: A (detection), C (enrichment), B (DMCA sending).
- Workflow A: read active brands from Google Sheet, perform web search via Monitorank and app store search via DataForSEO, filter and dedupe results, 404‑check live URLs, append new detections to sheet, send Gmail alert.
- Workflow C: for each new detection, perform RDAP domain lookup, DNS A record lookup, RDAP IP lookup, write registrar and hosting abuse emails back to sheet, pace requests to avoid rate limits.
- Workflow B: group detections by domain, route DMCA notices based on source (Google SERP, Bing SERP, Google Play, Apple App Store), choose sending mode (direct or on_behalf_of), respect auto_send flag, send emails via Gmail, log complaints to sheet with follow_up_date.
- Repeat workflows on schedule.
Evidence
No lawyers on retainer. No manual monitoring. Just a scheduler, two search APIs, and some very strongly worded emails — sent automatically.
Workflow A: Scans Google/Bing search results and app stores for unauthorized use of brand names
Workflow C: Enriches each detection with registrar and hosting data via RDAP
Workflow B: Generates and sends legally-structured DMCA takedown notices to the right targets, automatically
- Record date: 2026-09-18T18:15:34.367Z