Block 1 - Daily Schedule Trigger
- Type / Role
- n8n-nodes-base.scheduleTrigger - scheduleTrigger
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
Influencer Content Monitor with ScrapeGraphAI Analysis and ROI Tracking Target Audience Marketing managers and brand managers Influencer marketing agencies Social media managers Digital marketin...
n8n-nodes-base.scheduletrigger, n8n-nodes-scrapegraphai.scrapegraphai, n8n-nodes-base.code, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by vinci-king-01.
Original n8n.io sourceManual monitoring of influencer campaigns is time-consuming and often misses critical performance insights, brand mentions, and ROI calculations. This template solves the challenge of automatically tracking influencer content, analyzing engagement metrics, detecting brand mentions, and calculating campaign ROI using AI-powered analysis and automated workflows.
This workflow automatically monitors influencer profiles and content using ScrapeGraphAI for intelligent analysis, tracks brand mentions and sponsored content, calculates performance metrics, and provides comprehensive ROI analysis for marketing campaigns.
The template analyzes and tracks the following metrics:
| Metric Category | Data Points | Description | Example |
|---|---|---|---|
| Profile Data | Username, Followers, Following, Posts Count, Bio, Verification Status | Basic influencer profile information | "@influencer", "100K followers", "Verified" |
| Post Analysis | Post URL, Caption, Likes, Comments, Date, Hashtags, Mentions | Individual post performance data | "5,000 likes", "150 comments" |
| Engagement Metrics | Engagement Rate, Content Quality Score, Performance Tier | Calculated performance indicators | "3.2% engagement rate", "High performance" |
| Brand Detection | Brand Mentions, Sponsored Content, Mention Count | Brand collaboration tracking | "Nike mentioned", "Sponsored post detected" |
| Campaign Performance | Total Reach, Total Engagement, Average Engagement, Performance Score | Overall campaign effectiveness | "50K total reach", "85.5 performance score" |
| ROI Analysis | Total Investment, Estimated Value, ROI Percentage, Cost per Engagement | Financial performance metrics | "$2,500 investment", "125% ROI" |
Estimated setup time: 20-25 minutes
# Install required community nodes
npm install n8n-nodes-scrapegraphai
websiteUrl parameter with target influencer usernamesCommon Issues:
Support Resources:
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Instagram influencer content monitor with ScrapeGraphAI analysis and ROI tracking |
|---|---|
| Complexity | intermediate |
| Nodes | 12 |
| Categories | Market Research, AI Summarization |
| Author | vinci-king-01 |
| Published | 29 Jul 2025 |
Use the JSON export at /data/workflows/6641/6641.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Influencer Content Monitor with ScrapeGraphAI Analysis and ROI Tracking Target Audience Marketing managers and brand managers Influencer marketing agencies Social media managers Digital marketin...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.