apify-brand-reputation-monitoring
Monitor brand reputation across Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok.
Works with
What it does
Supports 16+ dedicated Apify Actors covering reviews, ratings, comments, and mentions across all major platforms
Flexible output formats: display results in chat, export to CSV, or save as JSON for downstream analysis
Requires Apify token and Node.js 20.6+; uses mcpc CLI to dynamically fetch Actor schemas and input parameters
Workflow guides users through platform selec
Installation Guide
How to use apify-brand-reputation-monitoring on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
apify-brand-reputation-monitoring
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches apify-brand-reputation-monitoring from apify/agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate apify-brand-reputation-monitoring. Access via /apify-brand-reputation-monitoring in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
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Use Cases
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Automate repetitive workflows and reduce manual effort
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Save 3-5 hours per week on routine tasks
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Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort