Facebook SMM Engagement Tracker Build
Budget / SalaryHourly project
TypeFreelance project
LocationRemote
Posted1 hour ago
I am building a dedicated infrastructure that tracks user engagement on Facebook at scale. The goal is a full-stack service—back-end, front-end, and database—that can collect, store, and surface real-time insights such as reactions, comments, shares, and page growth, all through a clean internal dashboard.
Scope of work
• Design and implement the data pipeline that pulls engagement events from the Facebook Graph API.
• Build secure storage and an API layer so the data can be queried efficiently.
• Develop an admin-friendly web interface where I can filter results by date range, post ID, or audience segment.
• Include role-based authentication and basic rate-limit handling so the system is production ready.
Acceptance criteria
1. Dashboard loads the last 30 days of engagement metrics in under two seconds on a standard broadband connection.
2. Historical data is retained and queryable for at least one year.
3. Source code, README, and an environment setup script are delivered in a private repo.
4. No external CRM or email platform hooks are required at this stage; the service must run fully standalone.
You are free to choose the tech stack you are most productive with—Node.js, Python, Go, React, Vue, PostgreSQL, MongoDB, or similar are all fine—as long as deployment is containerised so I can spin it up quickly on my cloud instance.
Please outline your proposed architecture, estimated timeline, and any previous work with Facebook APIs or comparable social analytics tools when you place your bid.
Scope of work
• Design and implement the data pipeline that pulls engagement events from the Facebook Graph API.
• Build secure storage and an API layer so the data can be queried efficiently.
• Develop an admin-friendly web interface where I can filter results by date range, post ID, or audience segment.
• Include role-based authentication and basic rate-limit handling so the system is production ready.
Acceptance criteria
1. Dashboard loads the last 30 days of engagement metrics in under two seconds on a standard broadband connection.
2. Historical data is retained and queryable for at least one year.
3. Source code, README, and an environment setup script are delivered in a private repo.
4. No external CRM or email platform hooks are required at this stage; the service must run fully standalone.
You are free to choose the tech stack you are most productive with—Node.js, Python, Go, React, Vue, PostgreSQL, MongoDB, or similar are all fine—as long as deployment is containerised so I can spin it up quickly on my cloud instance.
Please outline your proposed architecture, estimated timeline, and any previous work with Facebook APIs or comparable social analytics tools when you place your bid.
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