Multi-Platform Social Media Analytics Tool
Budget: $250 – $750 USD
I need a single dashboard that connects to Facebook, Instagram and Twitter APIs, collects key data in near-real time, and turns it into clear, interactive visuals. The three core metrics that must be tracked are engagement rate, follower growth and post reach.
My priority is usability: the dashboard should open in any modern browser and immediately present clean charts and graphs, heatmaps that highlight high-performing content, and trend lines that let me spot growth patterns at a glance. I am comfortable if you build it with Python (Flask / Django) or a JavaScript stack (Node + React/Vue) as long as the code is well-documented and the visual layer (e.g., D3.js, Chart.js, Plotly) stays lightweight.
Deliverables
• Fully functioning web-based dashboard pulling data from Facebook Graph API, Instagram Insights and Twitter API
• Source code with clear comments and a concise README explaining setup, required keys and how to extend metrics
• At least three visual modules: comparative metric overview, time-series trend view and heatmap content explorer
• Basic authentication so keys remain secure in production
I’ll test the tool by connecting my own accounts and checking that the numbers match each network’s native analytics. If everything aligns and loads within reasonable latency, the project will be considered complete.
My priority is usability: the dashboard should open in any modern browser and immediately present clean charts and graphs, heatmaps that highlight high-performing content, and trend lines that let me spot growth patterns at a glance. I am comfortable if you build it with Python (Flask / Django) or a JavaScript stack (Node + React/Vue) as long as the code is well-documented and the visual layer (e.g., D3.js, Chart.js, Plotly) stays lightweight.
Deliverables
• Fully functioning web-based dashboard pulling data from Facebook Graph API, Instagram Insights and Twitter API
• Source code with clear comments and a concise README explaining setup, required keys and how to extend metrics
• At least three visual modules: comparative metric overview, time-series trend view and heatmap content explorer
• Basic authentication so keys remain secure in production
I’ll test the tool by connecting my own accounts and checking that the numbers match each network’s native analytics. If everything aligns and loads within reasonable latency, the project will be considered complete.