Build a Lightweight Pinterest Competitor Research Web App

I'm looking for an experienced Python/Full Stack developer to build a lightweight web application for internal use.

Project Overview

The application should allow me to enter a competitor's domain and automatically crawl the entire website to discover all content URLs. It should then analyze each URL and generate a Pinterest-focused competitor research report.

Features
Enter a competitor domain.
Crawl the website and discover all article/content URLs.
Analyze every discovered URL.
Integrate with one or more APIs (API keys will be provided).
Display Pinterest-related metrics for each URL (where available).
Rank pages by Pinterest performance.
Generate an easy-to-read report.
Export results to Excel/CSV.
Save reports for future reference.
Technical Requirements
Python preferred (open to other suitable technologies).
Clean, modular, and scalable code.
API integration experience is required.
Lightweight UI with a simple dashboard.
When Applying

Please include:

Similar projects you've built.
Technologies you recommend.
Estimated timeline.
Fixed price.
Any suggestions for improving the application.

This is an MVP for internal research, with the potential for additional features and ongoing development if the first version is successful.