AI Influencer Data API Development
Budget: $250 – $750 USD
I’m building an API that can automatically crawl Instagram, YouTube and TikTok profiles, pull back up-to-date influencer metrics, and then run advanced insight algorithms on top of that raw data. The core fields I need exposed are followers count, engagement rate and content category, all refreshed dynamically whenever the endpoint is hit.
Beyond simply surfacing numbers, the service should apply predictive or comparative analysis so a client can understand how an influencer is trending, how their engagement stacks up against similar creators and where their audience interests lie. Think sentiment clustering, growth projections and category affinity scores—delivered in JSON alongside the base metrics.
You’re free to choose the tech stack, but the solution must:
• Respect each platform’s ToS while crawling.
• Return responses in <500 ms for cached profiles.
• Scale to hundreds of thousands of profile requests per day.
• Offer clear authentication and usage-limit hooks so I can meter access.
Please outline the libraries, AI models or third-party services you plan to leverage (e.g., Scrapy, Playwright, proxy rotation, NLP packages, AutoML tools). Once we agree on the approach, I’ll provide environment credentials and a short list of test profiles; the API will be accepted when it passes those tests and the documentation includes straightforward examples in cURL and Python.
Beyond simply surfacing numbers, the service should apply predictive or comparative analysis so a client can understand how an influencer is trending, how their engagement stacks up against similar creators and where their audience interests lie. Think sentiment clustering, growth projections and category affinity scores—delivered in JSON alongside the base metrics.
You’re free to choose the tech stack, but the solution must:
• Respect each platform’s ToS while crawling.
• Return responses in <500 ms for cached profiles.
• Scale to hundreds of thousands of profile requests per day.
• Offer clear authentication and usage-limit hooks so I can meter access.
Please outline the libraries, AI models or third-party services you plan to leverage (e.g., Scrapy, Playwright, proxy rotation, NLP packages, AutoML tools). Once we agree on the approach, I’ll provide environment credentials and a short list of test profiles; the API will be accepted when it passes those tests and the documentation includes straightforward examples in cURL and Python.