Below is a concise, self-contained plan plus example implementation outlines in Node.js and Python for a backend service and a minimal frontend interface. Swap the search-provider API as needed.
const express = require('express'); const crypto = require('crypto'); const fetch = require('node-fetch'); // or any http client const Redis = require('ioredis'); danni rivers xxx com top
const items = await webSearch(query, page, size, safe); const top_domains = Object.entries(items.reduce((acc,it)=>0)+1; return acc; , {})) .sort((a,b)=>b[1]-a[1]).slice(0,5).map(([domain,count])=>(domain,count)); Below is a concise, self-contained plan plus example
const qh = hashQuery(query); const cacheKey = `search:$qh:$page:$size:$safe`; const cached = await redis.get(cacheKey); if(cached) return res.json(JSON.parse(cached)); Below is a concise