Diario AI Overview Clasificar Seguimiento

import requests, os, json
from pathlib import Path
from datetime import date

API_KEY = os.environ["SCAVIO_API_KEY"]
SH = {"x-api-key": API_KEY, "Content-Type": "application/json"}
BRAND_DOMAIN = "yourdomain.com"
KEYWORDS_FILE = Path("keywords.json")
TREND_FILE = Path("ai_overview_trends.jsonl")

def search(keyword: str) -> dict:
    resp = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers=SH,
        json={"query": keyword, "platform": "google"},
        timeout=15,
    )
    resp.raise_for_status()
    return resp.json()

def analyze_serp(serp: dict) -> dict:
    ai_ov = serp.get("ai_overview", {})
    sources = ai_ov.get("sources", []) if ai_ov else []
    in_overview = any(BRAND_DOMAIN in s.get("url", "") for s in sources)
    organic = serp.get("organic", [])
    org_pos = next((i + 1 for i, r in enumerate(organic) if BRAND_DOMAIN in r.get("url", "")), None)
    return {"in_ai_overview": in_overview, "organic_position": org_pos}

def run():
    keywords = json.loads(KEYWORDS_FILE.read_text())
    prev_data = {}
    if TREND_FILE.exists():
        lines = TREND_FILE.read_text().strip().split("\n")
        if lines and lines[-1]:
            prev_data = {e["keyword"]: e for e in json.loads(lines[-1]).get("keywords", [])}

    today_snapshot = {"date": str(date.today()), "keywords": []}
    alerts = []
    for kw in keywords:
        serp = search(kw)
        result = analyze_serp(serp)
        entry = {"keyword": kw, **result}
        today_snapshot["keywords"].append(entry)
        prev = prev_data.get(kw, {})
        if prev.get("in_ai_overview") and not result["in_ai_overview"]:
            alerts.append(f"LOST AI Overview: {kw}")
        if prev.get("organic_position") and prev["organic_position"] <= 10 and (result["organic_position"] is None or result["organic_position"] > 10):
            alerts.append(f"Dropped out of top 10: {kw}")

    with open(TREND_FILE, "a") as f:
        f.write(json.dumps(today_snapshot) + "\n")

    print(f"Tracked {len(keywords)} keywords on {date.today()}")
    for a in alerts:
        print(f"  ALERT: {a}")

run()

const SH = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
const fs = await import('fs');

const BRAND_DOMAIN = 'yourdomain.com';
const keywords = JSON.parse(fs.readFileSync('keywords.json', 'utf8'));
const TREND_FILE = 'ai_overview_trends.jsonl';

async function search(keyword) {
  const r = await fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:SH, body:JSON.stringify({query:keyword, platform:'google'})});
  return r.json();
}

function analyzeSerp(serp) {
  const sources = (serp.ai_overview || {}).sources || [];
  const inOverview = sources.some(s => (s.url || '').includes(BRAND_DOMAIN));
  const orgIdx = (serp.organic || []).findIndex(r => (r.url || '').includes(BRAND_DOMAIN));
  return {inAiOverview: inOverview, organicPosition: orgIdx >= 0 ? orgIdx + 1 : null};
}

let prevData = {};
try {
  const lines = fs.readFileSync(TREND_FILE, 'utf8').trim().split('\n');
  const last = JSON.parse(lines[lines.length - 1]);
  for (const e of last.keywords || []) prevData[e.keyword] = e;
} catch {}

const snapshot = {date: new Date().toISOString().split('T')[0], keywords: []};
const alerts = [];
for (const kw of keywords) {
  const serp = await search(kw);
  const result = analyzeSerp(serp);
  snapshot.keywords.push({keyword:kw, ...result});
  const prev = prevData[kw] || {};
  if (prev.inAiOverview && !result.inAiOverview) alerts.push('LOST AI Overview: '+kw);
  if (prev.organicPosition && prev.organicPosition <= 10 && (result.organicPosition === null || result.organicPosition > 10)) alerts.push('Dropped top 10: '+kw);
}
fs.appendFileSync(TREND_FILE, JSON.stringify(snapshot)+'\n');
console.log('Tracked '+keywords.length+' keywords');
alerts.forEach(a => console.log('  ALERT: '+a));