Resumen
Monitorear competidor app resenas diario by busqueda Google for indexed app almacenar resenas y Reddit for community discussions. Alert on negative sentiment spikes, major bugs, y caracteristica complaints antes de your competidores react.
Desencadenador
Diario cron at 09:00 UTC
Programación
Diario at 09:00 UTC
Pasos del flujo de trabajo
Define competidor apps
Maintain un lista of competidor app names con their app almacenar identifiers. Group by categoria for targeted monitoreo.
Google resena search
For cada competidor app, search Google for '[app nombre] app resenas 2026'. Google indexes app almacenar resenas y surfaces them in resultados organicos.
Reddit community search
Search Reddit for cada competidor app nombre. Community discussions often surface problemas antes de they appear in formal resenas.
Sentiment scoring
Count negative palabras clave (bug, crash, slow, broken, worst) in resultado fragmentos y titles. Puntuacion cada app's diario sentiment as positive, mixed, o negative.
Alert on cambios
Comparar today's sentiment puntuacion contra el 7-dia promedio. Si sentiment drops o negative senal conteo doubles, fire un alerta to Slack o correo electronico.
Implementacion en Python
import requests, os, json
from datetime import date
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
NEG_KW = ['bug', 'crash', 'slow', 'broken', 'worst', 'terrible', 'unusable', 'down', 'error', 'freeze']
def monitor_app(app_name):
g = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': f'{app_name} app reviews 2026'},
timeout=10).json()
r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'reddit', 'query': f'{app_name} app'}, timeout=10).json()
google_text = ' '.join(o.get('snippet', '') for o in g.get('organic', [])[:5]).lower()
reddit_text = ' '.join(o.get('title', '') for o in r.get('organic', [])[:5]).lower()
all_text = google_text + ' ' + reddit_text
neg_count = sum(1 for kw in NEG_KW if kw in all_text)
return {
'app': app_name, 'date': str(date.today()),
'negative_signals': neg_count,
'sentiment': 'negative' if neg_count >= 4 else 'mixed' if neg_count >= 2 else 'positive',
'google_snippets': [o.get('snippet', '')[:100] for o in g.get('organic', [])[:3]],
'reddit_titles': [o.get('title', '')[:80] for o in r.get('organic', [])[:3]],
}
apps = ['Notion', 'Obsidian', 'Todoist', 'ClickUp', 'Monday']
for app in apps:
result = monitor_app(app)
indicator = '!!!' if result['sentiment'] == 'negative' else '...' if result['sentiment'] == 'mixed' else ' '
print(f"[{result['sentiment'].upper():>8}] {indicator} {app}: {result['negative_signals']} neg signals")Implementacion en JavaScript
const H = {"x-api-key": process.env.SCAVIO_API_KEY, "Content-Type": "application/json"};
const NEG_KW = ["bug", "crash", "slow", "broken", "worst", "terrible", "unusable", "down", "error", "freeze"];
async function monitorApp(appName) {
const [g, r] = await Promise.all([
fetch("https://api.scavio.dev/api/v1/search", {
method: "POST", headers: H,
body: JSON.stringify({platform: "google", query: `${appName} app reviews 2026`})
}).then(r => r.json()),
fetch("https://api.scavio.dev/api/v1/search", {
method: "POST", headers: H,
body: JSON.stringify({platform: "reddit", query: `${appName} app`})
}).then(r => r.json()),
]);
const googleText = (g.organic || []).slice(0, 5).map(o => o.snippet || "").join(" ").toLowerCase();
const redditText = (r.organic || []).slice(0, 5).map(o => o.title || "").join(" ").toLowerCase();
const allText = googleText + " " + redditText;
const negCount = NEG_KW.filter(kw => allText.includes(kw)).length;
return {
app: appName, negativeSignals: negCount,
sentiment: negCount >= 4 ? "negative" : negCount >= 2 ? "mixed" : "positive",
googleSnippets: (g.organic || []).slice(0, 3).map(o => (o.snippet || "").slice(0, 100)),
redditTitles: (r.organic || []).slice(0, 3).map(o => (o.title || "").slice(0, 80)),
};
}
(async () => {
const apps = ["Notion", "Obsidian", "Todoist", "ClickUp", "Monday"];
for (const app of apps) {
const r = await monitorApp(app);
const ind = r.sentiment === "negative" ? "!!!" : r.sentiment === "mixed" ? "..." : " ";
console.log(`[${r.sentiment.toUpperCase().padStart(8)}] ${ind} ${app}: ${r.negativeSignals} neg signals`);
}
})();Plataformas utilizadas
Búsqueda web con grafo de conocimiento, PAA y resúmenes de IA
Comunidad, publicaciones y comentarios en hilos de cualquier subreddit