Una publicación de r/AiAutomations quería un correo electrónico diario con actualizaciones de la competencia. Este tutorial construye exactamente eso: Scavio monitorea las SERP de la competencia y las menciones de Reddit, Groq resume los cambios y el resumen llega a su bandeja de entrada todas las mañanas. Costo total inferior a $2/mes.
Requisitos previos
- Clave API de Scavio
- Clave API de Groq
- Credenciales de correo electrónico SMTP
- Python 3.8+
Guia paso a paso
Paso 1: Definir competidores y consultas de seguimiento
Qué monitorear para cada competidor.
Python
competitors = {
'CompetitorA': ['CompetitorA pricing 2026', 'CompetitorA review', 'CompetitorA vs'],
'CompetitorB': ['CompetitorB launch', 'CompetitorB features', 'CompetitorB alternative'],
}Paso 2: Recopilar inteligencia diaria
Busque en Google y Reddit cada competidor.
Python
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def daily_intel(competitors):
intel = {}
for name, queries in competitors.items():
intel[name] = {'google': [], 'reddit': []}
for q in queries:
g = requests.post('https://api.scavio.dev/api/v1/search',
headers=H, json={'platform': 'google', 'query': q}).json()
intel[name]['google'].extend(g.get('organic_results', [])[:3])
r = requests.post('https://api.scavio.dev/api/v1/search',
headers=H, json={'platform': 'reddit', 'query': name, 'sort': 'new'}).json()
intel[name]['reddit'] = r.get('results', [])[:5]
return intelPaso 3: Resume a cada competidor con Groq
Groq Llama 70B se resume en $0,59/1 millón de tokens de entrada.
Python
def summarize(competitor, data):
resp = requests.post('https://api.groq.com/openai/v1/chat/completions',
headers={'Authorization': f'Bearer {os.environ["GROQ_API_KEY"]}',
'Content-Type': 'application/json'},
json={'model': 'llama-3.3-70b-versatile', 'max_tokens': 400,
'messages': [{'role': 'user',
'content': f'Summarize competitor intelligence for {competitor}. '
f'Highlight: pricing changes, new features, user complaints, '
f'notable announcements. Be concise.\n\n{data}'}]
}).json()
return resp['choices'][0]['message']['content']Paso 4: Formatear y enviar resumen por correo electrónico
Redactar y enviar el resumen diario.
Python
import smtplib, datetime
from email.mime.text import MIMEText
def send_digest(intel, to_email):
body = f'Competitor Digest - {datetime.date.today()}\n\n'
for competitor, data in intel.items():
summary = summarize(competitor, data)
body += f'--- {competitor} ---\n{summary}\n\n'
msg = MIMEText(body)
msg['Subject'] = f'Competitor Digest {datetime.date.today()}'
msg['From'] = os.environ['SMTP_USER']
msg['To'] = to_email
with smtplib.SMTP('smtp.gmail.com', 587) as s:
s.starttls()
s.login(os.environ['SMTP_USER'], os.environ['SMTP_PASS'])
s.send_message(msg)Ejemplo en Python
Python
# Daily cost breakdown:
# Scavio: 2 competitors x (3 Google + 1 Reddit) = 8 queries x $0.005 = $0.04
# Groq: 2 summaries x ~2K tokens = ~$0.003
# Total: ~$0.043/day = ~$1.30/month for daily competitor email digestsEjemplo en JavaScript
JavaScript
const intel = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST',
headers: {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'},
body: JSON.stringify({platform: 'google', query: `${competitor} pricing 2026`})
}).then(r => r.json());Salida esperada
JSON
Daily email digest with competitor summaries: pricing changes, new features, user sentiment from Reddit. Groq summarization + Scavio data collection. Under $2/month.