Las discusiones de Reddit contienen una intención de compra explícita que la mayoría de las herramientas de generación de leads pasan por alto. Cuando alguien publica "buscando una API para rastrear los precios de Amazon" o "la mejor alternativa a Tavily", te está diciendo lo que necesita. Este tutorial crea una canalización que monitorea Reddit en busca de discusiones ricas en intenciones, califica la preparación para la compra y genera clientes potenciales calificados. Monitorear 20 palabras clave diariamente cuesta $0,10/día.
Requisitos previos
- Python 3.8+ instalado
- solicita biblioteca instalada
- Una clave API de Scavio de scavio.dev
- Palabras clave de intención relacionadas con su producto
Guia paso a paso
Paso 1: Definir palabras clave de intención y reglas de puntuación
Cree grupos de palabras clave que indiquen diferentes niveles de intención de compra.
Python
import os, requests, json
from datetime import datetime
API_KEY = os.environ['SCAVIO_API_KEY']
H = {'x-api-key': API_KEY, 'Content-Type': 'application/json'}
HIGH_INTENT = ['looking for API', 'best alternative to', 'recommend a', 'switching from', 'need an API for']
MED_INTENT = ['how to track', 'how to monitor', 'building a tool', 'automate', 'API for']
SEARCH_QUERIES = [
'looking for serp api', 'best tavily alternative',
'api to track amazon prices', 'tiktok data api recommendation',
]Paso 2: Buscar en Reddit y puntuar la intención
Consulta Reddit a través de Scavio y califica cada discusión según señales de intención.
Python
def search_reddit(query):
resp = requests.post('https://api.scavio.dev/api/v1/search',
headers=H, json={'query': query, 'platform': 'reddit', 'country_code': 'us'})
return resp.json().get('organic_results', [])[:10]
def score_intent(title, snippet):
text = (title + ' ' + snippet).lower()
score = sum(3 for kw in HIGH_INTENT if kw.lower() in text)
score += sum(1 for kw in MED_INTENT if kw.lower() in text)
return scorePaso 3: Ejecute el proceso y clasifique los clientes potenciales
Busque todas las consultas, califique las discusiones y genere clientes potenciales clasificados.
Python
def run_monitor():
leads = []
for query in SEARCH_QUERIES:
for r in search_reddit(query):
score = score_intent(r.get('title', ''), r.get('snippet', ''))
if score > 0:
leads.append({'title': r['title'], 'url': r['link'],
'snippet': r.get('snippet', ''), 'score': score, 'query': query})
leads.sort(key=lambda x: x['score'], reverse=True)
print(f'Found {len(leads)} intent signals from {len(SEARCH_QUERIES)} queries')
print(f'Cost: ${len(SEARCH_QUERIES) * 0.005:.3f}\n')
for l in leads[:10]:
print(f'[Score: {l["score"]}] {l["title"][:70]}')
print(f' {l["url"]}\n')
return leads
leads = run_monitor()Paso 4: Deduplicar y exportar
Guarde clientes potenciales en JSON con deduplicación basada en URL para el monitoreo diario.
Python
def save_leads(leads, path='intent_leads.json'):
try:
with open(path) as f: existing = json.load(f)
except FileNotFoundError: existing = []
urls = {l['url'] for l in existing}
new = [l for l in leads if l['url'] not in urls]
existing.extend(new)
with open(path, 'w') as f: json.dump(existing, f, indent=2)
print(f'{len(new)} new leads ({len(existing)} total)')
save_leads(leads)
# crontab: 0 8 * * * python intent_monitor.py >> monitor.log 2>&1Ejemplo en Python
Python
import os, requests
API_KEY = os.environ['SCAVIO_API_KEY']
H = {'x-api-key': API_KEY, 'Content-Type': 'application/json'}
QUERIES = ['looking for serp api', 'best tavily alternative']
HIGH = ['looking for', 'best alternative', 'recommend a']
def monitor():
leads = []
for q in QUERIES:
data = requests.post('https://api.scavio.dev/api/v1/search',
headers=H, json={'query': q, 'platform': 'reddit', 'country_code': 'us'}).json()
for r in data.get('organic_results', [])[:5]:
text = f"{r.get('title', '')} {r.get('snippet', '')}".lower()
score = sum(2 for kw in HIGH if kw in text)
if score > 0: leads.append({'title': r['title'], 'url': r['link'], 'score': score})
leads.sort(key=lambda x: x['score'], reverse=True)
for l in leads[:5]: print(f'[{l["score"]}] {l["title"][:60]}')
print(f'Cost: ${len(QUERIES) * 0.005:.3f}')
monitor()Ejemplo en JavaScript
JavaScript
const API_KEY = process.env.SCAVIO_API_KEY;
const H = { 'x-api-key': API_KEY, 'Content-Type': 'application/json' };
const QUERIES = ['looking for serp api', 'best tavily alternative'];
const HIGH = ['looking for', 'best alternative', 'recommend a'];
async function monitor() {
const leads = [];
for (const q of QUERIES) {
const data = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H,
body: JSON.stringify({ query: q, platform: 'reddit', country_code: 'us' })
}).then(r => r.json());
for (const r of (data.organic_results || []).slice(0, 5)) {
const text = `${r.title} ${r.snippet || ''}`.toLowerCase();
const score = HIGH.filter(kw => text.includes(kw)).length * 2;
if (score > 0) leads.push({ title: r.title, url: r.link, score });
}
}
leads.sort((a, b) => b.score - a.score)
.slice(0, 5).forEach(l => console.log(`[${l.score}] ${l.title.slice(0, 60)}`));
}
monitor().catch(console.error);Salida esperada
JSON
Found 12 intent signals from 4 queries
Cost: $0.020
[Score: 6] Looking for a SERP API that doesn't cost a fortune - recommendations?
https://reddit.com/r/webdev/comments/...
[Score: 4] Best Tavily alternative after the Nebius acquisition?
https://reddit.com/r/LangChain/comments/...
3 new leads (15 total)