Resumen
Finding companies ese match your ideal cliente perfil (ICP) requiere monitoreo multiples canales diario. Este flujo de trabajo searches Google for companies in your objetivo verticals y Reddit for companies actively discussing problems your producto solves. It filtra resultados contra your ICP criterios y pushes qualified prospects to your CRM o outreach herramienta diario.
Desencadenador
Cron programar (diario at 8 AM UTC)
Programación
Diario at 8 AM UTC
Pasos del flujo de trabajo
Cargar ICP criterios
Leer your ideal cliente perfil: objetivo industrias, company tamano senales, technology palabras clave, y punto de dolor phrases.
Search Google for ICP matches
Consulta Google for companies in objetivo verticals usando industry-specific terms combined con qualifying senales.
Search Reddit for active discussions
Consulta Reddit for publicaciones donde companies discuss el problems your producto solves. Extraer company names y context.
Deduplicate y filtrar
Fusionar Google y Reddit resultados. Eliminar previously visto companies. Filtrar by ICP criterios.
Enriquecer con dominio datos
For nuevo companies, search Google for their dominio, tech stack, y team tamano indicators.
Push to CRM
Format qualified prospects y push to your CRM o outreach herramienta con fuente context y ICP match puntuacion.
Implementacion en Python
import requests, os, json
from datetime import date
H = {"x-api-key": os.environ["SCAVIO_API_KEY"]}
ICP_QUERIES = [
"SaaS company looking for search API",
"startup needs web scraping alternative",
"AI agent company hiring data engineer"
]
REDDIT_QUERIES = [
"need search API for our product",
"looking for SERP API alternative",
"web scraping keeps breaking help"
]
def discover_companies():
prospects = []
for q in ICP_QUERIES:
r = requests.post("https://api.scavio.dev/api/v1/search", headers=H,
json={"platform": "google", "query": q}, timeout=10).json()
for o in r.get("organic", [])[:5]:
prospects.append({
"source": "google", "query": q,
"title": o.get("title"), "url": o.get("link"),
"snippet": o.get("snippet"), "date": str(date.today())
})
for q in REDDIT_QUERIES:
r = requests.post("https://api.scavio.dev/api/v1/search", headers=H,
json={"platform": "reddit", "query": q}, timeout=10).json()
for o in r.get("organic", [])[:5]:
prospects.append({
"source": "reddit", "query": q,
"title": o.get("title"), "url": o.get("link"),
"date": str(date.today())
})
return prospects
for p in discover_companies():
print(json.dumps(p))Implementacion en JavaScript
const H = {"x-api-key": process.env.SCAVIO_API_KEY, "Content-Type": "application/json"};
async function discoverCompanies(icpQueries, redditQueries) {
const prospects = [];
for (const q of icpQueries) {
const r = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST", headers: H,
body: JSON.stringify({platform: "google", query: q})
}).then(r => r.json());
for (const o of (r.organic || []).slice(0, 5)) {
prospects.push({source: "google", query: q, title: o.title, url: o.link, snippet: o.snippet});
}
}
for (const q of redditQueries) {
const r = await fetch("https://api.scavio.dev/api/v1/search", {
method: "POST", headers: H,
body: JSON.stringify({platform: "reddit", query: q})
}).then(r => r.json());
for (const o of (r.organic || []).slice(0, 5)) {
prospects.push({source: "reddit", query: q, title: o.title, url: o.link});
}
}
return prospects;
}Plataformas utilizadas
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