Encontrar personas influyentes en YouTube para asociaciones de marcas normalmente requiere costosas plataformas de marketing de personas influyentes (entre 200 y 500 dólares al mes) o búsquedas manuales. Este tutorial crea un canal automatizado utilizando datos SERP para descubrir YouTubers en cualquier nicho, calificar su relevancia y compilar listas de divulgación. Cada búsqueda cuesta 0,005 dólares y descubrir 50 influencers en un nicho cuesta alrededor de 0,05 dólares (10 búsquedas).
Requisitos previos
- Python 3.9+ instalado
- solicita biblioteca instalada
- Una clave API de Scavio de scavio.dev
Guia paso a paso
Paso 1: Definir consultas de búsqueda de nichos
Cree consultas de búsqueda diseñadas para mostrar canales de YouTube en su nicho objetivo. Combine palabras clave de temas con modificadores específicos de YouTube.
Python
def generate_queries(niche: str, modifiers: list = None) -> list:
if modifiers is None:
modifiers = [
'best {niche} youtube channels 2026',
'top {niche} youtubers to follow',
'site:youtube.com {niche} tutorial',
'site:youtube.com {niche} review 2026',
'{niche} youtube creator recommendations',
]
return [m.format(niche=niche) for m in modifiers]
niche = 'python programming'
queries = generate_queries(niche)
for q in queries:
print(f' {q}')
print(f'\n{len(queries)} queries = ${len(queries) * 0.005:.3f}')Paso 2: Descubra creadores a partir de los resultados de búsqueda
Busque cada consulta y extraiga nombres únicos de canales de YouTube y datos de video de los resultados.
Python
import requests, os, time, re
from collections import defaultdict
SCAVIO_KEY = os.environ['SCAVIO_API_KEY']
def discover_creators(queries: list) -> dict:
creators = defaultdict(lambda: {'videos': [], 'mentions': 0, 'sources': []})
for query in queries:
resp = requests.post('https://api.scavio.dev/api/v1/search',
headers={'x-api-key': SCAVIO_KEY, 'Content-Type': 'application/json'},
json={'query': query, 'country_code': 'us', 'num_results': 10})
for r in resp.json().get('organic_results', []):
link = r.get('link', '')
title = r.get('title', '')
# Extract channel from YouTube URLs
if 'youtube.com/watch' in link:
# Channel often in title as "Video Title - Channel Name"
parts = title.replace(' - YouTube', '').split(' - ')
if len(parts) >= 2:
channel = parts[-1].strip()
creators[channel]['videos'].append(parts[0].strip())
creators[channel]['mentions'] += 1
creators[channel]['sources'].append(link)
elif 'youtube.com/@' in link or 'youtube.com/c/' in link:
channel = title.replace(' - YouTube', '').strip()
creators[channel]['mentions'] += 1
creators[channel]['sources'].append(link)
time.sleep(0.3)
return dict(creators)
creators = discover_creators(queries)
print(f'Discovered {len(creators)} unique creators')
for name, data in sorted(creators.items(), key=lambda x: -x[1]['mentions'])[:5]:
print(f' {name}: {data["mentions"]} mentions, {len(data["videos"])} videos')Paso 3: Puntuar y clasificar a los creadores
Califique a cada creador según la frecuencia con la que aparece en las búsquedas, la cantidad de videos únicos encontrados y la relevancia del nicho.
Python
def score_creators(creators: dict, niche_terms: list) -> list:
scored = []
for name, data in creators.items():
# Frequency score: more mentions = more prominent
freq_score = min(data['mentions'] * 15, 40)
# Content volume: more videos found = more active
volume_score = min(len(data['videos']) * 10, 30)
# Niche relevance: check if videos match niche
niche_text = ' '.join(data['videos']).lower()
term_hits = sum(1 for t in niche_terms if t.lower() in niche_text)
relevance_score = min(term_hits / max(len(niche_terms), 1) * 30, 30)
total = round(freq_score + volume_score + relevance_score, 1)
scored.append({
'channel': name, 'score': total,
'mentions': data['mentions'],
'videos_found': len(data['videos']),
'sample_videos': data['videos'][:3],
'channel_url': data['sources'][0] if data['sources'] else ''
})
scored.sort(key=lambda x: -x['score'])
return scored
niche_terms = ['python', 'programming', 'tutorial', 'code']
ranked = score_creators(creators, niche_terms)
print(f'Top 10 {niche} YouTube creators:\n')
for i, c in enumerate(ranked[:10], 1):
print(f'{i:2}. [{c["score"]:5.1f}] {c["channel"]}')
if c['sample_videos']:
print(f' Videos: {c["sample_videos"][0][:50]}')Ejemplo en Python
Python
import requests, os, time
from collections import defaultdict
SCAVIO_KEY = os.environ['SCAVIO_API_KEY']
def find_creators(niche, count=5):
queries = [f'site:youtube.com {niche} tutorial', f'best {niche} youtubers 2026',
f'site:youtube.com {niche} review 2026']
creators = defaultdict(int)
for q in queries:
resp = requests.post('https://api.scavio.dev/api/v1/search',
headers={'x-api-key': SCAVIO_KEY, 'Content-Type': 'application/json'},
json={'query': q, 'country_code': 'us', 'num_results': 10})
for r in resp.json().get('organic_results', []):
title = r.get('title', '').replace(' - YouTube', '')
parts = title.split(' - ')
if len(parts) >= 2:
creators[parts[-1].strip()] += 1
time.sleep(0.3)
return sorted(creators.items(), key=lambda x: -x[1])[:count]
for name, mentions in find_creators('python programming'):
print(f'{name}: {mentions} mentions')Ejemplo en JavaScript
JavaScript
const SCAVIO_KEY = process.env.SCAVIO_API_KEY;
async function findCreators(niche) {
const queries = [`site:youtube.com ${niche} tutorial`, `best ${niche} youtubers 2026`];
const creators = {};
for (const q of queries) {
const resp = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST',
headers: { 'x-api-key': SCAVIO_KEY, 'Content-Type': 'application/json' },
body: JSON.stringify({ query: q, country_code: 'us', num_results: 10 })
});
for (const r of (await resp.json()).organic_results || []) {
const parts = r.title.replace(' - YouTube', '').split(' - ');
if (parts.length >= 2) {
const ch = parts[parts.length - 1].trim();
creators[ch] = (creators[ch] || 0) + 1;
}
}
}
return Object.entries(creators).sort((a, b) => b[1] - a[1]).slice(0, 10);
}
findCreators('python programming').then(c => c.forEach(([n, m]) => console.log(`${n}: ${m}`)));Salida esperada
JSON
best python programming youtube channels 2026
top python programming youtubers to follow
site:youtube.com python programming tutorial
Discovered 18 unique creators
Tech With Tim: 4 mentions, 3 videos
Corey Schafer: 3 mentions, 2 videos
Programming with Mosh: 3 mentions, 2 videos
Top 10 python programming YouTube creators:
1. [ 85.0] Tech With Tim
Videos: Python Full Course for Beginners 2026
2. [ 72.5] Corey Schafer
3. [ 68.3] Programming with Mosh