Los casos legales (como Google vs SerpAPI, Anthropic vs Reddit) generan presentaciones, artículos de noticias y discusiones en Reddit durante meses. El seguimiento manual es tedioso. Este tutorial automatiza el seguimiento de casos: búsquedas diarias en Google de nuevas presentaciones y búsquedas en Reddit de análisis de la comunidad.
Requisitos previos
- Python 3.8+
- Una clave API de Scavio
- Nombres de casos o partes a monitorear
Guia paso a paso
Paso 1: Definir casos a monitorear
Configure una lista de casos legales con consultas de búsqueda para cada uno.
Python
CASES = [
{
'name': 'Google vs SerpAPI (DMCA)',
'google_queries': ['serpapi google dmca lawsuit 2026', 'serpapi motion dismiss 2026'],
'reddit_queries': ['serpapi lawsuit', 'serpapi google dmca'],
},
{
'name': 'Anthropic vs Reddit (Data)',
'google_queries': ['anthropic reddit lawsuit 2026', 'anthropic reddit data scraping case'],
'reddit_queries': ['anthropic reddit lawsuit', 'anthropic data case'],
},
]Paso 2: Construir la función de monitoreo
Busque en Google y Reddit cada caso y realice un seguimiento de los nuevos resultados.
Python
import requests, os, json
from datetime import date
from pathlib import Path
H = {'x-api-key': os.environ['SCAVIO_API_KEY'], 'Content-Type': 'application/json'}
def monitor_case(case: dict) -> dict:
updates = {'name': case['name'], 'date': date.today().isoformat(), 'google': [], 'reddit': []}
for query in case['google_queries']:
resp = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': query}, timeout=10)
for r in resp.json().get('organic', [])[:3]:
updates['google'].append({'title': r.get('title',''), 'url': r.get('link',''), 'snippet': r.get('snippet','')})
for query in case['reddit_queries']:
resp = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'reddit', 'query': query}, timeout=10)
for r in resp.json().get('organic', [])[:3]:
updates['reddit'].append({'title': r.get('title',''), 'url': r.get('link',''), 'score': r.get('score',0)})
return updatesPaso 3: Detectar resultados nuevos vs conocidos
Compare los resultados de hoy con las URL vistas anteriormente para mostrar solo las presentaciones nuevas.
Python
def check_for_new(case: dict, history_file: str = 'legal_history.json') -> dict:
history = json.loads(Path(history_file).read_text()) if Path(history_file).exists() else {}
case_key = case['name']
seen_urls = set(history.get(case_key, []))
updates = monitor_case(case)
all_urls = [r['url'] for r in updates['google'] + updates['reddit']]
new_urls = [u for u in all_urls if u and u not in seen_urls]
# Update history
history[case_key] = list(seen_urls | set(all_urls))
Path(history_file).write_text(json.dumps(history))
new_results = [r for r in updates['google'] + updates['reddit'] if r.get('url') in new_urls]
return {'case': case['name'], 'new_count': len(new_results), 'new': new_results}Paso 4: Generar informe diario
Ejecute todos los monitores de casos y produzca un resumen.
Python
def daily_legal_report() -> dict:
report = {'date': date.today().isoformat(), 'cases': []}
for case in CASES:
result = check_for_new(case)
if result['new_count'] > 0:
report['cases'].append(result)
report['total_new'] = sum(c['new_count'] for c in report['cases'])
return report
r = daily_legal_report()
print(f"Legal update {r['date']}: {r['total_new']} new items")
for case in r['cases']:
print(f" {case['case']}: {case['new_count']} new")
for item in case['new'][:2]:
print(f" - {item.get('title','')}")Ejemplo en Python
Python
import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY'], 'Content-Type': 'application/json'}
def legal_search(case_query):
g = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': case_query}).json()
r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'reddit', 'query': case_query}).json()
return {'google': g.get('organic',[])[:3], 'reddit': r.get('organic',[])[:3]}Ejemplo en JavaScript
JavaScript
async function legalSearch(caseQuery) {
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
const [g, r] = await Promise.all([
fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:H, body:JSON.stringify({platform:'google', query:caseQuery})}).then(r=>r.json()),
fetch('https://api.scavio.dev/api/v1/search', {method:'POST', headers:H, body:JSON.stringify({platform:'reddit', query:caseQuery})}).then(r=>r.json())
]);
return {google: (g.organic||[]).slice(0,3), reddit: (r.organic||[]).slice(0,3)};
}Salida esperada
JSON
An automated legal case monitor that searches daily for new filings, news articles, and Reddit discussions about tracked cases.