feat(HRT-66): LeadHunter S1 — core scraping, scoring, CRM SQLite et API Flask
- leadhunter_scraper.py : Google Places Nearby Search + Place Details
avec compteur quota daily_quota.json (limite 900/jour),
sleep(0.5) entre requêtes, fallback Overpass OSM boundary MEL,
filtre website absent, déduplcation, rgpd_ok=True
- leadhunter_scorer.py : moteur de scoring 0-8 pts
critère n°1 = site web absent (+3), avis ≥50 (+2),
note ≥4.0 (+2), téléphone (+1), note <3.0 (-1)
- leadhunter_crm.py : CRM SQLite schéma validé CTO
(id, source, name, address, phone, rating, reviews_count,
website, score, rgpd_ok, scraped_at, status)
CRUD : insert_lead, get_leads, update_lead_status, get_stats, export_csv
- leadhunter_api.py : Flask service port 8769
GET /api/leads, POST /api/leads/scrape, GET /api/leads/stats,
GET /api/leads/export, PATCH /api/leads/<id>/status, GET /health
assert GOOGLE_PLACES_API_KEY au démarrage
scraping asynchrone (thread) avec status endpoint
- infra/turf-saas-leadhunter.service : service systemd
EnvironmentFile=/home/h3r7/.env pour GOOGLE_PLACES_API_KEY
Tests : py_compile OK, scorer testé, CRM SQLite testé
Co-Authored-By: Paperclip <noreply@paperclip.ing>
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