DevOps Engineer f9a45e6deb 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>

2026-04-27 16:33:30 +02:00

527 B

Raw Blame History

View Raw