LeadOps Autopilot: Sourcing and Scoring US Clinic Leads from Public Data

说明与用途

LeadOps Autopilot 是一套自动化管道，利用 NPPES 和 OpenStreetMap 等公共数据源收集美国诊所信息，结合网站信息进行评分，并在发送前提供可审阅的 CSV，确保人机协同决策。

问题

Clinic lead lists are often stale, incomplete, or irrelevant because they only confirm existence without indicating operational fit for lead‑intake automation.

结果

The system provides provenance‑rich, score‑based clinic leads with transparent reasoning, enabling cheap iteration, compliance by construction, and visible failure modes, while human approval gates outbound outreach.

工作流

• Collect clinic data from CMS/NPPES and OpenStreetMap Overpass API
• Enrich with website discovery via Google Places API
• Fetch each clinic’s homepage and score based on fit and negative signals
• Generate pain hypothesis and draft outreach copy
• Segment leads by vertical and batch by fit tier
• Human reviews CSV and approves high‑fit rows before any outreach is sent

证据

Most lead lists are bought, stale, and sprayed. Ours is none of the three — and the interesting part is not the scraping.

来源

The scorer (<code>leadops.py</code>) fetches each clinic's homepage and scores what it finds there.

来源

The MVP stops before sending.

来源