Turning Google Maps Scraper Output into a 0-100 Lead Priority Score (No Scraping, No LLM)

Description and use

The Actor transforms raw Google Maps scrape data into a single priority score per business, automatically filtering out permanently closed places and providing clear reasons for each score, thereby streamlining outreach workflows.

Problem

Lead‑gen pipelines for local SEO/web design agencies rely on manually sorting large lists of businesses scraped from Google Maps, which is time‑consuming and error‑prone.

Outcome

The Actor transforms raw Google Maps scrape data into a single priority score per business, automatically filtering out permanently closed places and providing clear reasons for each score, thereby streamlining outreach workflows.

Workflow

• 1. Run a Google Maps scraper (e.g., Apify Google Places crawler) to obtain JSON place objects.
• 2. Pass the JSON array to the Google Maps Lead Priority Scorer Actor via the Apify Console, CLI, or API.
• 3. Optionally set a minimum tier (Warm/Hot) to filter results and control billing.
• 4. Receive a sorted output (JSON/CSV/Excel) with priorityScore, tier, and reasons for each lead.
• 5. (Optional) Chain the scraper and scorer in a single script using the Apify SDK for automated pipelines.