Google Maps Contact Cleaner & Enricher — CRM-Ready Contacts

Turns a Google Maps scraper's raw output into usable data. This is not a scraper — it's the quality layer that runs after the scrape: it cleans, merges across sources, classifies email quality, and gives every contact a "who can I safely email" verdict. No LLM, no API keys — fully deterministic.

What it does

Google Maps scrapers extract data but don't clean it: the same business shows up in 3 rows, phone formats are inconsistent, info@ role accounts get mistaken for real people, and throwaway emails are never filtered out. This actor takes that output and turns it into a clean, de-duplicated, confidence-labeled contact list ready for your CRM.

Input (any one of three)

Output (dataset, per record)

Each cleaned record carries English keys:

name, website, phone (E.164-style), address, emails (clean), socials (canonical), email_classes, best_email + best_email_type, contact_confidence (SAFE / REVIEW / WEAK) + contact_confidence_reason, priority (0–100), socials_summary. The final row _summary carries the run summary: total_records, with_email, verdict_distribution, email_type_distribution, sendable_SAFE, reach_first_list.

Email types: corporate · free_provider · role_account · disposable · invalid.

Why this actor?

1. Cross-source dedup + merge — the same business becomes one rich record (fields are completed across sources via a multi-key union-find, so even website-only and email-only fragments that share a phone number merge correctly).
2. Email quality classes — role account / disposable / free / corporate, deterministic and key-free.
3. Contact-Confidence Verdict — don't blast 1,000 rows blindly; send the "green" ones → protect deliverability and sender reputation.
4. Cleaning & normalization — phone to E.164, socials stripped of tracking params, lowercased canonical domains → straight into your CRM.

How to use

1. Collect business listings with a Google Maps scraper (or paste in your own list).
2. Connect the output to this actor as records (or pass a datasetId / searchTerms).
3. Start → grab the clean, prioritized contact list from the Dataset tab (use the Contact Table view).

Pricing (Pay-Per-Event)

You only pay for what you use: per run + per 100 records processed + per enriched record produced. The core is LLM-free, so margins stay high and costs stay predictable. No monthly subscription.