GBP Completeness Audit

Score any Google Business Profile against an 8-signal completeness rubric. Surfaces high-priority local SEO leads: profiles with no website or an unclaimed listing. Zero fetches, zero LLM, zero API keys.

Feed it the output of the Google Maps Scraper and get one score row per business, ready to sort in a sheet or push into a CRM.

What It Does

For every input place record the actor evaluates 8 signals:

Signal	Weight	Full credit when
Website	1 pt	website is set
Phone	1 pt	phone is set
Hours	1 pt	open_hours is populated
Description	1 pt	description is set
Category	1 pt	category or categories is set
Photos	0 / 0.5 / 1 pt	0 / 1-4 / 5+ photos
Reviews	0 / 0.5 / 1 pt	0 / 1-9 / 10+ reviews
Claimed	1 pt	owner object present

Total points are scaled to a 0-100 gbp_completeness_score. The actor also returns:

• sub_scores - per-signal raw score, so you can rebuild your own weighting
• missing_fields[] - the field names that scored 0, ready to hand to the business owner
• lead_priority_flag - HIGH when the profile has no website OR is unclaimed, NORMAL otherwise

HIGH profiles are the sweet spot for local SEO agencies: the business exists on Google Maps but has not claimed its listing or built a website.

Input

Two shapes are accepted, and you can mix them in a single run.

Flat places list (natural shape, just pipe the google-maps-scraper output):

{
  "places": [
    { "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4", "title": "Example Restaurant Ltd.", "website": "..." }
  ]
}

Companies shape (with a company_id passthrough for join-back to your CRM):

{
  "companies": [
    { "company_id": "acme-42", "place": { "place_id": "ChIJ...", "title": "Acme Widgets GmbH" } }
  ]
}

Output

One row per input place:

{
  "company_id": "acme-42",
  "place_id": "ChIJN1t_tDeuEmsRUsoyG83frY4",
  "cid": "10281019595535971924",
  "name": "Example Restaurant Ltd.",
  "gbp_completeness_score": 88,
  "sub_scores": {
    "has_website": 1, "has_phone": 1, "has_hours": 1, "has_description": 0,
    "has_category": 1, "photo_count": 0.5, "review_count": 1, "is_claimed": 1
  },
  "missing_fields": ["description"],
  "lead_priority_flag": "NORMAL",
  "scraped_at": "2026-07-17T10:30:00Z"
}

How To Use It

1. Run Google Maps Scraper to collect places for a niche and city.
2. Feed the dataset into this actor as places.
3. Sort the output by lead_priority_flag = HIGH and gbp_completeness_score ascending.
4. Pitch those businesses first. They have the most room to improve, which makes them the easiest to close.

Pricing

Pay-per-result via Apify Pay-Per-Event billing:

Event	Price	Description
Actor start	$0.001	Charged once per run
Place audited	$0.003	Charged per scored place

Auditing 1,000 places costs about $3. No monthly fees, no minimums.

Related Actors

Discovery:

• Google Maps Scraper - collect places in bulk

Enrichment:

• AI Icebreaker Generator - one personalized cold-outreach line per business
• Website Email Scraper - pull emails and phones from company sites
• Website Contact Extractor - LLM-powered people extraction

Issues & Feature Requests

If a signal is missing or you would score things differently, open an issue on the actor's Issues tab and we will take a look.