Google Maps Leads + Website Audit (Problem Score A-F)

Find businesses that are EASY TO CLOSE. This actor scrapes Google Maps for business leads, then audits every website across 20+ checks and assigns a Problem Score (A-F). Grade F businesses have broken websites and desperately need your help. Stop cold-calling. Start closing.

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How It Works

flowchart LR
    A["Search Query\n(e.g. dentists in Dallas TX)"] --> B["Google Maps\nScrape"]
    B --> C["Website Audit\n20+ Checks"]
    C --> D["Problem Scoring\nA-F Grade"]
    D --> E["Hot Leads\nOutput"]

    style A fill:#4285F4,color:#fff,stroke:none
    style B fill:#34A853,color:#fff,stroke:none
    style C fill:#FBBC05,color:#000,stroke:none
    style D fill:#EA4335,color:#fff,stroke:none
    style E fill:#7B1FA2,color:#fff,stroke:none

1. Search -- Enter a Google Maps query like "plumbers in Austin TX"
2. Scrape -- Puppeteer extracts business listings with contact info
3. Audit -- Each website is tested across 20+ technical checks
4. Score -- A Problem Score (0-100) and letter grade (A-F) are calculated
5. Output -- Leads sorted by pain level, ready for outreach

---

Architecture

flowchart TB
    subgraph Input
        Q[Search Query] --> Config[maxResults / filters]
    end

    subgraph Pipeline
        Config --> MS[Maps Scraper\nPuppeteer]
        MS -->|Business + URL| WA[Website Auditor]
        WA --> PS[PageSpeed API]
        WA --> MC[Mobile Check]
        WA --> SEO[SEO Checks]
        WA --> SEC[Security Checks]
        WA --> TECH[Tech Detection]
        PS & MC & SEO & SEC & TECH --> SC[Problem Scorer]
    end

    subgraph Output
        SC --> HL[Hot Leads View\nGrade + Contact]
        SC --> FA[Full Audit View\n20+ metrics]
    end

    style MS fill:#34A853,color:#fff
    style WA fill:#FBBC05,color:#000
    style SC fill:#EA4335,color:#fff
    style HL fill:#7B1FA2,color:#fff
    style FA fill:#7B1FA2,color:#fff

What Gets Audited

Category	Checks
Performance	PageSpeed score, load time, First Contentful Paint
Mobile	Mobile-friendliness score, viewport meta, responsive layout
SEO	Meta description, title tag, heading structure, canonical URL
Security	SSL certificate, HTTPS redirect, mixed content
Analytics	Google Analytics, Tag Manager, Facebook Pixel
Technical	Schema markup, CMS detection, broken links

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The Problem Score

The Problem Score is what makes this actor different from every other lead scraper. Instead of just pulling names and numbers, it tells you who needs help the most.

Grade A (0-20)   -- Website is solid. Low priority.
Grade B (21-40)  -- Minor issues. Some optimization opportunities.
Grade C (41-60)  -- Notable problems. Good prospect for a pitch.
Grade D (61-80)  -- Serious issues. High-pain business. Easy close.
Grade F (81-100) -- Website is broken. They need you yesterday.

Agency playbook: Filter for Grade D and F leads. These businesses have broken SSL, no mobile support, 10-second load times, and missing analytics. They are losing customers every day and they know it. Your pitch practically writes itself.

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Use Cases

mindmap
  root((Google Maps\nLeads + Audit))
    Agency Lead Gen
      Web design agencies
      SEO agencies
      Digital marketing firms
      Freelance developers
    Local SEO
      Audit local competitors
      Find underserved markets
      Benchmark performance
    Web Design Sales
      Identify broken sites
      Proof-based cold outreach
      Portfolio gap analysis
    Competitor Audit
      Compare tech stacks
      Benchmark load times
      Track CMS adoption

---

Input

Field	Type	Default	Description
searchQuery	string	required	Google Maps search (e.g. "dentists in Dallas TX")
maxResults	integer	100	Number of leads to scrape (1-500)
deepScrape	boolean	false	Extract additional details from each listing
auditWebsites	boolean	true	Run the 20+ check website audit
directContactOnly	boolean	false	Only return leads with phone or email
auditConcurrency	integer	3	Parallel audit workers (1-10)
pageSpeedApiKey	string	""	Optional Google PageSpeed API key for higher rate limits
language	string	"en"	Language for Google Maps results

Example Input

{
    "searchQuery": "dentists in Dallas TX",
    "maxResults": 50,
    "auditWebsites": true,
    "directContactOnly": true,
    "auditConcurrency": 5
}

---

Output

The actor produces two dataset views.

Output Schema

erDiagram
    LEAD {
        string name
        string problemGrade
        int problemScore
        string problemSummary
        string category
        string phone
        string email
        string website
        string address
        float rating
    }
    AUDIT {
        int performanceScore
        int mobileScore
        float loadTime
        bool hasSSL
        bool hasAnalytics
        bool hasSchemaMarkup
        bool hasMetaDescription
        string cms
        int criticalCount
        int highCount
        int mediumCount
    }
    LEAD ||--o| AUDIT : "has"

Hot Leads View (by Problem Score)

Sorted by pain level. The leads most likely to convert are at the top.

Field	Description
name	Business name
problemGrade	Letter grade A-F
problemScore	Numeric score 0-100
problemSummary	Human-readable list of issues found
category	Business category from Google Maps
phone	Phone number
email	Email address (when available)
website	Website URL
address	Full street address
rating	Google Maps star rating

Full Audit Details View

Every technical metric from the 20+ checks.

Field	Description
performanceScore	PageSpeed performance (0-100)
mobileScore	Mobile-friendliness (0-100)
loadTime	Page load time in seconds
hasSSL	SSL certificate present
hasAnalytics	Google Analytics / Tag Manager detected
hasSchemaMarkup	Structured data present
hasMetaDescription	SEO meta description present
cms	Detected CMS (WordPress, Wix, Squarespace, etc.)
criticalCount	Number of critical issues
highCount	Number of high-severity issues
mediumCount	Number of medium-severity issues

Example Output

{
    "name": "Dallas Smile Center",
    "problemGrade": "D",
    "problemScore": 72,
    "problemSummary": "No SSL, 8.2s load time, missing analytics, no schema markup",
    "category": "Dentist",
    "phone": "+1-214-555-0123",
    "email": "info@dallassmilecenter.com",
    "website": "http://dallassmilecenter.com",
    "address": "1234 Elm St, Dallas, TX 75201",
    "rating": 3.8,
    "performanceScore": 28,
    "mobileScore": 45,
    "loadTime": 8.2,
    "hasSSL": false,
    "hasAnalytics": false,
    "hasSchemaMarkup": false,
    "hasMetaDescription": false,
    "cms": "WordPress",
    "criticalCount": 3,
    "highCount": 4,
    "mediumCount": 2
}

---

AI Agent Integration

JavaScript (Node.js)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('george.the.developer/google-maps-leads-website-audit').call({
    searchQuery: 'dentists in Dallas TX',
    maxResults: 50,
    auditWebsites: true,
    directContactOnly: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();

// Filter for high-pain leads (Grade D and F)
const hotLeads = items.filter(lead => ['D', 'F'].includes(lead.problemGrade));
console.log(`Found ${hotLeads.length} hot leads ready for outreach`);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("george.the.developer/google-maps-leads-website-audit").call(run_input={
    "searchQuery": "dentists in Dallas TX",
    "maxResults": 50,
    "auditWebsites": True,
    "directContactOnly": True,
})

items = client.dataset(run["defaultDatasetId"]).list_items().items

# Filter for high-pain leads (Grade D and F)
hot_leads = [lead for lead in items if lead.get("problemGrade") in ("D", "F")]
print(f"Found {len(hot_leads)} hot leads ready for outreach")

cURL

# Start the actor
curl -X POST "https://api.apify.com/v2/acts/george.the.developer~google-maps-leads-website-audit/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQuery": "dentists in Dallas TX",
    "maxResults": 50,
    "auditWebsites": true,
    "directContactOnly": true
  }'

# Fetch results (replace DATASET_ID from the run response)
curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=YOUR_APIFY_TOKEN"

---

Pricing

Event	Cost
Lead audited	$0.01

Each scraped and audited lead costs $0.01. A run with maxResults: 100 costs approximately $1.00.

Leads	Cost
50	$0.50
100	$1.00
250	$2.50
500	$5.00

One closed client from a Grade F lead pays for thousands of runs.

---

Comparison

vs. Manual Auditing

	Manual	This Actor
Time per lead	15-30 minutes	~5 seconds
Checks	3-5 (whatever you remember)	20+ automated
Consistency	Varies by person	Identical every time
Scale	10-20/day max	500 per run
Cost	Your hourly rate	$0.01/lead

vs. Other Lead Gen Tools

	Generic Scrapers	This Actor
Contact info	Yes	Yes
Website audit	No	20+ checks
Problem scoring	No	A-F grade
Prioritization	Manual guesswork	Automatic by pain level
Pitch material	None	Problem summary per lead
Agency-ready	No	Built for agencies

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FAQ

Q: Do I need a Google PageSpeed API key? A: No. The actor works without one. Adding a key increases rate limits for faster audits on large runs. Get a free key at Google Cloud Console.

Q: How accurate is the Problem Score? A: The score is calculated from real PageSpeed data, live SSL checks, DOM analysis for analytics/schema, and mobile viewport testing. It reflects actual technical issues, not estimates.

Q: Can I scrape any location? A: Yes. Use any query that works on Google Maps: city, state, ZIP, country. Examples: "restaurants in London", "lawyers near 90210", "hotels in Tokyo".

Q: What happens if a business has no website? A: The lead is still returned with contact info and Google Maps data. The audit fields will be empty and no Problem Score is assigned.

Q: How many leads can I scrape per run? A: Up to 500 per run. For larger datasets, run the actor multiple times with different queries or location variations.

Q: What CMS platforms can it detect? A: WordPress, Wix, Squarespace, Shopify, Webflow, Joomla, Drupal, GoDaddy Builder, and more. Detection is based on DOM signatures and response headers.

Q: Can I use this with my CRM? A: Yes. Export results as JSON, CSV, or Excel. Use Apify integrations to push data directly to Google Sheets, Zapier, Make, or any webhook endpoint.

Q: Is this compliant with Google's terms? A: This actor scrapes publicly available information from Google Maps. Review Apify's terms of service and your local regulations before use.

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Support

• Open an issue on the actor page
• Apify Discord -- tag @george.the.developer