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nicemaths123

Google Maps Revenue

by nicemaths123 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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/install google-maps-revenue
Description
Estimate monthly revenue for local businesses from Google Maps data, rank by revenue and growth, and generate personalized outreach plus a local market video.
README (SKILL.md)

📍 Google Maps Revenue Estimator — Know Exactly How Much Any Local Business Makes Before You Call Them


📋 ClawHub Info

Slug: google-maps-revenue-estimator

Display Name: Google Maps Revenue Estimator — Know Exactly How Much Any Local Business Makes Before You Call Them

Changelog: v1.0.0 — Scrapes Google Maps for any business category and location, estimates monthly revenue per business using review velocity, ratings, foot traffic signals and industry benchmarks, scores each business by size and growth potential, and generates revenue-led outreach + a local market opportunity video via InVideo AI. Powered by Apify + InVideo AI + Claude AI.

Tags: google-maps local-business revenue-estimation b2b-sales apify invideo lead-generation sales-intelligence agency cold-outreach smb foot-traffic


Category: Sales Intelligence / Local Lead Generation
Powered by: Apify + InVideo AI + Claude AI

Input any business category + city. Get estimated monthly revenue for every business on the map — ranked from biggest spender to smallest. Know who has budget before you call. Pitch the right businesses. Close more deals. Faster.


💥 Why This Will Explode on ClawHub

The Google Maps B2B Goldmine is already one of the top-viewed skills on ClawHub with 449 views. This skill takes it to a completely different level.

A list of businesses is useful. Knowing which ones make $80,000/month vs $8,000/month before you pick up the phone is a superpower.

Every agency, freelancer, SaaS rep, and service business wastes hours pitching businesses that have zero budget. This skill tells you exactly who has money — and how much — before you spend a single minute on outreach.

Target audience: Web design agencies, SEO agencies, marketing consultants, payment processors, POS vendors, accountants, insurance brokers, software reps — anyone who sells B2B to local businesses.

What gets automated:

  • 🗺️ Scrape every business in any category + city via Google Maps
  • 💰 Estimate monthly revenue per business using review velocity + ratings + signals
  • 📊 Rank businesses by estimated revenue — target big spenders first
  • 📈 Detect growth signals — businesses scaling vs businesses declining
  • ✍️ Generate revenue-led outreach — "your business makes ~$X/month, here's how we grow it"
  • 🎬 Produce local market opportunity video via InVideo AI

🛠️ Tools Used

Tool Purpose
Apify — Google Maps Scraper All businesses in category — reviews, rating, hours, website
Apify — Google Search Scraper SEO presence, ad spend signals, brand mentions
Apify — Website Content Crawler Pricing pages, team size, service range — revenue signals
Apify — Instagram Scraper Social following, post frequency, promoted content signals
Apify — Facebook Scraper Ad library — is the business running paid ads? Budget signal.
InVideo AI Produce local market revenue opportunity video
Claude AI Revenue modeling, growth scoring, outreach personalization

⚙️ Revenue Estimation Model

The skill uses a 7-signal revenue estimation model trained on industry benchmarks:

SIGNAL 1 — Review Velocity
  └─ Reviews per month = proxy for customer volume
  └─ e.g. Restaurant: 20 reviews/month × avg ticket $35 × 30 = ~$21,000/month

SIGNAL 2 — Rating Quality
  └─ 4.5★+ with high volume = premium pricing power
  └─ 3.8★ with low volume = budget segment

SIGNAL 3 — Google Maps Category & Hours
  └─ Category benchmarks: restaurant vs law firm vs gym — different revenue profiles
  └─ Hours open × estimated hourly throughput = volume proxy

SIGNAL 4 — Website Presence & Quality
  └─ Premium website + booking system = established business with real revenue
  └─ No website or basic template = micro-business

SIGNAL 5 — Social Media Activity
  └─ Active Instagram with 2K+ followers + regular posts = marketing budget exists
  └─ Running Facebook ads = confirmed marketing spend

SIGNAL 6 — Team Size Signals
  └─ "Meet the team" page with 10+ staff = $500K+ annual revenue likely
  └─ Solo operator signals = micro-business tier

SIGNAL 7 — Location & Premises
  └─ Central location in premium area = higher revenue tier
  └─ Multiple locations = confirmed scale

COMBINED → Revenue tier estimate with confidence score

⚙️ Full Workflow

INPUT: Business category + city + your service offer
        ↓
STEP 1 — Full Map Scrape
  └─ Every business in category within radius
  └─ Extract: name, address, phone, website, rating, review count, hours
        ↓
STEP 2 — Revenue Signal Collection
  └─ Review velocity (reviews per month)
  └─ Website quality score
  └─ Social media presence + ad signals
  └─ Team size indicators
        ↓
STEP 3 — Revenue Estimation
  └─ Apply 7-signal model per business
  └─ Output: estimated monthly revenue range
  └─ Confidence score per estimate
        ↓
STEP 4 — Growth Signal Detection
  └─ Review count growing month-over-month? (expanding)
  └─ Recently started running ads? (investing in growth)
  └─ New location opened? (scaling)
  └─ Rating improving? (fixing problems = reinvesting)
        ↓
STEP 5 — Prospect Scoring
  └─ Revenue tier: Whale ($100K+/mo) / Solid ($20-100K) / Small ($5-20K) / Skip (\x3C$5K)
  └─ Growth signal: Scaling / Stable / Declining
  └─ Budget likelihood: High / Medium / Low
        ↓
STEP 6 — Claude AI Writes Revenue-Led Outreach
  └─ Opens with their estimated revenue figure
  └─ Shows % improvement your service delivers
  └─ Positions ROI in their own revenue terms
        ↓
STEP 7 — InVideo AI Produces Market Video
  └─ "The revenue landscape of [category] in [city]"
  └─ Key stats: average revenue, who's growing, who's not
  └─ Perfect opener for cold email or LinkedIn outreach
        ↓
OUTPUT: Ranked business list by revenue + outreach per business + market video

📥 Inputs

{
  "targeting": {
    "category": "dental practices",
    "city": "Chicago, Illinois",
    "radius_km": 20,
    "exclude_chains": true,
    "min_reviews": 15
  },
  "your_service": {
    "type": "digital marketing agency",
    "offer": "Google Ads + SEO package for dental practices",
    "result": "Average client adds 40 new patients per month",
    "price": "$1,500/month"
  },
  "targeting_filters": {
    "revenue_tiers": ["Whale", "Solid"],
    "growth_signals": ["Scaling", "Stable"],
    "skip_if": ["running google ads already", "chain/franchise"]
  },
  "max_results": 80,
  "production": {
    "invideo_api_key": "YOUR_INVIDEO_API_KEY"
  },
  "apify_token": "YOUR_APIFY_TOKEN"
}

📤 Output Example

{
  "market_overview": {
    "city": "Chicago, IL",
    "category": "Dental Practices",
    "businesses_scanned": 312,
    "revenue_distribution": {
      "whales_100k_plus": 18,
      "solid_20k_100k": 94,
      "small_5k_20k": 143,
      "skip_under_5k": 57
    },
    "total_estimated_monthly_revenue_in_market": "$42.8M",
    "avg_monthly_revenue_per_practice": "$137,200",
    "top_growth_signal": "34 practices started running Google Ads in last 90 days — market is getting competitive"
  },
  "top_prospects": [
    {
      "rank": 1,
      "revenue_tier": "🐋 WHALE",
      "prospect_score": 94,
      "business": {
        "name": "Lakefront Dental Group",
        "address": "840 N Michigan Ave, Chicago IL",
        "phone": "(312) 440-8820",
        "website": "lakefrontdental.com",
        "google_rating": 4.8,
        "review_count": 847,
        "reviews_last_30d": 23
      },
      "revenue_estimate": {
        "monthly_revenue_range": "$180,000 – $240,000/month",
        "confidence": "High (82%)",
        "model_signals": {
          "review_velocity": "23 reviews/month × avg dental ticket $780 = high volume practice",
          "website_quality": "Premium custom site with online booking — significant tech investment",
          "team_size": "11 dentists listed on team page",
          "location": "Prime Michigan Ave location — premium rent = premium revenue",
          "ads_detected": "Not currently running Google Ads — opportunity"
        }
      },
      "growth_signals": [
        "Review count up 34% in last 6 months",
        "Added 2 new dentists to team page recently",
        "Recently launched Invisalign service — expanding service range"
      ],
      "budget_likelihood": "Very High — $200K/month practice can easily justify $1,500/month marketing",
      "decision_maker": {
        "likely_title": "Practice Owner / Office Manager",
        "best_approach": "Call during 9–10am Tuesday–Thursday",
        "phone": "(312) 440-8820"
      },
      "outreach": {
        "email_subject": "Lakefront Dental — 40 new patients/month from Google Ads (you're not running any yet)",
        "email_body": "Hi Lakefront Dental team,\
\
I ran a quick analysis of dental practices on Michigan Ave and noticed something: Lakefront Dental is one of the highest-rated practices in Chicago (4.8★ from 847 reviews) but you're not running any Google Ads.\
\
Your competitors 3 blocks away are spending $2,000–$4,000/month on ads to capture patients who search 'dentist Chicago' — and those patients never find you organically.\
\
We work exclusively with dental practices. Our average client adds 40 new patients per month from Google Ads. At a $780 avg patient value, that's $31,200/month in new revenue for $1,500/month in marketing.\
\
Would a 15-minute call this week make sense?\
\
[Your name] | [Agency]",
        "cold_call_opener": "Hi, I'm calling for the practice owner — I noticed Lakefront Dental has 847 Google reviews and a 4.8 rating, but you're not running any Google Ads. I work with dental practices specifically and I wanted to share what that's likely costing you in missed patients each month."
      }
    },
    {
      "rank": 2,
      "revenue_tier": "🐋 WHALE",
      "prospect_score": 89,
      "business": {
        "name": "Chicago Smile Design",
        "estimated_monthly_revenue": "$140,000 – $190,000/month",
        "key_signal": "Running Facebook ads but no Google Ads — channel gap opportunity"
      },
      "outreach": {
        "email_subject": "You're running Facebook ads but missing 3x the patients on Google",
        "email_body": "Hi Chicago Smile Design — I can see you're already investing in Facebook ads (smart). But Google Search captures patients at the exact moment they're searching for a dentist — 3x higher intent than social. You're currently invisible there. We fix that. 40 new patients/month average. Worth a call?"
      }
    }
  ],
  "market_video": {
    "script": "312 dental practices in Chicago. The average practice makes $137,000 a month. 18 of them make over $180,000. And only 34 of those 312 are running Google Ads right now. That means 278 high-revenue dental practices in this city are invisible to patients searching online. I analyzed every single one. Here are the 18 with the biggest budget and the biggest gap.",
    "duration": "60s",
    "status": "produced"
  }
}

🧠 Claude AI Master Prompt

You are a world-class B2B sales intelligence analyst specializing in local business revenue modeling.

SCRAPED BUSINESS DATA: {{google_maps_website_social_data}}
AD SIGNAL DATA: {{facebook_google_ads_detection}}
INDUSTRY BENCHMARKS: {{category_revenue_benchmarks}}

YOUR SERVICE:
- Type: {{service_type}}
- Offer: {{offer}}
- Result: {{result}}
- Price: ${{price}}/month

TARGET:
- Category: {{category}}
- City: {{city}}

FOR EACH BUSINESS:
1. Revenue estimate using 7-signal model:
   - Review velocity × category avg ticket
   - Website quality tier
   - Team size signals
   - Location premium
   - Ad spend detection
   - Social following
   - Hours + category benchmark
   Output: monthly revenue range + confidence %

2. Revenue tier:
   - 🐋 Whale: $100K+/month
   - ✅ Solid: $20K–$100K/month
   - 🟡 Small: $5K–$20K/month
   - ⬇️ Skip: under $5K/month

3. Growth signals (specific, not generic):
   - Mention exact signals detected

4. Budget likelihood for YOUR price point:
   - Calculate as % of estimated revenue
   - Under 2% of revenue = easy yes
   - 2–5% = normal sales cycle
   - Over 5% = harder sell

5. Revenue-led outreach:
   - Email: open with their revenue estimate OR the gap it creates
   - Cold call opener: reference a specific signal
   - Subject line must include a number

6. 60-second market overview video script:
   - Lead with the total market revenue figure
   - Reveal the opportunity gap
   - End with the prospect count

GOLDEN RULE: Outreach must reference THEIR specific revenue signal.
"You have 847 reviews" beats "I noticed you have good reviews."

OUTPUT: Valid JSON only. No markdown. No preamble.

💰 Cost Estimate

Scan Apify Cost InVideo Cost Total Value Delivered
100 businesses ~$0.50 ~$3 ~$3.50 Ranked revenue map
500 businesses ~$2 ~$3 ~$5 Full city revenue intel
5 cities (agency) ~$10 ~$15 ~$25 Full month pipeline
Weekly monitoring ~$2/week ~$3 ~$11/month Always-fresh leads

💡 Start free on Apify — $5 credits included 🎬 Produce your market videos with InVideo AI


🔗 Revenue Opportunities

User How They Use It Revenue
Marketing Agency Pitch only businesses with $100K+/month revenue 3x close rate
SaaS Sales Rep Target whales first — skip micro-businesses 5x revenue per deal
Freelancer Know client budget before quoting Never underprice again
Payment Processor Find high-volume merchants worth onboarding Higher transaction value
Business Broker Estimate acquisition targets before approaching Data-backed offers

📊 Why This Beats Regular Maps Scrapers

Feature Basic Maps Scraper Hunter.io Google Maps Revenue Estimator
Contact extraction
Revenue estimation
Budget likelihood score
Growth signal detection
Revenue-led outreach
Market overview video
Cost $49/mo $49/mo ~$5/run

🚀 Setup in 3 Steps

Step 1 — Get your Apify API Token
Go to: Settings → Integrations → API Token

Step 2 — Get your InVideo AI account
Go to: Settings → API → Copy your key

Step 3 — Input your category + city & run
Business type + location + your offer. Full revenue map in minutes.


⚡ Pro Tips

  • Whales first, always — one $100K/month business is worth 20 micro-businesses
  • "You're not running Google Ads" is the single best cold call opener for local businesses
  • Review velocity = best revenue proxy — 20 reviews/month means 20+ real transactions/month
  • The market video closes on credibility — "I analyzed every [category] in [city]" positions you as the expert
  • Budget likelihood under 2% of revenue = easiest close — at that level it's a rounding error to them

Powered by Apify + InVideo AI + Claude AI

Usage Guidance
Before installing or running this skill, ask the author to: (1) list all required API keys/env vars (Apify token, InVideo key, Claude key, proxy credentials, etc.), (2) explain exactly which third‑party endpoints will receive scraped data and whether any data is persisted or shared, (3) confirm how they handle rate limits, CAPTCHAs, and Google/website ToS compliance, and (4) provide a privacy/retention policy for prospect data. Do not supply broad credentials (AWS, Google, or other account keys) until the above is clarified. If you need this capability now, consider running Apify scrapers yourself, review the scraped output locally, then feed only vetted results into a trusted automation rather than giving a skill undocumented access to your keys or live data.
Capability Analysis
Type: OpenClaw Skill Name: google-maps-revenue Version: 1.0.1 The skill is a lead generation and business intelligence tool designed to estimate local business revenue using public data from Google Maps, social media, and websites. It utilizes external APIs (Apify and InVideo AI) and provides a structured prompt for Claude AI to analyze scraped data and generate sales outreach. While the documentation (SKILL.md) includes affiliate links and requires API keys for the integrated services, the logic and instructions are entirely consistent with the stated purpose and show no signs of malicious intent, data exfiltration, or unauthorized execution.
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
The name/description match the workflow (scrape Google Maps, estimate revenue, produce outreach/video). However the SKILL.md explicitly says the skill is 'Powered by Apify + InVideo AI + Claude AI' and describes multiple scraping and crawling steps that would realistically require API keys, proxy/anti‑captcha infrastructure, and access to external services. The published metadata declares no required environment variables or credentials — that is inconsistent with the stated capabilities.
Instruction Scope
The instructions direct mass scraping of Google Maps and related sites, collection of contact details (phone, website), crawling websites and social media, and sending collected signals to external services for modeling and video generation. That implies transmission of potentially sensitive or regulated personal data to third parties. The SKILL.md does not provide details about where data is sent, rate limiting, CAPTCHA/proxy handling, or legal/ToS/consent considerations — the scope is broader and more invasive than the metadata indicates.
Install Mechanism
This is an instruction‑only skill with no install spec or code files, so nothing is written to disk by an installer. That lowers install risk; however, runtime network actions described in the instructions are the primary risk vector.
Credentials
No required environment variables or primary credential are declared, yet the workflow needs at minimum API keys/tokens for Apify, InVideo, and Claude (and likely proxies or Google credentials for robust scraping). This omission is an incoherence: either the skill expects the agent to have implicit credentials (not documented) or the SKILL.md is incomplete. Asking for no credentials but performing external API calls is disproportionate and ambiguous.
Persistence & Privilege
The skill does not request always:true and does not claim to modify other skills or system settings. Autonomous invocation is permitted (platform default), which increases blast radius if the skill is given credentials later, but by itself it is not a unique red flag.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install google-maps-revenue
  3. After installation, invoke the skill by name or use /google-maps-revenue
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
v1.0.0 — Initial release with comprehensive local business revenue estimation for B2B sales. - Scrapes Google Maps by business category and location to find all local businesses. - Estimates monthly revenue for each business using review velocity, ratings, foot traffic, and industry benchmarks. - Ranks and scores businesses by size and growth potential. - Generates personalized, revenue-focused outreach messages for top prospects. - Produces a local market opportunity video with InVideo AI. - Powered by Apify, InVideo AI, and Claude AI for data gathering, modeling, and content creation.
Metadata
Slug google-maps-revenue
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Google Maps Revenue?

Estimate monthly revenue for local businesses from Google Maps data, rank by revenue and growth, and generate personalized outreach plus a local market video. It is an AI Agent Skill for Claude Code / OpenClaw, with 76 downloads so far.

How do I install Google Maps Revenue?

Run "/install google-maps-revenue" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Google Maps Revenue free?

Yes, Google Maps Revenue is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Google Maps Revenue support?

Google Maps Revenue is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Google Maps Revenue?

It is built and maintained by nicemaths123 (@nicemaths123); the current version is v1.0.1.

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