Local Business Intelligence Suite

"God Mode for Local SEO" by John Rippy | johnrippy.link

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Stop Paying for 10+ Separate Local SEO Tools

You're currently paying for: BrightLocal ($39/mo), LocalFalcon ($29/mo), GatherUp ($99/mo), SEMrush ($129/mo), Moz Local ($14/mo), Yext ($499/mo), ReviewTrackers ($49/mo), and a dozen browser extensions.

What if one tool did it all?

The Local Business Intelligence Suite combines 19 specialized modules into one powerful actor:

• Google Business Profile scraping (reviews, posts, photos, Q&A, hours, attributes)
• Multi-platform review aggregation with AI sentiment analysis (Google, Yelp, Facebook, TripAdvisor)
• Local SERP ranking with map grid analysis (like LocalFalcon, but without the $29/mo)
• Citation auditing across 20+ directories (like Moz Local, but on-demand)
• Business enrichment with contact discovery (like ZoomInfo, but pay-per-use)
• Tech stack detection for 50+ trackers and pixels
• Reddit intelligence for reputation and local discussions
• Market Intelligence powered by US Census, SBA, and County Business Patterns data
• NEW: Smart Reputation Aggregator - auto-detects business type and scrapes relevant platforms
• And 9 more specialized modules...

Pay only for what you use. No monthly subscriptions. No minimum commitments.

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19 Intelligence Modules — Every Local SEO Task in One Place

Core Intelligence (v1.0)

Module	Replaces	What It Does
GBP Profile Scrape	Manual research	Extract reviews, posts, photos, Q&A, hours, services, attributes from any Google Business Profile
Multi-Platform Reviews	GatherUp, ReviewTrackers	Scrape reviews from Google, Yelp, Facebook, TripAdvisor with AI sentiment analysis
Local SERP Tracking	LocalFalcon, GeoRanker	Track local pack rankings + map grid analysis at any location
Business Enrichment	ZoomInfo, Apollo	Find social profiles, decision-maker contacts, company data
Website Analysis	Screaming Frog, Sitebulb	Crawl sites, extract SEO data, identify technical issues
Competitor Analysis	BrightLocal	Compare multiple businesses head-to-head across all metrics

Advanced Intelligence (v1.2-1.3)

Module	Replaces	What It Does
Tech Stack Scan	BuiltWith, Wappalyzer	Detect 50+ tracking codes, analytics, pixels, CMS platforms
Citation Audit	Moz Local, Yext	Check NAP consistency across 20+ business directories
Backlink Analysis	Ahrefs (partial)	Find local backlinks, directory listings, news mentions
Social Presence Scan	Sprout Social	Analyze profiles across 7 platforms (FB, IG, Twitter, LinkedIn, YouTube, TikTok, Pinterest)
Keyword Research	SEMrush (partial)	Suggest local keywords with estimated search volume
Review Response Analysis	GatherUp	Measure response rate, response speed, find unresponded negative reviews
Photo Analysis	Manual audit	Audit GBP photo quality, categories, and coverage gaps
Hours & Attributes Audit	Manual audit	Compare hours and attributes against competitors
Technical SEO Scan	Screaming Frog	Check robots.txt, sitemap.xml, llms.txt, security.txt, AI readiness

Market Intelligence (v1.4-1.5)

Module	Replaces	What It Does
Reddit Research	Brand24, Mention	Find business mentions, local discussions, competitor intel, and recommendation threads
Market Intelligence	IBISWorld, Statista	US Census data, County Business Patterns, SBA data for market sizing, demographics, competition analysis, and 5-year projections

Reputation Aggregator (v1.6) - NEW!

Module	Replaces	What It Does
Reputation Aggregate	GatherUp, ReviewTrackers	Smart multi-platform review aggregation - auto-detects business type from GBP category and scrapes relevant platforms. Restaurants get Yelp/TripAdvisor/DoorDash/GrubHub, attorneys get Avvo, healthcare gets HealthGrades, etc. BYOK support for D&B Direct+, TripAdvisor API, G2 API.

Platforms by Business Type:

Type	Auto-Enabled Platforms
Restaurant	Google, Yelp, TripAdvisor, DoorDash, GrubHub, Uber Eats, OpenTable
Hotel	Google, Yelp, TripAdvisor, Booking.com
Home Services	Google, Yelp, Angi, HomeAdvisor, BBB
Home Design	Google, Yelp, Houzz, Angi
Attorney	Google, Yelp, Avvo, BBB
Healthcare	Google, Yelp, HealthGrades, Zocdoc
Software	Google, G2, Capterra, Trustpilot, Clutch
Agency	Google, Clutch, G2, Glassdoor
E-commerce	Google, Trustpilot, BBB

All-In-One

Module	What It Does
Full Business Audit	Run ALL 18 modules + generate overall score and prioritized recommendations

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Why Agencies Choose This Over Traditional Tools

1. Pay-Per-Use, Not Per-Month

Traditional tools: $500-$2,000/month for your agency.

This actor: Pay per task. A full business audit costs ~$2. A GBP scrape is ~$1. Track rankings for 5 keywords: ~$0.50.

Run 100 audits/month and still pay less than one BrightLocal subscription.

2. All Data in One Place

Stop logging into 8 different dashboards. Get GBP data, reviews, rankings, citations, backlinks, social metrics, and market data in one JSON response.

Feed it directly into your CRM, reporting tool, or AI assistant.

3. Automation-Ready with Webhooks

Built-in webhook support for:

• Zapier — Trigger workflows when audits complete
• Make (Integromat) — Build complex automations
• n8n — Self-hosted automation
• Custom endpoints — Send to your own systems

Just add your webhook URL and results automatically POST to your endpoint.

4. Census-Powered Market Intelligence

No other Apify actor gives you US Census Bureau data for local SEO:

• Population demographics by ZIP code
• Median household income
• County Business Patterns (competitor counts by industry)
• 5-year market projections
• "Dollars up for grabs" calculations for new market entrants

This is the data enterprise consultants pay $10,000+ for in IBISWorld reports.

5. AI Assistant Integration (MCP Server)

This actor functions as an MCP Server for Claude and other AI assistants:

"What's the Google rating for Joe's Pizza in NYC?"
"How does my client compare to their top 3 competitors?"
"Run a full audit and tell me the top 5 priorities"

Your AI assistant becomes a local SEO expert.

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Quick Start Examples

Example 1: Full Business Audit ($2)

{
  "task": "full_audit",
  "businessName": "Joe's Pizza",
  "city": "New York",
  "state": "NY",
  "website": "https://joespizza.com",
  "keywords": ["pizza near me", "best pizza nyc"],
  "competitors": ["Ray's Pizza", "Famous Original Pizza"]
}

Returns: GBP profile, reviews across platforms, local rankings, website SEO score, competitor comparison, overall score (0-100), and prioritized recommendations.

Example 2: Market Intelligence (Census Data)

{
  "task": "market_intelligence",
  "businessName": "Joe's Pizza",
  "city": "New York",
  "state": "NY",
  "zipCode": "10001"
}

Returns: Population demographics, median income, competitor counts from County Business Patterns, industry statistics from SBA, 5-year market projections, "dollars up for grabs" calculation.

Example 3: Reddit Intelligence

{
  "task": "reddit_research",
  "businessName": "Joe's Pizza",
  "city": "New York",
  "state": "NY"
}

Returns: Business mentions on Reddit, local subreddit discussions (r/nyc, r/newyorkcity), competitor mentions, "best pizza" recommendation threads, sentiment analysis.

Example 4: LocalFalcon-Style Grid Tracking

{
  "task": "serp_track",
  "businessName": "Joe's Pizza",
  "city": "New York",
  "state": "NY",
  "keywords": ["pizza near me", "best pizza"],
  "gridSize": 7,
  "gridRadius": 2
}

Returns: Local pack rankings, 7x7 grid (49 points) showing rank at each location, visibility score, heatmap data.

Example 5: With Webhook (Zapier/Make/n8n)

{
  "task": "gbp_scrape",
  "businessName": "Joe's Pizza",
  "city": "New York",
  "state": "NY",
  "webhookUrl": "https://hooks.zapier.com/hooks/catch/12345/abcdef/"
}

Results automatically POST to your webhook when complete.

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Webhook Integration (Zapier, Make, n8n)

Webhook Payload Format

When the task completes, we POST:

{
  "event": "task_completed",
  "timestamp": "2024-12-18T20:00:00.000Z",
  "actor": "local-business-intelligence-suite",
  "runId": "abc123",
  "task": "gbp_scrape",
  "status": "success",
  "businessName": "Joe's Pizza",
  "location": "New York, NY",
  "duration": 45000,
  "dataPoints": 150,
  "data": { ... },
  "meta": {
    "taskType": "gbp_scrape",
    "success": true,
    "estimatedCost": 1.15
  }
}

Zapier Setup

1. Create a new Zap with "Webhooks by Zapier" as trigger
2. Select "Catch Hook"
3. Copy the webhook URL
4. Paste into the webhookUrl field when running the actor
5. Add actions: Send to Google Sheets, Slack, email, CRM, etc.

Make (Integromat) Setup

1. Create a new Scenario with "Webhooks" module
2. Select "Custom webhook"
3. Copy the webhook URL
4. Add to actor input
5. Build your automation flow

n8n Setup

1. Create a new Workflow with "Webhook" node
2. Set HTTP Method to POST
3. Copy the test/production URL
4. Add to actor input
5. Connect to your data destinations

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Perfect For

Local SEO Agencies

• Client onboarding: Run full_audit to establish baselines in minutes, not hours
• Monthly reporting: Automate serp_track and review_scrape for all clients
• Competitive pitches: Show prospects their gaps vs. competitors with real data

Marketing Agencies

• Lead qualification: Use tech_stack_scan to identify high-value prospects
• Reputation management: Monitor reviews across all platforms with sentiment analysis
• Content strategy: Use keyword_research and reddit_research for topic ideas

Franchise & Multi-Location Brands

• Citation consistency: Audit NAP across all locations at once
• Performance benchmarking: Compare locations against each other
• Market expansion: Use market_intelligence before opening new locations

Business Consultants

• Market entry analysis: Census data + competitor counts = informed recommendations
• Business valuations: Review volume, sentiment, and market position data
• Growth planning: 5-year projections based on County Business Patterns

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Input Parameters

Required for All Tasks

Parameter	Type	Description
task	string	The intelligence task to run (18 options)
businessName	string	Name of the business to analyze
city	string	City where the business is located
state	string	State abbreviation (e.g., "NY", "CA")

Optional Parameters

Parameter	Type	Default	Description
address	string	-	Street address (improves accuracy)
phone	string	-	Business phone number
website	string	-	Business website URL
gbpUrl	string	-	Direct GBP URL (skips search)
keywords	array	-	Keywords for SERP tracking
gridSize	number	3	Map grid size (7 = 7x7 = 49 points)
gridRadius	number	1	Distance between grid points (miles)
competitors	array	-	Competitor business names
reviewPlatforms	array	["google", "yelp"]	Platforms to scrape reviews from
maxReviews	number	100	Max reviews per platform
maxPages	number	50	Max pages to crawl for website analysis
includeSentiment	boolean	true	Include AI sentiment analysis for reviews
zipCode	string	-	ZIP code for market intelligence (Census data)
webhookUrl	string	-	Webhook URL for Zapier/Make/n8n integration

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Pay-Per-Event Pricing (18 Consolidated Events)

You only pay for what you use. No monthly fees. No minimums.

The pricing uses 18 consolidated billing events with per-unit pricing. The count parameter multiplies the unit price based on data extracted.

Event Name	Description	Price/Unit
gbp_data	1 GBP profile, review, or photo extracted	$0.02
review_data	1 review scraped from any platform	$0.01
grid_point	1 SERP grid point checked	$0.005
citation_check	1 directory checked for NAP consistency	$0.01
backlink_found	1 backlink discovered and analyzed	$0.01
social_profile	1 social platform profile checked	$0.02
keyword_research	1 keyword with search volume data	$0.01
response_analysis	1 review response analyzed	$0.005
photo_analysis	1 GBP photo analyzed for quality	$0.01
hours_audit	1 hours/attributes comparison	$0.01
tech_scan	1 tracker/pixel detected	$0.01
reputation_data	1 platform scraped for reputation	$0.03
census_query	1 Census API query for demographics	$0.02
enrichment_lookup	1 business enrichment or lead lookup	$0.03
competitor_data	1 competitor data point collected	$0.01
website_page	1 page crawled or file checked	$0.01
lookalike_found	1 lookalike business discovered	$0.02
reddit_post	1 Reddit post/comment scraped	$0.005

How Per-Unit Pricing Works

Each event charges based on the actual data extracted:

Task	Event	Example Calculation
GBP Scrape (100 reviews, 20 photos)	gbp_data	(1 + 100 + 20) × $0.02 = $2.42
Multi-Platform Reviews (3 platforms, 150 reviews)	review_data	(3 + 150) × $0.01 = $1.53
SERP Track (5 keywords, 7×7 grid)	serp_data	(5 + 49) × $0.005 = $0.27
Citation Audit (20 directories)	citation_data	(1 + 20) × $0.01 = $0.21
Reddit Research (20 posts, 50 comments)	reddit_data	(1 + 20 + 50) × $0.005 = $0.36
Full Audit	full_audit	1 × $2.00 = $2.00

Cost Comparison

Task	This Actor	Traditional Tool
100 GBP audits/month	~$115	BrightLocal: $39/mo
Local rank tracking (50 keywords)	~$2.50	LocalFalcon: $29/mo
Review monitoring (10 clients)	~$33	GatherUp: $99/mo
Citation audit (10 clients)	~$6.50	Moz Local: $14/mo
Total	~$157	$181/mo

And you get 14 more modules the others don't offer.

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Output Format

All tasks return structured JSON:

{
  "task": "market_intelligence",
  "status": "success",
  "businessName": "Joe's Pizza",
  "location": "New York, NY",
  "timestamp": "2024-12-18T20:00:00.000Z",
  "duration": 12000,
  "dataPoints": 25,
  "data": {
    "location": {
      "city": "New York",
      "state": "NY",
      "zipCode": "10001",
      "county": "New York County",
      "stateFips": "36",
      "countyFips": "061"
    },
    "population": {
      "current": 21102,
      "medianIncome": 78250,
      "growthRate": 0.012,
      "projected5Year": 22384
    },
    "competition": {
      "localEstablishments": 127,
      "localEmployees": 1893,
      "avgEmployeesPerBusiness": 14.9,
      "marketSharePotential": 823000
    },
    "marketSizing": {
      "estimatedLocalMarket": 104521000,
      "dollarsUpForGrabs5Year": 12800000
    },
    "projections": {
      "projected5YearCompetitors": 142,
      "projected5YearMarket": 117300000,
      "opportunities": [...]
    },
    "dataSources": ["US Census Bureau", "County Business Patterns", "SBA"]
  },
  "billingEvents": [...]
}

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API Integration

Using the Apify API

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('localhowl/local-business-intelligence-suite').call({
  task: 'market_intelligence',
  businessName: "Joe's Pizza",
  city: 'New York',
  state: 'NY',
  zipCode: '10001',
  webhookUrl: 'https://your-webhook.com/endpoint'
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].data);

Using cURL

curl -X POST "https://api.apify.com/v2/acts/localhowl~local-business-intelligence-suite/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "task": "full_audit",
    "businessName": "Joes Pizza",
    "city": "New York",
    "state": "NY",
    "webhookUrl": "https://hooks.zapier.com/hooks/catch/..."
  }'

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MCP Server (AI Assistant Integration)

This actor functions as an MCP Server (Model Context Protocol), allowing AI assistants like Claude to directly query local business intelligence.

Available MCP Tools

Tool	Description
get_business_profile	Get GBP data (rating, reviews, hours, etc.)
get_reviews	Scrape reviews with sentiment analysis
track_local_rankings	Track local pack rankings + grid analysis
enrich_business	Find social profiles and contacts
analyze_website	Run SEO audit on a website
compare_competitors	Compare businesses head-to-head
scan_tech_stack	Detect 50+ tracking codes and pixels
audit_citations	Check NAP consistency across directories
analyze_backlinks	Find local backlinks
scan_social_presence	Analyze social media profiles
research_keywords	Suggest local keywords
analyze_review_responses	Measure response rates
analyze_photos	Audit GBP photo quality
audit_hours_attributes	Compare vs competitors
research_reddit	Find Reddit mentions and discussions
analyze_market	Get Census/SBA market data
full_business_audit	Comprehensive audit with recommendations

Setting Up MCP Server

1. Add to Claude Desktop config (~/.config/claude/claude_desktop_config.json):

{
  "mcpServers": {
    "local-seo": {
      "command": "npx",
      "args": ["localhowl-local-seo-mcp"]
    }
  }
}

2. Restart Claude Desktop and start asking questions!

Example Conversations

User: "What's the Google rating for Joe's Pizza in NYC?"

Claude: Uses get_business_profile tool

Joe's Pizza has a 4.7 star rating with 523 reviews. The profile is verified. They have 12 posts and 45 photos.

User: "What's the market opportunity in that ZIP code?"

Claude: Uses analyze_market tool

ZIP 10001 has 21,102 residents with a median household income of $78,250. There are 127 pizza restaurants in the county employing 1,893 people. Based on 5-year population projections and market growth, there's approximately $12.8M in new revenue opportunity for market entrants.

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Changelog

v1.6.0 (December 2024)

• NEW: Reputation Aggregator - Smart multi-platform review aggregation
• Auto-detects business type from GBP category (100+ categories mapped)
• Platforms auto-enabled by type: restaurants get Yelp/TripAdvisor/DoorDash, attorneys get Avvo, healthcare gets HealthGrades, etc.
• BYOK support: D&B Direct+ (firmographics), TripAdvisor Content API, G2 API
• Scrapers for: Yelp, BBB, Trustpilot, Angi, Houzz, Avvo, HealthGrades, Glassdoor, Clutch
• Unified reputation score (0-100) weighted by platform importance

v1.5.0 (December 2024)

• Market Intelligence: US Census Bureau, County Business Patterns, SBA data
• Population demographics, competitor counts, market sizing
• 5-year projections and "dollars up for grabs" calculations
• Webhook support: Native integration with Zapier, Make, n8n
• Multiple webhook URLs supported

v1.4.0 (December 2024)

• Reddit Research: Business mentions, local discussions, competitor intel
• Recommendation thread discovery
• Sentiment analysis for Reddit posts and comments

v1.3.0 (December 2024)

• 7 NEW intelligence modules: Citation Audit, Backlink Analysis, Social Presence, Keyword Research, Review Response Analysis, Photo Analysis, Hours & Attributes Audit
• Technical SEO scan (robots.txt, sitemap.xml, llms.txt, security.txt)
• Total tasks now: 15 specialized intelligence modules

v1.2.0 (December 2024)

• Tech Stack Scan module
• Detect 50+ tracking codes, analytics, pixels, CMS platforms

v1.0.0 (December 2024)

• Initial release with 7 intelligence tasks
• Pay-per-event pricing
• Sentiment analysis for reviews
• Map grid analysis for local rankings

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Limitations

• Facebook: Limited to public data (no authenticated scraping)
• Rate Limiting: Built-in delays to avoid blocks
• Geographic Data: Uses ZIP centroid coordinates; for precise locations, provide exact coordinates
• LinkedIn: Public company data only
• Census Data: US only (uses Census Bureau APIs)

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Support

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Built by John Rippy | johnrippy.link

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Keywords

local seo, google business profile scraper, gbp scraper, local pack ranking, localfalcon alternative, brightlocal alternative, moz local alternative, review scraper, citation audit, mcp server, ai assistant, claude integration, zapier integration, make integration, n8n integration