Google Maps & OSM Lead Generator + Market Coverage Analyzer

🚀 Google Maps & OpenStreetMap Lead Generator + Market Coverage & Catchment Analyzer

Extract business leads and analyze market coverage using Google Maps and OpenStreetMap (OSM) data. This Actor combines business lead generation with geo-intelligence automation to help you evaluate service accessibility, competitor density, and market saturation around any location. It performs spatial catchment analysis to measure how well an area is served by key services such as food, retail, healthcare, education, beauty, and professional offices.

🎯 Designed For • 🏙 Urban & regional planners • 🏢 Retail & real estate analysts • 🏥 Healthcare network planners • 🏫 Education infrastructure teams • 📊 Location intelligence professionals • 📈 Marketing agencies • 💼 Business consultants • 🗺 GIS professionals • 🚀 Startup founders

🚀 What This Actor Does For each anchor location and custom radius (e.g., 500m / 1000m / 2000m), the Actor: • Retrieves services from Google Maps and OpenStreetMap (Overpass API) • Extracts local businesses by category (POI extractor) • Applies strict taxonomy filtering • Calculates service counts per category • Calculates competitor density within radii • Computes nearest service distance • Determines coverage adequacy (adequate / insufficient) • Identifies underserved zones • Exports planner-ready structured datasets • Collects business name, address, phone, website, email (if available) • Generates Excel-ready tables and AI-ready JSON outputs No scraping of private platforms. No login required. Runs under LIMITED PERMISSIONS.

🧠 Core Features ✔ Group-Based Planning Taxonomy Supports high-level category groups: • FOOD & BEVERAGE • DAILY RETAIL • HEALTH • EDUCATION • PROFESSIONAL / OFFICE • BEAUTY Each group expands into detailed service categories for structured analysis.

📊 Outputs The Actor generates: 1️. Coverage Metrics (KPI Table) catchment_metrics.xlsx / csv • Anchor × radius × category grid • Services count • Nearest distance • Coverage adequacy flag Ideal for: • Site selection • Expansion planning • Urban accessibility audits • Power BI / Excel dashboards

2. Business Leads Dataset entities_within_radius.xlsx / csv • Business name • Address • Website • Phone • Email (if available) • Category classification • Distance from anchor Ideal for: • Lead generation • CRM import • Competitor mapping • Local SEO research

3️.AI-Ready JSON summary.json Structured machine-friendly output for: • Automation workflows • RAG systems • Location intelligence APIs • Internal data pipelines

🏢 Business Use Cases • Franchise expansion planning • Retail site selection • Competitor density analysis • 15-minute city service coverage studies • Real estate feasibility analysis • Insurance territory evaluation • Local marketing territory design • Market saturation assessment

🔍 Keywords (for Apify Search Visibility) This Actor functions as a: • Google Maps scraper • OpenStreetMap scraper • Business leads extractor • POI data extractor • Catchment analysis tool • Market coverage analyzer • Location intelligence engine • Site selection analytics tool

🧠 How Market Coverage Works

1. Select categories (e.g., restaurant, pharmacy, dentist)
2. Set one or multiple radii (e.g., 500m, 1000m, 3000m)
3. Actor extracts businesses
4. Actor calculates competitor count within each radius
5. Generates structured output for analysis

For every: • Anchor location • Radius (e.g., 500m, 1000m, 2000m etc.) • Service category The Actor calculates: • services_count • nearest_distance_m • coverage_status (adequate / insufficient) • coverage_adequate (boolean)

✔ Raw Entity Export Mode

When outputMode = "raw": Exports each entity inside the radius including: • Entity name • Distance from anchor • Business type (taxonomy-aligned) • Phone • Email • Website • Brand • Operator • Full OSM tags (JSON) Perfect for: • CRM enrichment • Retail mapping • Gap analysis • Business intelligence

📦 Outputs 1️⃣ Dataset (Apify dataset) Contains structured catchment metrics: • anchor_id • anchor_name • radius_m • category_group • category_id • services_count • nearest_distance_m • coverage_status Store-ready and analytics-ready.

2️⃣ CSV Export • catchment_metrics.csv • entities_within_radius.csv (if raw mode enabled)

3️⃣ XLSX Export Excel-ready for planners and business analysts.

4️⃣ summary.json High-level study summary including: • Total services found • Coverage distribution • Number of anchors • Categories analyzed

🤖 AI-Ready Mode

Enable AI-ready output to generate structured location intelligence summaries for:

• RAG systems
• LLM-powered dashboards
• Location recommendation engines
• Automated market scoring

🛠 Example Input { "studyName": "Planning Demo", "anchors": [ { "anchor_id": "A1", "anchor_name": "Study Center", "anchor_type": "origin", "lat": 34.2011, "lon": -118.4148 } ], "radiiMeters": [500, 1000, 2000], "serviceCategoryGroups": [ "food_beverage", "daily_retail", "health", "education", "beauty", "professional_office" ], "strictMode": true, "outputMode": "raw", "outputFormats": ["dataset", "csv", "xlsx", "summaryJson"] }

🗂 Supported Category Groups Group Examples FOOD & BEVERAGE Restaurant, Fast Food, Cafe, Bar DAILY RETAIL Supermarket, Grocery, Bakery HEALTH Pharmacy, Clinic, Hospital, Dentist EDUCATION School, Kindergarten, University PROFESSIONAL / OFFICE Lawyer, Accountant, Real Estate BEAUTY Hairdresser, Salon, Spa

⚙ Technical Details • Data Source: OpenStreetMap (Overpass API) • Geometry: Haversine distance calculation • Spatial model: Radial catchment • Permissions: LIMITED • Login required: No • Browser automation: No • Authentication: Not required Built for stability and repeatable spatial analysis.

🧭 Use Cases Urban Planning Evaluate service accessibility gaps within walking distance. Retail Expansion Identify underserved retail zones. Healthcare Coverage Assess proximity to clinics and pharmacies. Real Estate Analysis Measure neighborhood service density. Market Entry Research Evaluate competitive saturation.

🔍 Strict Mode When enabled: • Only services matching exact taxonomy rules are included. • Prevents category contamination. • Ensures planner-grade reliability. Recommended for professional analysis.

📊 Designed for the Apify Store This Actor: • Uses structured dataset output • Runs under limited permissions • Does not scrape private platforms • Uses stable public spatial APIs • Exports clean CSV/XLSX • Is suitable for automated workflows Fully compliant with Apify Store best practices.

🧩 Relationship to Other Actors This Actor is fully independent. It is not wired to: • Directory scrapers • E-commerce scrapers • CRM extraction tools It is a dedicated Location Intelligence & Accessibility Analysis engine.

🛣 Roadmap Future enhancements may include: • Service density per km² • Population normalization • Service gap scoring • GeoJSON export • Heatmap-ready layers

📌 Why Use This Actor? Because accessibility intelligence drives: • Better planning decisions • Smarter retail strategy • Infrastructure investment clarity • Competitive location analysis