Google Maps & OSM Lead Generator + Market Coverage Analyzer

🚀 Google Maps & OSM Lead Generator + Market Analyzer

Extract business leads and measure market coverage & competitor density within custom radii — in seconds. Turn Google Maps and OpenStreetMap (OSM) data into actionable location intelligence.

This Actor combines: • Business lead generation • Catchment analysis • Competitor density measurement • Service accessibility scoring • Market coverage evaluation Built for decision-makers — not just data collectors.

💰 Typical Cost Example A standard 200-business analysis usually costs less than $0.50. You only pay for generated results.

🚀 Quick Start (30 Seconds)

1. Enter your anchor location
2. Select service categories
3. Set radius (e.g., 500m / 1000m / 2000m)
4. Click Run You’ll receive structured Excel and AI-ready outputs instantly. No login required. No private platform scraping. Runs under LIMITED permissions.

🧭 How This Actor Is Different Many tools only extract businesses from Google Maps or OpenStreetMap. This Actor goes further. It combines: • Google Maps & OSM business extraction • Structured taxonomy filtering • Spatial catchment analysis • Competitor density measurement • Coverage adequacy scoring • Accessibility evaluation within custom radii Instead of raw data, it delivers actionable market intelligence — helping you determine whether an area is: • Saturated • Underserved • Expansion-ready It is not just a scraper. It is a geo-intelligence automation engine.

🎯 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 radius: • Extracts local businesses from Google Maps & OpenStreetMap • Classifies services using structured planning taxonomy • Calculates competitor density within custom radii • Computes nearest service distance • Flags coverage adequacy (adequate / insufficient) • Identifies underserved zones • Exports structured planner-ready datasets • Collects business name, address, phone, website, email (if available) • Generates Excel-ready tables and AI-ready JSON outputs

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

2️. Business Leads Dataset entities_within_radius.xlsx / .csv Includes: • 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 output for: • Automation workflows • RAG systems • Location intelligence APIs • Internal data pipelines

🧠 How Market Coverage Works

1. Select service categories (e.g., restaurant, pharmacy, dentist)
2. Set one or multiple radii
3. Actor extracts businesses
4. Calculates competitor count within each radius
5. Computes nearest distance
6. Flags adequate vs insufficient coverage For every: • Anchor location • Radius • Service category The Actor calculates: • services_count • nearest_distance_m • coverage_status • coverage_adequate

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

🛠 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" ], "strictMode": true, "outputMode": "raw", "outputFormats": ["dataset", "csv", "xlsx", "summaryJson"] }

🔌 API & Automation Ready This Actor can be: • Triggered via Apify API • Scheduled • Integrated into workflows • Used for recurring market monitoring Perfect for automated lead generation pipelines.

❓ Frequently Asked Questions (FAQ) What data sources does this Actor use? Public OpenStreetMap (Overpass API) and publicly accessible Google Maps data. No login required.

Is this just a Google Maps scraper? No. Unlike standard Google Maps scrapers or POI extractors, this Actor performs structured catchment analysis and market coverage evaluation in addition to business extraction. It transforms raw map data into actionable location intelligence

What business information is included? Where available: • Business name • Category • Phone • Website • Email • Distance from anchor • OSM tags Data depends on public map contributions.

What is catchment analysis? Catchment analysis measures how well an area is served within a specific radius. It helps identify: • Underserved zones • High-competition areas • Expansion opportunities Outputs are ready for:

• Excel
• Power BI
• GIS tools
• CRM imports
• AI automation workflows

How much does a typical run cost? A typical 200-business analysis usually costs less than $0.50 Pricing is usage-based. You only pay for generated results.

Why might I see Overpass warnings? OpenStreetMap’s Overpass API may rate-limit during peak hours. The Actor includes retry logic and fallback endpoints. Is this compliant with platform policies?

Yes. This Actor:

• Uses publicly available data
• Does not require login
• Does not scrape private user accounts
• Runs under limited permissions

Can I automate this? Yes. The Actor supports full API integration and workflow automation.

🔎 Related Keywords Google Maps scraper OpenStreetMap scraper Business leads extractor POI data extractor Catchment analysis tool Market coverage analyzer Location intelligence automation Site selection analytics

📌 Why Use This Actor? Because accessibility intelligence drives: • Better planning decisions • Smarter retail strategy • Infrastructure investment clarity • Competitive location analysis Make faster, data-driven location decisions — in seconds.