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Google Maps Business Scraper v3.0

Extract 28+ data fields from Google Maps business listings — ideal for lead generation, market research, local SEO analysis, and data enrichment.

Features

• 🔍 Search by keyword + location — e.g. "plumber new york", "restaurant san francisco"
• 📊 28 fields across 5 data layers — from basic contact info to AI-powered business intelligence
• 📦 Batch processing — multiple search queries in a single run
• 🌐 Multi-language — English, Chinese, Japanese, Korean, German, French, Spanish
• 🏢 Website enrichment — extract emails and social media links from business websites
• 🧠 AI Business Intelligence — GPT-4o-mini analysis: tier, health, lead score, competitive strength, tags
• ⚡ Fast parallel extraction — concurrent browser contexts for high throughput
• 🗺️ Distance-based filtering — filter results by radius from a search center point
• 🚫 Closed business filter — remove permanently or temporarily closed businesses

Data Layers

The output is organized into 5 layers, ranging from always-present fields to optional AI-powered enrichment.

Layer 1 — Base (always present)

Layer 2 — Extended (always present)

Layer 3 — Enrichment (requires enrichFromWebsite: true)

Emails containing noreply, donotreply, spamtrap, mailer-daemon, or postmaster are automatically filtered out. Supported social platforms: instagram, facebook, twitter, x, linkedin, tiktok, youtube, pinterest, yelp.

Layer 4 — AI Intelligence (requires enableAI: true + OpenAI API key)

Model: gpt-4o-mini with response_format: json_object. Requires an OpenAI API key (passed via input or the OPENAI_API_KEY environment variable).

Layer 5 — Meta (always present, auto-generated)

Failed records are pushed to the dataset with an error field so failures are visible without aborting the run.

Input

Language Options

• en — English
• zh-CN — Chinese (Simplified)
• ja — Japanese
• ko — Korean
• de — German
• fr — French
• es — Spanish

Example

Input:

{
"searchStrings":["coffee shop tokyo","ramen shinjuku"],
"maxResults":20,
"language":"en",
"onlyOpen":true,
"enrichFromWebsite":true,
"enableAI":true,
"openaiApiKey":"sk-..."
}

Output (sample — 1 of 20 results):

{
"name":"Blue Bottle Coffee",
"rating":4.5,
"reviewsCount":823,
"address":"1-4-8 Jingumae, Shibuya, Tokyo",
"phone":"+81 3-1234-5678",
"website":"https://bluebottlecoffee.jp",
"category":"Coffee shop",
"coordinates":{"lat":35.6677,"lng":139.7106},
"searchQuery":"coffee shop tokyo",
"hours":["Monday: 8 AM–6 PM","Tuesday: 8 AM–6 PM","Wednesday: 8 AM–6 PM","Thursday: 8 AM–6 PM","Friday: 8 AM–7 PM","Saturday: 9 AM–7 PM","Sunday: 9 AM–6 PM"],
"priceLevel":"Moderate",
"description":"Trendy cafe chain offering specialty coffee, pastries, and a minimalist atmosphere.",
"photosCount":348,
"plusCode":"VQGP+4F Tokyo, Japan",
"latitude":35.6677,
"longitude":139.7106,
"emails":["hello@bluebottlecoffee.jp"],
"social":{
"instagram":"https://instagram.com/bluebottle",
"facebook":"https://facebook.com/bluebottlecoffee"
},
"tier":"premium",
"targetAudience":"Coffee enthusiasts and remote workers seeking quality espresso.",
"businessHealth":"thriving",
"leadScore":92,
"competitiveStrength":"strong",
"tags":["specialty-coffee","remote-work-friendly","minimalist"]
}

Pricing

Note: AI analysis (Layer 4) and website enrichment (Layer 3) consume additional tokens/bandwidth and may increase run duration.

Use Cases

• 🏢 Lead generation — collect contact info, emails, and social links for local businesses
• 📈 Market research — analyze competitor density, ratings, pricing tiers, and market positioning
• 🔍 Local SEO — audit business listings, check hours, monitor closed/paused operations
• 🗺️ Data enrichment — add location data, social profiles, and AI insights to your CRM
• 🧠 Sales intelligence — use lead scores, business health, and tags to prioritize outreach

Technical Details

• Stack: Playwright (Chromium) + Node.js + Apify SDK
• Browser: Headless Chrome with anti-detection user agent
• Parallelism: Configurable concurrent browser contexts (default: 5, max: 10)
• Resilience: Auto-retry on failures, error records for failed extractions
• Runtime: Runs on Apify's cloud infrastructure with auto-scaling
• Output: Apify dataset (viewable in Console) + local storage/results.json

Version History

• v3.0 — 28 fields across 5 layers: AI intelligence, website enrichment, hours, price level, photos count, distance filtering, closed business filter, error records
• v1.2 — Core fields, parallel extraction, multi-language, Apify deployment
• v1.0 — MVP with Playwright-based scraping

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