Restaurant Leads from Google Maps

Find restaurant, cafe, brunch, bakery, bar, and coffee shop leads from Google Maps, then export outreach-ready business records with phones, websites, ratings, review counts, addresses, opening hours, price ranges, categories, and local demand signals.

What This Actor Does

This Actor is built for teams that sell to restaurants or research local food-service markets. Enter restaurant keywords plus one location, and the Actor returns structured Google Maps leads that you can export to CSV, Excel, or JSON.

It helps when you want to:

• build restaurant prospect lists for sales outreach
• find cafes, bars, bakeries, brunch spots, pizza restaurants, or other food-service businesses in a city
• qualify restaurant leads by phone, website, rating, review count, category, hours, and price range
• compare local restaurant density, review signals, service options, and nearby competitors
• avoid manually copying Google Maps rows into spreadsheets

Quick Start

1. Keep maxBusinesses: 1 for the first preview run. This default is intentionally small so Apify automated quality tests and first-time previews finish quickly.
2. Start with one keyword, such as coffee shop. Add more restaurant terms only after the preview succeeds.
3. Enter one location, such as Austin, Texas, New York, New York, or London, United Kingdom.
4. Keep includeDetails: false for the fastest preview. Turn it on for production exports when you need opening hours, price range, review signals, and richer qualification fields.
5. Click Run and download the dataset from Apify as CSV, Excel, or JSON.

Use Cases

Restaurant SaaS sales
Build lead lists for POS systems, delivery software, booking tools, review management, loyalty programs, menu platforms, and restaurant operations products.

Local SEO and marketing services
Find restaurants with strong demand signals, weak website coverage, low review volume, or category-specific opportunities for local SEO, ads, or reputation campaigns.

Food-service market research
Compare restaurant density, category mix, ratings, review counts, price ranges, opening hours, service options, and local competitors across cities or neighborhoods.

Territory planning
Export restaurants by target city and category so sales teams can plan outreach routes, account lists, or local campaigns.

Output Preview

Here is a simplified example of restaurant lead records you can download after a run:

Business	Category	Phone	Website	Rating	Reviews	Address
Moonshot Coffee	Coffee shop	+1 206-620-0315	toasttab.com/moonshotcoffee	4.8	298	9622 16th Ave SW, Seattle, WA
Ember Table	Restaurant	+1 512-555-0184	embertable.example	4.6	1,142	120 Congress Ave, Austin, TX
Northside Bakery	Bakery	+1 718-555-0108	northsidebakery.example	4.7	624	69 Grand St, Brooklyn, NY

The same record can also include:

Field group	Example fields
Lead identity	title, categoryName, categories, placeId, cid
Contact fields	phone, phoneUnformatted, website, address
Location detail	street, district, city, postalCode, countryCode, location.lat, location.lng
Restaurant signals	totalScore, reviewCount, priceRange, currentStatus, openingHours
Service options	delivery, additionalInfo, payment options, accessibility, dine-in or takeout signals
Review context	reviewsDistribution, reviewsTags, optional sample reviews when available
Market context	peopleAlsoSearch, popularTime, imageCategories, mainPicture

Example Inputs

Fast Preview

{
  "maxBusinesses": 10,
  "keywords": ["restaurant", "coffee shop", "brunch"],
  "location": "New York, New York",
  "includeDetails": true,
  "batchDetailsPerQuery": 3
}

Restaurant Sales Territory

{
  "maxBusinesses": 50,
  "keywords": ["pizza restaurant", "italian restaurant", "bakery"],
  "location": "Austin, Texas",
  "includeDetails": true,
  "batchDetailsPerQuery": 3,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "countryCode": "US"
  }
}

Pricing

This Actor uses pay-per-event pricing:

• apify-actor-start: $0.00005 for each run
• apify-default-dataset-item: $0.0012 for each restaurant, cafe, bar, bakery, brunch, or coffee shop record saved to the default dataset

In practice:

• A fast QA-safe preview with maxBusinesses: 1 is typically about $0.00125.
• A larger export with maxBusinesses: 1000 is typically about $1.20005.
• includeDetails changes how rich each saved lead record is; pricing is still mainly driven by the number of saved restaurant leads.

These event names mirror the current Apify Console pay-per-event configuration. Apify charges the actor start event automatically, and dataset result events are charged when the Actor saves items to the default dataset.

Best Practices

• Start with one city and 2 to 4 restaurant keywords.
• Use category-specific terms such as sushi restaurant, pizza restaurant, bakery, bar, brunch, coffee shop, or vegan restaurant.
• Keep includeDetails disabled for QA-safe previews; enable it when you need opening hours, review signals, price range, and richer lead qualification fields.
• Use maxBusinesses to control export size and cost.
• Run separate searches for different cities or territories when you need clean segmentation.

Notes

This Actor extracts public Google Maps business data. Field availability depends on what Google Maps exposes for each business. Phone numbers, websites, opening hours, price ranges, review tags, and sample reviews are not guaranteed for every restaurant.