US Restaurant Owner Lead Scraper — emails + AI cold email avatar

US Restaurant Owner Lead Scraper — emails + AI cold email

Pricing

from $4.00 / 1,000 lead delivereds

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US Restaurant Owner Lead Scraper — emails + AI cold email

US Restaurant Owner Lead Scraper — emails + AI cold email

Scrape US restaurant owner contacts from Google Maps with verified emails and AI-generated cold emails. Ideal for POS sales reps, food vendors, restaurant insurance brokers.

Pricing

from $4.00 / 1,000 lead delivereds

Rating

0.0

(0)

Developer

Nguyễn Tuấn Thành

Nguyễn Tuấn Thành

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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US Restaurant Owner & Manager Lead Scraper

Get verified owner/manager contact info for US restaurants — filtered by cuisine, Yelp rating, delivery platform, and city — so you can pitch the operators who actually need your product.

Selling to restaurants is brutal because the owner is in the kitchen, not behind a desk. This actor surfaces the data that lets you skip the gatekeeper: direct phone numbers, owner names (where listed), current POS / delivery / reservation stack, cuisine type, and review velocity — so your outreach lands on the operators most likely to buy.


What you get per lead

Restaurant identity

  • Restaurant name + DBA
  • Owner / GM name (where publicly listed on Google Maps, Yelp, or website)
  • Owner email + general info email (verified)
  • Direct phone + reservation line
  • Website + online ordering URL

Cuisine & format

  • Cuisine type (Italian, Thai, Mexican, BBQ, sushi, vegan, bakery, coffee shop, etc.) — multi-tag
  • Restaurant format (fast casual, fine dining, QSR, ghost kitchen, food truck, bar & grill, cafe)
  • Price level ($, $$, $$$, $$$$)
  • Alcohol served (full bar / beer & wine / none)
  • Outdoor seating (yes/no)
  • Estimated seating capacity (from photos + venue cues)

Tech stack signals (huge for SaaS sellers)

  • Reservation platform (OpenTable, Resy, Tock, Yelp Reservations, none)
  • Online ordering provider (Toast, ChowNow, BentoBox, DoorDash Storefront, Square, Clover)
  • Delivery platforms active (DoorDash, Uber Eats, Grubhub, ezCater)
  • POS hints (when visible on website footer or job posts)

Reputation & traffic

  • Google rating + review count + last review date
  • Yelp rating + review count
  • Yelp "popular times" busy score
  • Photo count (proxy for engagement)
  • Currently open / temporarily closed flag

Geo & service

  • Full address + lat/lng
  • Delivery radius (when stated)
  • Hours of operation (per weekday)
  • Years in business (Google "established" data when available)

Social

  • Instagram handle + follower count
  • Facebook business page
  • TikTok (huge for newer restaurants)

3 example use cases

1. Toast / Square sales rep targeting independents who still use legacy POS

You sell modern restaurant POS at $69/month per terminal. Your ICP: independent restaurants doing 40+ reviews per month (= real revenue), NOT using Toast already. Run with googleReviewVelocity>=40 AND posProvider!=Toast AND chainSize<=3 locations. Output: 800 hot leads in Chicago alone, with the GM's direct line.

2. Restaurant insurance broker after Italian + sushi spots in NY/NJ

These two cuisines historically have higher liability claims and your carrier wants more of them. Filter cuisineType IN (italian, sushi) AND state IN (NY, NJ) AND priceLevel >= $$. You get 1,200 restaurants with owner names, current phone, and Yelp review counts so you can lead-score before dialing.

3. Ghost kitchen / virtual brand company recruiting host kitchens

You need restaurants with extra kitchen capacity to run your virtual brand. Filter googleRating>=4.0 AND deliveryPlatforms CONTAINS uber_eats AND priceLevel<=$$ AND outdoorSeating=false. The actor surfaces operators already comfortable with delivery — easier sell than converting a fine-dining holdout.

4. (Bonus) Food supplier rep

Targeting Thai restaurants for a new coconut milk SKU? Filter cuisineType=thai AND city IN top-20 metros. 3,000 buyers, each with a kitchen manager phone number.


Pricing

Option A — Rental: $29/month Unlimited runs. Best for vendors prospecting weekly.

Option B — Pay-Per-Event: $0.025 per lead No subscription. Pay only for delivered leads. Cheaper than Yelp Ads CPC ($3–$30).

Free tier: first 50 leads free.


Output schema example

{
"name": "Mama Lucia's Trattoria",
"ownerName": "Lucia Romano",
"managerName": "Marco Romano",
"profession": "restaurant",
"email": "info@mamalucias.com",
"ownerEmail": "lucia@mamalucias.com",
"emailStatus": "verified",
"phone": "+1-312-555-0188",
"reservationPhone": "+1-312-555-0189",
"website": "https://mamalucias-chicago.com",
"cuisineType": ["italian", "wine bar"],
"restaurantFormat": "casual dining",
"priceLevel": "$$",
"alcoholServed": "full bar",
"outdoorSeating": true,
"estimatedSeating": 68,
"reservationPlatform": "OpenTable",
"onlineOrderingProvider": "Toast",
"deliveryPlatforms": ["DoorDash", "Uber Eats", "Grubhub"],
"googleRating": 4.6,
"googleReviewCount": 1247,
"googleLastReviewAt": "2025-05-19",
"yelpRating": 4.5,
"yelpReviewCount": 892,
"yelpUrl": "https://yelp.com/biz/mama-lucias-chicago",
"yearsInBusiness": 14,
"address": "234 W Randolph St, Chicago, IL 60606",
"lat": 41.8842,
"lng": -87.6376,
"hours": {
"mon": "16:00-22:00",
"tue": "16:00-22:00",
"wed": "16:00-22:00",
"thu": "16:00-23:00",
"fri": "16:00-00:00",
"sat": "12:00-00:00",
"sun": "12:00-21:00"
},
"deliveryRadiusMiles": 5,
"googleMapsUrl": "https://maps.google.com/?cid=...",
"instagram": "@mamaluciaschicago",
"instagramFollowers": 18400,
"facebook": "https://facebook.com/mamaluciaschicago",
"tiktok": "@mamalucias",
"scrapedAt": "2025-05-21T14:32:00Z"
}

Roadmap

  • v1.0 (now) — Google Maps + Yelp enrichment + tech stack detection
  • v1.1 — Liquor license status lookup (state ABC databases)
  • v1.2 — Chain detection + corporate parent linking
  • v1.3 — Menu price extraction (avg entree price)
  • v1.4 — Instagram engagement rate (not just follower count)
  • v2.0 — Health inspection grade lookup (NYC, LA, Chicago)

Built by an indie dev — DM via Apify Issues for feature requests. Replies within 12 hours.