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US Restaurant Database β€” Business Data by Cuisine

Extract US restaurant business data from Manta.com by category and cuisine β€” coffee shops, pizzerias, fast food, fine dining. Collect phone, website, address, employee size, and SIC codes for a restaurant industry database or sales prospecting.

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Manta Scraper | US B2B Leads & Firmographics | NAICS SIC
Manta Scraper | US B2B Leads & Firmographics | NAICS SICahmed_jasarevic/manta-scraper
Profile URL
Business Name
Category
Address
+15 fields
Text
Number
Boolean
List
Object

Input

Search Queries
url:https://www.manta.com/search?search=coffee+shop
Max Items:500
Max Search Result Pages:10

Output fields

Profile URL
Business Name
Category
Address
City
State
ZIP
Phone
Website
Email
Hours
Description
Employees
Year Founded
Annual Revenue
SIC Code
NAICS Code
Social Links
Claimed

How it works

Sign up on Apify or log in

The Manta Scraper | US B2B Leads & Firmographics | NAICS SIC Actor is ready to run with the inputs already set for "US Restaurant Database β€” Business Data by Cuisine". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "US Restaurant Database β€” Business Data by Cuisine" task

The Manta Scraper | US B2B Leads & Firmographics | NAICS SIC Actor will start running based on the input automatically. You can also change all the input fields, like search queries, max items, and more, to match your specific use case.

Receive the "US Restaurant Database β€” Business Data by Cuisine" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as profile url, business name, category, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "US Restaurant Database β€” Business Data by Cuisine" task via API.

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