Grepsr| Yelp Resturants Address and Reviews Data | Global Coverage with Custom and On-demand Datasets

#	id	restaurant_location	restaurant_name	review_title	rating	review_text	date	raw_date	author	number_of_reviews	author_location	url
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx
2	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx
3	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx
4	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx
5	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx
6	Xxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx
7	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx
8	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx	xxxxxxxx	Xxxxxx	Xxxxxxxxxx
9	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx
10	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx
...	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx

Data Quality

99%

data accuracy

Avail. Formats

.bin, .json, and .xml

File

Coverage

249

Countries

[Sample] Yelp reviews Sample.csv

Attribute	Type	Example	Mapping
id	String	839ff1be32156ec854b7b521e0401237
restaurant_location	String	g60763-d457808	Location ID
restaurant_name	String	daniel-new-york-4	Company Name
review_title
rating	Integer	4	Product Rating
review_text	String	The restaurant was beautiful and the service was excellen...
date	DateTime	2021-08-31T00:00:00+00:00
raw_date	Date	8/31/2021
author	String	Niluka U.
number_of_reviews	Integer	1660
author_location	String	Staten Island, NY	Location Name
url	String	https://www.yelp.com/biz/daniel-new-york-4

Embark on a culinary journey with our vast Yelp dataset! Uncover restaurant insights for strategic decisions. Discover hidden gems and elevate dining experiences. Seize the power of Yelp data today for unparalleled culinary understanding!

Use cases that can be supported with Yelp Reviews A. Market Research and Analysis: Leverage Yelp data to conduct comprehensive market research and analysis in the restaurant industry. Identify emerging culinary trends, popular cuisines, and customer preferences. Gain a competitive edge by understanding your target audience's needs and expectations. B. Competitor Analysis: Compare and contrast your restaurant with competitors on Yelp. Analyze their ratings, customer reviews, and performance metrics to identify strengths and weaknesses. Use these insights to enhance your offerings and stand out in the market. C. Reputation Management: Monitor and manage your restaurant's online reputation effectively. Track and analyze customer reviews and ratings on Yelp to identify improvement areas and promptly address negative feedback. Positive reviews can be leveraged for marketing and branding purposes. D. Pricing and Revenue Optimization: Leverage the Yelp dataset to analyze pricing strategies and revenue trends in the restaurant sector. Understand seasonal demand fluctuations, pricing patterns, and revenue optimization opportunities to maximize your restaurant's profitability. E. Customer Sentiment Analysis: Conduct sentiment analysis on Yelp reviews to gauge customer satisfaction and sentiment towards your restaurant. Use this information to improve dining experiences, address pain points, and enhance overall customer satisfaction. F. Content Marketing and SEO: Create compelling content for your restaurant's website based on popular keywords, cuisines, and dining preferences identified in the Yelp dataset. Optimize your content to improve search engine rankings and attract more potential diners. G. Personalized Marketing Campaigns: Use Yelp data to segment your target audience based on dining preferences, food habits, and demographics. Develop personalized marketing campaigns that resonate with different customer segments, resulting in higher engagement and repeat business. H. Investment and Expansion Decisions: Access historical and real-time data on restaurant performance and market dynamics from Yelp. Utilize this information to make data-driven investment decisions, identify potential areas for expansion, and assess the feasibility of new culinary ventures. I. Predictive Analytics: Utilize the Yelp dataset to build predictive models that forecast future trends in the restaurant industry. Anticipate shifts in culinary preferences, understand customer behavior, and make proactive decisions to stay ahead of the competition. J. Business Intelligence Dashboards: Create interactive and insightful dashboards that visualize key performance metrics from the Yelp dataset. These dashboards can help restaurant executives and stakeholders get a quick overview of the restaurant's performance and make data-driven decisions. Incorporating the Yelp dataset into your business processes will enhance your understanding of the restaurant market, facilitate data-driven decision-making, and provide valuable insights to drive success in the competitive culinary industry.

Africa (58)

Algeria

Angola

Benin

Botswana

Burkina Faso

Burundi

Cabo Verde

Cameroon

Central African Republic

Chad

Comoros

Congo

Congo (Democratic Republic of the)

Côte d'Ivoire

Djibouti

Egypt

Equatorial Guinea

Eritrea

Ethiopia

Gabon

Gambia

Ghana

Guinea

Guinea-Bissau

Kenya

Lesotho

Liberia

Libya

Madagascar

Malawi

Mali

Mauritania

Mauritius

Mayotte

Morocco

Mozambique

Namibia

Niger

Nigeria

Rwanda

Réunion

Saint Helena, Ascension and Tristan da Cunha

Sao Tome and Principe

Senegal

Seychelles

Sierra Leone

Somalia

South Africa

South Sudan

Sudan

Swaziland

Tanzania, United Republic of

Togo

Tunisia

Uganda

Western Sahara

Zambia

Zimbabwe

Asia (51)

Afghanistan

Armenia

Azerbaijan

Bahrain

Bangladesh

Bhutan

Brunei Darussalam

Cambodia

China

Cyprus

Georgia

Hong Kong

India

Indonesia

Iran (Islamic Republic of)

Iraq

Israel

Japan

Jordan

Kazakhstan

Korea (Democratic People's Republic of)

Korea (Republic of)

Kuwait

Kyrgyzstan

Lao People's Democratic Republic

Lebanon

Macao

Malaysia

Maldives

Mongolia

Myanmar

Nepal

Oman

Pakistan

Palestine, State of

Philippines

Qatar

Saudi Arabia

Singapore

Sri Lanka

Syrian Arab Republic

Taiwan

Tajikistan

Thailand

Timor-Leste

Turkey

Turkmenistan

United Arab Emirates

Uzbekistan

Vietnam

Yemen

Europe (51)

Albania

Andorra

Austria

Belarus

Belgium

Bosnia and Herzegovina

Bulgaria

Croatia

Czech Republic

Denmark

Estonia

Faroe Islands

Finland

France

Germany

Gibraltar

Greece

Guernsey

Holy See

Hungary

Iceland

Ireland

Isle of Man

Italy

Jersey

Latvia

Liechtenstein

Lithuania

Luxembourg

Macedonia (the former Yugoslav Republic of)

Malta

Moldova (Republic of)

Monaco

Montenegro

Netherlands

Norway

Poland

Portugal

Romania

Russian Federation

San Marino

Serbia

Slovakia

Slovenia

Spain

Svalbard and Jan Mayen

Sweden

Switzerland

Ukraine

United Kingdom

Åland Islands

North America (13)

Belize

Bermuda

Canada

Costa Rica

El Salvador

Greenland

Guatemala

Honduras

Mexico

Nicaragua

Panama

Saint Pierre and Miquelon

United States of America

Oceania (25)

American Samoa

Australia

Cook Islands

Fiji

French Polynesia

Guam

Kiribati

Marshall Islands

Micronesia (Federated States of)

Nauru

New Caledonia

New Zealand

Niue

Norfolk Island

Northern Mariana Islands

Palau

Papua New Guinea

Pitcairn

Samoa

Solomon Islands

Tokelau

Tonga

Tuvalu

Vanuatu

Wallis and Futuna

Other (9)

Antarctica

Bouvet Island

British Indian Ocean Territory

Christmas Island

Cocos (Keeling) Islands

French Southern Territories

Heard Island and McDonald Islands

South Georgia and the South Sandwich Islands

United States Minor Outlying Islands

South America (42)

Anguilla

Antigua and Barbuda

Argentina

Aruba

Bahamas

Barbados

Bolivia (Plurinational State of)

Bonaire, Sint Eustatius and Saba

Brazil

Cayman Islands

Chile

Colombia

Cuba

Curaçao

Dominica

Dominican Republic

Ecuador

Falkland Islands (Malvinas)

French Guiana

Grenada

Guadeloupe

Guyana

Haiti

Jamaica

Martinique

Montserrat

Paraguay

Peru

Puerto Rico

Saint Barthélemy

Saint Kitts and Nevis

Saint Lucia

Saint Martin (French part)

Saint Vincent and the Grenadines

Sint Maarten (Dutch part)

Suriname

Trinidad and Tobago

Turks and Caicos Islands

Uruguay

Venezuela (Bolivarian Republic of)

Virgin Islands (British)

Virgin Islands (U.S.)

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Self-reported by the provider

99%

data accuracy

Methods

Frequency

Format

Search Engine Optimization (SEO)

Market Research Business Intelligence (BI) Competitor Analysis

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What is Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets?

What is Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets used for?

This product has 4 key use cases. Grepsr recommends using the data for Search Engine Optimization (SEO), Market Research, Business Intelligence (BI), and Competitor Analysis. Global businesses and organizations buy Consumer Review Data from Grepsr to fuel their analytics and enrichment.

Who can use Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Review Data. Get in touch with Grepsr to see what their data can do for your business and find out which integrations they provide.

Which countries does Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets cover?

This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Grepsr is headquartered in United States of America.

How much does Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets cost?

Pricing information for Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets is available by getting in contact with Grepsr. Connect with Grepsr to get a quote and arrange custom pricing models based on your data requirements.

How can I get Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets?

Businesses can buy Consumer Review Data from Grepsr and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, SOAP API, Streaming API, and Feed API. Depending on your data requirements and subscription budget, Grepsr can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.

What is the data quality of Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets?

Grepsr has reported that this product has the following quality and accuracy assurances: 99% data accuracy. You can compare and assess the data quality of Grepsr using Datarade’s data marketplace. Grepsr has received 2 reviews from clients. Grepsr appears on selected Datarade top lists ranking the best data providers, including Best 5 Amazon Data Scrapers for Product Research & Analysis and Who’s New on Datarade? September Edition.

What are similar products to Grepsr Yelp Resturants Address and Reviews Data Global Coverage with Custom and On-demand Datasets?

This Tabular Data has 3 related products. These alternatives include Grepsr E-commerce Data Product and Review Datasets from Ecommerce websites Global Coverage with Custom and On-demand Datasets, The Data Appeal Sentiment Data API, Dataset 200 Million+ POI Data Mapped Monitor Customer Sentiment and Satisfaction by Points of Interest, and Coresignal Consumer Review Data Tech Product Review Data Trustpilot + 3 Other Sources Global / 165M+ Records / Updated Monthly. You can compare the best Consumer Review Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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Grepsr| Yelp Resturants Address and Reviews Data | Global Coverage with Custom and On-demand Datasets

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Grepsr| Yelp Resturants Address and Reviews Data | Global Coverage with Custom and On-demand Datasets

Data Dictionary

Description

Geography

Pricing

Suitable Company Sizes

Quality

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Grepsr Unleash the power of Data

Trusted by

Grepsr
Unleash the power of Data