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Best App Store Datasets for Analyzing App Trends

App store datasets refer to structured data that provides comprehensive information about mobile applications available on various app stores such as Apple App Store and Google Play Store. These datasets typically include details such as app names, descriptions, categories, ratings, reviews, download counts, pricing, developer information, and other relevant metadata. App store datasets are valuable for market research, competitive analysis, app performance tracking, and understanding user preferences and trends in the mobile app industry. With this data, businesses can make informed decisions regarding app development, marketing strategies, and investment opportunities in the app market.

90 results
Logo of Grepsr

Google PlayStore & Apple App Store & Data: Price, App Category, App Description, Reviews, Ratings | Global Coverage

by Grepsr
5.0
Available in
USA
UK
Germany
France
Italy
and 244 more countries
Logo of APISCRAPY

Mobile App Data, TV App Data, App Data, Google & Apple App store Data - Scrape all Publicly Available Mobile & TV related Data with 100% Accuracy

by APISCRAPY
4.9
Available in
USA
UK
Germany
France
Italy
and 56 more countries
Logo of OpenWeb Ninja

Google Play Store Apps / Games Data, Android Apps Data, Consumer Review Data, Top Charts | Real-Time API

by OpenWeb Ninja
5.0
UID
Website
Email Address
Product Category
Currency Code
and 5 more attributes
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of InfobelPRO

Store location data | 164M Commercial Places - Stores | Global Retail Store Location Data

by InfobelPRO
5.0
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of Success.ai

Ecommerce Store Data | APAC E-commerce Sector | Verified Business Profiles with Key Insights | Best Price Guarantee

by Success.ai
5.0
Country Name
Location Name
Company Name
Contact Last Name
Contact First Name
and 12 more attributes
Available in
USA
UK
Germany
France
Italy
and 136 more countries
Logo of Grepsr

Grepsr | Comprehensive Dataset of Fast-food Chains' Store (Starbucks, Mcdonalds, Subway, & more) Location

by Grepsr
5.0
Latitude
Available in
USA
UK
Germany
France
Italy
and 244 more countries
Logo of Xverum

Store Location Data | 230M+ Global POIs & Retail Locations | 5000+ Categories with Restaurant, Retail & Business Coverage

by Xverum
5.0
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of Forager.ai

eCommerce Company Data | 320K Stores | API & Bi-Weekly Updates | Technographic Insights

by Forager.ai
4.9
City Name
Country Name
State Name
Company Name
Company Industry
and 3 more attributes
Available in
USA
UK
Germany
France
Italy
and 245 more countries
Logo of Factori

Factori USA Consumer Graph Data | socio-demographic, location, interest and intent data | E-Commere |Mobile Apps | Online Services

by Factori
4.9
Latitude
Contact Last Name
Contact First Name
MAID
Contact Gender
and 4 more attributes
Available in
USA
Logo of Xtract

Point-of-Interest (POI) Data | Shopping & Retail Store Locations in US and Canada | Retail Store Data | Comprehensive Data Coverage

by Xtract
5.0
Latitude
Longitude
Address
City Name
Country Name
and 13 more attributes
Available in
USA
Canada

What is an app store dataset?

App store datasets refer to structured data that provides comprehensive information about mobile applications available on various app stores such as Apple App Store and Google Play Store.

What information is included in app store datasets?

App store datasets typically include details such as app names, descriptions, categories, ratings, reviews, download counts, pricing, developer information, and other relevant metadata.

How can app store datasets be used?

App store datasets are valuable for market research, competitive analysis, app performance tracking, and understanding user preferences and trends in the mobile app industry. With this data, businesses can make informed decisions regarding app development, marketing strategies, and investment opportunities in the app market.

Why are app store datasets important for businesses?

App store datasets provide businesses with valuable insights into the app market, allowing them to understand user preferences, track app performance, and identify market trends. This information helps businesses make informed decisions regarding app development, marketing strategies, and investment opportunities.

Where can app store datasets be obtained?

App store datasets can be obtained from various sources, including third-party data providers, app store APIs, and data scraping techniques. Some datasets may be available for purchase, while others may be freely accessible.

How can app store datasets be analyzed?

App store datasets can be analyzed using various data analysis techniques, such as data visualization, statistical analysis, and machine learning algorithms. These analyses can provide insights into app performance, user behavior, market trends, and competitive landscape.