- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is App Store Data?
App Store data is information and statistics related to mobile applications available on platforms such as Apple’s App Store. It includes details about app downloads, ratings, reviews, revenue generated, user demographics, and other relevant metrics. This data is valuable for developers, marketers, and researchers to understand app performance, user behavior, and market trends, enabling them to make informed decisions and optimize their app strategies.
Examples of App Store Data include information about app rankings, user reviews, app descriptions, download statistics, and developer information. App Store Data is used for market research, app performance analysis, competitor analysis, and understanding user preferences and trends. In this page, you’ll find the best data sources for App Store Data, such as app store datasets, app store databases, and app store DBs.
Best App Store Databases & Datasets
Here is our curated selection of top App Store Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Google PlayStore & Apple App Store & Data: Price, App Category, App Description, Reviews, Ratings | Global Coverage
Mobile App Data, TV App Data, App Data, Google & Apple App store Data - Scrape all Publicly Available Mobile & TV related Data with 100% Accuracy
Google Play Store Apps / Games Data, Android Apps Data, Consumer Review Data, Top Charts | Real-Time API
Store location data | 164M Commercial Places - Stores | Global Retail Store Location Data
CPG Data | Retail Store Location Data | 52M+ POI | SafeGraph Places
Factori Visit Data | Global | Location Intelligence | Geospatial Data |POI , Foot Traffic, Store Visit
Store Location Data | 230M+ Global POIs & Retail Locations | 5000+ Categories with Restaurant, Retail & Business Coverage
Point-of-Interest (POI) Data | Shopping & Retail Store Locations in US and Canada | Retail Store Data | Comprehensive Data Coverage
Ecommerce Data | Store Location Data | Global Coverage | 61M+ Contacts | (Verified E-mail, Direct Dails)| Decision Makers Contacts| 20+ Attributes
eCommerce Company Data | 320K Stores | API & Bi-Weekly Updates | Technographic Insights
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Top App Store Data Providers & Companies
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Grepsr
CoverageUSAUK+247VUtilizing Grepsr's data solutions, we employed their capabilities to efficiently retrieve a substantial volume of job posting information. The acquired dataset played a pivotal role in supporting our strategic marketing initiatives, demonstrating the versatility and effectiveness of Grepsr's data services in enhancing our business intelligence and outreach endeavors.
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OpenWeb Ninja
CoverageUSAUK+248VOpenWeb Ninja has been an essential source for our data needs. They have a terrific selection of APIs, are very communicative and responsive, and have solutions for needs of all kinds. Highly recommend them for anyone looking for reliable and comprehensive data APIs!
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Datandard
CoverageUSAUK+247Data should be easy to purchase and use. With Datandard you can get access to high quality datasets that are delivered in bulk in formats that are easy to ingest.AffordablePriced at 25% vs competitorsTimelyReal-time feeds availableGlobalData sourced globally -
APISCRAPY
CoverageUSAUK+248VAPISCRAPY has been a game-changer for our real estate data scraping automation. The AI-driven platform effortlessly converts web data into a polished, ready-to-use API, providing us with accurate and comprehensive information in the required format/s. What truly sets APISCRAPY apart is their ability to stick to the deadlines and the support during the entire tenure of the project. From the initial discussion till the seamless integration, their expertise and responsiveness is highly appreciated. The user-friendly interface streamlined the entire process, enhancing our operational efficiency. APISCRAPY is undeniably a valuable partner for any business seeking a reliable and efficient web scraping solution.
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Factori
CoverageUSAUK+247BMobility data was used to track where people flock during quarantine, and to understand how people moved out of the urban centers and to the provinces. Might also be used for retail clients to understand what adjustments are needed to adapt better to the situation.
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Success.ai
CoverageUSAUK+248VI’m really happy with the contact data I got from success.ai. After talking to a bunch of other providers, they were either way too expensive or didn’t offer the best implementation options. But success.ai was a great fit for me!
Popular Use Cases for App Store Data
App Store Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for App Store Data.
Main Attributes of App Store Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 35 datasets | |
| Float | The longitude of a point on earth's surface. Commonly abbreviated as "long". | View 29 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 25 datasets | |
| String | The name of a country. | View 24 datasets | |
| String | The name of a city. | View 21 datasets | |
| String | The name of a state. | View 20 datasets |
Frequently Asked Questions
How is the Quality of App Store Data Maintained?
The quality of App Store Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is App Store Data Updated?
The update frequency for App Store Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is App Store Data Secure?
The security of App Store Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is App Store Data Delivered?
App Store Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for App Store Data.
How Much Does App Store Data Cost?
The cost of App Store Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of App Store Data for your needs.
What Are Similar Data Types to App Store Data?
App Store Data is similar to other data types, such as App Usage Data, Mobile Attribution Data, App Install Data, App Market Data, and App Revenue Data. These related categories are often used together for applications like Market Intelligence.
