How Mobile App Data
Scraping Can Drive
Business Growth and
Unlock Valuable
Insights

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Oleg Boyko

Introduction: The Importance of Mobile App Data Scraping

In today’s digital economy, data has become a critical asset for informed business decisions. However, much of this valuable information is available exclusively within mobile apps—such as data related to e-scooter rentals, taxi services, or food delivery. Mobile apps have become an essential part of everyday life, and access to their data empowers businesses to gain deeper market insights and better understand user behavior.

According to Statista, the global mobile app market is projected to grow to $756 billion by 2027, with a stable annual growth rate (CAGR) of 8.58% starting from 2022.

Since some services operate exclusively through mobile apps without providing accessible APIs or web alternatives, custom scraping becomes essential for obtaining critical data. While API integrations (e.g., from social networks, payment gateways, or marketplaces) are often the go-to solution for automated data collection, scraping fills the gap when APIs are unavailable. This approach ensures companies can still access valuable insights, helping them respond to market changes, optimize resources, and maintain a competitive advantage.

Benefits of Mobile App Data Scraping for Businesses

Mobile app scraping provides access to numerous actionable insights that help companies refine their strategies. Below are the key benefits:

1. User Behavior Analysis to Enhance Business Strategies

  • Product and Service Popularity: Data from mobile apps helps identify which products are in demand, allowing businesses to adjust their offerings and marketing strategies accordingly.
  • Personalized Marketing Campaigns: Analyzing user behavior enables businesses to create tailored promotions, increasing the effectiveness of advertising efforts.

2. Location Optimization and Expansion Planning

  • Geolocation Data Analysis: Identifies areas with high demand, helping businesses open new stores or service points in the most promising locations.
  • User Activity Monitoring: Aligns customer demand with the location of existing points of sale, facilitating operational adjustments and resource optimization.
  • Foot Traffic Assessment: User movement data helps evaluate the performance of existing locations and informs plans for improvement.

3. Competitor Analysis and Market Opportunities

  • Uncovering Market Gaps: Data reveals underserved niches or unfulfilled customer needs, creating opportunities to launch new services or expand into new areas.
  • User Behavior Forecasting: AI-based models predict customer demand and recommend products, enhancing cross-selling opportunities.



Armed with these insights, businesses can adapt to changing conditions and develop new strategies. Let’s explore real-life examples of how GroupBWT has helped clients leverage mobile app scraping across various industries.

Real Use Cases: How GroupBWT Assisted Businesses with Mobile App Scraping

E-Scooter Rental App Data Scraping

GroupBWT conducted a large-scale data scraping project for e-scooter rental services, collecting information on the location and availability of over 50,000 vehicles across various European cities. The analysis identified more than 15 high-demand zones, enabling optimal scooter placement and the discovery of underutilized areas with low competition, which resulted in a 20% increase in rentals.

The company also analyzed demand during large events and peak hours, allowing scooters to be strategically positioned in key locations ahead of time. This improved vehicle availability and boosted user satisfaction.

As a result, the client experienced an 18% revenue increase within the first three months of implementing the new strategies.

Food Delivery App Data Scraping

GroupBWT conducted extensive monitoring of the Uber Eats platform across 1,200 locations in the UK and France. This involved collecting data on over 15,000 restaurants, including delivery fees, average delivery times, and more than 500 active promotions. The client used this data for in-depth analysis, which enabled them to:

  • Update restaurant menus and compare pricing strategies across key markets.
  • Optimize delivery conditions to remain competitive and respond to changes within 48 hours.



As a result, the company increased customer satisfaction by 15% and maintained a strong position in a dynamic market where speed and precision are critical to success.

Taxi Service Data Scraping

GroupBWT gathered and analyzed large datasets from Uber across multiple cities in Europe. The analysis revealed that 30% of neighborhoods experienced car shortages during peak hours, helping the client prioritize zones for fleet expansion and service upgrades.

Leveraging these insights allowed the client to increase revenue from specialized routes and improve car availability by 18% in critical areas.

Challenges of Mobile App Data Scraping

Despite the benefits, mobile app scraping poses several technical challenges, including:

  • Encryption and SSL Pinning: Protects app traffic and makes data interception more difficult.
  • Geolocation Restrictions: Limits access to certain apps based on region or IP address.
  • Authentication Requirements: Some data is available only after logging into the app.
  • Rate Limits: Apps may restrict the number of requests from a single user or IP address.



While official APIs offer a structured and secure way to access data, they are often limited or unavailable. In such cases, scraping techniques—such as emulation, traffic interception, and reverse engineering—can be applied. GroupBWT’s expertise ensures effective solutions to overcome these barriers.

Overcoming Mobile App Protection Mechanisms

Mobile apps use client-server architectures, transmitting data over HTTPS, which makes it harder to analyze requests directly from devices. Below are some common protection methods and how GroupBWT tackles them:

1. Simple Cases: No Additional Protection

If traffic is accessible through Man-in-the-Middle (MITM) proxies, it indicates the absence of specialized security.

  • Requests can be analyzed and replayed in external tools (e.g., Postman) to automate scraping.
  • Automated request repetition simplifies the data extraction process.

2. SSL Pinning as a Security Barrier

SSL pinning ensures that the app verifies the server’s certificate against one embedded within the app. If the app doesn’t trust the MITM proxy’s certificate, traffic will be blocked.

  • Bypassing SSL Pinning: This can be done by modifying the app’s code or using tools like Frida or Xposed Framework.
  • Certificate Integration: Adding the proxy’s certificate to the trusted list allows traffic interception without disruption.

3. Token and Parameter Generation

Requests may contain encrypted tokens or parameters generated by the app’s logic. For example:

  • Tokens might depend on session time, device ID, or geolocation.
  • Certain variables may be hashed or encrypted, making them challenging to replicate.



To address this:

  • GroupBWT uses reverse engineering and code deobfuscation to uncover token generation rules.
  • Tools like JADX help analyze app logic and recreate tokens outside the app.

4. Authentication and Request Limits

Many apps require user authentication and enforce rate limits per user or IP.

  • IP Rotation or using multiple accounts helps avoid blocking.
  • Effective blocking mechanisms may involve session tracking and cookie management, complicating automation. To minimize blocking, scraping tools must mimic real user behavior and avoid excessive requests.



GroupBWT’s expertise ensures smooth data extraction by emulating legitimate app interactions while adhering to best practices.

Conclusion

Mobile app scraping unlocks new opportunities by providing real-time insights that were previously inaccessible. It helps companies better understand user behavior, identify market gaps, and optimize operations in dynamic markets. However, success depends not only on access to data but also on overcoming the technical barriers and security mechanisms implemented by apps.

Since 2009, GroupBWT has specialized in developing custom data scraping solutions, creating platforms that adapt to each client’s needs. Our custom frameworks are capable of working with mobile apps—whether they involve SSL pinning, complex authentication, or rate limits. With our expertise, you’ll gain access to the critical data needed to make strategic decisions.

GroupBWT offers a full-service approach—from needs analysis and architecture design to solution implementation and ongoing support. Our tools help automate data collection, scale operations, and stay ahead of the competition.
Gain deeper insights, stay one step ahead of competitors, and automate your data collection with GroupBWT. Contact us today, and we’ll develop a custom solution tailored to your business.

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