Mobile scraping services
Get the mission-critical data inside leading mobile apps with DoubleData's specialized, fully managed mobile app scraping services.

We scrape data from over 5,000 sources
DoubleData is not affiliated with or endorsed by the companies shown.
Challenges (we solve) that lead teams to dedicated mobile app scraping providers
Scraping mobile apps is much harder than websites. You have to defeat private APIs and advanced security that requires a rare skill set most engineering teams don't have. Trying it yourself is a direct path to wasted resources and delayed projects. When internal data isn't enough, here are the key struggles we solve:
Problem
Frequent API changes and ongoing reverse engineering needs
Your data engineers are pros at what they do. They wrangle your data warehouse, build solid ETLs, and work magic with Python and SQL. They aren't mobile reverse engineers. The first attempt to scrape an app in-house goes great, until it doesn't. A silent app update, a new auth token, or sudden certificate pinning, and your pipeline is dead. It always breaks overnight. Now you're the one telling stakeholders their critical data feed just... stopped. It's a draining, constant battle you can't win.
Solution
We keep the data flowing
Our dedicated team of mobile security and reverse engineering specialists constantly monitors target app updates. We guarantee data delivery continuity within a strict SLA, taking on the entire burden of adapting to changes in private APIs, authentication methods, and response structures.
- Continuous monitoring: We track every app update to prevent your data pipeline from breaking.
- Authentication & security: We handle all complexities like certificate pinning and token rotation.
- Guaranteed SLA: Rely on a 99.9% uptime SLA for consistent, reliable data delivery.
Explore our capabilities across industries and teams
Filter success stories by vertical, use case, or department to find the scenarios that match your needs. Learn how enterprises leverage our custom scraping, matching, and infrastructure to solve their toughest data problems.
Airline route & network analysis
Flight paths, frequencies, and capacity data for airline route and network analysis, from our managed scraping and matching service. Book a demo.
Pack size matrix & unit pricing
Compare FMCG pack sizes like for like, with per-unit prices for product variations and bundles across retailers. Book a demo today.
Delivery fee tracking
Delivery fee, service charge, and small order fee data across food delivery platforms, to optimize pricing and protect margins. Book a demo.
Exclusive vs. shared content
Exclusive vs. Shared Content data for audiobooks: see which titles sit on one platform or many, from our managed data service. Book a demo today.
Event gap analysis (missing content)
Find the events and artists your competitors list but your ticketing platform does not. Book a demo.
ETA benchmarking
Benchmark your food delivery operations against the delivery time estimates competitors show across platforms. Request a demo.
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Key sources for acquiring mobile data
The right way to get mobile app data depends on your team's resources, budget and data quality requirements. Building in-house, using tools and partnering with a dedicated service each come with real-world trade-offs.
| Dedicated Scraping Services | In-House Scraping Team |
|---|---|
| Total Cost of Ownership (TCO) | |
| High | Very High |
| Internal Team Workload | |
| Low | Very High |
| Reliability & Guarantees (SLA) | |
| Very High | Medium |
| Scalability & Performance | |
| Very High | High |
| Time-to-Value | |
| Medium | Very Low |
| Ideal For | |
Enterprises focused on high-volume data outcomes. | Enterprises requiring total process ownership. |
| Data Quality & Accuracy | |
| Very High | High |
| Support & Partnership | |
| Very High | N/A |
| Legal & compliance | |
Compliant public data, DPA on request | Legal review falls on your team |
| Features | Dedicated Scraping Services | In-House Scraping Team | API-based Scraping | No-Code / Low-Code Tools | Off-the-Shelf Datasets |
|---|---|---|---|---|---|
| Total Cost of Ownership (TCO) | High | Very High | Medium | Low | Very Low |
| Internal Team Workload | Low | Very High | High | Medium | Very Low |
| Reliability & Guarantees (SLA) | Very High | Medium | High | Very Low | N/A |
| Scalability & Performance | Very High | High | High | Low | N/A |
| Time-to-Value | Medium | Very Low | High | Very High | Very High |
| Ideal For | Enterprises focused on high-volume data outcomes. | Enterprises requiring total process ownership. | Developers & tech companies. | Non-developers, marketers, & startups. | Users needing instant, standard datasets. |
| Data Quality & Accuracy | Very High | High | Medium | Low | Medium |
| Support & Partnership | Very High | N/A | Low | Very Low | Very Low |
| Legal & compliance | Compliant public data, DPA on request | Legal review falls on your team | Legal review falls on your team | Legal review falls on your team | Risks imposed on 3rd party |
The advantage of mobile app scraping services
Get data that's ready to use
Outsource the technical complexity
Guaranteed delivery & security
Get your free data audit now
Identify gaps and optimize your web & mobile data pipeline. It's completely free and without obligation.
From strategy to delivery: precision at every step
Every project follows one transparent process, executed with precision from initial analysis and data validation to secure delivery and proactive maintenance.
Strategy & data scoping
We start by defining your business goals and precise data requirements, mapping the target mobile apps and user journeys to identify key data points.
Infrastructure & proxy setup
We deploy a dedicated infrastructure of mobile emulators and configure specialized mobile proxies to ensure reliable, undetectable access for data collection.
Reverse engineering & data extraction
Our engineers reverse-engineer the app's private APIs to build custom collectors for scalable and efficient data extraction at its source.
Data parsing & structuring
Raw API responses (e.g., JSON) are automatically parsed and transformed. This data structuring process creates a clean, unified schema ready for analysis.
ML-powered data matching
Our ML algorithms perform precise data matching, linking product or user IDs from the app with your internal systems for a unified view.
Optional: Manual data enrichment
For maximum precision, our analysts can perform manual data enrichment by categorizing promotions from screenshots or analyzing user sentiment.
Rigorous data validation & QA
Every dataset undergoes a strict data validation and quality assurance (QA) process, combining automated checks with expert verification to guarantee accuracy.
Secure data delivery & integration
We ensure secure and timely data delivery in your required format (API, Parquet, JSON) and handle the data integration with your tech stack (e.g., Snowflake, BigQuery).
Optional: Data visualization & insights
We can transform the data into actionable insights with custom data visualization in dashboards and reports to accelerate your decision-making.
Proactive pipeline monitoring
We provide constant data pipeline monitoring for app updates and security changes, proactively maintaining collectors to ensure a reliable flow of information, backed by a 99.9% uptime SLA.
99.93%
Data accuracy
We rigorously cross-check every dataset across multiple sources to ensure entity-level precision, so you get clean, usable data.
15B+
Data points extracted
Our infrastructure handles massive data volume, from granular app content to multi-layered e-commerce listings, at true enterprise-grade scale.
99.89%
System uptime
Your data should keep up when your market moves. Our pipelines are designed for high availability and constant monitoring: a reliable data flow, backed by a 99.9% uptime SLA.
4.2TB+
Processed monthly
We process and normalize terabytes of structured data every month, optimizing for schema consistency, transformation accuracy, and downstream usability.
Frequently asked questions
Your questions about mobile app scraping, answered: from technical implementation and legal compliance to the business outcomes we deliver for sales, marketing and pricing teams.
We built our delivery system around flexibility. Our goal is to get analysis-ready data directly into your environment with minimal effort from your team. We offer three primary integration methods:
Direct-to-warehouse: We use pre-configured connectors for major cloud warehouses (Snowflake, BigQuery, Redshift, etc.). After a one-time setup, data is automatically loaded into your specified tables on a set schedule, matching your schema.
Dedicated REST API (pull): We provide a fully documented, secure REST API, allowing your systems to pull data on demand. We provide a stable endpoint with API versioning, which protects your workflows from changes on our end.
Webhooks (push): We can configure webhooks to proactively send new or updated data (as a JSON payload) to your specified URL when it's available.
Through automated monitoring, a dedicated maintenance team and a contractual SLA, on a platform designed for the unstable environment of mobile apps. Our systems monitor scraper health and data integrity, and any anomaly, like empty fields, a change in data format or a sudden drop in volume, triggers an alert. Every client and target app has a dedicated engineering team that responds to those alerts. Support is available on business days, during Polish business hours (CET/CEST). If an app update breaks a scraper, you agree with us how fast remediation starts. Our SLA guarantees 99.9% data availability and defines the maximum time to resolution based on data criticality, and you agree the remedies with us.
Our methodology is designed to keep those risks low. We scrape only data that any user of the app can see, and we never circumvent paywalls or access personally identifiable information (PII) that is not public. Before a project starts, we assess the risk and tailor the collection strategy to it. Collection runs on our own distributed network of residential and mobile proxies with advanced device emulation, so traffic looks like real users, detection risk stays low and our clients stay anonymous. Because we own and manage this infrastructure, we keep full control over its security.
Yes. Our cloud-native infrastructure was designed from the ground up to handle massive fluctuations in workload.
Horizontal scalability: Our proxy network and scraper instances can be scaled up or down automatically based on demand. Adding 10 more apps or increasing collection frequency is a standard operational task for us.
Transparent pricing model: Our pricing reflects your scale of operations. You'll know the cost of adding a new app or increasing frequency upfront. We offer volume discounts, so your unit cost decreases as your needs grow.
Guaranteed performance: Each scraper runs in an isolated environment. This means increased load on one project does not affect the performance of another, whatever your scale.
Our pricing model is straightforward: a monthly fee for maintenance and monitoring per app, plus a fee for data volume. This structure delivers predictable costs and is typically 40-60% lower than the TCO of an in-house solution, all while freeing your best engineers to focus on strategic initiatives.
Turn the mobile app "black box" into competitive intelligence
- Streamlined operations
- Optimized resource allocation
- Sharper insights & quicker actions
- Maximized value from your analytical initiatives
- A fuller view of your market, including the crucial 'app-only' dimension
- Compliant and ethical data acquisition, navigating app store policies and GDPR