This is the core of what we do. We've spent over a decade successfully getting data from the toughest sources, including banking and finance sites. We’re successful because we don’t rely on off-the-shelf tools; we built our own infrastructure from the ground up specifically to defeat these systems at scale.

There's no single magic bullet. Instead, our success comes from several systems working together:
- Intelligent Proxy & IP Management: We run our own global network of residential, ISP, and mobile proxies. Our platform automatically rotates IPs, mimics human Browse patterns, and uses geo-targeting to get around IP-based blocking and rate limits, even on the most difficult websites.
- Advanced Anti-Bot & CAPTCHA Solvers: We use a fleet of smart, headless browsers that render JavaScript-heavy sites exactly as a normal browser would. These are equipped with our own AI models trained to automatically identify and solve all types of CAPTCHA challenges, ensuring the data collection is never interrupted.
- Resilience to Structural Changes: Our platform constantly monitors source websites for layout or structural changes. Our parsers are designed to be resilient, but if a site change does impact data collection, our system creates an automatic alert. Our engineering team is then responsible for adapting the logic, with resolution times guaranteed by our SLA.

Our central platform coordinates all of these systems. This integrated approach is how we reliably pull data from sources that block others, freeing up your team to focus on insights, not the complexities of data acquisition.

Our entire system is built fully in-house with our own proprietary scraping infrastructure on top of global cloud platforms. It was designed from day one to handle huge, unpredictable workloads.

We run a decoupled microservices architecture on Kubernetes. This approach eliminates single points of failure and guarantees high availability. Because each service is containerized and independent, we can perform rolling updates for any component with zero system-wide downtime.

Our standard promise is 99.9% uptime of Doubledata systems that orchiestrate scrapers execution. For us, that's the foundation of a good partnership.

Yes, absolutely. We have a lot of experience getting data from native iOS and Android apps. It’s much more difficult than standard web scraping, and we are very good at it.

Mobile apps are designed with extra security to prevent exactly this. Our team uses advanced techniques to understand how the app communicates with its servers. We then build systems that can talk to the app’s API in a way that is identical to a real phone. This allows us to get around roadblocks like certificate pinning and pull the clean data directly from the source.

Getting data into your system should be the easy part. We offer a few simple ways to do it.

You can pull data from our API whenever you need it, or you can have us ping your system with a webhook the moment a new dataset is ready. We can even drop the files directly into your cloud storage bucket (like Amazon S3 or Google Cloud).

The data comes in standard formats like JSON or CSV. If you’re working with massive datasets, we can also provide it in high-performance formats like Parquet. And yes, we have ready-to-go connectors for the tools you already use, including Snowflake, BigQuery, Tableau, and Power BI. The goal is to get you working with the data immediately, with almost no setup required.

We're obsessed with data quality because we know that bad data is useless. Our entire QA process is built on two principles: powerful automated checks followed by expert human verification.

1. Automated QA checks
First, every dataset passes through a series of automated checks. Their job is to validate the data's structural integrity and logical consistency by looking for common issues:
- Checking for correct formatting against the established template.
- Verifying data completeness, for example, by comparing row counts to previous runs.
- Flagging logical anomalies, like a price or fee that falls completely outside of a predefined reasonable range.

2. Manual "ground-truth" verification
Automation is crucial, but it's the manual verification by our QA analysts that ensures true accuracy. This is more than a simple validation; it’s a rigorous spot-check of the data.

Our analysts take a data sample and compare it field-by-field against the live source application. This manual "ground-truth" check guarantees the data we deliver is an exact match for what a real user sees, catching the subtle errors that automated systems can miss. If a discrepancy is found, no matter how small, it is formally documented, assigned a trackable issue link, and escalated to our engineering team for resolution. This is how we guarantee the highest possible level of accuracy.

We treat legal and security issues as seriously as you do.

On the legal side, our work is fully compliant with regulations like GDPR. We have a strict policy: we only collect public information and we never touch private customer data (PII). Our legal team and outside counsel keep a close watch on the legal landscape to ensure our methods are sound and that you are protected.

For security, all your data is encrypted, both when it's being sent to you and when it's stored on our systems. Think bank-level security. We are also in the process of a formal ISO 27001 and SOC 2 audit, which means our internal processes are built to meet the highest industry standards for managing data safely.

You’re right to focus on product matching. It’s a hard problem, and honestly, it’s where we do our best work.

Matching products with clean identifiers like a SKU or EAN is simple. We get that right every time. Our real expertise is in matching the messy stuff, the products without clean codes. We’ve built our own systems to solve this, and we train a machine learning model specifically for your catalog.

This model learns to look at everything: the brand, product name, technical specs, and even visual similarities between images to find the correct match. This is the same intelligence we use for deduplication, so you get one clean, single view of each product.

And we don’t just talk about it. We guarantee it in our contract, with an SLA that promises over 99.5% accuracy on key data like price and availability.