Enterprise-grade data infrastructure

Stop treating data acquisition as an IT problem. It’s the foundation of your competitive advantage. While in-house scraping projects drain your budget and burn out your best engineers on maintenance, DoubleData delivers a fully managed, robust, and compliant data infrastructure. We turn the chaotic, public web into your proprietary, strategic asset, so you can focus on one thing: driving business results.
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We scrape data from over 5 000 sources

CHALLENGES

Your team Is built for insight, Not for fighting anti-bot systems

Does this sound familiar? Your enterprise is facing a silent growth ceiling caused by inadequate data acquisition.

Your Best Talent Is a Help Desk

Your most expensive data scientists and BI developers are bogged down by ad-hoc scraping requests, debugging brittle scripts instead of building strategic models.

The Anti-Bot War Is Unwinnable (Alone)

Your engineers are trapped in a costly and frustrating arms race, spending more time reverse-engineering CAPTCHAs and fingerprinting than analyzing data.

You Can't Trust Your Own Analytics

"Dirty data" from unreliable sources corrupts your analytics, breaks your models, and erodes the business's trust in your entire data platform.

Scaling Is a Black Hole for Your Budget

You know that scaling your DIY scraping setup will lead to a nightmare of spiraling cloud and proxy costs, with no predictable ROI.
INFRASTRUCTURE

The anatomy of a world-class data infrastructure

An enterprise-ready infrastructure isn't a single tool; it's a complex, multi-layered ecosystem engineered for Scale, Quality, and Compliance. We manage every component, so you don't have to.
  • 01

    Your infrastructure must perform reliably under immense and unpredictable load without generating surprise cloud bills. Our architecture is designed from day one for massive scale, ensuring predictable costs and performance.
    - Architecture based on microservices and Kubernetes.
    - Guarantee of 99.9% uptime SLA for key systems.
    - Predictable cost model eliminating unexpected cloud and proxy bills.

  • 02

    Your market data is fragmented across thousands of sources with no common identifiers. We solve this fundamental challenge by transforming disparate data points into a single, unified, and trustworthy view of your market.

    - Proprietary, client-trained Machine Learning models for product matching.
    - Matching accuracy rate of over 99.3% guaranteed in the SLA.
    - Advanced deduplication to create a single, consistent view of data (single source of truth).

  • 03

    Any large-scale data acquisition operation will be shut down without a sophisticated network infrastructure. We manage a global network to ensure our requests are seen as legitimate user traffic, defeating blocks before they happen.

    - Access to a global IP pool: residential, ISP, and 4G/5G mobile.
    - Automated systems for intelligent IP rotation and user session management.
    - Bypassing detection mechanisms based on IP reputation and geolocation.

  • 04

    The web scraping landscape is littered with tools that promise the world but fail at an enterprise scale. Building or buying a tech stack is a constant, resource-draining effort. We solve this by acting as your dedicated R&D team, continuously optimizing our toolset for maximum efficiency.

    - Continuous evaluation, development, and optimization of proprietary and external scraping tools.
    - Replacing generic tools that fail to scale at the enterprise level with an integrated system.
    - Providing a fully managed service that functions as a "full-stack web scraping API" without client-side maintenance costs.

  • 05

    One-size-fits-all scrapers are brittle and ineffective against modern websites and mobile apps. We engineer custom data collectors for each target, equipped with advanced systems to win the "arms race" against anti-bot technologies.

    - Building dedicated ("bespoke") scrapers for each target, including complex web and mobile applications.
    - Systems for automatic CAPTCHA solving and bypassing advanced security like browser and JS fingerprinting.
    - Proven ability to overcome mobile security challenges, including SSL pinning and API traffic encryption.

  • 06

    In the enterprise world, data quality is paramount - far more important than raw volume. Our entire process is built around a relentless obsession with quality, transforming raw data into an asset you can trust.

    - A multi-level QA process combining automated data integrity tests with manual verification by analysts.
    - Data quality guarantees (e.g., 99.9% field accuracy) included in the Service Level Agreement (SLA).
    - Delivering clean, analytics-ready data in formats optimized for BI and ML (e.g., Parquet, Avro).

  • 07

    A world-class infrastructure requires a powerful 'brain' to coordinate all its components. Our central orchestration platform manages the entire process and delivers clean data directly into your ecosystem with zero friction.

    - A central platform for orchestration and management of the entire process: from scheduling to monitoring and alerting.
    - Ready-made connectors for data warehouses (Snowflake, BigQuery) and BI tools (Tableau, Power BI).
    - Flexible delivery methods: managed REST API, webhooks, or direct write to the client's cloud (S3, GCS).

  • 08

    For an enterprise, legal and reputational risk are non-negotiable. We build our entire operation on a foundation of ethical data acquisition and take on the full burden of compliance, shielding your business from risk.

    - Full assumption of responsibility for the legal and ethical compliance of the data acquisition process.
    - A 100% GDPR-compliant process, based solely on publicly available data.
    - Possession of information security certifications, such as ISO 27001.

FAQ

Frequently Asked Questions

We understand that choosing a data partner is a critical decision, involving stakeholders from technology, business, and legal teams. To help you find the information you need quickly, we've organized our most frequently asked questions into key categories, providing comprehensive, in-depth answers.

  • This is the core of what we do and our primary area of expertise. We operate in a constant "arms race" against increasingly sophisticated anti-bot technologies and have built our entire infrastructure to win it. Instead of relying on a single solution, we use a multi-layered strategy that allows us to reliably access data from the most difficult sources, including global e-commerce platforms and financial institutions.

    Our approach combines several integrated systems working in concert:

    - Intelligent Proxy & IP Management: We operate our own global network of residential, ISP, and mobile proxies. Our platform automatically rotates IPs, mimics human Browse patterns, and uses geo-targeting to defeat IP-based blocking and rate limits.
    - 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 proprietary AI models trained to automatically identify and solve all types of CAPTCHA challenges, ensuring data collection is never interrupted. We are experts at defeating advanced measures like JS fingerprinting , HTTP/TLS fingerprinting , and even mouse movement intelligence.
    - Real-Time Adaptation: Our platform constantly monitors source websites for structural changes or new defenses. If a change impacts data collection, our system creates an automatic alert, and our engineering team is responsible for adapting the logic, with resolution times guaranteed by our SLA.

  • Our entire platform was designed from day one to handle huge, unpredictable workloads with enterprise-grade reliability. We don't just run scrapers; we run a highly available, resilient data acquisition engine.

    - Scalable by Design: We run a decoupled microservices architecture on Kubernetes. This approach eliminates single points of failure and allows us to perform rolling updates for any component with zero system-wide downtime. It's how we achieve proven scalability for billions of requests.
    - Contractual Guarantees: We provide a standard 99.9% uptime SLA for our core systems that orchestrate scraper execution. For us, reliability isn't a promise; it's a contractual commitment.

  • Yes, absolutely. We recognize that scraping native mobile apps is a "completely different universe of complexity". It is a rare skill set that most engineering teams do not possess, but one in which we specialize.

    - Unlocking the Mobile Black Box: Mobile apps use advanced security like private APIs, encrypted traffic, and SSL/certificate pinning to prevent data extraction. Our team uses advanced reverse-engineering techniques to understand how the app communicates with its servers.
    - Dedicated Mobile Infrastructure: We build systems that can talk to the app’s API in a way that is identical to a real phone, allowing us to get around roadblocks like certificate pinning and pull clean, structured data directly from the source.

  • Getting data into your system should be the easy part. Our goal is to deliver analysis-ready data directly into your environment with minimal effort from your team. We offer several flexible integration methods:

    - Direct-to-Warehouse: We use pre-configured, native connectors for major cloud warehouses like Snowflake, BigQuery, and Redshift. Data is automatically loaded into your specified tables on a set schedule.
    - Managed REST API & Webhooks: You can pull data from our secure REST API on demand, or we can use webhooks to push new or updated data to your specified URL the moment it’s ready.
    - Cloud Storage & High-Performance Formats: We can drop files directly into your cloud storage bucket (e.g., Amazon S3, Google Cloud Storage). For massive datasets, we provide data in high-performance formats like Parquet or Avro, ready for BI & ML applications.

  • We are obsessed with data quality because we know that bad data is not just useless- it's a liability that corrupts analytics and erodes trust. Our entire QA process is built on two pillars: powerful automated checks followed by expert human verification.

    1. Automated QA Checks: Every dataset passes through a series of automated checks that validate its structural integrity and logical consistency. This includes checking for correct formatting, verifying completeness against previous runs, and flagging logical anomalies (e.g., a price that is completely outside a reasonable range).
    2. Manual "Ground-Truth" Verification: Automation is crucial, but it's the manual verification by our QA analysts that ensures true accuracy. Our analysts take a data sample and compare it field-by-field against the live source application. This rigorous "ground-truth" check guarantees the data we deliver is an exact match for what a real user sees. If any discrepancy is found, it is formally documented and escalated for resolution, ensuring we can contractually guarantee the highest possible level of accuracy.

Turn data chaos into a strategic advantage

Fill out the form to discuss how our fully managed infrastructure can deliver clean, reliable, and analysis-ready data for your enterprise. Let us handle the technical and legal complexity, so your team can focus entirely on generating strategic insights.

Drive measurable ROI
Achieve strategic clarity
Mitigate all data-related risk
Empower your expert teams
Out-innovate your competition

Need an NDA first? Just mention it in the form - we’re happy to sign.