Free your experts
Your best people are too expensive to be fixing scrapers. We deliver the clean data, so your experts can focus on high-value analysis and strategy.
Transform the public web into your proprietary data source with DoubleData's scalable, fully managed web scraping services for informed decision-making.

Extraction
ParsingWe scrape data from over 5,000 sources
DoubleData is not affiliated with or endorsed by the companies shown.
Web scraping services automate the extraction of data from websites, turning unstructured web content into structured, usable data. Businesses use web scraping to collect product listings, monitor competitors, gather market insights, or build datasets for analysis, enabling faster decision-making and improved business strategies. Internal data alone isn't enough. Key struggles we solve for different teams.
Problem
Your most expensive talent, data scientists and BI developers, are bogged down by ad hoc scraping requests from the business. Strategic models and the data warehouse wait while they debug brittle scripts. It wastes their time, kills motivation and leads to talent churn.
Solution
We take the entire data acquisition burden off your plate. Our fully managed service means your team never has to write, debug, or maintain another scraper, freeing them to focus 100% on strategic, high-value work.
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.
Flight paths, frequencies, and capacity data for airline route and network analysis, from our managed scraping and matching service. Book a demo.
Compare FMCG pack sizes like for like, with per-unit prices for product variations and bundles across retailers. Book a demo today.
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 data for audiobooks: see which titles sit on one platform or many, from our managed data service. Book a demo today.
Find the events and artists your competitors list but your ticketing platform does not. Book a demo.
Benchmark your food delivery operations against the delivery time estimates competitors show across platforms. Request a demo.
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Choosing the right web scraping approach depends on your project's complexity and scale. The fundamental choice you face is between a tool that creates more technical tasks and a service designed to deliver business outcomes.
| 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 |
Identify gaps and optimize your web & mobile data pipeline. It's completely free and without obligation.
We solve business problems with structured, scalable data pipelines that take you from a data need to a ready-to-use, tailored dataset.
We start by deeply understanding your goals, mapping data sources, and defining precise requirements to create a clear success blueprint.
We design and deploy infrastructure with targeted proxies and optimized cloud resources for reliable, scalable data acquisition.
Our experts engineer custom scraping solutions, built to navigate complex web, mobile, or API targets effectively and reliably at scale.
Raw data is cleansed, validated, and transformed into a unified, consistent format, ready for immediate analysis.
Our proprietary ML and industry know-how deliver highly accurate data matching, customized to your project's unique logic.
For ultimate precision, our teams can manually tag and annotate data, meeting the most specialized quality benchmarks.
Every dataset undergoes dedicated QA, combining automated checks with expert review for enterprise-grade accuracy.
Receive clean, structured data in your preferred format (e.g., CSV, JSON, API, direct to DB) and frequency, ready to integrate with your systems.
Transform data into actionable intelligence with custom dashboards and reports, crafted by our data science specialists.
We provide continuous monitoring, ongoing maintenance, and adaptive support, acting as your dedicated data partner for sustained reliability.
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.
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 browsing 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 CAPTCHA challenges, so data collection keeps running.
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.
Our standard promise is 99.9% uptime for the DoubleData systems that orchestrate scraper execution. Behind it is our own proprietary scraping infrastructure, built fully in-house on top of global cloud platforms and designed from day one to handle huge, unpredictable workloads. A decoupled microservices architecture on Kubernetes is designed to avoid single points of failure and keep availability high. Because each service is containerized and independent, we can roll out updates to any component without taking the whole system down.
Yes, and we're very good at it. We have a lot of experience with native iOS and Android apps. They're much harder than standard web scraping, since apps carry extra security built to stop exactly this. Our team figures out how the app talks to its servers, then builds systems that call its API just as a real phone does. Certificate pinning and similar roadblocks don't stop us, and you get clean data straight from the source.
All three, so getting data into your system is the easy part. Pull data from our API whenever you need it, or have us ping your system with a webhook the moment a new dataset is ready. We can even drop the files straight into your cloud storage bucket, like Amazon S3 or Google Cloud. Data comes in standard formats like JSON or CSV, or in high-performance formats like Parquet for massive datasets. Our ready-to-go connectors plug into the tools you already use, including Snowflake, BigQuery, Tableau and Power BI, so your team can start working with the data right away, with almost no setup.
Every dataset passes two layers of QA, automated checks and then expert human verification, because bad data is useless. The automated checks validate structural integrity and logical consistency: they confirm the format matches the agreed template, verify completeness (for example, by comparing row counts with previous runs) and flag anomalies, like a price or fee far outside a reasonable range. Then our QA analysts run a rigorous manual "ground-truth" check, taking a data sample and comparing it field by field against the live source app. That guarantees the data we deliver matches exactly what a real user sees, and it catches the subtle errors automated systems can miss. Any discrepancy, no matter how small, is formally documented, gets a trackable issue link and goes straight to our engineering team to resolve.