Web Scraping
2026 Executive Guide to Prevent Web Scraping
At GroupBWT, where our core expertise lies in the mechanics of data scraping, we see a clear structural shift in...
AI Data Solutions for Scalable, Business-Ready Intelligence
Your models are only as good as the data underneath them. We have built that layer across 140+ production systems — pipelines, warehouses, and a validation layer an AI system can trust.
100+
software engineers
15+
years industry experience
$1 - 100 bln
working with clients having
Fortune 500
clients served
We are trusted by global market leaders
Our Services Across the Data Lifecycle
Eight services across three stages — get data in, make it trustworthy, make it usable by models.
AI-Ready Pipelines
We validate every record at write time, so confidently wrong values never reach the model.
AI Data Integration
We merge legacy stacks, SaaS tools, and APIs into one schema, deduplicating even without a shared ID.
AI Data Processing
We normalize messy multi-source feeds into one keyed table the model can read directly.
AI Data Enrichment
We turn thin records into usable features — one project lifted email coverage from 72% to 93%.
AI Data Structuring
We model data into governed layers — Data Vault or Medallion — so every workflow reads one trusted set of tables.
AI Predictive Workflows
We build forecasting and ML feeds with point-in-time correctness, so training and production read the same data.
Real-Time AI Automation
We stream where it pays and batch elsewhere, alerting on a stale feed before it shapes a decision.
Custom Data AI Solutions
We scope each build around one question: what decision does this improve, and how often?
Why Businesses Need AI-Powered Data Solutions
AI fails more often at the data layer than at the model: numbers from two systems never reconcile, inputs refresh weekly, and every project starts by re-cleaning the same broken source.
Fragmented Data and Limited Visibility Across Systems
Pricing, inventory, and customer behavior live in separate systems. Until they share one schema, every AI initiative re-cleans misaligned inputs.
Slow Decision-Making Without AI-Driven Data Workflows
A model trained on week-old behavior decides about a market that no longer exists. Speed is an engineering problem.
How We Improve Speed, Accuracy, and Scale
We move validation upstream and template the build, so AI workloads read the same trusted tables that today’s reports read.
Not sure your data is ready for AI?
Tell us what you are running and get a straight answer on your biggest data risk within 24 hours.
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Custom Solutions by Industry
Data Services That
Pair With Your AI Build
Most AI data work touches one of three adjacent disciplines.
Core Technologies We Build On
Ingestion & Parsing
Web Collection
Crawl and browser automation at scale.
Scrapy | Playwright
Scrapy | Playwright
Managed Connectors
Pre-built pipes from SaaS platforms and databases.
Fivetran | Airbyte
Fivetran | Airbyte
Event Streaming
Real-time ingestion of message buses.
Kafka
Kafka
AI-Assisted Parsing
LLMs that read unstructured pages.
Claude | GPT | SpaCy
Claude | GPT | SpaCy
Orchestration & Transformation
Open-Source Orchestrators
DAG schedulers we run on your infrastructure.
Apache Airflow | Dagster | Prefect
Apache Airflow | Dagster | Prefect
Transformation
SQL-first modeling and big-data compute.
dbt | Spark
dbt | Spark
Stream Processing
Transforming data in motion as it arrives.
Apache Flink
Apache Flink
Runtime
Containerized execution on your cluster.
Kubernetes
Kubernetes
Storage & Warehousing
Object Storage
Raw and staged files in the data lake.
Amazon S3 | Google Cloud Storage
Amazon S3 | Google Cloud Storage
Lakehouse
Unified storage and compute in one layer.
Databricks
Databricks
Cloud Warehouses
Managed analytical stores.
Snowflake | BigQuery | Redshift
Snowflake | BigQuery | Redshift
Relational
Transactional and operational data.PostgreSQL
Quality & Governance
Data Validation
Tests that gate every load.
Great Expectations
Great Expectations
Data Observability
Freshness, volume, and anomaly monitoring.
Monte Carlo | Soda
Monte Carlo | Soda
Catalog & Lineage
Governed access and traceability.
Unity Catalog
Unity Catalog
Access & Secrets
Role-based access and credential management.
HashiCorp Vault
HashiCorp Vault
AI/ML Stack
Deep-Learning Frameworks
Model training and inference.
PyTorch | TensorFlow
PyTorch | TensorFlow
Experiment Tracking
Versioning and a model registry.
MLflow
MLflow
Model Serving
Deploying trained models behind low-latency APIs.
TorchServe | BentoML
TorchServe | BentoML
Specialized Models
Domain-specific recognition.
Cognitec FaceVACS
Cognitec FaceVACS
Benefits of an Engineered Data Layer
What changes
Without an engineered layer:
With an engineered data layer:
Time-to-insight
New sources take days to wire in; reporting lags the business.
New sources online in hours — one data lake cut change-to-BI sync to under 15 minutes.
Data quality
Accuracy is best-effort; broken feeds surface in the dashboard, not before.
Accuracy is written into the contract — 98%+ as a delivery condition.
Manual work and cost
Engineers hand-patch pipelines and babysit runs; cost scales with headcount.
A UK job board runs 60–80K vacancies a day with drift alerts into Slack — no manual watch.
Scalable foundations
Every new use case is a fresh one-off build.
The same architecture serving today's reports feeds tomorrow's models.
Time-to-insight
Without an engineered layer
New sources take days to wire in; reporting lags the business.
With an engineered data layer
New sources online in hours — one data lake cut change-to-BI sync to under 15 minutes.
Data quality
Without an engineered layer
Accuracy is best-effort; broken feeds surface in the dashboard, not before.
With an engineered data layer
Accuracy is written into the contract — 98%+ as a delivery condition.
Manual work and cost
Without an engineered layer
Engineers hand-patch pipelines and babysit runs; cost scales with headcount.
With an engineered data layer
A UK job board runs 60–80K vacancies a day with drift alerts into Slack — no manual watch.
Scalable foundations
Without an engineered layer
Every new use case is a fresh one-off build.
With an engineered data layer
The same architecture serving today's reports feeds tomorrow's models.
How We Deliver
Four phases, each with a documented outcome; the engineers who design the system stay on after go-live.
01/04
01/04
Why Choose GroupBWT as Your Data Partner
We are a data engineering team — not a platform reseller, not a slide-deck consultancy. If you are weighing which AI data solutions company fits your stack — or who the best company for AI ready data solutions is — these are the things that tend to matter once the contract is signed.
Proven in Production
140+ production systems are still running today, not theorized in a deck.
Built for Your Goals
Every pipeline is shaped by your workflows and the decision it supports.
Proof Behind Every Number
Every number here names the GroupBWT action that produced it.
Vendor-Neutral by Default
We rule a platform out and tell you why.
Runs in Your Cloud
We deploy inside your own AWS, Azure, or GCP account — the dataset is yours from day one.
The Builders Stay On
The team that scopes the work ships it and supports it.
Our Cases
Our partnerships and awards
What Our Clients Say
What do you like best?
Their deep understanding of our needs and how to craft a solution that provides more opportunities for managing our data. Their data solution, enhanced with AI features, allows us to easily manage diverse data sources and quickly get actionable insights from data.
What do you dislike?
It took some time to align the a multi-source data scraping platform functionality with our specific workflows. But we quickly adapted and the final result fully met our requirements.
What do you like best?
It was incredible how they could build precisely what we wanted. They were genuine experts in data scraping; project management was also great, and each phase of the project was on time, with quick feedback.
What do you dislike?
We have no comments on the work performed.
What do you like best?
GroupBWT is the preferred choice for competitive intelligence through complex data extraction. Their approach, technical skills, and customization options make them valuable partners. Nevertheless, be prepared to invest time in initial solution development.
What do you dislike?
GroupBWT provided us with a solution to collect real-time data on competitor micro-mobility services so we could monitor vehicle availability and locations. This data has given us a clear view of the market in specific areas, allowing us to refine our operational strategy and stay competitive.
What do you like best?
The company's dedication to understanding our needs for collecting competitor data was exemplary. Their methodology for extracting complex data sets was methodical and precise. What impressed me most was their adaptability and collaboration with our team, ensuring the data was relevant and actionable for our market analysis.
What do you dislike?
Finding a downside is challenging, as they consistently met our expectations and provided timely updates. If anything, I would have appreciated an even more detailed roadmap at the project's outset. However, this didn't hamper our overall experience.
What do you like best?
GroupBWT excels at providing tailored data scraping solutions perfectly suited to our specific needs for competitor analysis and market research. The flexibility of the platform they created allows us to track a wide range of data, from price changes to product modifications and customer reviews, making it a great fit for our needs. This high level of personalization delivers timely, valuable insights that enable us to stay competitive and make proactive decisions
What do you dislike?
Given the complexity and customization of our project, we later decided that we needed a few additional sources after the project had started.
What do you like best?
What we liked most was how GroupBWT created a flexible system that efficiently handles large amounts of data. Their innovative technology and expertise helped us quickly understand market trends and make smarter decisions
What do you dislike?
The entire process was easy and fast, so there were no downsides
What do you like best?
Their deep understanding of our needs and how to craft a solution that provides more opportunities for managing our data. Their data solution, enhanced with AI features, allows us to easily manage diverse data sources and quickly get actionable insights from data.
What do you dislike?
It took some time to align the a multi-source data scraping platform functionality with our specific workflows. But we quickly adapted and the final result fully met our requirements.
What do you like best?
It was incredible how they could build precisely what we wanted. They were genuine experts in data scraping; project management was also great, and each phase of the project was on time, with quick feedback.
What do you dislike?
We have no comments on the work performed.
What do you like best?
GroupBWT is the preferred choice for competitive intelligence through complex data extraction. Their approach, technical skills, and customization options make them valuable partners. Nevertheless, be prepared to invest time in initial solution development.
What do you dislike?
GroupBWT provided us with a solution to collect real-time data on competitor micro-mobility services so we could monitor vehicle availability and locations. This data has given us a clear view of the market in specific areas, allowing us to refine our operational strategy and stay competitive.
What do you like best?
The company's dedication to understanding our needs for collecting competitor data was exemplary. Their methodology for extracting complex data sets was methodical and precise. What impressed me most was their adaptability and collaboration with our team, ensuring the data was relevant and actionable for our market analysis.
What do you dislike?
Finding a downside is challenging, as they consistently met our expectations and provided timely updates. If anything, I would have appreciated an even more detailed roadmap at the project's outset. However, this didn't hamper our overall experience.
What do you like best?
GroupBWT excels at providing tailored data scraping solutions perfectly suited to our specific needs for competitor analysis and market research. The flexibility of the platform they created allows us to track a wide range of data, from price changes to product modifications and customer reviews, making it a great fit for our needs. This high level of personalization delivers timely, valuable insights that enable us to stay competitive and make proactive decisions
What do you dislike?
Given the complexity and customization of our project, we later decided that we needed a few additional sources after the project had started.
What do you like best?
What we liked most was how GroupBWT created a flexible system that efficiently handles large amounts of data. Their innovative technology and expertise helped us quickly understand market trends and make smarter decisions
What do you dislike?
The entire process was easy and fast, so there were no downsides
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FAQ
How does an AI-ready data layer work?
Pipelines collect data, quality gates score each record’s correctness as it is written, and the modeled tables feed machine-learning components for forecasting, anomaly detection, or personalization. The write-time check keeps a dashboard defensible when the boardroom questions a number of months later.
Which industries benefit most from AI-ready data work?
Any industry where decisions depend on fresh, high-volume data across disconnected systems — E-Commerce, Retail, Travel, Beauty & Personal Care, Cybersecurity, Legal & Government, and Telecom all see strong returns wherever competitive, regulatory, or coverage data changes fast.
What if we already have an in-house data team?
Most of our clients do. We work alongside them, usually taking the pipeline and validation layer so analysts and data scientists stop re-cleaning inputs — and we hand the system back documented once it is stable.
You have an idea?
We handle all the rest.
How can we help you?
