Frequently Asked Questions

Web scraping is the automated extraction of data from websites. Instead of manually copying information, software tools visit web pages and collect structured data at scale — far faster and more reliably than any manual process. Businesses use web scraping for competitive intelligence (monitoring competitor prices and product ranges), price monitoring (tracking market rates in real time), lead generation (building prospect lists from directories and listings), and broader business intelligence. UK Data Services designs and operates bespoke scrapers tailored to your exact data requirements.

We extract virtually any publicly available structured data. Common categories include product catalogues and pricing, contact information and professional directories, financial and securities data, property listings and market data, customer reviews and ratings, job postings, and news or content feeds. If a human can read it on a website, we can collect it automatically and deliver it in a clean, structured format.

We consistently achieve a 99.8% accuracy rate through a multi-layer validation framework. Every scraper includes schema validation at collection time, automated anomaly detection that flags unexpected values, cross-source verification where applicable, and scheduled human review of output samples. Monitoring runs continuously so any site layout change or data quality drop is caught and resolved quickly — usually before you ever notice an issue.

Yes. Web scraping is legal in the UK when conducted responsibly. The relevant legal frameworks are UK GDPR, the Data Protection Act 2018, the Computer Misuse Act 1990, and applicable website terms of service. Our compliance team reviews every project before work begins: we only collect publicly accessible data, we respect robots.txt directives, we operate within rate limits to avoid server strain, and we document our legal basis for each dataset. We do not access password-protected areas, bypass access controls, or circumvent technical protection measures.

GDPR compliance is built into every project from day one. We establish a clear lawful basis before collecting any personal data, apply data minimisation principles (collecting only what is genuinely needed), implement appropriate technical security measures for storage and transmission, and maintain full audit trails you can use for your own compliance records. Where a dataset contains personal data, we provide documentation including the data processing purpose, retention schedule, and your obligations as the data controller.

We take terms of service seriously and will not scrape sites where doing so would constitute a clear breach. In those cases we discuss alternative approaches with you. These include: using the site's official API if one exists, manual research and data collection, purchasing data directly from the publisher, or finding equivalent data from sources where scraping is permitted. We will always be transparent about what is and is not feasible within legal and ethical bounds.

We deliver in whatever format your workflow requires: Excel, CSV, JSON, XML, SQL database inserts, or direct API feeds in real time. We can push data to cloud storage (AWS S3, Google Cloud Storage), connect directly to your data warehouse or BI tool, or make it available via a REST API endpoint you query on demand. If you need a specific schema or field naming convention to match your internal systems, we handle that as part of the project setup.

Yes. Our infrastructure is cloud-native and distributed, capable of processing millions of records per day. We use horizontal scaling, load-balanced proxy rotation, and parallel processing pipelines to handle enterprise-scale requirements without performance degradation. Clients in financial services and e-commerce routinely run daily collections across tens of thousands of product pages or securities. We design capacity into every project so you can scale up without an engineering rebuild.

Yes. We use headless browsers — primarily Playwright and Selenium — that render JavaScript fully before extracting data, just as a real browser would. This means we handle React and Vue single-page applications, infinite scroll, lazy-loaded content, AJAX-driven tables, and complex login flows. Dynamic and JavaScript-rendered sites are our standard rather than an edge case.

Pricing depends on scope, data volume, frequency, and delivery format. As a guide: simple one-off extractions from a single source typically fall in the £500–£2,000 range; medium-complexity projects with multiple sources or ongoing runs are usually £2,000–£10,000; and large enterprise programmes with real-time feeds and integrations are priced from £10,000 upward. Monthly retainers for continuous monitoring services start from £500/month. All quotes are fixed-price with no hidden fees. Request a free quote and we will come back with a clear figure within one business day.

Simple one-source extractions are typically delivered within 1–3 business days. Medium-complexity projects covering multiple sources or requiring data transformation usually take 1–2 weeks. Complex builds involving many sources, custom integrations, or bespoke processing pipelines take 2–6 weeks. We provide a detailed timeline with milestones in every proposal so you know exactly when to expect deliverables.

Yes. Most of our clients move to an ongoing retainer after the initial build. We run scheduled collections — daily, weekly, or monthly — and deliver fresh data automatically to your chosen destination. We offer real-time monitoring with alerting for significant market changes, and flexible retainer terms with no long lock-in periods. The retainer covers infrastructure, maintenance, scraper updates when sites change, and priority support.

The process is straightforward: (1) Contact us via the form or phone with a brief description of your data needs. (2) We schedule a short consultation — usually 30 minutes — to understand your requirements in detail. (3) We produce a written proposal covering scope, timeline, deliverables, and fixed price. (4) Once agreed, we hold a project kick-off call and begin development. (5) You receive data delivery as agreed, with a review period before the project closes. For ongoing work, the retainer begins at that point.

To give you an accurate fixed-price quote, it helps to know: the target websites or sources you want data from; the specific data fields you need; approximate data volume (how many records or pages); how frequently you need the data updated; your preferred output format; and your timeline. You do not need to have all of this worked out in detail before contacting us — a rough brief is enough to start the conversation, and we will ask the right questions during the consultation.

All projects include a post-delivery review period during which we fix any issues at no additional cost. Beyond that, we offer ongoing support covering data interpretation and analysis, system integration assistance, staff training on using delivered datasets, and ongoing technical maintenance. Retainer clients receive a dedicated account contact and priority response times. We aim to be a long-term data partner, not a one-off supplier.