Web Scraping Services & Data Extraction Pipelines
SpiderHunts Technologies are Python web scraping experts. We build production-grade data extraction systems using Scrapy, Playwright, Selenium, and Beautiful Soup - with anti-bot bypass, rotating proxies, scheduled crawlers, and real-time data pipelines. Serving businesses in the USA, UK, Canada, and Europe since 2015.
Quick Answer - What is Web Scraping?
Web scraping is the process of automatically extracting structured data from websites - product prices, contact details, news articles, listings, reviews - and delivering it in a clean machine-readable format like JSON, CSV, or a database. SpiderHunts Technologies builds custom Python scrapers using Scrapy, Playwright, and Selenium, with anti-bot bypass, proxy rotation, and scheduled crawlers that keep your data fresh.
- Technology
- Python, Scrapy, Playwright, Selenium, Beautiful Soup
- Delivery
- 3-7 days simple / 2-4 weeks complex
- Cost Range
- £500-£5,000 one-time / £200-£2,000/mo
- Anti-Bot
- Proxies, CAPTCHA solving, headless browsers
- Output
- JSON, CSV, PostgreSQL, MongoDB, S3, API
Web Scraping Services We Deliver
Every business has a data problem hiding inside someone else's website. Whether you need a one-time export of 50,000 records or a 24/7 pipeline ingesting millions of price points daily, we build the scraper, the infrastructure, and the monitoring around it. SpiderHunts Technologies has shipped 300+ web scraping projects since 2015.
Structured Data Extraction
Convert messy HTML, JavaScript-rendered DOMs, and PDF tables into clean structured data - JSON, CSV, PostgreSQL, MongoDB. Schema validation, deduplication, and quality checks built in.
Anti-Bot Bypass & Proxy Management
Bypass Cloudflare, PerimeterX, DataDome, and reCAPTCHA using rotating residential proxies, realistic browser fingerprints, header rotation, and CAPTCHA solving services. Lightest-touch approach, always.
Scheduled Crawlers & Cron Jobs
Hourly, daily, or weekly crawls running on Airflow, cron, or AWS Lambda. Incremental scraping, change detection, retry logic, and alerting when targets break or data quality drops.
Real-time Data Pipelines
Streaming extraction with Kafka, Redis, or AWS Kinesis for use cases where data freshness matters in seconds - price monitoring, news feeds, inventory tracking, signal generation.
Image & Document Extraction
Download and process images, PDFs, and documents at scale. OCR pipelines using Tesseract or AWS Textract for invoices, contracts, listings, and scanned records.
Browser Automation (Playwright/Selenium)
Full browser automation for JavaScript-heavy sites, multi-step login flows, form submissions, and authenticated scraping. Playwright and Selenium with stealth plugins and human-like behaviour.
Why In-House Web Scraping Fails at Scale
Building one scraper is easy. Building a fleet of scrapers that survive anti-bot defences, schema changes, IP bans, and CAPTCHA challenges - while delivering clean data 24/7 - is a different problem entirely.
DIY or Off-the-Shelf Scrapers
- Breaks every time the target site changes its HTML
- Blocked by Cloudflare and other anti-bot systems within hours
- Free proxies get banned within minutes - residential proxies cost a fortune without rotation logic
- No deduplication, schema validation, or quality monitoring
- Generic scraping tools cap out at low volumes and break on JavaScript-heavy sites
- Compliance and ToS risk - no legal review of what is permissible to scrape
With SpiderHunts Custom Scraping
- Resilient parsers with monitoring that alert on schema drift before data quality drops
- Anti-bot bypass that handles Cloudflare, PerimeterX, DataDome, reCAPTCHA
- Smart proxy rotation across residential, datacenter, and mobile IP pools
- Built-in deduplication, schema validation, and quality dashboards
- Scales to millions of URLs daily on AWS, GCP, or Azure
- Compliance-first - robots.txt aware, ToS reviewed, GDPR considerations
Web Scraping Use Cases
From sales intelligence to price monitoring, our scrapers feed the data pipelines behind investor dashboards, competitor analyses, and operational decisions for businesses across every sector.
Use Case 01
B2B Lead Generation Database
Built a scraper feeding a sales team with 200,000+ verified B2B contacts monthly - company names, decision-maker emails, LinkedIn profiles - extracted from public directories and enriched with firmographics.
Use Case 02
E-commerce Price Monitoring
Hourly price and stock scraping across 40 competitor websites for a UK retailer - feeding a dynamic pricing engine that adjusted 12,000 SKUs in near real time, lifting margin by 6%.
Use Case 03
Real Estate Listings Aggregator
Daily extraction of 500,000+ property listings across 30 portals for a PropTech startup - including images, price history, agent details, and geo-coordinates - feeding their investment screening tool.
Use Case 04
News & Sentiment Pipeline
Real-time news scraping from 200+ sources for a hedge fund - article extraction, deduplication, NER, and sentiment scoring delivered to their trading desk within 90 seconds of publication.
Use Case 05
Travel Pricing Intelligence
Hotel and flight pricing extraction for an OTA - 5 million daily quotes across 80 destination pairs, anti-bot bypass for major booking engines, structured into a BigQuery warehouse for analytics.
Use Case 06
Compliance & Brand Monitoring
Daily marketplace scraping for a luxury brand looking for counterfeit listings - cross-referencing images, prices, and seller patterns against authorised retailer feeds and flagging high-confidence matches.
Industries Using Our Web Scraping Services
Web scraping powers competitive intelligence, lead generation, market research, and product decisions across every industry that competes on data. Here are some of the sectors we work with most often.
Lead Generation
B2B contact extraction, decision-maker enrichment, intent signals, and verified email pipelines for sales and growth teams.
Price Monitoring
E-commerce competitor pricing, MSRP enforcement, dynamic repricing feeds, and stock availability tracking across retail networks.
Real Estate
Property listings aggregation, price history, agent data, and rental yield analysis across portals in the UK, US, and EU.
News & Media
Article extraction, sentiment analysis, topic clustering, and media monitoring for PR, finance, and policy intelligence teams.
Travel & Hospitality
Hotel and flight pricing intelligence, availability tracking, and review extraction for OTAs, metasearch engines, and revenue managers.
Finance & Investment
Alternative data sourcing - SEC filings, earnings transcripts, alt-data feeds, and signal extraction for hedge funds and analysts.
Why Businesses Choose Us for Web Scraping
There are countless freelancers who can write a one-off scraper. There are very few teams who can run production scraping infrastructure that survives the real world. Here is what sets SpiderHunts apart.
10+ Years Python Experience
A decade of Python and data engineering experience. We have written scrapers for nearly every category of website, from static blogs to authenticated enterprise SaaS apps.
Anti-Detection Expertise
Deep experience with Cloudflare, PerimeterX, DataDome, Akamai, and reCAPTCHA - including stealth fingerprinting, TLS handshake tuning, and human-like behaviour simulation.
Proxy & IP Rotation
Smart rotation across residential, datacenter, ISP, and mobile proxy pools. Geo-targeting, sticky sessions, sub-network awareness, and built-in failure recovery.
Compliance & Ethics
We respect robots.txt, honour ToS where required, and review every project for GDPR and CCPA implications. We will tell you when something is not advisable - not just whether it is possible.
Scalable Infrastructure
From a single VM to a horizontally scaled Kubernetes cluster running thousands of concurrent crawls. Cost-aware architecture with autoscaling and budget guardrails.
Maintenance & Monitoring
Broken-selector alerts, schema drift detection, quality dashboards, and SLA-backed maintenance retainers. Scrapers stay alive long after they ship.
Custom Scrapers vs SaaS Tools vs In-House - What Wins?
There are three common paths to scraping. Here is an honest comparison so you can pick the one that fits your data needs and budget.
| Feature | SpiderHunts Custom | SaaS Scraping Tools | In-House Team |
|---|---|---|---|
| Handles complex anti-bot | Yes - full bypass stack | Partial - basic only | Depends on expertise |
| JavaScript-heavy sites | Yes - Playwright/Selenium | Limited | Depends on stack |
| Custom data schemas | Yes - any format | Limited presets | Yes |
| Scales to millions/day | Yes - K8s ready | Expensive at scale | Slow to build out |
| Maintenance & monitoring | Yes - retainer | Vendor handles | High internal cost |
| Setup time | 3 days to 4 weeks | Hours - if site supported | Months to staff up |
| Long-term cost | Lower | High ongoing fees | Highest with salaries |
Our Web Scraping Technology Stack
We use modern, proven Python libraries and cloud-native infrastructure. Every stack decision is made for your specific target sites, data volume, and budget.
| Category | Tools & Technologies |
|---|---|
| Languages | Python, JavaScript (Node.js) |
| Libraries | Scrapy, Playwright, Selenium, Beautiful Soup, Requests, aiohttp, lxml |
| Anti-Detection | Rotating residential proxies, CAPTCHA solving, user-agent rotation, stealth fingerprinting |
| Storage | PostgreSQL, MongoDB, AWS S3, BigQuery, CSV, JSON, Parquet |
| Scheduling | Apache Airflow, Cron, AWS Lambda, Prefect, GitHub Actions |
| Cloud | AWS, GCP, Azure - with Kubernetes, ECS, Cloud Run for scale-out |
| Monitoring | Sentry, Grafana, CloudWatch, Datadog, custom quality dashboards |
Web Scraping by Industry - Quick Reference
Different industries scrape different data for different reasons. Here is a quick reference table of common use cases we deliver.
| Industry | Use Case | Typical Output |
|---|---|---|
| Lead Generation | B2B contact extraction from directories | CSV/CRM-ready contacts with firmographics |
| E-commerce | Competitor price & stock monitoring | Live pricing dashboard, repricing API |
| Real Estate | Property listings aggregation | Geo-tagged listings DB with price history |
| News & Media | Article extraction & sentiment analysis | JSON feed with NER and sentiment scores |
| Travel | Hotel & flight pricing intelligence | BigQuery warehouse with historical pricing |
Our Web Scraping Process
A predictable, transparent process from kick-off to production. You see working data on day one, not six weeks in.
Target & Scope Review
We audit the target sites, anti-bot defences, schema, and ToS. You receive a fixed-price quote with a feasibility statement and compliance notes.
Prototype & Validation
Within a week you see a working prototype scraping the target and producing sample data. You validate the schema and data quality before we scale up.
Production & Infrastructure
We harden the scraper with proxy rotation, retries, monitoring, and quality checks. Deployed to your cloud account or ours, with scheduled crawls running 24/7.
Monitor, Maintain & Improve
Optional retainer covering broken-selector fixes, anti-bot updates, schema drift, and quality dashboards. Most clients pay 10-20% of build cost monthly for full coverage.
Numbers Behind SpiderHunts
Since 2015, SpiderHunts Technologies has built data extraction systems for startups, scale-ups, and Fortune-listed enterprises on four continents.
Web Scraping Services - USA, UK, Canada & Europe
SpiderHunts Technologies is a UK-registered web scraping company delivering data extraction systems for businesses across four continents. We operate as your dedicated data engineering team - transparent, communicative, and accountable.
United States
Web scraping for US businesses. Geo-targeted residential proxies for US-only content, CCPA-aware data handling, and AWS US-East deployments.
United Kingdom
UK-based scraping company. London office (E6 2JA). GDPR-aware architecture, same-timezone support, and UK residential IP pools.
Canada
Data extraction for Toronto, Vancouver, Montreal, and Calgary businesses. PIPEDA-aware and Canadian-IP coverage when needed.
Europe & South Africa
GDPR-compliant scraping for EU clients. Country-specific proxy pools, multi-language extraction, and EU-region cloud deployments.
Frequently Asked Questions
Everything you need to know about commissioning a custom web scraping project from SpiderHunts Technologies.
Is web scraping legal?
Yes, web scraping is legal when conducted ethically. We only scrape publicly available data, respect robots.txt directives, honour rate limits, and avoid violating site Terms of Service. We do not scrape content behind logins, personal data covered by GDPR without lawful basis, or copyrighted material for redistribution. Every project starts with a compliance review so you know exactly what is permissible.
How much does web scraping cost?
A one-time web scraping project typically costs between £500 for a simple single-source scraper and £5,000+ for a complex multi-site extraction with anti-bot bypass. Ongoing scraping with monitoring, proxy rotation, and maintenance runs £200 to £2,000+ per month depending on scale and frequency. SpiderHunts provides a fixed-price quote after a free discovery call.
Can you bypass anti-bot protection?
Yes. We routinely handle Cloudflare, PerimeterX, DataDome, Akamai, and reCAPTCHA-protected targets using rotating residential proxies, realistic browser fingerprints, header rotation, third-party CAPTCHA solving services, and headless browser automation with Playwright or Selenium. We choose the lightest-touch approach that works for your target.
What technologies do you use for web scraping?
Our default stack is Python with Scrapy for high-volume crawling, Playwright or Selenium for JavaScript-heavy sites, Beautiful Soup and lxml for parsing, and aiohttp for async pipelines. Data is stored in PostgreSQL, MongoDB, or S3 depending on volume and access pattern. Scheduling runs on Airflow, cron, or AWS Lambda.
How fast can you deliver a scraper?
Simple scrapers targeting a single site with no anti-bot defences are typically delivered in 3 to 7 days. Complex multi-site scrapers with anti-bot bypass, scheduled crawls, and a hosted data pipeline take 2 to 4 weeks. We provide a working prototype within the first week so you can validate the data quality early.
Do you handle JavaScript-heavy single page applications?
Yes. Modern sites built with React, Vue, Angular, or Next.js render most content client-side, breaking traditional HTTP-only scrapers. We use Playwright and Selenium to drive real browser engines (Chromium, Firefox, WebKit) that execute JavaScript, wait for network idle states, and extract data exactly as a user would see it.
Will the scraper keep working over time?
Websites change their HTML structure and anti-bot defences regularly, which breaks scrapers. We offer maintenance retainers that include monitoring, broken-selector alerts, weekly health checks, and rapid fixes. Most clients on a retainer experience minimal downtime even when target sites redesign.
Related Services
Other services businesses combine with web scraping
Related Guides
Deep dives and reference reading from the SpiderHunts blog
Ready to Extract the Data You Need?
Tell us which sites you want to scrape and what data you need. Book a free 30-minute discovery call and we will scope your project - with a clear architecture, timeline, and fixed price.