Web Scraping & Data Engineering
From dynamic websites to production-ready structured datasets. Built reliably, delivered clean, maintained over time.
What we handle.
Dynamic Website Scraping
JavaScript-rendered pages, SPAs, infinite scroll, AJAX-driven content — extracted cleanly without brittle workarounds. We use headless browsers where needed and lighter tools where we can.
Anti-Bot & Rate Limit Handling
Proxy rotation, request fingerprinting, exponential backoff, captcha-aware flows, and session management — designed in from day one, not bolted on after things break.
Structured Data Engineering
Schema design, normalisation, deduplication, type validation, and relational modelling — turning raw HTML into structured datasets you can actually use without post-processing.
Scheduled Automation
Cron-based pipelines with structured logging, failure alerts, retry queues, and health monitoring — running reliably without manual babysitting.
Ongoing Monitoring & Maintenance
Sites change structure all the time — and when they do, scrapers break silently. We run change-detection checks on all maintained scrapers, patch issues before they become outages, and send monthly extraction health reports so you're never caught off-guard.
How a scraping
project runs.
Requirement Clarification
We understand exactly what data you need, in what format, at what frequency, and what you plan to do with it. We ask the questions most developers skip — so there are no mismatches at delivery.
- Target data fields & schema
- Volume, frequency & update cadence
- Delivery format preference
- End-use context (dashboard, ML, archive)
Feasibility Analysis
We audit the target site — its rendering method, anti-bot posture, rate limits, ToS exposure, and data accessibility — before confirming scope or timeline. No surprises mid-project.
- Rendering & JS dependency check
- Anti-bot & CAPTCHA assessment
- Rate limit & legal exposure review
Scraper Architecture Design
We design the full extraction strategy — tool selection, schema, proxy configuration, storage format, error-handling model, and retry logic. You review and sign off before we write a single line of production code.
- Tool selection & stack decision
- Schema & data model design
- Error handling & retry strategy
Testing & Validation
We test against real pages across edge cases — empty states, pagination breaks, region locks, structural variations, and failure recovery. Output is validated against the agreed schema before anything is delivered.
- Edge case & error path testing
- Schema validation against spec
- Volume & throughput benchmarking
Structured Delivery
Data is delivered in your preferred format — CSV, JSON, direct PostgreSQL insert, or a REST API endpoint you can query. Clean, typed, and ready to use without post-processing on your end.
- CSV · JSON · SQL · API endpoint
- Type-validated, deduped output
- Documentation & schema handoff
Maintenance Plan
Sites change structure — and when they do, scrapers break silently. We offer SLA-backed monitoring with proactive patching, monthly health reports, and priority support. No retainer required — pay only if you need continuity.
- Change-detection monitoring
- SLA-backed breakage patching
- Monthly extraction health reports
Real problems.
Real outputs.
Product Catalogue Aggregation
JS rendering across thousands of SKUs with aggressive rate limiting and bot detection on product listing and detail pages.
Headless browser with distributed proxy rotation, request queue management, and exponential backoff with session cycling.
Stable daily extraction, high schema completeness, zero manual restarts over 3 months.
Review Data Pipeline
Dynamic pagination with nested AJAX responses and inconsistent structure across product categories.
Network-layer interception to call internal APIs directly — bypassing rendered HTML entirely for clean JSON at source.
Clean relational dataset, SQL-import ready, no post-processing or manual cleaning needed.
Your data, your format.
{
"product_id": "SKU-00412",
"title": "Wireless Headphones Pro",
"price": 89.99,
"currency": "USD",
"rating": 4.3,
"review_count": 1204,
"in_stock": true,
"extracted_at": "2025-01-15T09:12Z"
}| product_id | title | price | rating |
|---|---|---|---|
| SKU-00412 | Headphones Pro | 89.99 | 4.3 |
| SKU-00413 | Earbuds Lite | 34.99 | 4.1 |
| SKU-00414 | Speaker Max | 149.00 | 4.6 |
Questions we get
a lot.
Generally yes — scraping publicly available data is legal in most jurisdictions. We respect robots.txt where appropriate, never scrape private or authenticated data without permission, and advise on any grey areas before starting.
Sites change — it's a fact of life. Our scrapers include change-detection logic. On a maintenance plan, we patch breakages within 24–48 hours. Without one, we offer paid one-off fixes at a fair rate.
Simple static scrapers: 2–5 days. Complex JS-heavy pipelines with anti-bot handling: 1–3 weeks. We give you a realistic estimate after a 30-minute scoping call — not a template quote.
Yes, using your own credentials. We handle session management, cookie persistence, and authenticated requests. We never store or share credentials, and we only scrape data you have the right to access.
JSON, CSV, direct database insert (PostgreSQL / MySQL), or a REST API endpoint. We agree on format during scoping — whatever fits your existing workflow.
Meet My Little Web Spider
at Work
Press start and watch the spider wander across a few sites, grabbing bits of sample data along the way.