Web Scraping Services — reliable data pipelines from public sources
Headless-browser scraping, structured extraction, and resilient pipelines — built TOS-aware and built to last.
Public web data is one of the highest-leverage inputs a modern business has: competitor pricing, market signals, lead enrichment, content aggregation, supply-chain visibility. The reason most scraping projects fail isn't getting one page parsed — it's keeping the pipeline alive when the target site redesigns, when Cloudflare or DataDome tightens, when the data volume outgrows a single VM, and when legal asks for an audit trail of what was scraped from where. We build scraping pipelines that survive all of that. Playwright or Puppeteer for headless browsers when the target needs JavaScript, plain HTTP + parser when it doesn't, residential proxy rotation only where needed (and never when it isn't), CAPTCHA-aware retry logic, structured output validated against a schema, and full lineage so you always know where a given record came from. We're explicit about what we will and won't scrape. Public, non-personal data on sites without an explicit anti-scraping clause: yes. Personal data, gated logged-in content, anything that crosses CFAA / GDPR / Computer Misuse Act lines: no, regardless of who's asking.
About this service
What "scraping" actually covers
From a one-off CSV to a daily structured feed
About a third of our scraping engagements are one-off jobs: pull this list of 8,000 records, clean it, hand over a CSV. About a third are scheduled feeds: nightly crawl of a target set, deltas posted into your warehouse. The remaining third are realtime watchers: pricing pages, listings, news feeds — change-detected and pushed into Slack or your product the moment they move.
Same engineering patterns underneath. The difference is how much resilience you actually pay for. We'll match the tier to the use case.
The legal and ethical line
We say no, in writing, to anything over the line
Web scraping isn't blanket-illegal in any jurisdiction we work in, but it does have real edges: violating a site's TOS, scraping personal data without a lawful basis under GDPR, bypassing a paywall or auth wall, evading rate limits in a way that imposes meaningful cost on the target, or crossing CFAA/Computer Misuse Act lines around "authorisation".
Before any engagement, we write down what we will and won't scrape, and you sign off on it. If the use case crosses a line, we'll tell you on the discovery call — and we walk away from work that doesn't pass that bar, even when the cheque is attractive.
Resilience and observability
Scrapers fail silently — ours don't
The most common failure mode of a scraper is that the target site changes its markup and the scraper silently returns empty results for a week. We treat that as a system bug. Every scraper we ship validates extracted records against a JSON schema, alerts when the success rate drops below a threshold, and logs the raw page snapshot for any failing record so you can debug without re-running the crawl.
Above a certain scale, we also wire change detection: when the structure of a page shifts, you find out the same day, not next quarter when the dashboard finally goes empty.
Real web scraping services patterns we’ve shipped
Not adjectives. Specific shapes of build we’ve taken to production for clients like you.
Competitor price intelligence
Daily crawl of 3–10 competitor catalogues, normalised SKU matching, change detection, diff posted into Slack and your warehouse.
Real-estate listing aggregator
Multi-portal aggregation, deduping, geo enrichment, lead-scoring against your criteria — a private MLS-equivalent.
Job-board aggregator
Vertical job board sourced from public listings, with employer normalisation, salary parsing, and remote/onsite classification.
News + content monitoring
Watch a curated set of publications, extract structured fields (headline, byline, date, topic), feed your editorial or BI dashboards.
Lead-enrichment pipeline
Given a company name or domain, pull public attributes (employee count, tech stack, recent press, social presence) and write them back to your CRM. No personal data without consent.
Supply-chain / inventory visibility
Pull public availability and lead-time data from supplier catalogues, build a unified dashboard for your procurement team.
One-off data migration
Customer leaving an old SaaS that has no export? We can often scrape the data out of the UI as a one-off (with their auth, with their permission), clean it, hand it over.
Anti-fraud / brand-protection sweeps
Crawl marketplaces for counterfeit listings of your brand, flag for legal review, track takedown success rates.
How a Web Scraping Services engagement actually runs
Five concrete steps with deliverables. No retainer fog.
Legal + ethical scope
Written sign-off on what's in scope: which sites, which fields, which jurisdictions, what counts as personal data, what happens if a target site sends a takedown. This step is non-negotiable.
Target reconnaissance
We map the target's anti-bot defences (Cloudflare, DataDome, Akamai), the JavaScript dependency of the data, the rate limits, and the structural stability. The plan flows from this.
Build with raw + parsed snapshots
We store raw HTML snapshots alongside parsed records. When the parser breaks, we can replay against historical raw data without re-crawling. This saves you weeks of debugging and lawyer-grade lineage.
Schedule, monitor, alert
Cron or queue-driven, with success-rate alerting, structural-change detection, and a per-job dashboard that shows latency, success rate, and record counts over time.
Handover + maintenance
Full docs, runbook, and 30 days of bug-fix support. Targets change — under a retainer, we keep the pipeline healthy; outside one, we re-engage when a target breaks.
Real brackets, no surprise invoices
Starting points. Exact quote on the scoping call — written, fixed, no hourly surprises.
One-off Extract
Single dataset, delivered once
- Up to 1 target site
- Up to ~50k records
- Clean CSV / JSON delivery
- 30 days bug-fix support
Production Pipeline
Scheduled + monitored, 4–6 weeks
- Up to 10 target sites
- Structured schema + validation
- Proxy rotation + CAPTCHA handling
- Slack / warehouse delivery
- Structural-change alerting
- 60 days support
Pipeline Retainer
Keep targets alive, add new ones
- Existing pipelines kept healthy
- 1–2 new target sites per month
- Anti-bot evolution tracking
- Quarterly cost + reliability review
Things real buyers ask before paying
If yours isn’t here, ask on the scoping call.
Often shipped alongside this
Automation Scripts
Custom scripts and workflow automations that quietly do hours of work in the background, every day.
API Integration Services
Bidirectional, idempotent integrations between your CRM, billing, comms, and product — built to survive retries, schema drift, and outages.
AI Agent Development
Custom AI agents built on Claude, GPT, and open models — wired to your data, your tools, and your real workflows.
Real builds in production
Ready to scope a Web Scraping Services build?
60-second AI consult and you’ll leave with a written plan. Prefer humans? Drop a custom quote request — we reply within a working day.