You built the scrapers. We’ll keep them running.
We respond in 12 hours on average
The engineering tax on in-house scraping
Anti-bot defenses have moved past IP detection. Cloudflare, DataDome, and others now fingerprint browsers, analyze behavior, and challenge at the session level. Good proxies aren’t enough anymore. Your engineers are spending cycles on an arms race that isn’t your product. We run this as a production operation with 15 years of depth, so you don’t have to.
Anti-bot systems handled
Cloudflare, DataDome, Akamai, custom defenses. We maintain browser profiles from economical to fully undetectable and invest continuously in staying ahead.
Layout changes absorbed
When source sites change their structure, we adapt the scrapers. You don’t notice. Your data keeps arriving on schedule.
Your schemas preserved
We match your existing data formats and delivery methods. CSV, JSON, database, API. The transition changes who runs the scrapers, not what you receive.
Cost per data point, not cost per request
We optimize for delivered data, not raw HTTP volume. The right technique per target keeps costs down as defenses evolve.
What you're probably doing now
Rotating residential proxies
A better IP pool should solve the blocking problem.
Modern anti-bot systems fingerprint the browser, not just the IP. You can rotate proxies forever and still get blocked at the session level.
Headless browser farms
Puppeteer or Playwright with stealth plugins. Looks like a real browser.
Stealth plugins lag behind detection updates. Each new Cloudflare release means another round of patching. Your engineers become anti-bot specialists instead of building product.
Third-party scraping APIs
Pay per request, someone else handles the proxies.
Works for simple targets. On heavily defended sites, success rates drop and per-request costs climb. You still own the parsing, scheduling, monitoring, and maintenance.
Why managed operations, not another tool
Tools solve part of the problem. A proxy provider handles IPs. A scraping API handles rendering. But you still wire them together, write the parsers, handle failures, adapt to layout changes, and monitor data quality. Managed operations means we own the full extraction pipeline. When something breaks at 2am, we fix it. When a site adds a new anti-bot layer, we adapt. Your team sees clean data on schedule.
Built for these situations
Tell us what you’re scraping today
We’ll assess your current sources, estimate transition effort, and give you a fixed monthly price.
Get a QuoteFrom your scrapers to our operations
Tell us what’s breaking
A short call to understand your current setup: which sites, what data, where the pain is. No commitment, no prep work on your side.
Start with the hardest sources
We take over the sources causing the most pain first. Proof of concept on real targets, not a demo.
Match your output
We replicate your existing data schemas and delivery methods. Your downstream systems don’t change.
Transition at your pace
Move sources over one by one or all at once. We run in parallel with your existing scrapers until you’re confident in the handoff.
Ongoing operations
We handle anti-bot adaptation, layout changes, infrastructure, and monitoring. You get data. We handle everything between the website and your pipeline.
Why choose Stratalis for managed scraping
We can handle any anti-bot system
Cloudflare, DataDome, Akamai, PerimeterX, custom in-house defenses. We maintain infrastructure specifically built to get through all of them. The variable is cost per data point, not feasibility.
Scraping is all we do
We’ve run production scrapers since 2010. Web scraping and data engineering is our entire business, not a feature inside a larger platform.
You talk to the engineers
No account managers between you and the people running your scrapers. When something needs attention, you talk to the person who can fix it.
Full stack, not just extraction
If you need databases, APIs, monitoring dashboards, or data pipelines around the scraped data, we build those too. One team, not four vendors.
FAQ
Yes. We replicate your current schemas and delivery methods. The goal is that your downstream systems don’t know the difference.
That’s the typical path. Most clients start with the sources that cause the most maintenance, then expand over time.
We have our own infrastructure and browser profiles. Your previous blocks don’t carry over. We start fresh with techniques matched to the target’s defenses.
First sources live within a week. A full transition depends on how many sources you run, but most operations are fully migrated within a month.