Slow incident response
Every outage becomes a thread of assumptions. Engineers spend more time isolating the cause than fixing it.
MindHog gives scraping teams a single command center to detect breakages, diagnose root causes, and ship validated fixes — in minutes, not hours.
Built for: teams whose scrapers drive customer-facing products and downtime is expensive.
Challenge rate spike after target login flow update. Fix set generated.
Session strategy adjusted and validated against canary jobs.
Drift alert resolved. Extraction schema stable across monitored pages.
When a scraper breaks, your team wastes hours in ad-hoc Slack threads, screenshot debugging, and manual retries. The root cause stays hidden across network, identity, and extraction layers.
Every outage becomes a thread of assumptions. Engineers spend more time isolating the cause than fixing it.
Is it an IP ban? TLS mismatch? Cookie decay? WAF trigger? Selector drift? There's no single source of truth.
Fixes are pushed to production blind. No controlled retry, no variant testing, no confidence before rollout.
From first alert to stable recovery, MindHog covers the full failure lifecycle across network, identity, and extraction layers.
Compare response behavior through your proxy versus a clean control IP. Instantly see whether the issue is a proxy burn, an IP ban, or an actual site outage — no more guessing.
AI-powered classification of failure causes with confidence scores. Identifies IP reputation issues, TLS mismatches, cookie/session decay, CAPTCHA triggers, and WAF blocks automatically.
Retry failed requests with controlled changes — swap the proxy, adjust headers, rotate sessions — and record outcome deltas to find the working combination.
Generate coherent, browser-version-specific headers for realistic request profiles. Get warnings when your claimed browser profile conflicts with your transport fingerprint.
Ingest proxy lists, validate alive status, score latency and reliability. Optional zero-config rotator API that routes traffic through the best live proxy automatically.
Export any known-good request path from diagnostics directly into runnable cURL, Playwright, or Python code. Move from root-cause to working fix without rebuilding config manually.
From first alert to stable recovery — designed for high-pressure environments and fast team handoffs.
Catch breakages and behavioral drift early with reliability signals tuned specifically for scraping workloads. Know what changed before your customers do.
Alerts & MonitoringUnderstand the probable root cause across transport, identity, and extraction layers. Block reason classification + comparative testing in one view.
Root Cause AnalysisTest and deploy the safest fix path with controlled replays and variant retries. Export working configs directly to code and keep an audit trail.
Fix & ValidateTeams adopt MindHog to protect revenue, cut firefighting hours, and give every engineer a repeatable path from incident to fix.
Root-cause classification with evidence and confidence — not hours of manual debugging and Slack threads.
Compare fix variants against controlled checks before production traffic is impacted. Ship with data, not hope.
Turn incidents into structured run history so engineering, product, and operations align on what happened and what changed.
“Before this, every outage became a thread of screenshots and assumptions. Now our team resolves incidents with one shared source of truth.”Head of Data Platform, Growth Marketplace
“The biggest win is predictability. New engineers can follow the same path as senior responders and ship safe fixes faster.”Engineering Manager, Travel Intelligence Team
Built for responsible, authorized web data operations with controls that support governance from day one.
Encourage explicit authorization, clear usage boundaries, and internal review readiness across every scraping operation.
Reduce risky behavior through safer operating patterns, quality checks, and controlled recovery flows built into the platform.
Capture decision context and incident evidence so compliance and engineering can stay aligned on every change.
Share your current scraping reliability challenges. We'll follow up with a tailored walkthrough and early access details.