Bot protection bypass for price and retail intelligence
Price intelligence and stock-monitoring platforms cover thousands of SKUs across protected storefronts, and they need that coverage to stay current to be worth anything. The bottleneck is rarely parsing the page; it is getting a trusted response from sites that treat automated traffic as hostile.
Flat per-solve pricing and raw-HTTP solves keep large catalogue sweeps economical, and vendor patches become our problem instead of your on-call incident.
Protection at catalogue scale
Major storefronts run Akamai Bot Manager, DataDome, and Imperva (Incapsula), often switching configuration by region or by how aggressively a given catalogue is crawled. Standing up a browser farm big enough to sweep that volume is expensive and fragile, and it breaks every time a vendor ships an update.
Solving over HTTP removes the per-page browser cost, so the economics scale with the number of solves rather than with the size of a browser fleet you have to keep patched and warm.
Why per-solve pricing matters here
Retail intelligence is a volume game: the unit cost of a single price check decides whether covering a competitor’s full catalogue is viable. Paying per solve rather than per browser makes wide, frequent sweeps predictable to budget, and the same endpoint covers whichever protection a given retailer happens to run.
When a retailer changes its protection, the solver is updated centrally and your request shape stays the same, so a catalogue sweep does not stall while you reverse-engineer a new challenge.
Products for this use case
Common questions
Answers for teams building in price & retail intelligence. For a target-specific answer, ask the engineers directly.
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