Agoda Proxy

GSocks equips revenue, distribution, and meta-search teams with a commercial-grade proxy layer tuned for Agoda’s market-by-market behavior. When your job is to verify rate parity, track mobile-only discounts, and capture availability windows in real time, you need network conditions that look like genuine travelers in the places they book—not brittle status codes. Our platform prioritizes rendered-page success and geo fidelity: country-targeted egress keeps routes short, sticky sessions preserve occupancy, dates, and traveler mix, and disciplined pacing maintains stability during holiday peaks and flash sales. Projects run on segregated subnets with their own keys, allow-lists, and retry budgets so parity sweeps don’t collide with comp-set audits or creative QA. Business-facing telemetry—effective cost per 1,000 successful renders, p95 time-to-rate table, coupon-surface capture rate, and LOS-grid completion—rolls directly into your planning dashboards. All collection is configured for lawful, respectful use: bounded concurrency, adaptive backoff, consistent device/locale hints, and immutable audit trails so counsel and partners can validate evidence. With GSocks, you replace anecdotes with time-stamped, currency-true artifacts that let distribution cut leaks, revenue teams tune fences, and marketing confirm that offers land exactly as intended across regions and devices.

Travel pricing is hyper-contextual: the same hotel can display different rates by country, device, traveler mix, and daypart. A useful fleet must preserve those inputs while staying predictable under load. GSocks provisions diversified ASNs across booking geographies and applies session pinning so calendars, guests (adults/children), and room count persist through search, PLP, PDP, and checkout-intent flows. Rotation is measured rather than chatty—fewer TLS handshakes, steadier latency, and higher render success when events spike demand. Workloads shard by business purpose (parity patrols, mobile-rate verification, LOS grids, tax/fee audits), each with its own concurrency caps, retry ceilings, and fair-use pacing. Observability goes beyond HTTP codes: we track time-to-first-rate, duplicate-batch incidence, filter stickiness (free cancellation, breakfast, pay at hotel), and variance across markets and carriers so schedulers can choose windows that best reflect traveler reality. Security and governance are standard: mTLS, IP allow-lists, role separation, kill-switches, and immutable logs with POP identifiers. During heavy sales, adaptive backoff and route diversity prevent stampedes, preserving human-like cadence and protecting third-party infrastructure. The result is a calm, reliable collection surface that behaves like a considerate guest while yielding consistent, comparable snapshots week over week.

Accuracy depends on getting the small things right at the edge. GSocks automates date pickers the same way a traveler does—respecting min/max stay, blackout periods, and check-in/check-out semantics—then anchors sessions to a healthy POP so step changes don’t reset inputs mid-run. We persist traveler mix, room count, and filters across pagination to minimize duplicate capture and missing variants. Coupon surface capture focuses on what’s actually rendered: strike-through deltas, “mobile only” badges, loyalty tiers, and payment-method promos. We record disclosure text, eligibility hints, and applied math with timestamps and viewport anchors, producing evidence that survives internal and partner scrutiny. For currency, outputs include as-seen prices (display currency, tax/fee inclusion policy) plus normalized values in a base currency for cross-market aggregation. We tag rate-plan attributes—refundable vs nonrefundable, breakfast, pay-now/pay-later, room/bed configuration—so downstream systems can reason about fences rather than guess from copy. Diagnostics expose module hydration latency, coupon-detect confidence, and currency-switch drift, helping teams debug quickly without rewriting collectors. Throughout, collection stays within your allow-lists and pacing rules; we do not provide bypass techniques—only stability, fidelity, and auditability.

Once locality and rendering are reliable, the data drives action. Parity monitoring compares your brand and contracted rates to Agoda’s displayed prices by market, device, and traveler type, flagging undercuts, missing taxes in totals, or fence leaks that quietly erode margin. LOS grids capture nightly ladders and length-of-stay discounts across future horizons, revealing where shoulder nights price oddly or where advance-purchase curves deviate from plan. Comp-set alerts watch peers for flash promos, mobile badges, and coupon overlays, triggering investigations when rank or visibility moves. Because GSocks maintains session continuity and geo targeting, snapshots reflect real shopper contexts rather than thin APIs, enabling cleaner A/Bs on copy, policy, and merchandising. Outputs arrive ready for decision-making: structured JSON with rate-plan objects, cancellation rules, fee breakdowns, and currency metadata, paired with screenshots and cryptographic hashes. Over time you establish baselines, detect anomalies sooner, and coordinate fixes faster with partners—closing the loop between distribution, revenue management, and paid media before missed nights turn into missed quarters.

Pick a partner on measurable outcomes and governance. Insist on rendered-page success at realistic scroll depth and concurrency, not just HTTP 200s; ask for p95/p99 time-to-rate table, retry composition by cause/POP, and evidence of stability during peak sales. Geo targeting must be first-class: country/city granularity and ASN diversity aligned to your demand mix, with proofs that sessions retain locale, currency, and traveler inputs across failover. Engineering speed matters: require JSON-first delivery with stable schemas for rate plans, room variants, taxes/fees, and coupon objects, plus SDK hooks for pagination, cursor reuse, and idempotent job IDs. Scheduler integrations should support windows, blackout periods, cost and success thresholds, and pause/resume based on external signals (e.g., parity breach detected). Governance is non-negotiable—mTLS, allow-lists, role separation, SIEM-exportable audit trails, and fair-use defaults that respect platform policies. GSocks ships with these controls, pricing tied to successful renders, and per-POP metrics out of the box. Run a short pilot, measure lift in geo fidelity and coupon capture, and scale knowing your cost per insight is predictable and your evidence will stand up in partner conversations.