Lead-Generation Proxy

GSocks provides a commercial, compliance-first proxy layer for teams that rely on public, business-facing profiles to discover accounts, surface decision-makers, and enrich funnels. Instead of gambling on brittle IP lists and ad-hoc scripts, we deliver a predictable network surface that behaves like a considerate user: steady latency, high success on rendered pages, and verifiable provenance for every captured business attribute. Our approach is simple—stability and governance first, speed second. City/region egress mirrors where your sellers operate, while session stickiness preserves filters, pagination, and language settings across multi-step journeys. Each project is isolated with its own keys, allow-lists, and pacing ceilings so competitive research never collides with territory planning or partner audits. Telemetry speaks revenue: p95 time-to-first-result, card/listing completion, duplicate suppression, and effective cost per 1,000 successful captures, all exportable for finance and RevOps. We do not provide evasion tooling, credential harvesting, or scraping of non-public/consent-restricted personal data. GSocks enables lawful collection of business information from permitted sources so your GTM motion earns trust, avoids surprises, and scales with confidence.

A credible lead-gen footprint begins with realistic vantage points and careful scoping. GSocks curates diversified residential and business ASNs across your target regions, then pins sessions to healthy POPs so category filters, query refinements, and locale cues remain coherent across directories, professional networks (where permitted), and review portals. Rotation is measured—not noisy—to reduce handshake churn and protect render rates on JS-heavy listings. Workloads shard by goal: account discovery, role mapping, location validation, and reputation checks each run with distinct windows, concurrency caps, and retry budgets. Observability goes beyond status codes: we track first-paint for listing grids, pagination persistence, profile-card hydration, and daypart variance, helping operations schedule runs when feeds are most representative. Normalization is built in—company names, domains, locations, categories—so exports land closer to CRM truth on arrival. Governance is non-negotiable: domain/path allow-lists, fair-use pacing, environment isolation, and immutable audit logs with POP identifiers and timestamps. The outcome is a calm, reproducible mesh that turns permitted public pages into consistent, CRM-friendly inputs without antagonizing platforms or risking compliance.

Edge behavior determines whether your lists are usable or noisy. GSocks preserves query parameters and UI state for company size, industry, geography, and seniority filters, ensuring that what your SDRs request is exactly what your collectors see. Session persistence anchors log-free preference flows and multi-page listings so cursor tokens, sort orders, and “open hours/ratings” widgets stabilize before capture. Where contact or inquiry forms are within scope, rotation policies become “form-safe”: sticky affinity during the sequence, minimal header drift, bounded retries, and humane pacing—no parallel submissions, no CAPTCHA games, no spoofing. Diagnostics expose where time goes (DNS, TLS, hydration), why runs fail (layout shifts, module timeouts), and where duplication creeps in (cursor reuse, infinite scroll rebounds). We emit structured objects—company profile blocks, category tags, location tuples, role/title snippets, public website/domain links—leaving out fields that would imply inference of private identifiers. With these controls, your enrichment stays clean, defensible, and ready to align with do-not-call/do-not-email regimes and internal privacy standards.

With transport stability and filter fidelity, lead-gen shifts from “scrape and hope” to repeatable revenue operations. Account-based lists assemble permitted public business attributes—industry, headcount band, region, technology signals implied by job listings or product pages—so marketing can stage campaigns that match TAM and pipeline goals. CRM enrichment fills structural gaps: legal names vs trade names, multi-site hierarchies, opening hours, ratings/review counts, and public web properties, all normalized to your taxonomy and stamped with provenance. Territory planning benefits from store/office density maps, review velocity, and category mix, highlighting high-potential clusters and partner overlaps. Because GSocks preserves locale, device cues, and session context, snapshots reflect what real prospects would see rather than thin abstractions, enabling cleaner A/B tests for messaging and landing pages. Outputs arrive as CSV/JSON with company keys, category arrays, region granularity, and confidence scores, accompanied by optional screenshots and hashes for audit. Alerts trigger on meaningful shifts—rebrands, new locations, category changes—so sales and partners teams act before the quarter closes.

Evaluate providers on outcomes your GTM and legal teams can defend. Data freshness needs telemetry, not claims: last-seen stamps, change rates by source, and p95 time-to-refresh at your target cadence. Concurrency must be explicit—per-project ceilings, windowed schedules, pause/resume—and success counted on fully rendered listing/profile modules at realistic depth, not just HTTP 200s. Demand breakdowns for retry causes, duplicate suppression rates, and effective cost per 1,000 successful captures so finance can forecast. Compliance support is table stakes: domain/path allow-lists, SIEM-exportable audit trails, role separation, mTLS/IP allow-lists, and written acceptable-use terms aligned to platform policies and privacy law; refuse vendors that offer email guessing, credential harvesting, or bypass tools. Engineering speed depends on stable schemas (company blocks, categories, locations) and SDK hooks for cursor reuse, idempotent job IDs, and de-dup logic that respects your CRM keys. GSocks ships with these controls and prices against successful, rendered outcomes—run a short pilot, validate lift in list quality and refresh timeliness, then scale knowing your cost per insight is predictable and your program is defensible.