LinkedIn holds the most accurate professional data on the web. Every B2B SDR knows it. The problem is extraction — most tools hammer the platform directly and get accounts flagged or banned within days.
The right approach works with public data through compliant methods, operates within rate limits, and focuses on enriching the contacts you already have rather than bulk-scraping blind.
What data is actually useful
Before running any source, define your ICP precisely: - Job title (not just "marketing" — be specific: "Head of Growth", "VP Demand Gen") - Company size range (headcount, not revenue — it's more consistent) - Industry vertical - Geography
Broad searches return volume. Narrow searches return quality. For cold outreach, quality wins every time.
Using LinkedIn Comments for warm leads
The most underused source on VoxScrape is LinkedIn Comments. When a prospect comments on a post about a pain point you solve, they've self-identified. Pull commenters from posts by: - Industry thought leaders your ICP follows - Competitor content - Posts about problems your product solves
These leads already have context. Your open rate will be 2–3x higher than cold list outreach.
The enrichment loop
Raw contact data is rarely enough. After pulling LinkedIn profiles, run AI Lead Scoring to rank each contact against your ICP criteria. Deprioritize anyone below a 6. Use Message Writer on the top 20% to generate personalised first lines.
The whole workflow — source → enrich → score → message — takes under 30 minutes and costs roughly 150 credits for 100 leads.
Credit math
At Scout plan (1,000 credits/mo): - LinkedIn Profiles: 30 credits/result → ~33 profiles - LinkedIn Comments: 15 credits/result → ~66 profiles - AI Lead Scoring: 2 credits/result → run on all of them
At Starter plan (10,000 credits/mo), you can run the full loop multiple times per week.