LeadsLogix
Pricing
Decision Maker Discovery

Find the people who make decisions

4-method extraction: JSON-LD -> Team Cards -> Heuristic -> LinkedIn

Most scrapers extract every name on a page -- including navigation text, footer links, and testimonials. LeadsLogix uses four progressively deeper extraction methods with name validation and title classification to find actual decision makers, not page noise.

4
Extraction Methods
35+
Page Paths
14
Junk Removal Rules
95%
Precision Rate
LeadsLogix Dashboard
Live
+12%
24,847
Leads
+8%
18,293
Verified
+15%
6,142
Companies
+22%
$2.8M
Pipeline
Pipeline78%
Discover
Crawl
Extract
Verify
Score

Why Contact Extraction Fails

Simple regex extracts every name-like string -- including menu items, testimonials, and footer text
No distinction between decision makers and individual contributors
Team pages have wildly different HTML structures -- no single CSS selector works everywhere
Cross-page contacts (name on /team, email on /contact) never get connected
JavaScript-rendered team pages are invisible to static scrapers
Generic emails (info@, admin@) get mixed in with personal professional addresses

Four Methods, One Unified Profile

Each method handles different page structures. Cross-page context accumulation merges contacts found across multiple pages.

Method 1: JSON-LD

Extract structured data from schema.org Person/Organization markup. Highest confidence -- the website explicitly declares who works there.

Method 2: Team Cards

Detect team card UI patterns (image + name + title + email). CSS class analysis and spatial proximity grouping.

Method 3: Heuristic Proximity

Name-title-email proximity analysis on unstructured pages. Uses position, font size, and visual grouping to associate data.

Method 4: LinkedIn X-Ray

Multi-engine search for company employees when website extraction yields insufficient results.

Cross-Page Context

Accumulate contacts across /team, /about, /contact, /leadership, /people -- 35+ page path patterns. Merge fragments into complete profiles.

Title Classification

Parse titles into seniority levels: C-suite, VP, Director, Manager, Individual Contributor. Filter by decision-maker criteria.

Extraction Pipeline

Each stage processes data sequentially with full checkpoint/resume capability.

01
Step 1

Page Discovery

Find team-related pages across 35+ URL patterns: /team, /about, /people, /leadership, /staff, /our-team, etc.

02
Step 2

JSON-LD Extraction

Parse schema.org Person and Organization markup. Extract name, title, email, phone from structured data.

03
Step 3

Team Card Detection

Identify team card UI patterns using CSS analysis. Group image + name + title + email by spatial proximity.

04
Step 4

Heuristic Analysis

For unstructured pages: analyze text proximity, font sizing, and visual grouping to associate names with titles and emails.

05
Step 5

LinkedIn X-Ray

Search engines for site:linkedin.com/in/ queries with company name. Match results to extracted contacts.

06
Step 6

Cross-Page Merge

Combine contacts found across multiple pages. Match by name similarity and email domain.

07
Step 7

Name Validation

Filter out navigation text, UI elements, placeholder names, and non-person entries.

08
Step 8

14-Rule Cleanup

Apply junk removal rules: remove social handles, generic emails, company-name-as-person, low-confidence entries.

Technical Workflow

# Deep extraction with Playwright (BEST quality, <50 companies)
# Uses the /lead-scraper skill for maximum contact quality

# Enrichment pipeline extraction (scalable)
python -m tools.enrichment.pipeline --input companies.csv

# Standalone contact extraction
python -m tools.contact_extractor --url https://acme.com/team

# Mandatory cleanup after extraction
python tools/cleanup_contacts.py

# Extraction method priority:
# 1. JSON-LD (highest confidence)
# 2. Team card detection
# 3. Heuristic proximity
# 4. LinkedIn X-ray (fallback)

API Access

POST
/api/v1/contacts/extract

Extract decision makers from a company URL. Returns contacts with extraction method attribution.

POST
/api/v1/contacts/batch

Batch extraction for up to 200 company URLs.

GET
/api/v1/contacts/{companyId}

Retrieve all extracted contacts for a company with seniority classification.

POST
/api/v1/contacts/cleanup

Apply 14-rule junk removal to a contact list.

Use Cases

Account-Based Sales

Find decision makers at target accounts before outreach: CEO, CTO, VP Sales, Head of Procurement.

Event Preparation

Extract leadership teams from exhibitor websites before attending trade shows.

Competitive Intelligence

Monitor competitor team pages for leadership changes, new hires, and departures.

M&A Research

Extract complete management teams from acquisition target company websites.

Recruitment

Find hiring managers and department heads at target companies for recruiting outreach.

Investor Research

Extract founder and executive teams from portfolio company and deal flow websites.

Industry Applications

Technology

JavaScript-rendered team pages handled by browser layer and JSON-LD extraction.

Professional Services

Partner/principal directories with structured team card layouts.

Manufacturing

Leadership pages with heuristic extraction for unstructured HTML.

E-Commerce

Vendor contact pages and wholesale buyer team directories.

Performance Metrics

95%
Precision Rate
After 14-rule junk removal eliminates false positives
3,100+
Contacts / 847 Companies
Real-world extraction from trade show exhibitors
4
Extraction Methods
Progressive depth for any website structure
35+
Page Paths
Auto-discovered across team/about/contact URLs
Live Intelligence
Engines Active

Platform Preview

See how LeadsLogix processes, verifies, and delivers your leads in real time.

LeadsLogix Dashboard
Live
+12%
24,847
Leads
+8%
18,293
Verified
+15%
6,142
Companies
+22%
$2.8M
Pipeline
Pipeline78%
Discover
Crawl
Extract
Verify
Score

Contact Cards

Extracted decision makers with name, title, email, phone, LinkedIn, and confidence score.

Pipeline Engine
Live
Active Pipeline2,847 records
Discover
100%
Crawl
100%
Extract
87%
Verify
64%
Score
42%
ETA: 12 min remainingProcessing...

Extraction Method Attribution

See which method found each contact: JSON-LD, team card, heuristic, or LinkedIn.

Email Verification
Live
+95%
1,847
Verified
123
Review
+3%
89%
Tier 1
Verification Results
j.smith@acme.com95TIER_1
m.jones@startup.io82TIER_1
info@example.com45TIER_3
h.wong@enterprise.co88TIER_1

Seniority Distribution

Breakdown of extracted contacts by seniority: C-suite, VP, Director, Manager, IC.

Integrations

Salesforce
HubSpot
Pipedrive
LinkedIn Sales Navigator
REST API
CSV Export
Excel Export

Find decision makers, not page noise

4-method extraction with name validation, title classification, and 14-rule junk removal. Only real contacts in your output.

FAQ

Frequently Asked Questions

Everything you need to know about our platform.

Still have questions?

Our team can walk you through the pipeline, pricing, and your use case.

Talk to us

Related Workflows

Company Enrichment

Product

Full company profile enrichment

/products/company-enrichment

Email Finder

Product

Find emails for extracted contacts

/products/email-finder

LinkedIn Discovery

Product

Find LinkedIn profiles

/products/linkedin-discovery

Contact Validation

Product

Validate extracted contacts

/products/contact-validation
LeadsLogix

AI-native sales intelligence platform. Find, enrich, verify, and activate decision-maker contacts at scale.

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