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lead-intelligence

Gather B2B lead intelligence through parallel web and LinkedIn research.

1|Updated Jun 26, 2026
Search Tags:#web research#B2B#lead research#intelligence gathering#LinkedIn scraping
One-click install
npx skills add https://github.com/BenAIOS/benai-skills-main --skill lead-intelligence-benaios
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lead-intelligence
Source: https://github.com/BenAIOS/benai-skills-main/tree/main/plugins/sales/skills/lead-intelligence
Command: npx skills add https://github.com/BenAIOS/benai-skills-main --skill lead-intelligence-benaios

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Apify, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Lead intelligence for B2B companies, simplifying the process of researching and understanding qualified leads by integrating web and LinkedIn research.

Core Features & Use Cases

  • Layered Lead Intelligence: Combines general lead intelligence via web research with LinkedIn lead intelligence using Apify actors for scraping profiles and posts.
  • LinkedIn Integration: Scrapes LinkedIn profiles and recent posts for a more in-depth view of potential leads.
  • Efficiency & Automation: Runs two layers of research in parallel, saving time and resources in lead research.
  • Use Case: Gather comprehensive information on B2B leads with just one trigger, making it an invaluable asset for sales teams focusing on high-quality leads.

Quick Start

Provide the command "Research leads" and provide a list of qualified leads.

Frequently Asked Questions about lead-intelligence

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I gather B2B lead intelligence through web research and LinkedIn scraping?▼

You can gather B2B lead intelligence by running parallel web research and LinkedIn profile scraping. This Skill combines general web data with LinkedIn insights to provide comprehensive information on qualified prospects.

Do I need Apify to scrape LinkedIn profiles for B2B lead research?▼

Yes, Apify is required for LinkedIn lead intelligence. The Skill integrates Apify actors to scrape LinkedIn profiles and recent posts, combining that data with general web research in two parallel layers.

What is the best way to automate B2B lead research for qualified prospects?▼

The best way to automate B2B lead research is triggering parallel intelligence layers. Provide a list of qualified leads and a command like "Research leads" to scrape web and LinkedIn data simultaneously.

Can I scrape LinkedIn posts and profiles in parallel with general web research?▼

Yes, you can scrape LinkedIn posts and profiles in parallel with general web research. The Skill operates with two distinct research layers, integrating Apify for LinkedIn data while simultaneously gathering general intelligence.

How does layered lead intelligence work for B2B sales teams?▼

Layered lead intelligence works by running two distinct research layers simultaneously. It combines general web research on prospects with LinkedIn profile and post scraping, giving sales teams a comprehensive view of high-quality leads.

What limitations should I expect when scraping LinkedIn for B2B lead intelligence?▼

LinkedIn scraping limitations depend on Apify actor constraints. Since the Skill relies on Apify for LinkedIn profile and post data, any restrictions or rate limits within your Apify setup will directly impact research throughput.

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