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BytesAgain β€Ί Skills β€Ί B2B Lead Generation Scraper
πŸ¦€ ClawHub

B2B Lead Generation Scraper

by @neo1307

Extracts verified B2B leads (name, email, company, LinkedIn, job title) from target sources and exports them as CRM-ready CSV files.

Versionv1.0.2
Downloads1,045
#clawhub
TERMINAL
clawhub install argus-lead-scraper

πŸ“– About This Skill

name: B2B Lead Generation Scraper description: Extracts verified B2B leads (name, email, company, LinkedIn, job title) from target sources and exports them as CRM-ready CSV files. version: 1.0.2 tags: [python, scraping, lead-generation, b2b, linkedin, csv, crm, automation] author: neo1307 requires: [python3, selenium, webdriver-manager, pandas, requests, chromium]

B2B Lead Generation Scraper

Overview

Automated lead extraction tool that collects verified B2B contact data from target sources and delivers clean, CRM-ready CSV files. Delivers 500-2,000+ leads per run depending on target criteria.

What It Does

  • Extracts: Full name, job title, company name, LinkedIn URL, email (when available)
  • Filters by: industry, job title keywords, company size, location
  • Deduplicates records automatically
  • Outputs clean CSV ready for HubSpot, Salesforce, Pipedrive import
  • Validates and removes junk/incomplete rows before delivery

    • Required Environment Variables

    Set these in OpenClaw's Secrets manager before running:

    | Variable | Description | |----------|-------------| | LI_SESSION | LinkedIn session cookie (li_at value from your browser) |

    Setup

    1. Log into LinkedIn in your browser, copy the li_at cookie value 2. Set LI_SESSION in OpenClaw Secrets 3. Define target criteria in OpenClaw chat (industry, job title, location, company size) 4. Chromium must be available on the host for Selenium headless mode

    Usage

    > "Find 500 B2B leads: SaaS CEOs in the United States" > "Scrape marketing directors at companies with 50-200 employees in London" > "Generate a lead list of HR managers in healthcare companies" > "Export leads to CSV formatted for HubSpot import"

    Output

  • leads_YYYY-MM-DD_[criteria].csv with columns:
    • - first_name, last_name, full_name, job_title, company, linkedin_url, email, location
  • Summary: total found, duplicates removed, validation pass rate

    • Rules

  • Never scrape more than 200 profiles per hour to avoid detection
  • Always deduplicate by LinkedIn URL before saving
  • Mark rows with missing email as email_status: not_found β€” do not fabricate
  • Save raw data before cleaning in data/raw/
  • Output CSV must be UTF-8 encoded for CRM compatibility

    • πŸ’‘ Examples

    > "Find 500 B2B leads: SaaS CEOs in the United States" > "Scrape marketing directors at companies with 50-200 employees in London" > "Generate a lead list of HR managers in healthcare companies" > "Export leads to CSV formatted for HubSpot import"

    βš™οΈ Configuration

    1. Log into LinkedIn in your browser, copy the li_at cookie value 2. Set LI_SESSION in OpenClaw Secrets 3. Define target criteria in OpenClaw chat (industry, job title, location, company size) 4. Chromium must be available on the host for Selenium headless mode

    πŸ”’ Constraints

  • Never scrape more than 200 profiles per hour to avoid detection
  • Always deduplicate by LinkedIn URL before saving
  • Mark rows with missing email as email_status: not_found β€” do not fabricate
  • Save raw data before cleaning in data/raw/
  • Output CSV must be UTF-8 encoded for CRM compatibility