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extract-company-info

Extract company data from Korean hiring platforms into markdown summaries.

Updated Aug 23, 2026
Search Tags:#data-extraction#remember#chrome-mcp#company-intel#wanted#saramin#thevc
One-click install
npx skills add https://github.com/teslamint/resume-builder --skill extract-company-info
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: extract-company-info
Source: https://github.com/teslamint/resume-builder/tree/main/.claude/skills/extract-company-info
Command: npx skills add https://github.com/teslamint/resume-builder --skill extract-company-info

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill removes the manual effort of visiting Wanted, Remember, Saramin, and TheVC to collect company descriptions, salary ranges, headcount, welfare, and investment data so recruiters and JD screeners get a single trusted summary.

Core Features & Use Cases

  • Multi-platform search orchestration: Chrome MCP-driven navigation handles keyword searches, direct URLs, and multi-URL batches across Wanted, Remember, Saramin, and TheVC to build consolidated source lists.
  • Holistic data extraction: Prioritizes salary insight (Remember > Wanted > Saramin), harvests headcount, revenue, welfare, investment history, and risk flags, and merges them into markdown tables with unified citations.
  • Validation and storage: Saves profiles to private/company_info/{slug}.md, runs templates/jd/company_validator.py with --fix or --json for schema compliance, and follows error guidance for missing pages, access limits, and data gaps so JD screening workflows stay reliable.

Quick Start

Ask for company intelligence by naming the target or providing Wanted, Remember, Saramin, or TheVC URLs.

Frequently Asked Questions about extract-company-info

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

FAQPage Schema
How do I aggregate company information from Korean hiring platforms like Wanted and Saramin?▼

Aggregating company information from Wanted, Remember, Saramin, and TheVC is done by supplying company names or platform URLs to orchestrate Chrome MCP tab navigation, parse salary and headcount data, and merge results into a markdown summary.

Can I extract salary ranges and investment history from multiple job board URLs at once?▼

Yes, you can extract salary ranges and investment history by providing multi-URL batches from Wanted, Remember, Saramin, or TheVC to enable multi-source parsing that prioritizes Remember salary data and merges it with TheVC investment records.

What is the best way to consolidate company intelligence for JD screening without manual browsing?▼

The best way to consolidate company intelligence for JD screening is using Chrome MCP-driven navigation to harvest welfare, revenue, and risk flag data across four Korean platforms, outputting a validated markdown profile with unified citations.

Does this company data extraction approach handle access limits and missing pages on Remember or TheVC?▼

Yes, the extraction approach handles access limits and missing pages by following built-in error guidance for data gaps, ensuring JD screening workflows remain reliable even when specific Remember or TheVC pages are unavailable.

How do I validate extracted company profiles for schema compliance?▼

You validate extracted company profiles for schema compliance by running the company_validator.py script with --fix or --json flags, checking saved markdown files against required templates before integration.

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