competitor-post-engagers
Find leads by scraping engagers from a competitor's top LinkedIn posts. Given one or more company page URLs, scrapes recent posts, ranks by engagement, selects the top N, extracts all reactors and commenters, ICP-classifies, and exports CSV. Use when someone wants to "find leads engaging with competitor content" or "scrape people who interact with [company]'s LinkedIn posts".
npx skills add gooseworks-ai/goose-skills --skill competitor-post-engagers --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Competitor Post Engagers Find ICP-fit leads by scraping engagers from a competitor's top-performing LinkedIn posts. Given one or more company page URLs, this skill finds their highest-engagement recent posts, extracts everyone who reacted or commented, and classifies by ICP fit. **Core principle:** Scrape all posts in one call per company, then locally rank and select the top N. This minimizes Apify costs while maximizing lead quality. ## Phase 0: Intake Ask the user these questions: ### Target Companies 1. LinkedIn company page URL(s) to scrape (e.g., `https://www.linkedin.com/company/11x-ai/`) 2. Time window — how many days back to look (default: 30) 3. Top N posts per company to extract engagers from (default: 1) ### ICP Criteria 4. ICP keywords — job title/role terms that indicate a good lead (e.g., "sales", "SDR", "revenue") 5. Exclude keywords — roles to filter out (e.g., "software engineer", "designer") 6. Geographic focus (optional, e.g., "United States") Save config in the current working directory (or user-specified path): ```bash competitor-post-engagers-config.json ``` Config JSON structure: ```json { "name": "<run-name>", "company_urls": ["https://www.linkedin.com/co
- Phase 0: Intake
- Target Companies
- ICP Criteria
- Phase 1: Run the Pipeline
- Pipeline Steps
- Cost Estimates
- Phase 2: Review & Refine
- Phase 3: Output
- Tools Required
- Example Usage
competitor-post-engagers-config.json python3 skills/competitor-post-engagers/scripts/competitor_post_engagers.py \
What does the competitor-post-engagers skill do?
Find leads by scraping engagers from a competitor's top LinkedIn posts. Given one or more company page URLs, scrapes recent posts, ranks by engagement, selects the top N, extracts all reactors and commenters, ICP-classifies, and exports CSV. Use when someone wants to "find leads engaging with competitor content" or "scrape people who interact with [company]'s LinkedIn posts".
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill competitor-post-engagers --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From gooseworks-ai/goose-skills, a repository with 1,091 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.