LinkedInDumper
Python 3 script to dump/scrape/extract company employees from LinkedIn API
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add l4rm4nd/LinkedInDumper
Maintenance
active
2mo since push
Risk
Needs review
License is unclear
GitHub quality
598
74/100 quality · 78/100 trust
Coverage tags
Review notes
License is unclear · Quality score needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v3
Human review before install
Test in a sandbox workflow and compare its install path with close alternatives.
Stars
598 GitHub stars
Repo activity
598 stars, 57 forks
Maintenance
2mo since push
License
Unknown
Install
npx skills add l4rm4nd/LinkedInDumper
Install safety
standard package or runtime install path
Permission surface
filesystem or document access, network or browser access
Docs
Usable metadata, review docs
Risk summary
Review before production
- License is unclear
- Quality score needs review
- License clarity: Unknown
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is unclear
- 2mo since push
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Web scraping workflows
- Claude Code teams
- teams that value GitHub adoption signals
- Crawl target URLs
- Extract tables and metadata
Suited agents
Trust and risk
- Trust score
- 78/100
- Risk level
- Needs review
- Auto install
- review
Do not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No OpenAgentSkill engagement data yet
- License is unclear
- Quality score needs review
Agent safety v2
64/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- License is unclear
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add l4rm4nd/LinkedInDumperAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20LinkedInDumper%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20LinkedInDumper%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/l4rm4nd-linkedindumper/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use LinkedInDumper in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20LinkedInDumper%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/l4rm4nd-linkedindumper/install
Install command: npx skills add l4rm4nd/LinkedInDumper
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/l4rm4nd-linkedindumper/install
LLM text format
/api/skills/l4rm4nd-linkedindumper/install?format=text
Find alternatives
/api/skills/search?q=LinkedInDumper&limit=3
Agent prompt
Use LinkedInDumper for this task. Review https://www.openagentskill.com/api/skills/l4rm4nd-linkedindumper/install, then install with: npx skills add l4rm4nd/LinkedInDumperRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/l4rm4nd-linkedindumper
LLM text
/api/registry/manifest/l4rm4nd-linkedindumper?format=text
Install alias
/api/registry/install/l4rm4nd-linkedindumper
Recommend
/api/registry/recommend?task=Use%20LinkedInDumper%20in%20an%20agent%20workflow&limit=3
Agent fit
Web scraping
Use-case tags
Platforms
Python, OSINT, Claude Code
Audit report
Needs review · 80/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Primary pick for Web scraping
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Web scraping
Trust label
Production-ready
Install path
Command ready
Use when
- Web scraping workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 598 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 74/100 quality profile
Review first
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Web scraping task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Strong shortlist
Good trust signals with a few areas worth checking before rollout.
GitHub adoption
INFO598 GitHub stars
Stars/forks activity
INFO598 stars, 57 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2mo since push
License clarity
CHECKUnknown
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Meaningful GitHub adoption signal
- Install command has no obvious high-risk pattern
Review before install
- License is unclear
- Quality score needs review
- License clarity: Unknown
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Collect structured data
Web scraping
I need my agent to scrape websites and extract structured data from pages.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Stack fit
Add it to a complete workflow
Scrape, clean, and reuse web data
Web data pipeline
A practical stack for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
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Overview
Python 3 script to dump/scrape/extract company employees from LinkedIn API
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- Unknown
- Last Updated
- 6/16/2026
- Published
- 6/16/2026
Frameworks & Tools
Decision snapshot
Primary pick
598 GitHub stars
Audit Snapshot
Install and adoption review
- Security
- 79/100
- Maintenance
- 88/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for LinkedInDumper, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: LinkedInDumper Use it when you need an agent to browse, extract, or monitor web pages without building a scraper from scratch. 598 stars - security Link: https://www.openagentskill.com/skills/l4rm4nd-linkedindumper?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for LinkedInDumper: https://www.openagentskill.com/skills/l4rm4nd-linkedindumper?ref=x Install: npx skills add l4rm4nd/LinkedInDumper
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- l4rm4nd
- Source
- l4rm4nd/LinkedInDumper
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This community indexed listing is attributed to l4rm4nd but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/l4rm4nd-linkedindumper)Author
l4rm4nd
@l4rm4nd
Platform Fit
Health Signals
- GitHub stars
- 598
- Quality score
- 50/100
- Last GitHub push
- Apr 18, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Strong shortlist
- GitHub adoption598 GitHub starsINFO
- Stars/forks activity598 stars, 57 forks; issue activity unavailable in current metadataINFO
- Recent maintenance2mo since pushPASS
- License clarityUnknownCHECK
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime risknetwork or browser surfacePASS
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