Agent skill

Linkedin Profile Post Scraper

by gooseworks-ai in gooseworks-ai/goose-skills

Scrape recent posts from LinkedIn profiles using Apify. An agent skill from gooseworks-ai/goose-skills.

MITAuto-check passedData & Analytics

Install Linkedin Profile Post Scraper

skills CLI
$ npx skills add gooseworks-ai/goose-skills --skill linkedin-profile-post-scraper -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gooseworks-ai/goose-skills linkedin-profile-post-scraper --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/social/capabilities/linkedin-profile-post-scraper .claude/skills/linkedin-profile-post-scraper && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
linkedin-profile-post-scraper
GitHub stars
1.2k
Used in
1 other repo
Token cost
~495 tokens
SKILL.md length
126 words
Files
3 (incl. scripts)
Skills in repo
273
Repo updated
First seen
Licence
MIT

At a glance

Scrape recent posts from LinkedIn profiles using Apify. An agent skill from gooseworks-ai/goose-skills.

  • You need to monitor what specific people are posting on LinkedIn
  • SKILL.md covers Quick Start, CLI Reference, Cost and Notes
  • Runs Python scripts from its folder; calls python3 and pip; reaches linkedin.com; needs APIFY_API_TOKEN
  • Track founder/exec activity

What it does

Linkedin Profile Post Scraper is an agent skill from gooseworks-ai/goose-skills. Scrape recent posts from LinkedIn profiles using Apify. Use when you need to monitor what specific people are posting on LinkedIn, track founder/exec activity, or gather LinkedIn content for competitive intelligence.

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/scrape_linkedin_posts.py` and `skill.meta.json`).

It sits in Data & Analytics, covering Web scraping and Resume and CV writing. It works with Apify and LinkedIn. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.

When your agent uses it

  • You need to monitor what specific people are posting on LinkedIn
  • Track founder/exec activity
  • Gather LinkedIn content for competitive intelligence

Example prompts

  • “/linkedin-profile-post-scraper”

Requirements

  • Python 3
  • A credential in APIFY_API_TOKEN

What it can do on your machine

Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • linkedin.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • APIFY_API_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Linkedin Profile Post Scraper loads about 495 tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 126 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~495

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 126 words, ~495 tokens.

Download SKILL.mdSave it as .claude/skills/linkedin-profile-post-scraper/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
linkedin-profile-post-scraper
description
Scrape recent posts from LinkedIn profiles using Apify. Use when you need to monitor what specific people are posting on LinkedIn, track founder/exec activity, or gather LinkedIn content for competitive intelligence.

LinkedIn Profile Post Scraper

Scrape recent posts from specific LinkedIn profiles using the Apify harvestapi/linkedin-profile-posts actor.

Quick Start

Requires APIFY_API_TOKEN env var (or --token flag). Install dependency: pip install requests.

bash
# Scrape recent posts from a profile
python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \
  --profiles "https://www.linkedin.com/in/marcelsantilli" --max-posts 10

# Multiple profiles with keyword filtering
python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \
  --profiles "https://www.linkedin.com/in/person1,https://www.linkedin.com/in/person2" \
  --keywords "AI,growth" --days 30

# Summary table
python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \
  --profiles "https://www.linkedin.com/in/marcelsantilli" --output summary

CLI Reference

FlagDefaultDescription
--profilesrequiredLinkedIn profile URL(s), comma-separated
--max-posts20Max posts to scrape per profile
--keywordsnoneKeywords to filter (comma-separated, OR logic)
--days30Only include posts from last N days
--outputjsonOutput format: json or summary
--tokenenv varApify token (prefer APIFY_API_TOKEN env var)
--timeout300Max seconds to wait for the Apify run

Cost

~$2 per 1,000 posts scraped. The script prints a cost estimate before running.

Notes

  • No native date filtering — dates are filtered client-side on postedAt/postedDate
  • Profile URLs must be full LinkedIn URLs (e.g. https://www.linkedin.com/in/username)

© gooseworks-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/social/capabilities/linkedin-profile-post-scraper of gooseworks-ai/goose-skills.

  • SKILL.md
  • scripts/scrape_linkedin_posts.py
  • skill.meta.json

Open the folder on GitHubat commit c650c6d

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gooseworks-ai/goose-skills, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Linkedin Profile Post Scraper next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Linkedin Profile Post Scraper compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Linkedin Profile Post Scraper this skillgooseworks-ai/goose-skills1.2k1 repos~495Automated safety check: PassMIT
Linkedin Thread Monitorsergebulaev/linkedin-skills4.4k1 repos~1.4kAutomated safety check: PassMIT
Apify Google Maps Leadsapify/awesome-skills266—~3.8kAutomated safety check: PassApache-2.0
Apify Job Boardsapify/awesome-skills266—~3.5kAutomated safety check: PassApache-2.0
Coffee ChatLeoYeAI/openclaw-master-skills2.2k—~6.6kAutomated safety check: PassMIT
Apify Jobs Dataapify/awesome-skills266—~5.5kAutomated safety check: PassApache-2.0

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Works with

Questions about Linkedin Profile Post Scraper

What does Linkedin Profile Post Scraper do?

Scrape recent posts from LinkedIn profiles using Apify. An agent skill from gooseworks-ai/goose-skills. Linkedin Profile Post Scraper is an agent skill from gooseworks-ai/goose-skills. Scrape recent posts from LinkedIn profiles using Apify.

When should I use Linkedin Profile Post Scraper?

Linkedin Profile Post Scraper fits situations like: you need to monitor what specific people are posting on LinkedIn; track founder/exec activity; gather LinkedIn content for competitive intelligence.

How do I install Linkedin Profile Post Scraper in Claude Code?

Run `npx skills add gooseworks-ai/goose-skills --skill linkedin-profile-post-scraper -a claude-code`. Or copy the skill folder (skills/social/capabilities/linkedin-profile-post-scraper in gooseworks-ai/goose-skills) into .claude/skills/linkedin-profile-post-scraper in your project. Claude Code loads it when a task matches its description.

How do I install Linkedin Profile Post Scraper in Codex?

Run `npx skills add gooseworks-ai/goose-skills --skill linkedin-profile-post-scraper -a codex`. Or copy the skill folder (skills/social/capabilities/linkedin-profile-post-scraper in gooseworks-ai/goose-skills) into .agents/skills/linkedin-profile-post-scraper in your project. Codex loads it when a task matches its description.

Can I use Linkedin Profile Post Scraper in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add gooseworks-ai/goose-skills --skill linkedin-profile-post-scraper -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/linkedin-profile-post-scraper, .gemini/skills/linkedin-profile-post-scraper, .github/skills/linkedin-profile-post-scraper and .opencode/skills/linkedin-profile-post-scraper in your project.

What does Linkedin Profile Post Scraper need to run?

Going by SKILL.md and its folder, Linkedin Profile Post Scraper needs Python for the scripts in its folder, the command-line tools its instructions call (python3 and pip) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.

Does Linkedin Profile Post Scraper access the network?

SKILL.md names 1 domain. In commands or code: linkedin.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Linkedin Profile Post Scraper safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Linkedin Profile Post Scraper use?

Linkedin Profile Post Scraper is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Linkedin Profile Post Scraper use?

About 495 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Linkedin Profile Post Scraper?

Skills that share tags, products or a category with Linkedin Profile Post Scraper: Linkedin Thread Monitor (sergebulaev/linkedin-skills, 4.4k stars), Apify Google Maps Leads (apify/awesome-skills, 266 stars), Apify Job Boards (apify/awesome-skills, 266 stars) and Coffee Chat (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Linkedin Profile Post Scraper?

gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,240 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 8, 2026.

Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.