Linkedin Thread Monitor
sergebulaev/linkedin-skills
Track which of your LinkedIn comments earned author replies.
Scrape recent posts from LinkedIn profiles using Apify. An agent skill from gooseworks-ai/goose-skills.
$ npx skills add gooseworks-ai/goose-skills --skill linkedin-profile-post-scraper -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills linkedin-profile-post-scraper --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "linkedin-profile-post-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-profile-post-scraper into .claude/skills/linkedin-profile-post-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-post-scraper", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-profile-post-scraperType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add gooseworks-ai/goose-skills --skill linkedin-profile-post-scraper -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills linkedin-profile-post-scraper --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/social/capabilities/linkedin-profile-post-scraper .agents/skills/linkedin-profile-post-scraper && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "linkedin-profile-post-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-profile-post-scraper into .agents/skills/linkedin-profile-post-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-post-scraper", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill linkedin-profile-post-scraper -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills linkedin-profile-post-scraper --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/social/capabilities/linkedin-profile-post-scraper .cursor/skills/linkedin-profile-post-scraper && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "linkedin-profile-post-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-profile-post-scraper into .cursor/skills/linkedin-profile-post-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-post-scraper", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/gooseworks-ai/goose-skills.git --path skills/social/capabilities/linkedin-profile-post-scraper--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add gooseworks-ai/goose-skills --skill linkedin-profile-post-scraper -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills linkedin-profile-post-scraper --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/social/capabilities/linkedin-profile-post-scraper .gemini/skills/linkedin-profile-post-scraper && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "linkedin-profile-post-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-profile-post-scraper into .gemini/skills/linkedin-profile-post-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-post-scraper", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install gooseworks-ai/goose-skills linkedin-profile-post-scraperInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add gooseworks-ai/goose-skills --skill linkedin-profile-post-scraper -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/social/capabilities/linkedin-profile-post-scraper .github/skills/linkedin-profile-post-scraper && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "linkedin-profile-post-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-profile-post-scraper into .github/skills/linkedin-profile-post-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-post-scraper", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add gooseworks-ai/goose-skills --skill linkedin-profile-post-scraper -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills linkedin-profile-post-scraper --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/social/capabilities/linkedin-profile-post-scraper .opencode/skills/linkedin-profile-post-scraper && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "linkedin-profile-post-scraper" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/social/capabilities/linkedin-profile-post-scraper into .opencode/skills/linkedin-profile-post-scraper/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "linkedin-profile-post-scraper", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
linkedin-profile-post-scraperScrape 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. 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.
Read from SKILL.md and the folder at commit c650c6d. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
linkedin.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
APIFY_API_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from gooseworks-ai/goose-skills at commit c650c6d, republished under its MIT licence (© gooseworks-ai). 126 words, ~495 tokens.
.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.Scrape recent posts from specific LinkedIn profiles using the Apify harvestapi/linkedin-profile-posts actor.
Requires APIFY_API_TOKEN env var (or --token flag). Install dependency: pip install requests.
# 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| Flag | Default | Description |
|---|---|---|
--profiles | required | LinkedIn profile URL(s), comma-separated |
--max-posts | 20 | Max posts to scrape per profile |
--keywords | none | Keywords to filter (comma-separated, OR logic) |
--days | 30 | Only include posts from last N days |
--output | json | Output format: json or summary |
--token | env var | Apify token (prefer APIFY_API_TOKEN env var) |
--timeout | 300 | Max seconds to wait for the Apify run |
~$2 per 1,000 posts scraped. The script prints a cost estimate before running.
postedAt/postedDatehttps://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
SKILL.md and 2 other files (scripts) in skills/social/capabilities/linkedin-profile-post-scraper of gooseworks-ai/goose-skills.
Open the folder on GitHubat commit c650c6d
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.
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Linkedin Profile Post Scraper this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~495 | Automated safety check: Pass | MIT | |
| Linkedin Thread Monitorsergebulaev/linkedin-skills | 4.4k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Apify Google Maps Leadsapify/awesome-skills | 266 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Apify Job Boardsapify/awesome-skills | 266 | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | |
| Coffee ChatLeoYeAI/openclaw-master-skills | 2.2k | — | ~6.6k | Automated safety check: Pass | MIT | |
| Apify Jobs Dataapify/awesome-skills | 266 | — | ~5.5k | Automated safety check: Pass | Apache-2.0 |
sergebulaev/linkedin-skills
Track which of your LinkedIn comments earned author replies.
apify/awesome-skills
Build a local-business lead database from Google Maps in one Apify pipeline: search by target audience + geography, enrich each place with company contacts from its website, leads enrichment (names…
apify/awesome-skills
Pull job postings from many boards in one run and prepare one validated, deduplicated table.
LeoYeAI/openclaw-master-skills
Generate a personalized coffee chat playbook for networking conversations.
apify/awesome-skills
Extract clean, de-noised job-posting data from LinkedIn, Indeed, Glassdoor, and 20+ boards in one Apify run — deduplicated across boards, with likely ghost jobs and reposts flagged (heuristic, not…
apify/agent-skills
Scrapes public data from social, maps, search and review platforms by choosing from about a hundred Apify Actors and running them through the Apify CLI.
gooseworks-ai/goose-skills
Scrape and search Reddit posts using Apify. An agent skill from gooseworks-ai/goose-skills.
gooseworks-ai/goose-skills
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
gooseworks-ai/goose-skills
Replace an existing video's opening with a supplied clip or free kinetic text hook while retaining and verifying every original body frame, audio, captions and ending.
gooseworks-ai/goose-skills
Scrape blog posts via RSS feeds (free, no API key) with Apify fallback for JS-heavy sites.
gooseworks-ai/goose-skills
Find leads by scraping engagers from a competitor's top LinkedIn posts.
gooseworks-ai/goose-skills
Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard…
Categories
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.