Apify Audience Analysis
sickn33/agentic-awesome-skills
Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
Fetch YouTube transcripts via APIFY API. An agent skill from gooseworks-ai/goose-skills.
$ npx skills add gooseworks-ai/goose-skills --skill youtube-apify-transcript -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills youtube-apify-transcript --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/research-tools/capabilities/youtube-apify-transcript .claude/skills/youtube-apify-transcript && 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 "youtube-apify-transcript" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/youtube-apify-transcript into .claude/skills/youtube-apify-transcript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-apify-transcript", 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/research-tools/capabilities/youtube-apify-transcriptType 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 youtube-apify-transcript -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills youtube-apify-transcript --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/research-tools/capabilities/youtube-apify-transcript .agents/skills/youtube-apify-transcript && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "youtube-apify-transcript" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/youtube-apify-transcript into .agents/skills/youtube-apify-transcript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-apify-transcript", 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 youtube-apify-transcript -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills youtube-apify-transcript --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/research-tools/capabilities/youtube-apify-transcript .cursor/skills/youtube-apify-transcript && 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 "youtube-apify-transcript" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/youtube-apify-transcript into .cursor/skills/youtube-apify-transcript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-apify-transcript", 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/research-tools/capabilities/youtube-apify-transcript--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 youtube-apify-transcript -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills youtube-apify-transcript --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/research-tools/capabilities/youtube-apify-transcript .gemini/skills/youtube-apify-transcript && 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 "youtube-apify-transcript" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/youtube-apify-transcript into .gemini/skills/youtube-apify-transcript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-apify-transcript", 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 youtube-apify-transcriptInstalls 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 youtube-apify-transcript -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/research-tools/capabilities/youtube-apify-transcript .github/skills/youtube-apify-transcript && 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 "youtube-apify-transcript" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/youtube-apify-transcript into .github/skills/youtube-apify-transcript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-apify-transcript", 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 youtube-apify-transcript -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 youtube-apify-transcript --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/research-tools/capabilities/youtube-apify-transcript .opencode/skills/youtube-apify-transcript && 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 "youtube-apify-transcript" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/research-tools/capabilities/youtube-apify-transcript into .opencode/skills/youtube-apify-transcript/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "youtube-apify-transcript", 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.
youtube-apify-transcriptFetch YouTube transcripts via APIFY API. An agent skill from gooseworks-ai/goose-skills.
Youtube Apify Transcript is an agent skill from gooseworks-ai/goose-skills. Fetch YouTube transcripts via APIFY API. Works from cloud IPs (Hetzner, AWS, etc.) by bypassing YouTube's bot detection. Free tier includes $5/month credits (~714 videos). No credit card required.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `CHANGELOG.md`, `README.md` and `package.json`).
It sits in Data & Analytics, covering Web scraping and Video and podcast notes. It works with Apify, YouTube and Amazon Web Services. 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.
3 steps, taken from the first numbered list in SKILL.md.
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:
python3From 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:
youtube.comyoutu.beAlso links to:
console.apify.comapify.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.
Youtube Apify Transcript loads about 1k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 199 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 noted patterns worth knowing about, such as sudo or a known installer.
# Or use .env file (never commit this!)_API_TOKEN=apify_api_YOUR_TOKEN_HERE' >> .envAutomated 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). 199 words, ~1,041 tokens.
.claude/skills/youtube-apify-transcript/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.Fetch YouTube transcripts via APIFY API (works from cloud IPs, bypasses YouTube bot detection).
YouTube blocks transcript requests from cloud IPs (AWS, GCP, etc.). APIFY runs the request through residential proxies, bypassing bot detection reliably.
# Add to ~/.bashrc or ~/.zshrc
export APIFY_API_TOKEN="apify_api_YOUR_TOKEN_HERE"
# Or use .env file (never commit this!)
echo 'APIFY_API_TOKEN=apify_api_YOUR_TOKEN_HERE' >> .env# Get transcript as text (uses cache by default)
python3 scripts/fetch_transcript.py "https://www.youtube.com/watch?v=VIDEO_ID"
# Short URL also works
python3 scripts/fetch_transcript.py "https://youtu.be/VIDEO_ID"# Output to file
python3 scripts/fetch_transcript.py "URL" --output transcript.txt
# JSON format (includes timestamps)
python3 scripts/fetch_transcript.py "URL" --json
# Both: JSON to file
python3 scripts/fetch_transcript.py "URL" --json --output transcript.json
# Specify language preference
python3 scripts/fetch_transcript.py "URL" --lang deTranscripts are cached locally by default. Repeat requests for the same video cost $0.
# First request: fetches from APIFY ($0.007)
python3 scripts/fetch_transcript.py "URL"
# Second request: uses cache (FREE!)
python3 scripts/fetch_transcript.py "URL"
# Output: [cached] Transcript for: VIDEO_ID
# Bypass cache (force fresh fetch)
python3 scripts/fetch_transcript.py "URL" --no-cache
# View cache stats
python3 scripts/fetch_transcript.py --cache-stats
# Clear all cached transcripts
python3 scripts/fetch_transcript.py --clear-cacheCache location: .cache/ in skill directory (override with YT_TRANSCRIPT_CACHE_DIR env var)
Process multiple videos at once:
# Create a file with URLs (one per line)
cat > urls.txt << EOF
https://youtube.com/watch?v=VIDEO1
https://youtu.be/VIDEO2
https://youtube.com/watch?v=VIDEO3
EOF
# Process all URLs
python3 scripts/fetch_transcript.py --batch urls.txt
# Batch with JSON output to file
python3 scripts/fetch_transcript.py --batch urls.txt --json --output all_transcripts.jsonThe script sends the following input to pintostudio/youtube-transcript-scraper:
{
"videoUrl": "https://www.youtube.com/watch?v=VIDEO_ID"
}Output fields:
Each result contains a data array of transcript segments:
| Field | Type | Description |
|---|---|---|
start | number | Segment start time (seconds) |
dur | number | Segment duration (seconds) |
text | string | Transcript text for this segment |
Text (default):
Hello and welcome to this video.
Today we're going to talk about...JSON (--json):
{
"video_id": "dQw4w9WgXcQ",
"title": "Video Title",
"transcript": [
{"start": 0.0, "dur": 2.5, "text": "Hello and welcome"},
{"start": 2.5, "dur": 3.0, "text": "to this video"}
],
"full_text": "Hello and welcome to this video..."
}The script handles common errors:
© 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 5 other files (scripts) in skills/research-tools/capabilities/youtube-apify-transcript 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.
Youtube Apify Transcript 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 |
|---|---|---|---|---|---|---|
| Youtube Apify Transcript this skillgooseworks-ai/goose-skills | 1.2k | 1 repos | ~1k | Automated safety check: Notes | MIT | |
| Apify Audience Analysissickn33/agentic-awesome-skills | 47k | 2 repos | ~1.3k | Automated safety check: Notes | MIT | |
| Apify Content Analyticssickn33/agentic-awesome-skills | 47k | 2 repos | ~1.2k | Automated safety check: Notes | MIT | |
| Apify Trend Analysissickn33/agentic-awesome-skills | 47k | 2 repos | ~1.2k | Automated safety check: Notes | MIT | |
| Apify Competitor IntelligenceaAAaqwq/AGI-Super-Team | 105 | 3 repos | ~1.3k | Automated safety check: Notes | MIT | |
| Apify Creator Emailsapify/awesome-skills | 266 | — | ~3.9k | Automated safety check: Pass | Apache-2.0 |
sickn33/agentic-awesome-skills
Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
sickn33/agentic-awesome-skills
Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.
sickn33/agentic-awesome-skills
Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
aAAaqwq/AGI-Super-Team
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
apify/awesome-skills
Find creators and their published contact emails in one run.
browser-act/skills
This skill helps users automatically extract YouTube video transcripts and metadata in batch via the BrowserAct API.
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…
Works with
Categories
Fetch YouTube transcripts via APIFY API. An agent skill from gooseworks-ai/goose-skills. Youtube Apify Transcript is an agent skill from gooseworks-ai/goose-skills. Fetch YouTube transcripts via APIFY API.
Youtube Apify Transcript fits situations like: tasks that involve Web scraping; tasks that involve Video and podcast notes.
Run `npx skills add gooseworks-ai/goose-skills --skill youtube-apify-transcript -a claude-code`. Or copy the skill folder (skills/research-tools/capabilities/youtube-apify-transcript in gooseworks-ai/goose-skills) into .claude/skills/youtube-apify-transcript in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gooseworks-ai/goose-skills --skill youtube-apify-transcript -a codex`. Or copy the skill folder (skills/research-tools/capabilities/youtube-apify-transcript in gooseworks-ai/goose-skills) into .agents/skills/youtube-apify-transcript 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 youtube-apify-transcript -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/youtube-apify-transcript, .gemini/skills/youtube-apify-transcript, .github/skills/youtube-apify-transcript and .opencode/skills/youtube-apify-transcript in your project.
Going by SKILL.md and its folder, Youtube Apify Transcript needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named APIFY_API_TOKEN. Our summary lists: Python 3; A credential in APIFY_API_TOKEN.
SKILL.md names 4 domains. In commands or code: youtube.com and youtu.be; the agent is likely to contact these when it follows the instructions. As links in the text: console.apify.com and apify.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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.
Youtube Apify Transcript is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4.2k 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 Youtube Apify Transcript: Apify Audience Analysis (sickn33/agentic-awesome-skills, 47k stars), Apify Content Analytics (sickn33/agentic-awesome-skills, 47k stars), Apify Trend Analysis (sickn33/agentic-awesome-skills, 47k stars) and Apify Competitor Intelligence (aAAaqwq/AGI-Super-Team, 105 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.