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TikTok Crawling (yt-dlp)

Use for TikTok crawling, content retrieval, and analysis

skill openclawclawhub Free

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High Signal

Use for TikTok crawling, content retrieval, and analysis

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.0

Provenance

Publisher: RomneyDa
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 20 sections Open source page

TikTok Scraping with yt-dlp

yt-dlp is a CLI for downloading video/audio from TikTok and many other sites.

Setup

# macOS brew install yt-dlp ffmpeg # pip (any platform) pip install yt-dlp # Also install ffmpeg separately for merging/post-processing

Single Video

yt-dlp "https://www.tiktok.com/@handle/video/1234567890"

Entire Profile

yt-dlp "https://www.tiktok.com/@handle" \ -P "./tiktok/data" \ -o "%(uploader)s/%(upload_date)s-%(id)s/video.%(ext)s" \ --write-info-json Creates: tiktok/data/ handle/ 20260220-7331234567890/ video.mp4 video.info.json

Multiple Profiles

for handle in handle1 handle2 handle3; do yt-dlp "https://www.tiktok.com/@$handle" \ -P "./tiktok/data" \ -o "%(uploader)s/%(upload_date)s-%(id)s/video.%(ext)s" \ --write-info-json \ --download-archive "./tiktok/downloaded.txt" done

Search, Hashtags & Sounds

# Search by keyword yt-dlp "tiktoksearch:cooking recipes" --playlist-end 20 # Hashtag page yt-dlp "https://www.tiktok.com/tag/booktok" --playlist-end 50 # Videos using a specific sound yt-dlp "https://www.tiktok.com/music/original-sound-1234567890" --playlist-end 30

Format Selection

# List available formats yt-dlp -F "https://www.tiktok.com/@handle/video/1234567890" # Download specific format (e.g., best video without watermark if available) yt-dlp -f "best" "https://www.tiktok.com/@handle/video/1234567890"

By Date

# On or after a date --dateafter 20260215 # Before a date --datebefore 20260220 # Exact date --date 20260215 # Date range --dateafter 20260210 --datebefore 20260220 # Relative dates (macOS / Linux) --dateafter "$(date -u -v-7d +%Y%m%d)" # macOS: last 7 days --dateafter "$(date -u -d '7 days ago' +%Y%m%d)" # Linux: last 7 days

By Metrics & Content

# 100k+ views --match-filters "view_count >= 100000" # Duration between 30-60 seconds --match-filters "duration >= 30 & duration <= 60" # Title contains "recipe" (case-insensitive) --match-filters "title ~= (?i)recipe" # Combine: 50k+ views from Feb 2026 yt-dlp "https://www.tiktok.com/@handle" \ --match-filters "view_count >= 50000" \ --dateafter 20260201

Preview What Would Download

yt-dlp "https://www.tiktok.com/@handle" \ --simulate \ --print "%(upload_date)s | %(view_count)s views | %(title)s"

Export to JSON

# Single JSON array yt-dlp "https://www.tiktok.com/@handle" --simulate --dump-json > handle_videos.json # JSONL (one object per line, better for large datasets) yt-dlp "https://www.tiktok.com/@handle" --simulate -j > handle_videos.jsonl

Export to CSV

yt-dlp "https://www.tiktok.com/@handle" \ --simulate \ --print-to-file "%(uploader)s,%(id)s,%(upload_date)s,%(view_count)s,%(like_count)s,%(webpage_url)s" \ "./tiktok/analysis/metadata.csv"

Analyze with jq

# Top 10 videos by views from downloaded .info.json files jq -s 'sort_by(.view_count) | reverse | .[:10] | .[] | {title, view_count, url: .webpage_url}' \ tiktok/data/*/*.info.json # Total views across all videos jq -s 'map(.view_count) | add' tiktok/data/*/*.info.json # Videos grouped by upload date jq -s 'group_by(.upload_date) | map({date: .[0].upload_date, count: length})' \ tiktok/data/*/*.info.json Tip: For deeper analysis and visualization, load JSONL/CSV exports into Python with pandas. Useful for engagement scatter plots, posting frequency charts, or comparing metrics across creators.

Archive (Skip Already Downloaded)

The --download-archive flag tracks downloaded videos, enabling incremental updates: yt-dlp "https://www.tiktok.com/@handle" \ -P "./tiktok/data" \ -o "%(uploader)s/%(upload_date)s-%(id)s/video.%(ext)s" \ --write-info-json \ --download-archive "./tiktok/downloaded.txt" Run the same command later—it skips videos already in downloaded.txt.

Authentication (Private/Restricted Content)

# Use cookies from browser (recommended) yt-dlp --cookies-from-browser chrome "https://www.tiktok.com/@handle" # Or export cookies to a file first yt-dlp --cookies tiktok_cookies.txt "https://www.tiktok.com/@handle"

Scheduled Scraping (Cron)

# crontab -e # Run daily at 2 AM, log output 0 2 * * * cd /path/to/project && ./scripts/scrape-tiktok.sh >> ./tiktok/logs/cron.log 2>&1 Example scripts/scrape-tiktok.sh: #!/bin/bash set -e HANDLES="handle1 handle2 handle3" DATA_DIR="./tiktok/data" ARCHIVE="./tiktok/downloaded.txt" for handle in $HANDLES; do echo "[$(date)] Scraping @$handle" yt-dlp "https://www.tiktok.com/@$handle" \ -P "$DATA_DIR" \ -o "%(uploader)s/%(upload_date)s-%(id)s/video.%(ext)s" \ --write-info-json \ --download-archive "$ARCHIVE" \ --cookies-from-browser chrome \ --dateafter "$(date -u -v-7d +%Y%m%d)" \ --sleep-interval 2 \ --max-sleep-interval 5 done echo "[$(date)] Done"

Troubleshooting

ProblemSolutionEmpty results / no videos foundAdd --cookies-from-browser chrome — TikTok rate-limits anonymous requests403 Forbidden errorsRate limited. Wait 10-15 min, or use cookies/different IP"Video unavailable"Region-locked. Try --geo-bypass or a VPNWatermarked videosCheck -F for alternative formats; some may lack watermarkSlow downloadsAdd --concurrent-fragments 4 for faster downloadsProfile shows fewer videos than expectedTikTok API limits. Use --playlist-end N explicitly, try with cookies

Debug Mode

# Verbose output to diagnose issues yt-dlp -v "https://www.tiktok.com/@handle" 2>&1 | tee debug.log

Key Options

OptionDescription-o TEMPLATEOutput filename template-P PATHBase download directory--dateafter DATEVideos on/after date (YYYYMMDD)--datebefore DATEVideos on/before date--playlist-end NStop after N videos--match-filters EXPRFilter by metadata (views, duration, title)--write-info-jsonSave metadata JSON per video--download-archive FILETrack downloads, skip duplicates--simulate / -sDry run, no download-j / --dump-jsonOutput metadata as JSON--cookies-from-browser NAMEUse cookies from browser--sleep-interval SECWait between downloads (avoid rate limits)

Output Template Variables

VariableExample Output%(id)s7331234567890%(uploader)shandle%(upload_date)s20260215%(title).50sFirst 50 chars of title%(view_count)s1500000%(like_count)s250000%(ext)smp4 Full template reference →

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

1 Docs

SKILL.md Primary doc