platform/seed/tasks/tiktok-trends/TASK.md

name, description, version, author, tags, tools, dependencies, inputs, outputs, config

name	description	version	author	tags	tools	dependencies	inputs	outputs	config
TikTok Trends	Fetch top trending TikTok videos for a given country and generate an engagement report with optional video downloads.	4	pastilhas	social-media tiktok trends apify content-analysis	apify	name description check_command optional yt-dlp Required only when download option is enabled. Downloads TikTok videos. yt-dlp --version true	name description type default required options country Country code to fetch trending videos for. select PT false value label PT Portugal value label US United States value label BR Brazil value label GB United Kingdom value label ES Spain value label FR France value label DE Germany value label IT Italy value label NL Netherlands value label BE Belgium value label PL Poland value label RO Romania value label SE Sweden value label AT Austria value label CH Switzerland value label IE Ireland value label CA Canada value label AU Australia value label MX Mexico value label AR Argentina value label CO Colombia value label CL Chile value label JP Japan value label KR South Korea value label IN India value label TR Turkey value label SA Saudi Arabia value label AE United Arab Emirates value label ZA South Africa value label NG Nigeria name description type default min max required limit Number of trending videos to fetch (1-100). number 20 1 100 false name description type default required download Download video files using yt-dlp (requires yt-dlp to be installed). boolean false false	name description path engagement_report Markdown report with trending videos analysis, engagement metrics, top hashtags, sounds, and creators. tiktok_trends_<country>_<timestamp>/report.md name description path raw_data Raw JSON data from Apify actor containing all video metadata. tiktok_trends_<country>_<timestamp>/raw.json name description path optional videos Downloaded video files (only present if download option was enabled). tiktok_trends_<country>_<timestamp>/videos/ true	timeout retry_count 600 0

TikTok Trends

Fetch top trending TikTok videos for a given country and generate a comprehensive engagement report.

Important

• Use the apify tool to fetch data. Do NOT call the Apify REST API directly via curl or fetch.
• Do NOT explore or list files before starting. Create the output directory, call the tool, process results.
• If download is false (default), do NOT attempt to download any videos.
• Large data files (like raw.json) exceed the 50KB read limit. Never try to read them directly. Instead, write a Node.js script to process and transform the data, execute it, then delete the script.

Steps

1. Setup output directory

Create a timestamped output directory:

$HOME/tiktok-trends/tiktok_trends_<country>_<YYYYMMDD_HHMMSS>/

2. Fetch trending videos

Call the apify tool with output_path pointing to raw.json in the output directory:

apify(
  actor_id: "clockworks~tiktok-trends-scraper",
  input: { "adsCountryCode": "<country>", "resultsPerPage": <limit> },
  output_path: "<output_dir>/raw.json"
)

The tool saves the full dataset to raw.json and returns a summary (item count). If it returns an error or 0 items, report the error and stop.

3. Generate engagement report

Important: The raw JSON file is too large to read directly (exceeds the 50KB read limit). Instead, write a Node.js script (e.g. generate-report.js) in the output directory that reads raw.json, processes the data, and writes report.md. Then execute it with node generate-report.js. Delete the script after it runs successfully.

The script should read raw.json, parse the JSON (it may be an array directly or an object with items nested inside), and write report.md with the following sections. Adapt field names based on the actual data structure (see Data Shape Reference):

Header

# TikTok Trending Report — <COUNTRY> — YYYY-MM-DD

Total videos analyzed: <count>

Engagement Summary

Build a table from each video's statistics (views/plays, likes/diggs, shares, comments):

Metric	Total	Avg per video
Views	...	...
Likes	...	...
Shares	...	...
Comments	...	...

Top Hashtags (up to 20)

Extract hashtags from the data (dedicated hashtag field or parse #tags from description). Count occurrences, sort descending.

Hashtag	Count

Top Sounds (up to 10)

From each video's music/sound metadata, format as title — author. Count occurrences, sort descending.

Sound	Count

Creators Appearing in Trending (up to 10)

From each video's author/creator field. Count occurrences, sort descending.

Creator	Videos

Video List

Full table of all videos, sorted by position:

#	Creator	Description	Views	Likes	URL

• Creator: @username from the author field
• Description: first 60 chars, pipe and newline characters replaced, with ... if truncated
• URL: the video's share/web URL
• Format numbers with locale separators (e.g. 1,234,567)

4. Download videos (only if download is true)

If download is false, skip this step entirely.

If download is true:

1. Check that yt-dlp is installed
2. Create a videos/ subdirectory in the output directory
3. Write all share_url values to a urls.txt file
4. Run: yt-dlp -a urls.txt -o "videos/%(id)s.%(ext)s" --write-info-json --no-overwrites
5. Report how many videos were downloaded. Partial failures are acceptable — do not fail the task if some downloads fail.

5. Report results

Print a summary to the user:

• Country and date
• Number of videos fetched
• Top video: @creator — views count — URL
• Top hashtag and count
• Output directory path
• Files created and their sizes

Data Shape Reference

The actor output format may vary between versions. Before writing the report generation script, inspect the first item of the dataset to discover the actual field names. Write the script to handle the fields it finds. Common field patterns across TikTok scraper actors:

• Video ID: aweme_id, id, or videoId
• Description: desc, description, or title
• Video URL: share_url, url, videoUrl, or webVideoUrl
• Author: author.unique_id, author.uniqueId, authorMeta.name, or nickname
• Statistics: Look for objects with keys like play_count/playCount, digg_count/diggCount/likes, share_count/shareCount/shares, comment_count/commentCount/comments
• Music/Sound: music.title, musicMeta.musicName, or similar
• Hashtags: text_extra[].hashtag_name, hashtags[], or parse #tags from description

Error Handling

Scenario	Action
Apify tool returns error	Report the error message. Common causes: invalid token, no credits, rate limits
Empty results	Report "No trending videos found for " and stop
Partial results (fewer than requested)	Proceed normally, note the discrepancy in the summary
yt-dlp not installed when download=true	Report that yt-dlp is required and skip downloads
Download failures	Report which videos failed but do not fail the task

Notes

• The Apify actor may take 1-3 minutes depending on the limit
• Pricing: $0.005 per start + $0.003 per result — monitor at https://console.apify.com/billing
• Not all countries have sufficient trending data; some may return fewer results than requested