원본 Skill 문서
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Scraping TikTok Videos by Hashtag
Raw video dataset for any TikTok hashtag or keyword. Returns full video metadata including engagement metrics and author info.
Prerequisites
APIFY_TOKENenvironment variable set- Optional: Apify MCP server installed
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | Optional | [] | TikTok URLs — user profiles, hashtags, music pages, search, locations |
keywords | array | Optional | [] | Search keywords/terms to find posts |
sortType | string | Optional | RELEVANCE | Sort order for keyword results: RELEVANCE, MOST_LIKED, DATE_POSTED |
location | string | Optional | — | ISO 3166-1 alpha-2 country code for regional filtering (e.g. US, GB) |
maxItems | number | Optional | Unlimited | Maximum posts to return across the run |
includeSearchKeywords | boolean | Optional | false | Add the matched search keyword field to each post |
customMapFunction | string | Optional | — | JavaScript function to transform each output object |
Workflow
Progress:
- [ ] Step 1: Normalize hashtag list
- [ ] Step 2: Run tiktok-scraper
- [ ] Step 3: Poll for SUCCEEDED
- [ ] Step 4: Deliver video datasetStep 2: Run the Actor
Recommended — run_actor.js (handles waiting, output, and file saving automatically):
bash
# Quick answer (prints table to chat)
node scripts/run_actor.js \
--actor "apidojo~tiktok-scraper" \
--input '{"param": "value"}'
# Save as CSV
node scripts/run_actor.js \
--actor "apidojo~tiktok-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.csv --format csv
# Save as JSON
node scripts/run_actor.js \
--actor "apidojo~tiktok-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.json --format jsonAPIFY_TOKENmust be set in environment or.envfile.
If Apify MCP is available:
Tool: apify:run-actor
Actor: "apidojo~tiktok-scraper"
Input:
{
"keywords": ["tag1", "tag2"],
"maxItems": 100
}REST API fallback:
bash
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"keywords": ["tag1", "tag2"], "maxItems": 100}'Save id as RUN_ID. Poll until status = SUCCEEDED:
bash
curl "https://api.apify.com/v2/actor-runs/$RUN_ID?token=$APIFY_TOKEN" | grep '"status"'Fetch results:
bash
curl "https://api.apify.com/v2/actor-runs/$RUN_ID/dataset/items?token=$APIFY_TOKEN&format=json"Step 3: Handle Edge Cases
- 0 results for hashtag: Hashtag may be banned on TikTok or spelled incorrectly. Try alternate spelling.
- < 20 results: Hashtag may be very niche — inform user, return what is available.
- Duplicate video IDs across hashtags: Deduplicate by
videoIdfield.
Output Format
# TikTok Video Dataset: #<hashtag>
Videos collected: N | Hashtags queried: N
| Video ID | Author | Caption (truncated) | Views | Likes | Comments | Shares | Posted |
|----------|--------|---------------------|-------|-------|----------|--------|--------|
| ... | ... | ... | ... | ... | ... | ... | ... |
Available fields: videoId, authorUsername, desc, playCount, diggCount, commentCount,
shareCount, createTime, videoUrl, musicTitle, hashtags, isAdTroubleshooting
Banned hashtag returns 0: Some hashtags are restricted by TikTok — try parent category tag. Slow run: TikTok rate-limits heavily; maxItems: 200 is a safe cap per run.
