How to use
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npx skills add https://github.com/apidojo-io/apidojo-skills --skill scraping-tiktok-profile-dataBefore you start
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Original skill document
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Scraping TikTok Profile Data
Bulk account-level statistics for any set of TikTok usernames. Returns follower counts, engagement totals, bio, and video count.
Prerequisites
APIFY_TOKENenvironment variable set- Optional: Apify MCP server installed
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | Optional | [] | TikTok profile URLs |
usernames | array | Optional | [] | TikTok usernames (without @) |
since | string | Optional | — | Return posts after this date (YYYY-MM-DD) |
until | string | Optional | — | Return posts before this date (YYYY-MM-DD) |
maxItems | number | Optional | Unlimited | Maximum posts to return |
customMapFunction | string | Optional | — | JavaScript function to transform each output object |
Workflow
Progress:
- [ ] Step 1: Normalize username list
- [ ] Step 2: Run tiktok-profile-scraper
- [ ] Step 3: Poll for SUCCEEDED
- [ ] Step 4: Deliver profile 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-profile-scraper" \
--input '{"param": "value"}'
# Save as CSV
node scripts/run_actor.js \
--actor "apidojo~tiktok-profile-scraper" \
--input '{"param": "value"}' \
--output YYYY-MM-DD_results.csv --format csv
# Save as JSON
node scripts/run_actor.js \
--actor "apidojo~tiktok-profile-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-profile-scraper"
Input:
{
"usernames": ["creator1", "creator2"]
}REST API fallback:
bash
curl -X POST \
"https://api.apify.com/v2/acts/apidojo~tiktok-profile-scraper/runs?token=$APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"usernames": ["creator1", "creator2"]}'Save id as RUN_ID. Poll until status = SUCCEEDED:
bash
curl "https://api.apify.com/v2/actor-runs/$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
- Account not found: Username banned, deleted, or changed. Flag in output.
- Private account: Returns 0 video count with profile metadata — mark
isPrivate: true. - Batch > 500: Split into smaller batches for reliability.
Output Format
# TikTok Profile Dataset
Accounts requested: N | Returned: N | Not found: N
| Username | Followers | Following | Total Likes | Videos | Bio (truncated) | Verified |
|----------|-----------|-----------|-------------|--------|-----------------|----------|
| ... | ... | ... | ... | ... | ... | ... |
Available fields: username, nickname, followerCount, followingCount, heartCount,
videoCount, signature, verified, bioLink, avatarUrlTroubleshooting
Missing accounts: Username may have changed — verify on TikTok directly. Stale follower counts: TikTok data may lag 24–48 hours; re-run for fresh data.
