Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/apidojo-io/apidojo-skills --skill finding-tiktok-creators-by-locationAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
Finding Tiktok Creators By Location
Inputs
| Parameter | Type | Required | Default | Notes |
|---|---|---|---|---|
startUrls | array | ✅ | [] | TikTok location/place URLs (e.g. https://www.tiktok.com/tag/newyork?location=true) |
maxItems | number | Optional | Unlimited | Maximum posts to return |
customMapFunction | string | Optional | — | JavaScript function to transform each output object |
How to Run
Using run_actor.js (recommended)
bash
# Quick answer (table)
node scripts/run_actor.js --actor "apidojo~tiktok-location-scraper" --input '{"startUrls": ["https://www.tiktok.com/place/Miami-Florida-123456"], "maxItems": 100}'
# Save as CSV
node scripts/run_actor.js --actor "apidojo~tiktok-location-scraper" --input '{"startUrls": ["https://www.tiktok.com/place/Miami-Florida-123456"], "maxItems": 100}' --output results.csv --format csv
# Save as JSON
node scripts/run_actor.js --actor "apidojo~tiktok-location-scraper" --input '{"startUrls": ["https://www.tiktok.com/place/Miami-Florida-123456"], "maxItems": 100}' --output results.json --format jsonREST API fallback
bash
curl -X POST "https://api.apify.com/v2/acts/apidojo~tiktok-location-scraper/runs" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"startUrls": ["https://www.tiktok.com/place/Miami-Florida-123456"], "maxItems": 100}'If Apify MCP is available: Use the Apify MCP call_actor tool with actor apidojo~tiktok-location-scraper and the input above.
Scoring & Ranking
Score each creator by:
followers→ normalized 0-1 (cap at 500K), weight 0.40avg_engagement = (likes + comments + shares) / views→ weight 0.35verified→ 0 or 1, weight 0.25
python
score = 0.40 * min(followers / 500000, 1.0) + 0.35 * min(avg_engagement / 0.08, 1.0) + 0.25 * int(verified)Classification
| Score | Tier | Label |
|---|---|---|
| ≥ 0.70 | A | PRIME_CREATOR |
| 0.40–0.69 | B | GOOD_FIT |
| < 0.40 | C | LOW_PRIORITY |
Edge Cases
- No TikTok location URL: Must provide a TikTok location page URL — not a city name. Tell user to find it via TikTok search.
- Few results: Some locations have limited geotagged content. Return what's available.
- Duplicate creators: Same creator may post multiple videos from the location — deduplicate by channel.username.
- Irrelevant content: Location posts may include tourists, not locals. Cross-check bio for location signals.
- Stale content: Sort by most recent if freshness is important.
