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finding-gaming-content-creators

Name: finding-gaming-content-creators
Author: apidojo-io

Finds gaming content creators on TikTok and YouTube using apidojo's scrapers on Apify. Triggers when the user asks to: find gaming influencers for brand campaigns, discover streamers or gaming YouTubers in a specific game or genre, find TikTok creators posting gaming content, identify gaming micro-influencers for product sponsorships, find gaming creators who review hardware or accessories, build a gaming creator outreach list for a gaming brand or peripheral company, or discover rising gaming creators before they go mainstream. Returns creator handle, platform, subscriber count, avg views, game focus, and engagement signals. Ideal for gaming peripheral brands, energy drink sponsors, game publishers, and esports orgs.

What it does

Discovers gaming creators on TikTok and YouTube. Segments by game genre and creator stage — early-stage gaming creators are cost-effective for hardware and peripheral sponsorships.

The skill document

Finding Gaming Content Creators

Discovers gaming creators on TikTok and YouTube. Segments by game genre and creator stage — early-stage gaming creators are cost-effective for hardware and peripheral sponsorships.

Prerequisites

APIFY_TOKEN environment 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: Search game-specific content on target platforms
- [ ] Step 2: Collect creator handles
- [ ] Step 3: Enrich and score
- [ ] Step 4: Classify creator type
- [ ] Step 5: Deliver creator list

Step 1: Platform Searches

TikTok:

Tool: apify:run-actor
Actor: "apidojo~tiktok-scraper"
Input:
{
  "keywords": ["#[game_or_genre]", "#[game_or_genre]tiktok", "#gamingtiktok", "#[game]gameplay"],
  "maxItems": 300
}

YouTube:

Tool: apify:run-actor
Actor: "apidojo~youtube-scraper"
Input:
{
  "searchKeywords": ["[game_or_genre] gameplay", "[game_or_genre] review", "[game_or_genre] tips", "[game_or_genre] highlights"],
  "maxResults": 50,
  "type": "video"
}

Recommended — run_actor.js (handles waiting, output, and file saving automatically):

# 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 json

APIFY_TOKEN must be set in environment or .env file.

REST API fallback:

# TikTok
curl -X POST "https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=$APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"keywords": ["#valorant", "#valorantclips", "#gamingtiktok"], "maxItems": 300}'

# YouTube
curl -X POST "https://api.apify.com/v2/acts/apidojo~youtube-scraper/runs?token=$APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"searchKeywords": ["valorant gameplay", "valorant tips 2026"], "maxResults": 50}'

Step 2: Score Creators

TikTok gaming score:

tt_score = (avg_views / (follower_count + 1)) * 0.40   # view-to-follower ratio
         + (avg_likes / (avg_views + 1)) * 100 * 0.30  # like rate
         + (posts_about_game / total_posts) * 0.30      # niche focus

YouTube gaming score:

view_ratio = avg_views / (subscriber_count + 1)
yt_score = (view_ratio > 0.10 ? 1 : view_ratio/0.10) * 0.35
         + (avg_comments / (avg_views+1) > 0.01 ? 1 : ratio/0.01) * 0.25
         + (subscriber_count in 1000..100000 ? 1 : 0.5) * 0.20
         + (niche_focus_ratio) * 0.20

Creator stage:

Rising (< 10K subs): Affordable, high engagement, fast growing — best for early partnerships
Mid-tier (10K–100K): Established audience, proven niche authority
Macro (> 100K): Large reach, premium pricing

Step 3: Edge Cases

Gaming news / outlet accounts appear: Drop accounts with "news", "esports org", "official" — keep individual creators only
Clip compilation accounts (reposts, not originals): Flag if video_upload_frequency > 3/day — likely compilation not original content
TikTok gaming creators also streaming: Note in output if bio mentions "Twitch" or "stream" — these creators have dual platform value
Game-specific niche too small: If < 15 creators found for a specific game, widen to genre

Output Format

# Gaming Creator List: [GAME/GENRE]
Creators found: [N] | TikTok: [N] | YouTube: [N] | Rising: [N] | Mid-tier: [N] | Date: [DATE]

## Top TikTok Gaming Creators
| Creator | @Handle | Followers | Avg Views | View Ratio | Niche Focus | Stage | Score |
|---------|---------|-----------|-----------|-----------|-------------|-------|-------|

## Top YouTube Gaming Creators
| Creator | Channel | Subscribers | Avg Views | View Ratio | Content Type | Score |
|---------|---------|------------|-----------|-----------|-------------|-------|

## Rising Creators (< 10K — Early Partnership Opportunity)
| Creator | Platform | Subscribers | Avg Views | Game | Last Post |
|---------|---------|------------|-----------|------|----------|

Troubleshooting

Only mega-channels appear: Add "small", "indie", or "growing" to search keywords to surface smaller creators. Gaming genre too broad: Narrow by adding specific game title or mechanic: "FPS" → "Valorant", "battle royale". TikTok gaming content dominated by clips with no creator: These are highlight reels — filter out accounts with very high posting frequency (> 2 posts/day likely aggregators).

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