Find micro-influencers across Instagram, TikTok, YouTube with real names, follower counts, bios, and contact emails. $0.01 per profile.
Enter a niche and a platform. Get back real influencer profiles with verified data.
Not just usernames. Real human names, actual follower counts, bio text, and contact emails when available.
graph LR
A["Niche + Platform"] --> B["Multi-Source Discovery"]
B --> C["Profile Verification"]
C --> D["Intelligent Extraction"]
D --> E["Structured Output"]
style A fill:#F5C542,stroke:#D4A017,color:#1a1a2e
style B fill:#6366f1,stroke:#4338ca,color:#ffffff
style C fill:#8b5cf6,stroke:#6d28d9,color:#ffffff
style D fill:#06b6d4,stroke:#0891b2,color:#ffffff
style E fill:#34d399,stroke:#065f46,color:#1a1a2e
sequenceDiagram
participant U as User
participant A as Actor
participant S as Search Engine
participant P as Social Profiles
participant AI as Intelligent Multi-Agent Model
U->>A: niche: "beauty", platform: "instagram"
A->>S: Discover matching profiles
S-->>A: Profile URLs
loop Each Profile
A->>P: Verify and extract metadata
P-->>A: Name, followers, bio
end
A->>AI: Classify niche, clean data
AI-->>A: Structured profile data
A-->>U: JSON with real names + follower counts
Step by step:
- Discovery searches multiple sources for social profiles matching your niche
- Verification visits each profile through residential proxies to grab real metadata
- Intelligent extraction uses a multi-agent model to classify niches, clean names, and structure data
- Output delivers clean JSON with every field verified
Searched "beauty" niche on Instagram, 5 results:
| Username | Real Name | Followers | Source |
|---|---|---|---|
| @mikaylajmakeup | Mikayla Jane Nogueira | 3,000,000 | Verified |
| @ericataylor2347 | Erica Taylor | 2,000,000 | Verified |
| @darcybylauren | lauren janelle | 189,000 | Verified |
| @amandaensing | Amanda Ensing | 1,000,000 | Verified |
| @jamiegenevieve | Jamie Genevieve | 1,000,000 | Verified |
All real names pulled from verified profile metadata. Not scraped from random databases.
| Parameter | Type | Default | Description |
|---|---|---|---|
niche |
String | "fitness" | Content niche to search for |
platforms |
Array | ["instagram","tiktok","youtube"] | Which platforms to search |
followerRange |
String | "micro_10k_100k" | nano_1k_10k, micro_10k_100k, mid_100k_500k, macro_500k_plus |
maxResults |
Number | 50 | Maximum profiles to find |
location |
String | "" | Geographic filter (optional) |
includeContactInfo |
Boolean | true | Extract email addresses |
{
"niche": "fitness",
"platforms": ["instagram", "tiktok"],
"followerRange": "micro_10k_100k",
"maxResults": 20,
"location": "United States"
}{
"platform": "instagram",
"username": "mikaylajmakeup",
"displayName": "Mikayla Jane Nogueira",
"bio": "Beauty content creator and makeup artist",
"estimatedFollowers": 3000000,
"nicheTags": ["beauty", "makeup", "skincare"],
"contactEmails": ["collab@example.com"],
"profileUrl": "https://www.instagram.com/mikaylajmakeup",
"contentType": "photo",
"dataSource": "og_meta_enriched",
"discoveredAt": "2026-04-14T21:08:47.748Z"
}Marketing agencies build influencer databases for client campaigns. One search replaces hours of manual Instagram browsing.
D2C brands find micro-influencers in their exact niche with contact emails ready for outreach.
Competitor analysis track which influencers are active in your space and what follower ranges dominate.
Research analyze influencer landscape across platforms for market sizing and trend reports.
flowchart TD
subgraph Input
A["Niche + Platform"] --> B[Follower Range Filter]
B --> C[Max Results & Location]
end
subgraph Processing
D[Multi-Source Search] --> E[Profile Verification]
E --> F[Intelligent Data Extraction]
F --> G[Deduplication & Scoring]
end
subgraph Output
H[JSON Dataset] --> I[CSV / Excel Export]
I --> J[API Access]
end
Input --> Processing --> Output
style A fill:#F5C542,stroke:#D4A017,color:#1a1a2e
style F fill:#06b6d4,stroke:#0891b2,color:#ffffff
style J fill:#34d399,stroke:#065f46,color:#1a1a2e
Pay per profile found. No monthly subscription.
| Event | Price | Description |
|---|---|---|
| Profile discovered | $0.01 | Per influencer profile with verified data |
Free tier available on Apify. No credit card required.
| Method | Cost for 50 profiles | Time |
|---|---|---|
| Manual research | $100+ (2 hours at $50/hr) | 2 hours |
| Upfluence | $478/month minimum | Setup time |
| Modash | $299/month minimum | Setup time |
| This actor | $0.50 | 2 minutes |
- Go to Influencer Marketing Intel
- Click Try for free
- Set your niche and platform
- Click Start
- Download results as JSON, CSV, or Excel
curl -X POST "https://api.apify.com/v2/acts/george.the.developer~influencer-marketing-intel/runs" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_TOKEN" \
-d '{"niche":"fitness","platforms":["instagram"],"maxResults":20}'from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("george.the.developer/influencer-marketing-intel").call(
run_input={
"niche": "beauty",
"platforms": ["instagram", "tiktok"],
"maxResults": 50,
}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(f"{item['displayName']} - {item['estimatedFollowers']} followers")在Instagram、TikTok、YouTube上发现微型网红。获取真实姓名、粉丝数、简介和联系邮箱。
主要功能：
- 输入行业关键词（如"美妆"、"健身"），自动搜索匹配的社交媒体账号
- 通过住宅代理验证每个资料页面，获取真实元数据
- 智能多代理模型分类内容领域并清洗数据
- 每个资料仅需 $0.01，比传统工具便宜100倍以上
输入示例：
{
"niche": "美妆",
"platforms": ["instagram", "tiktok"],
"maxResults": 50
}输出包含： 用户名、真实姓名、粉丝数量、个人简介、联系邮箱、内容标签
适用场景： 品牌营销、网红数据库建设、竞争分析、市场调研
More tools by George The Developer:
- Google Maps Lead Intel - Complete lead generation with email validation and scoring
- AI Content Detector - Detect AI generated text with hybrid analysis
- LinkedIn Employee Scraper - Employee data without login
- Sentiment Analysis API - Multilingual sentiment with emotion detection
- Email Validator API - SMTP verification and disposable detection
- Apify Store: influencer-marketing-intel
- Issues: Report a bug
- X/Twitter: @ai_in_it
MIT License. Built by George The Developer.