How much does it cost to build a database of 50,000 TikTok influencers?

At 1 Credit per returned creator on GET /v1/user/search, fetching 50,000 creator profiles costs 50,000 Credits ($5.00 at base rate, or $3.80 on the Starter monthly plan).

Does /v1/user/search return the creator's bio text (signature) directly?

Yes. Each entry in data.user_list[].user_info includes unique_id, nickname, uid, sec_uid, signature (full bio text), follower_count, total_favorited, and avatar URLs.

Creator Discovery · 20268 min read·Updated 2026-11-03

TikTok Influencer Search API: Find Creators by Niche & Follower Tier

How influencer marketing SaaS platforms and creator seeding teams automate TikTok creator discovery using GET /v1/user/search, /v1/user/info, and /v1/user/posts — without manual scrolling or enterprise Modash/HypeAuditor contracts.

Get Free API Key (500 Free Credits) →Run Live Code Example ↓

$0.20 / 1K Videos · $0.10 / 1K Comments & Followers · No OAuth Needed

Instant Quickstart · Copy & Run in 30 Seconds

Search Mid-Tier Influencers (10K–100K) & Compute Engagement Rate

Execute in Live Playground →

import re
import requests

API_KEY = "tk_live_your_api_key"
HEADERS = {"x-api-key": API_KEY}
EMAIL_RE = re.compile(r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}")

def discover_creators(keyword: str, follower_tier: str = "3"):
    res = requests.get(
        "https://api.tiktokapi.io/v1/user/search",
        params={"keywords": keyword, "follower_count": follower_tier, "cursor": 0},
        headers=HEADERS,
        timeout=25,
    ).json()
    results = []
    for item in (res.get("data") or {}).get("user_list", []):
        u = item.get("user_info") or item
        bio = u.get("signature") or ""
        emails = EMAIL_RE.findall(bio)
        results.append({
            "username": u.get("unique_id"),
            "followers": u.get("follower_count"),
            "email": emails[0] if emails else None,
            "bio": bio,
        })
    return results

if __name__ == "__main__":
    for c in discover_creators("fitness coach", follower_tier="3")[:5]:
        print(c)

Key Engineering Takeaways (TL;DR)

✓GET /v1/user/search lets you query TikTok creators by niche keyword with native server-side filters for follower tier (follower_count: 1=0–1K, 2=1K–10K, 3=10K–100K, 4=100K+) and verified status (profile_type=1).
✓Creator search costs 1 Credit per returned creator ($0.10 per 1,000 creators at base rate, down to $0.04/1K on Business).
✓Combine /v1/user/search with /v1/user/posts (2 Credits/video) to filter out inactive accounts and rank influencers by median non-pinned views and save-to-view ratio.
✓Interactive testing: try the free TikTok Bio Email Extractor and Engagement Rate Calculator under /tools.

1. Filtering Creators by Follower Count Tier & Verification Badge

Unlike generic web search scrapers that return random fan accounts, /v1/user/search exposes TikTok's native creator directory filters directly as query parameters:

Query parameters for GET /v1/user/search (1 Credit / returned user)
Parameter	Allowed Values	Engineering Usage	Example
keywords	Any UTF-8 string	Niche, product category, location, or bio phrase	keywords=fitness+coach
follower_count	0 (All), 1 (0–1K), 2 (1K–10K), 3 (10K–100K), 4 (100K+)	Target micro-influencers (tier 3) or macro talent (tier 4)	follower_count=3
profile_type	0 (All), 1 (Verified Blue-V)	Filter for verified brands, athletes, or public figures	profile_type=0
cursor	0, 10, 20, 30...	Pagination offset for deep niche harvesting	cursor=0

2. Three-Stage Influencer Discovery & Vetting Architecture

Production influencer databases run a three-stage funnel to keep unit costs under $0.005 per vetted creator:

Stage 1 — Candidate Discovery (/v1/user/search): Paginate through niche keywords (e.g. 'skincare aesthetician', 'pilates instructor', 'saas founder') filtered to follower_count=3 (10K–100K) at $0.10 per 1,000 candidates.
Stage 2 — Bio Contact & Link Extraction (/v1/user/info): Parse signature (bio text) and bioLink for business emails, Linktree/Beacons URLs, and Instagram handles.
Stage 3 — Engagement & Velocity Scoring (/v1/user/posts): Fetch the creator's last 15 non-pinned videos to verify they published within the last 14 days and maintain an Engagement Rate by Views (ERV) above 4.5%.

3. Production Python & Node.js Influencer Search Pipeline

The script below searches for mid-tier creators (10K–100K followers), extracts business emails from their bios, and computes their recent video engagement rate.

Search Mid-Tier Influencers (10K–100K) & Compute Engagement Rate

Queries GET /v1/user/search with follower_count=3 and enriches each creator with GET /v1/user/posts.

curl -s "https://api.tiktokapi.io/v1/user/search?keywords=fitness+coach&follower_count=3&profile_type=0&cursor=0" \
  -H "x-api-key: tk_live_your_api_key" | jq '.data.user_list[0].user_info | {unique_id, nickname, follower_count, signature}'

Interactive Engineering Workbench · GET /v1/user/search

Verify real-time latency, pagination math & JSON schema

Videos scraped per day (2 Credits / video, up to 33/call)5,000 videos/day

Comments extracted per day (1 Credit / comment, up to 50/call)10,000 comments/day

Followers mapped per day (1 Credit / user, up to 200/call)20,000 followers/day

Our HTTP Calls/Day

452

Large page sizes

Legacy Provider Calls

1,334

30-item small pages

Official Research API

Within 1K Cap

1,000 req/day limit

Estimated Monthly Pipeline Cost (30 Days)

$72.73/ mo with Business bonus ($120.00 base rate)

Daily consumption: 40,000 Credits ($4.00/day)

TikTokAPI.io (with volume bonus):$72.73 / mo

Legacy Scrapers ($1.50 / 1K calls):$60.03 / mo

Failed / 404 request fee:$0.00 (0 Credits)

Start Free (500 Credits) →Full Rate Card

Frequently Asked Questions

How much does it cost to build a database of 50,000 TikTok influencers?: At 1 Credit per returned creator on GET /v1/user/search, fetching 50,000 creator profiles costs 50,000 Credits ($5.00 at base rate, or $3.80 on the Starter monthly plan).
Does /v1/user/search return the creator's bio text (signature) directly?: Yes. Each entry in data.user_list[].user_info includes unique_id, nickname, uid, sec_uid, signature (full bio text), follower_count, total_favorited, and avatar URLs.