TikTok User Following API
Scrape TikTok User Following data with one API call. Returns a list of accounts that a TikTok user is following. Each account includes username, display name, avatar, and follower count. Pagination is not currently supported on this endpoint — the upstream returns a single page only.
Last updated June 2026
Try the TikTok User Following API
See real data before writing a single line
Searching 39 platforms in parallel
What can you do with the User Following API?
The User Following endpoint gives you structured TikTok data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl "https://www.socialcrawl.dev/v1/tiktok/user/following?handle=stoolpresidente" \
-H "x-api-key: YOUR_API_KEY"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/tiktok/user/following",
headers={"x-api-key": "YOUR_API_KEY"},
params={"handle": "stoolpresidente"},
)
data = response.json()const params = new URLSearchParams({
"handle": "stoolpresidente",
});
const response = await fetch(`https://www.socialcrawl.dev/v1/tiktok/user/following?${params}`, {
headers: { "x-api-key": "YOUR_API_KEY" },
});
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| handle | Yes | TikTok username without the @ symbol |
| trim | No | Set to true to get a trimmed response |
How does the TikTok User Following API work?
Send a GET request with your API key and get back clean, structured JSON. Every response follows our unified schema with computed fields.
Method
GET
Response
JSON
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 39 platforms covering 10B+ monthly active users.
One schema, every platform
Query 39 platforms with identical response structures. Write your integration once.
Computed fields, not just scraped
Every response includes engagement_rate, estimated_reach, content_category, and language — ready to use.
See your data before you code
Visual Data Explorer — paste any URL, get rich result cards, sortable tables, CSV export.
import requests
response = requests.get(
'https://www.socialcrawl.dev/v1/tiktok/profile',
params={'handle': 'charlidamelio'},
headers={'x-api-key': 'sc_YOUR_API_KEY'}
)
data = response.json(){
"success": true,
"platform": "tiktok",
"data": {
"author": {
"username": "charlidamelio",
"followers": 152400000
},
"engagement": {
"likes": 12400000000,
"engagement_rate": 0.087
},
"metadata": {
"language": "en",
"content_category": "lifestyle"
}
}
}Have a question? We got answers
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