Facebook Profile Reels API
Scrape Facebook Profile Reels data with one API call. Returns reels from a Facebook page or profile. Each reel includes view count, reaction count, comment count, and thumbnail.
Last updated June 2026
Try the Facebook Profile Reels API
See real data before writing a single line
Searching 42 platforms in parallel
What can you do with the Profile Reels API?
The Profile Reels endpoint gives you structured Facebook data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl "https://www.socialcrawl.dev/v1/facebook/profile/reels?url=https%3A%2F%2Fwww.facebook.com%2FMeta" \
-H "x-api-key: YOUR_API_KEY"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/facebook/profile/reels",
headers={"x-api-key": "YOUR_API_KEY"},
params={"url": "https://www.facebook.com/Meta"},
)
data = response.json()const params = new URLSearchParams({
"url": "https://www.facebook.com/Meta",
});
const response = await fetch(`https://www.socialcrawl.dev/v1/facebook/profile/reels?${params}`, {
headers: { "x-api-key": "YOUR_API_KEY" },
});
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| url | Yes | Full URL of the Facebook page or profile |
| next_page_id | No | To paginate through to the next page |
| cursor | No | To paginate through to the next page |
How does the Facebook Profile Reels 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 42 platforms covering 10B+ monthly active users.
One schema, every platform
Query 42 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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