Facebook Post API
Scrape Facebook Post data with one API call. Returns detailed information about a specific Facebook post including the post text, like count, comment count, share count, reactions breakdown, media attachments, and author info.
Last updated June 2026
Try the Facebook Post API
See real data before writing a single line
Searching 39 platforms in parallel
What can you do with the Post API?
The Post 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/post?url=https%3A%2F%2Fwww.facebook.com%2FMeta%2Fposts%2F1234567890" \
-H "x-api-key: YOUR_API_KEY"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/facebook/post",
headers={"x-api-key": "YOUR_API_KEY"},
params={"url": "https://www.facebook.com/Meta/posts/1234567890"},
)
data = response.json()const params = new URLSearchParams({
"url": "https://www.facebook.com/Meta/posts/1234567890",
});
const response = await fetch(`https://www.socialcrawl.dev/v1/facebook/post?${params}`, {
headers: { "x-api-key": "YOUR_API_KEY" },
});
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| url | Yes | Full URL of the Facebook post |
| get_comments | No | Whether you want to get the first several comments of the post |
| get_transcript | No | Whether you want to get the transcript of the post |
How does the Facebook Post 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.
No code required
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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