Prism Employer Brand API
Scrape Prism Employer Brand data with one API call. Fans out a LinkedIn company + posts read (LinkedIn comments are excluded — no upstream endpoint), Reddit search + comment dig, content_analysis news + sentiment, a YouTube search, and Naver blog/cafe, then computes per-surface sentiment plus a posting-tone-vs-reality gap (the company's own LinkedIn voice vs the external chatter). Coverage spine = the requested surfaces (<0.5 → 50% refund; none → full refund); the LLM theme pass degrades without refund. Supply `linkedin_url` to include the LinkedIn axis (omitted silently otherwise).
Last updated June 2026
Try the Prism Employer Brand API
See real data before writing a single line
Searching 42 platforms in parallel
What can you do with the Employer Brand API?
The Employer Brand endpoint gives you structured Prism data with computed fields in a single request. No scraping infrastructure to build or maintain.
Example Request
curl "https://www.socialcrawl.dev/v1/prism/employer-brand?company=Stripe" \
-H "x-api-key: YOUR_API_KEY"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/prism/employer-brand",
headers={"x-api-key": "YOUR_API_KEY"},
params={"company": "Stripe"},
)
data = response.json()const params = new URLSearchParams({
"company": "Stripe",
});
const response = await fetch(`https://www.socialcrawl.dev/v1/prism/employer-brand?${params}`, {
headers: { "x-api-key": "YOUR_API_KEY" },
});
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| company | Yes | The employer/company name. |
| linkedin_url | No | The company's LinkedIn URL — enables the LinkedIn voice axis + the posting-vs-reality gap. |
| surfaces | No | CSV subset of the surfaces to include. |
| phrases | No | Optional extra Reddit search phrases. |
| timeframe | No | Reddit timeframe window. |
| date_from | No | Window start (YYYY-MM-DD). |
| date_to | No | Window end (YYYY-MM-DD). |
How does the Prism Employer Brand 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"
}
}
}Ready to scrape Prism Employer Brand data?
Get your API key and start pulling Prism data in under 60 seconds.
