Prism Demand Signals API
Scrape Prism Demand Signals data with one API call. Reads up to four consumer-demand axes in parallel — app-review velocity (the freshest public channel), web mention slope (content_analysis phrase-trends, a real stateless time-series), Reddit sort=new velocity, and Amazon review-count level — and fuses them into published demand-index inputs (never an opaque score; every weight, anchor, and observation window is disclosed). v1 is an honest one-shot level+slope: three of the four axes are point-in-time rates/levels whose true week-over-week deltas need a monitor (the methodology block names them). Supply google_play_id/app_store_id for the app-review axis. legs[] reports each leg status, cost, and latency; a strict-majority leg failure refunds half. Flat 30 credits.
Last updated June 2026
Try the Prism Demand Signals API
See real data before writing a single line
Searching 42 platforms in parallel
What can you do with the Demand Signals API?
The Demand Signals 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/demand-signals?keyword=spotify" \
-H "x-api-key: YOUR_API_KEY"import requests
response = requests.get(
"https://www.socialcrawl.dev/v1/prism/demand-signals",
headers={"x-api-key": "YOUR_API_KEY"},
params={"keyword": "spotify"},
)
data = response.json()const params = new URLSearchParams({
"keyword": "spotify",
});
const response = await fetch(`https://www.socialcrawl.dev/v1/prism/demand-signals?${params}`, {
headers: { "x-api-key": "YOUR_API_KEY" },
});
const data = await response.json();Parameters
| Parameter | Required | Description |
|---|---|---|
| keyword | Yes | The brand or product to nowcast. Drives the mention, Reddit, and Amazon legs. |
| google_play_id | No | Google Play package name (e.g. com.spotify.music) for the app-review velocity axis. |
| app_store_id | No | Apple App Store numeric id for the app-review velocity axis. |
| signals | No | CSV subset of app_reviews,mentions,reddit,commerce (default all). app_reviews is dropped when no app id is supplied. |
| amazon_query | No | Override the Amazon product-search term if it differs from the brand. |
| country | No | Location for the app-review legs (default United States); a 2-letter code is also applied to the Amazon leg. |
| date_from | No | Window start (YYYY-MM-DD) for the mention-slope leg. Defaults to 30 days ago. |
| date_to | No | Window end (YYYY-MM-DD). Defaults to today. |
| depth | No | Reviews per store for the velocity computation (1-600, default 150). |
How does the Prism Demand Signals 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
Find answers to frequently asked questions about SocialCrawl's API, pricing, and capabilities.
Contact usAsk AI about SocialCrawl
Ready to scrape Prism Demand Signals data?
Get your API key and start pulling Prism data in under 60 seconds.
