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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

GET/v1/prism/demand-signals

The brand or product to nowcast. Drives the mention, Reddit, and Amazon legs.

8 optional parameters

Google Play package name (e.g. com.spotify.music) for the app-review velocity axis.

Apple App Store numeric id for the app-review velocity axis.

CSV subset of app_reviews,mentions,reddit,commerce (default all). app_reviews is dropped when no app id is supplied.

Override the Amazon product-search term if it differs from the brand.

Location for the app-review legs (default United States); a 2-letter code is also applied to the Amazon leg.

Window start (YYYY-MM-DD) for the mention-slope leg. Defaults to 30 days ago.

Window end (YYYY-MM-DD). Defaults to today.

Reviews per store for the velocity computation (1-600, default 150).

Searching 42 platforms in parallel

·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
·TikTok·Instagram·YouTube·Facebook·X·LinkedIn·Reddit·Threads·Pinterest·Twitch·Truth Social·Snapchat·Kick·Bluesky·Kwai·Rumble·Spotify·TikTok Shop·Amazon Shop·Google Shopping·Trustpilot·TripAdvisor·Linktree·Komi·Pillar·lnk.bio·Facebook Ads·Google Ads·LinkedIn Ads·Google Search·Google News·Google Finance·Polymarket·Tavily·Hacker News·GitHub·Perplexity·Naver·UUtility·Universal Search
Prism API

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

ParameterRequiredDescription
keywordYesThe brand or product to nowcast. Drives the mention, Reddit, and Amazon legs.
google_play_idNoGoogle Play package name (e.g. com.spotify.music) for the app-review velocity axis.
app_store_idNoApple App Store numeric id for the app-review velocity axis.
signalsNoCSV subset of app_reviews,mentions,reddit,commerce (default all). app_reviews is dropped when no app id is supplied.
amazon_queryNoOverride the Amazon product-search term if it differs from the brand.
countryNoLocation for the app-review legs (default United States); a 2-letter code is also applied to the Amazon leg.
date_fromNoWindow start (YYYY-MM-DD) for the mention-slope leg. Defaults to 30 days ago.
date_toNoWindow end (YYYY-MM-DD). Defaults to today.
depthNoReviews per store for the velocity computation (1-600, default 150).
API Details

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

Why SocialCrawl

Why use SocialCrawl for Prism Demand Signals data?

We handle the complexity of Prism data extraction so you can focus on building. Unified schema, AI enrichment, and zero platform logic in your code.

Developer First

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()
[ .JSON ]
{
  "success": true,
  "platform": "tiktok",
  "data": {
    "author": {
      "username": "charlidamelio",
      "followers": 152400000
    },
    "engagement": {
      "likes": 12400000000,
      "engagement_rate": 0.087
    },
    "metadata": {
      "language": "en",
      "content_category": "lifestyle"
    }
  }
}
+ 42 platforms
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