Prism Scraper API
GET /v1/prism/lookup turns any social or commerce URL into structured data in one call. Hand it a TikTok video, an Instagram reel, a YouTube link, a Reddit thread, a GitHub repo, or an Amazon product page — Prism detects the platform, calls the right endpoint, and returns SocialCrawl's unified JSON. No surcharge: you pay the underlying endpoint's price, nothing more.
TL;DR
The Prism API by SocialCrawl returns Prism data as structured JSON — 33 endpoints behind one x-api-key, from 0 credits per call. It shares one unified schema with 43 other platforms, so the same client code works everywhere.
Where to find SocialCrawl
Try the Prism API in your browser
Type a real handle, run a real request, see the JSON SocialCrawl returns. No signup, no key — same response shape you get in production.
Try the Prism Lookup API
See real data before writing a single line
What data does the Prism API return?
Every endpoint returns structured JSON with a unified schema. Computed fields like engagement rate and content category come standard.
Last updated July 2026
Universal URL dispatcher: any social/commerce URL → the right detail endpoint's unified response.
Every comment on a post, replies nested, server-paginated to completion.
Brand mention volume time-series, sentiment split, top sources, and recent mentions for one keyword.
Consumer-demand nowcast: app-review velocity, web mention slope, Reddit velocity, and commerce review levels, fused into a published demand index.
Campaign tracker: pre/during/post volume lift, cross-platform engagement, and ranked top amplifiers for a hashtag or phrase.
AI Share-of-Voice / GEO monitoring: prompt set x reruns to per-brand appearance-% per AI engine plus a cited-domain ranking.
Crisis post-mortem: a who-said-what-first timeline across web, Reddit, Hacker News, and social, with an origin, peak, propagation sequence, and a grounded narrative.
Stateless crisis breach check: a z-score on daily mention volume and negative share, with on-breach confirmation and a severity grade.
Developer-brand health: a devtool's repo dossier + Hacker News reaction + Reddit chatter + dev-blog echo, in one call.
Ranked feed of public conversations where people seek alternatives to or are switching from a competitor.
A brand's earned-media footprint — news + tech-press + fresh-web clips, deduped and ranked, with an outlet-coverage rollup.
A Truth Social handle's pulse — profile, recent posts, per-post detail drill, and the news echo, in one call.
How a launch landed — the Hacker News reaction (top threads + comments), the dev-blog echo, and an optional repo dossier.
How much two TikTok creators' commenter audiences overlap — Jaccard, shared-fan count, and a confidence label.
A brand's cross-source reputation — Trustpilot + app stores + Google Business + web sentiment, blended into one weighted score with themed pros/cons.
A company's employer brand — what people say about working there across Reddit, the web, YouTube, Naver, and the company's own LinkedIn voice.
The real questions a topic's audience asks — harvested from Reddit + YouTube threads and clustered by intent (who/what/why/how/vs).
A product's reviews across Amazon + Google Shopping + Trustpilot, folded into a cross-marketplace rating + themed pros/cons report.
One app across Google Play + the App Store — resolved, title-matched, and compared into a cross-store rating + listing report.
A GitHub org's footprint — its top repos each expanded into a full dossier (releases, issue load, top request/complaint), rolled up.
Vet a creator before partnering — engagement quality, commenter authenticity, posting cadence, and controversy signals, optionally across platforms.
What the world is talking about that Korea isn't (and vice versa) — the global vs Korean (Naver) conversation gap for a brand/topic.
Engagement-weighted Share of Voice across 2-5 brands, with web+social split, emotion overlay, and ESOV.
Cross-source review integrity verdict (statistical, deterministic).
Multi-engine AI consensus: one question → Perplexity + Grok + Tavily answers verbatim, merged citations, and an agreement matrix.
One video URL → detail + stats + transcript + top comments + commenter sample, across YouTube/TikTok/Rumble/Instagram.
One person's public posts across X, Threads, Bluesky, and Truth Social, time-merged.
Cross-store app review intelligence (Google Play + App Store) — translated, clustered, sentiment-scored.
One handle, unified author cards across TikTok, Instagram, YouTube, X (and more).
Should you pull this handle? One call scores a handle across platforms, ranks the best ones, and projects the data volume + credit cost to pull it.
Up to 100 mixed-platform post URLs → current engagement per URL, failed URLs refunded.
Re-check up to 25 known comments in one call — per-item results, failed items refunded.
Up to 50 (platform, handle) pairs → one canonical Author per row, failed handles refunded.
How do you scrape social media data in seconds?
The fastest social media scraping API for developers. Scrape profiles, posts, comments, and analytics from 44 platforms covering 10B+ monthly active users.
One schema, every platform
Query 44 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"
}
}
}How does SocialCrawl handle 44 different platforms?
Social media scraping is hard. Schema normalization, authentication, rate limits, pagination — we handle it all before your data arrives.
Write once, query them all.
44 platforms return 44 different JSON shapes. We normalize every response into one consistent structure.
Metrics ready before you ask.
Engagement rate, estimated reach, content category, language — calculated on every response automatically.
One cursor, every platform.
Every platform paginates differently. We give you one consistent cursor-based system.
Live data, never cached.
Every request hits the actual platform. No stale data, no cache lag.
Auth, proxies, and rate limits — handled.
Platform authentication, IP rotation, rate limit management — abstracted away. Just send a GET request.
How does SocialCrawl compare to Calling each endpoint by hand for Prism data?
Same Prism data, two very different paths. Auth, rate limits, schema, and cost — side by side.
| Feature | SocialCrawl | Calling each endpoint by hand |
|---|---|---|
| Platform detection | Sniffs the platform and endpoint from the URL automatically | You map every URL pattern to the right endpoint yourself |
| Calls to learn | One request shape for any of 15 supported URL types | A different request to learn and wire up per platform |
| Pricing | Pass-through — the underlying endpoint's price, no markup | Same per-endpoint cost, plus the routing logic you maintain |
| Response shape | Unified JSON with a resolved{} routing block and legs[] transparency | Each platform hands back its own raw payload to normalize |
| Maintenance | Routing stays current as endpoints and URL shapes change | Your URL parsing breaks when a platform changes its links |
Platform detection
Calls to learn
Pricing
Response shape
Maintenance
How much does Prism scraping cost?
SocialCrawl uses credit-based pricing: you pay per API call, and most Prism endpoints cost just a few credits. Every account starts with 100 free credits — no subscriptions, no compute units, no credit card required.
See pricingIs Prism scraping legal?
SocialCrawl returns publicly available Prism data. Courts have generally upheld scraping public data — most notably in hiQ v. LinkedIn — but compliance depends on your use case and jurisdiction. You are responsible for following applicable laws and platform terms.
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