The social media data API for alternative-data investors
Current public social signals across 46 platforms, structured into model-ready JSON. Repeats use endpoint-specific 2 to 30 minute cache windows and cost 0 credits on a hit; send Cache-Control: no-cache for a billed refresh. Supported engagement and sentiment fields are populated when the required source inputs are available.
Searching 46 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·Utility·
Universal SearchTikTok·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·Utility·Universal SearchTikTok·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·Utility·Universal SearchTikTok·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·Utility·Universal SearchHow do quants pull social signals into a trading model?
Quant teams source social signals through a single API key — no per-platform scrapers, no schema reconciliation, no rate-limit firefighting. SocialCrawl normalizes the feed so your models read structured signal, not raw HTML.
368 endpoints. 46 platforms. One signal feed.
Agent Onboarding. Running an automated research agent? Fetch this skill to get an API key and start pulling model-ready social signals immediately.
Read the agent onboarding guideWhat signals can you build with a social media API for investors?
From retail-sentiment factors to prediction-market probabilities — one API key replaces a dozen fragmented data vendors. See what quant teams are sourcing through SocialCrawl today.
Social Sentiment Signals
Pull retail and creator sentiment across 46 platforms simultaneously — track ticker chatter, momentum shifts, and emerging narratives as a structured time series. Supported content endpoints add sentiment scores when source text is available.
0
API Key
Replaces a dozen vendors
0
Platforms
Sourced simultaneously
Cross-Platform Signal Search
GET /search/everywhere fans out across 46 platforms in one call — TikTok, X, Reddit, and the rest — returning ranked, de-duplicated results your model can ingest directly. Breadth in one request, no parsing overhead.
0+
Platforms
Searched in one call
0
Schema
One unified JSON shape
Prediction-Market & Finance Signals
Tie social momentum to hard numbers. Pull Polymarket prediction probabilities, Google Finance quotes, and Amazon demand signals beside the social feed. Supported social endpoints add engagement_rate and estimated_reach when the required source inputs are available.
0+
Platforms Tracked
Social, market, finance
0
Computed Fields
When source inputs are available
Why do quant models need a unified social media schema?
Every platform returns a different JSON shape, a different rate limit, a different break. Without a unified schema, your data team spends its quarter on plumbing instead of alpha. SocialCrawl normalizes everything before the data leaves our servers.
Step 1 — Connect
1. API key or MCP config.
Connect via API key or drop in the MCP config. Your pipeline is live in under 60 seconds — no procurement cycle, no per-platform contracts, no auth queues.
Step 2 — Query
2. One consistent request shape.
Query any of 368 endpoints with one consistent request. TikTok, Reddit, Polymarket, Google Finance — same request pattern, same response structure, same key. Backfill historical and pull fresh from the same surface.
Step 3 — Receive
3. Structured, model-ready JSON.
Receive unified JSON with computed fields — engagement_rate, estimated_reach, content_category, language, sentiment. Load it straight into a dataframe. No token waste, no scraper maintenance, no HTML parsing.
Freshness you control
Current data, with visible cache controls.
Cache misses fetch current platform data. Repeats use endpoint-specific 2 to 30 minute cache windows and cost 0 credits on a hit; send Cache-Control: no-cache for a billed refresh when the signal must refresh.
Zero maintenance
Platform changes — handled.
When platforms change their APIs (and they do, constantly), SocialCrawl updates. Your ingestion code stays the same. Build the factor once, source it every platform forever.
How does SocialCrawl compare to raw scraping APIs?
SocialCrawl is purpose-built for structured signal — not adapted from a general web scraper. Here's what that means for a research pipeline.
| Feature | SocialCrawl | Raw Scraping APIs | Manual Integration | DIY |
|---|---|---|---|---|
| Unified schema | One JSON shape for all 46 platforms | Raw HTML — you parse it yourself | Different shape per platform SDK | Build and maintain per-platform parsers |
| MCP support | Yes — drop-in config, works in minutes | No — HTTP only | No — requires custom wrapper | Build your own MCP server |
| Computed fields | Endpoint-supported engagement_rate, estimated_reach, sentiment, and content_category when source inputs are available | None — compute it yourself | Platform metrics only | Build your own enrichment pipeline |
| Platforms covered | 46 platforms, 368 endpoints, plus prediction markets and finance | Any site, no signal-specific structure | One platform per integration | One at a time — each breaks differently |
| Model-ready output | Structured JSON — loads straight into a dataframe | Raw HTML — needs a parsing layer | Varies — often needs post-processing | Whatever you build |
| Rate limits | Credit-based — no artificial limits | Constant bans and CAPTCHAs | Strict platform quotas | Rate limit battles every week |
| Free tier | 100 free credits — no credit card required | Varies | Varies per platform | None — full infrastructure cost |
| Time to first signal | Under 60 seconds | Hours to set up | Days to weeks | Days to weeks per platform |
Unified schema
MCP support
Computed fields
Platforms covered
Model-ready output
Rate limits
Free tier
Time to first signal
See your signal before writing a single line
100 free credits. No credit card. Query any of 368 endpoints and inspect the structured JSON that lands in your model. When an endpoint supports a computed field and the required source inputs are present, fields such as sentiment and engagement arrive ready to backtest.
Running a research agent? Fetch the onboarding skill →Which sources can investors pull through SocialCrawl?
TikTok, Instagram, YouTube, X/Twitter, Reddit, plus Polymarket prediction markets, Google Finance quotes, Amazon demand, and the universal /search/everywhere endpoint. One API key covers all 46 platforms — each returning the same unified schema your models expect. Reaches over 10 billion monthly active users across the social web.
Loved by people who move fast
What people say after they search SocialCrawl every day.
4.9 from 200+ reviews
Full-Stack Developer
The unified schema saved us weeks of integration work. One parser handles every platform.
AI Engineer, AgentFlow
Our agents process social data from 46 platforms with zero platform-specific logic — one schema, end to end.
Marketing Director
I paste an influencer's URL and get everything — followers, engagement rate, content categories — without touching code.
CTO, DataPulse
We switched from building our own scrapers. SocialCrawl handles the hard stuff, we focus on insights.
Lead Data Scientist
The computed fields alone — engagement_rate, estimated_reach, content_category — saved us an entire data pipeline.
Full-Stack Developer
The unified schema saved us weeks of integration work. One parser handles every platform.
AI Engineer, AgentFlow
Our agents process social data from 46 platforms with zero platform-specific logic — one schema, end to end.
Marketing Director
I paste an influencer's URL and get everything — followers, engagement rate, content categories — without touching code.
CTO, DataPulse
We switched from building our own scrapers. SocialCrawl handles the hard stuff, we focus on insights.
Lead Data Scientist
The computed fields alone — engagement_rate, estimated_reach, content_category — saved us an entire data pipeline.
Full-Stack Developer
The unified schema saved us weeks of integration work. One parser handles every platform.
AI Engineer, AgentFlow
Our agents process social data from 46 platforms with zero platform-specific logic — one schema, end to end.
Marketing Director
I paste an influencer's URL and get everything — followers, engagement rate, content categories — without touching code.
CTO, DataPulse
We switched from building our own scrapers. SocialCrawl handles the hard stuff, we focus on insights.
Lead Data Scientist
The computed fields alone — engagement_rate, estimated_reach, content_category — saved us an entire data pipeline.
Full-Stack Developer
The unified schema saved us weeks of integration work. One parser handles every platform.
AI Engineer, AgentFlow
Our agents process social data from 46 platforms with zero platform-specific logic — one schema, end to end.
Marketing Director
I paste an influencer's URL and get everything — followers, engagement rate, content categories — without touching code.
CTO, DataPulse
We switched from building our own scrapers. SocialCrawl handles the hard stuff, we focus on insights.
Lead Data Scientist
The computed fields alone — engagement_rate, estimated_reach, content_category — saved us an entire data pipeline.
Common questions
Everything you need to know about using SocialCrawl as an alternative-data source for your models.
Ask us anythingView credit-based pricingAsk AI about SocialCrawl for alternative data