SocialCrawl vs Exa
Exa neural-searches the open web and returns the most relevant pages; SocialCrawl searches 42 social platforms and returns the posts, creators, and comments themselves. Most agent stacks run both.
GET /v1/search/everywhere fans out across TikTok, Instagram, YouTube, X, and Reddit — npx socialcrawl-mcp installs in Claude Code and Cursor.
Facts last verified June 15, 2026
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 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·UUtility·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·UUtility·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·UUtility·Universal SearchWhat is the difference between SocialCrawl and Exa?
Exa is neural web search for AI — it finds the web pages most semantically relevant to a query. SocialCrawl is social search: it fans out across 42 social platforms and returns structured posts, creators, and comments, not blue links. Exa finds pages about a topic; SocialCrawl finds the social activity itself.
Unified schema
One field name across 42 platforms. Write one parser, not 13.
MCP server
`npx socialcrawl-mcp` on the MCP Registry. Works in Claude Code, Cursor, Windsurf.
Visual Explorer
Paste any URL, see rich cards and export as code. No API key needed to browse.
How does SocialCrawl compare to Exa, feature by feature?
Fifteen dimensions side by side, verified 2026-06-15 against exa.ai — including the rows where Exa is genuinely ahead on open-web search.
| Feature | SocialCrawl | Exa |
|---|---|---|
| Result type | ||
| What a search returns | Structured social objects — posts, profiles, comments — across 42 platforms | Open-web page results (URLs, page contents, AI-trained highlights) |
| Engagement metadata (likes, views, comments, shares) | On every social object, normalized | Not applicable — web pages, not social posts |
| Creator / profile-level data | Yes — profiles, follower counts, creator stats across platforms | No — returns pages about people, not platform profiles |
| Search surface | ||
| Index searched | 12+ social platforms (TikTok, Instagram, YouTube, X, Reddit, and more) | The open web (neural/embeddings index) |
| Cross-platform social search in one call | GET /v1/search/everywhere — RRF fusion + LLM rerank + clustering, flat 20 credits | Open-web neural search — not a per-platform social fan-out |
| Streaming results | Sync JSON or typed SSE chunks, partial-on-timeout | Sync JSON responses |
| Schema & data quality | ||
| Unified response schema | Enforced at the gateway — same field names on every platform | Page-shaped responses — no per-platform social schema to unify |
| Computed fields (engagement_rate, estimated_reach, content_category, language) | On every response | Not offered — web-page metadata only |
| Token-efficient content highlights | Optional comment + transcript enrichment per source | Yes — AI-trained highlights, strong for RAG context budgets |
| Agent readiness | ||
| MCP server | socialcrawl-mcp on npm + MCP Registry — social-shaped tools (profiles/posts/comments) | Ships an MCP server — open-web neural search tools |
| Structured outputs + grounded citations | Normalized social objects per call | Agent API with structured outputs + grounded web citations |
| Pricing & billing | ||
| Billing model | Monthly credits (GBP) — one social request is 1 credit; /search/everywhere is 20 | Per request (USD) — ~$0.007/Search, $0.001/page of contents |
| Free tier | 100 credits on signup, no card | Up to 20,000 requests/month, no card — genuinely generous |
| Non-technical tooling | ||
| Visual data explorer | Paste a URL, see rich social cards, export as code — no API key needed to browse | Developer playground for neural-search queries (web results, not social cards) |
| Trust & enterprise | ||
| Compliance posture | Early-stage — launched April 2026 | SOC 2 Type II, Zero Data Retention, SSO; $250M Series C; Cursor, HubSpot, Databricks |
| Internationalization | ||
| Localized site | English + Korean, native Korean copy + hreflang | English-first |
Result type
What a search returns
Engagement metadata (likes, views, comments, shares)
Creator / profile-level data
Search surface
Index searched
Cross-platform social search in one call
Streaming results
Schema & data quality
Unified response schema
Computed fields (engagement_rate, estimated_reach, content_category, language)
Token-efficient content highlights
Agent readiness
MCP server
Structured outputs + grounded citations
Pricing & billing
Billing model
Free tier
Non-technical tooling
Visual data explorer
Trust & enterprise
Compliance posture
Internationalization
Localized site
Does Exa return social media posts, or web pages about them?
Exa returns web pages — the open-web documents most semantically relevant to your query. SocialCrawl returns the social objects themselves: the actual TikTok posts, Instagram profiles, YouTube videos, Reddit threads, and X replies, normalized into one schema.
- Search for a trend on Exa and you get articles and pages discussing it; search on SocialCrawl and you get the posts and creators driving it.
- Every SocialCrawl result carries engagement metadata — likes, views, comments, shares — plus computed engagement_rate and estimated_reach.
- Exa is excellent at what it does: if your agent needs to read the open web, its neural ranking finds pages a keyword engine would miss.
- Need a page about the topic too? Pair them — Exa for the open web, SocialCrawl for the social layer underneath it.
Your agent stops re-scraping TikTok and Instagram after a web search — the posts arrive structured on the first call.
How do you search across TikTok, Instagram, and Reddit in one call?
SocialCrawl's GET /v1/search/everywhere fans out across 12+ social platforms in parallel, fuses the results with weighted RRF, reranks them with an LLM, and clusters them — one flat 20-credit call. Exa's index is the open web, so cross-platform social fan-out isn't its job.
- Base sources include Reddit, X, YouTube, TikTok, Instagram, Hacker News, GitHub, Threads, Pinterest, and more — up to 17 in hashtag mode.
- Results stream as typed SSE chunks or arrive as sync JSON, with optional comment and transcript enrichment per source.
- Exa fans out across the web index it built — different surface, different job; it isn't returning native per-platform social results.
- One query reaches every platform at once, so you skip writing and rate-limiting a dozen separate scrapers.
Ask once and get fused, reranked social results from a dozen platforms — instead of orchestrating a dozen integrations yourself.
Why does one normalized schema matter for social data?
Exa returns page content for open-web documents — not platform-specific social fields, so there's no social schema to normalize. SocialCrawl enforces one schema at the gateway, so a TikTok and an Instagram follower count land in the same field across 42 platforms.
- Same field names, ISO-8601 timestamps, and integer counts across every platform — you write one parser, not one per platform.
- Computed fields arrive on every response: engagement_rate, estimated_reach, content_category, language — your agent reasons instead of parsing.
- Need the upstream platform shape? ?format=raw returns it alongside the unified one.
- Because Exa is open-web, its responses are page-shaped — there's nothing per-platform to collapse, which is exactly why it isn't a social-data source.
A six-platform monitoring product maintains one parser and one fix path — not six field maps that drift independently.
How fast can you preview real social data without writing code?
SocialCrawl ships a Visual Explorer: paste a profile or post URL and see rich cards, then copy the call as cURL or Python — no API key needed to browse. Exa offers a developer playground, but it returns open-web search results, not social profile or post cards.
- 100 free credits land on signup, no card — enough to pull real profiles and feeds and read the normalized schema yourself.
- A non-technical teammate can answer 'can we get this TikTok data?' from a link, before any engineer opens an editor.
- Exa's playground is genuinely useful for testing neural-search queries — it's just answering 'which pages,' not 'which posts and creators.'
- See your social data before writing a single line — the Explorer renders the payload so you scope the integration up front.
From 'never heard of SocialCrawl' to querying live profile data in under two minutes — no integration written yet.
fetch("/v1/...")How do Exa pricing and SocialCrawl credits compare?
Different billing models for different jobs. Exa rates live-verified 2026-06-15 from exa.ai/pricing; SocialCrawl bills monthly credits in GBP, Exa bills per request in USD.
Different jobs, different meters
42 social platforms in one search
GET /v1/search/everywhere — flat 20 credits per call, fused and reranked across 12+ sources. Verified 2026-06-15
The meters aren't like-for-like: Exa bills per open-web request in USD ($0.007/Search), SocialCrawl bills per social request as a monthly GBP credit. They price different jobs — open-web retrieval vs social objects — so size each against your real workload.
See full pricingWho is SocialCrawl built for?
Teams that need the social activity itself: agent builders adding a social-data tool, alt-data and quant teams tracking creators and engagement, and developers shipping social features this quarter.
Choose SocialCrawl if:
- AI agent builders adding a social-data toolnpx socialcrawl-mcp returns normalized social objects in Claude Code and Cursor — your agent reasons over posts and creators, not raw pages.
- Alt-data and quant teams tracking signalEngagement_rate and estimated_reach arrive computed across 42 platforms, so creator and post signals are analysis-ready on arrival.
- Teams searching social, not the open webOne /v1/search/everywhere call fans out across TikTok, Instagram, YouTube, X, and Reddit — the posts themselves, fused and reranked.
- Developers shipping social features this quarterOne GET returns structured data in the response, and the Explorer shows the payload before you write a line. 100 free credits, no card.
- Korean-market teamsSocialCrawl ships native Korean copy and hreflang across the site — Exa's surfaces are English-first.
Choose Exa if:
Exa is the right call for several real jobs — and for most agent stacks it sits alongside SocialCrawl rather than against it.
- Your agent needs to read the open webNeural ranking surfaces the most semantically relevant pages, not the most SEO-optimized — a genuinely better primitive than a keyword engine.
- You're building RAG over web documentsToken-efficient page contents and AI-trained highlights fit tight LLM context budgets — exactly what RAG pipelines want.
- You run coding or research agentsSearching docs, repos, changelogs, and Stack Overflow with low-latency neural retrieval is squarely Exa's strength.
- You need open-web breadth, not social depthIf the answer lives on the web at large rather than inside social platforms, Exa's index is the right surface.
Already running Exa for open-web retrieval and not yet touching social data? Keep it — and add SocialCrawl when your agent starts re-scraping TikTok or Instagram by hand. Bookmark this for when that happens.
Frequently asked questions
Can't find what you're looking for? Talk to our team or ask the AI agent below
Ask AI about SocialCrawl
Looking for the best Exa alternative for social media data?
Every SocialCrawl comparison follows the same honest format — verified pricing, a schema diff, and a straight answer on which team each tool fits.
Search the social layer Exa can't reach
100 free credits, no card — enough to run /v1/search/everywhere and read real posts, creators, and comments yourself.