SocialCrawl vs Firecrawl
Firecrawl turns open-web pages into LLM-ready markdown. SocialCrawl reads inside 42 social platforms — profiles, posts, comments — in one schema. Most agent stacks run both.
42 platforms, 264 endpoints, one JSON shape. npx socialcrawl-mcp installs in Claude Code, Cursor, and Windsurf — right alongside firecrawl-mcp.
Facts last verified June 15, 2026
Searching 42 platforms in parallel
What is the difference between SocialCrawl and Firecrawl?
Firecrawl reads the open web — point it at a URL and get clean markdown or JSON for your LLM. SocialCrawl reads inside social platforms — TikTok feeds, Instagram comments, YouTube transcripts — and returns structured social objects across 42 platforms in one schema. They solve different jobs, so most teams run both.
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 Firecrawl, feature by feature?
Sixteen dimensions side by side, split by job: Firecrawl owns the open-web rows, SocialCrawl owns the social-platform rows. Firecrawl's pricing and capabilities were verified 2026-06-15 against firecrawl.dev — and the rows where Firecrawl wins say so.
| Feature | SocialCrawl | Firecrawl |
|---|---|---|
| Primary job | ||
| What it reads | Inside social platforms (profiles, posts, comments) | The open web (any URL → markdown/JSON) |
| Response type | Structured social objects | Page content (markdown / HTML / JSON) |
| Platforms & endpoints | ||
| Social platforms covered | 42 platforms, 264 endpoints | Open web — no per-platform social coverage |
| Auth-walled feeds (TikTok, IG comments, YT transcripts) | Purpose-built endpoints | Returns page HTML, not social objects |
| Schema & data quality | ||
| Unified response schema | Enforced at the gateway | N/A — page content, not social fields |
| Computed fields (engagement_rate, estimated_reach) | Pre-calculated on every response | Not provided (open-web focus) |
| Search | ||
| Universal cross-platform social search | /v1/search/everywhere — 12 platforms, RRF + LLM rerank | Search queries the open web, returns web results |
| Returns | Posts, creators, comments (JSON or SSE) | Web page results |
| Agent readiness | ||
| Official MCP server | Shipped (npx socialcrawl-mcp) | Shipped (npx -y firecrawl-mcp) |
| Skills bundle / SDK coverage | Skills bundle + MCP across 40+ runtimes | MCP + SDKs for open-web tools |
| Open-web scraping | ||
| Scrape / Crawl / Map / Extract | Not offered (social-focused) | First-class — its core toolkit |
| Autonomous browsing agent | Not offered | FIRE-1 agent (preview) |
| Non-technical tooling | ||
| Visual Explorer (browse before code) | Paste a URL, see cards, export code | Developer playground for scrape/extract |
| Pricing & billing | ||
| Free tier | 100 credits, no card | 1,000 credits/mo, no card |
| Credit rollover | Monthly allowance resets each cycle | Credits do not roll over month to month |
| Internationalization | ||
| Bilingual surface (EN + KO) | Native English + Korean docs | English-only |
Primary job
What it reads
Response type
Platforms & endpoints
Social platforms covered
Auth-walled feeds (TikTok, IG comments, YT transcripts)
Schema & data quality
Unified response schema
Computed fields (engagement_rate, estimated_reach)
Search
Universal cross-platform social search
Returns
Agent readiness
Official MCP server
Skills bundle / SDK coverage
Open-web scraping
Scrape / Crawl / Map / Extract
Autonomous browsing agent
Non-technical tooling
Visual Explorer (browse before code)
Pricing & billing
Free tier
Credit rollover
Internationalization
Bilingual surface (EN + KO)
Can Firecrawl scrape TikTok, Instagram, or YouTube comments?
Firecrawl reads the open web brilliantly, but social platforms aren't open-web pages. TikTok feeds, Instagram comments, and YouTube transcripts live behind auth walls and infinite scroll — platform JSON, not static HTML. SocialCrawl reads them as structured social objects.
- Point Firecrawl at a profile URL and you get the page markup, not a normalized profile with follower counts, post lists, and engagement.
- SocialCrawl returns the objects directly: profiles, posts, comments, transcripts, and ad-library entries across 42 platforms.
- Computed fields — engagement_rate, estimated_reach, content_category — arrive pre-calculated, so you analyze data instead of deriving it.
- The schema is enforced at the gateway: same field names, ISO-8601 UTC timestamps, integer counts on every platform.
If your agent needs what people post and who posts it, you get social objects — not a page you still have to parse.
Both ship an MCP server — so what changes for your agent?
Both ship a first-class MCP server, so this isn't about who has one. firecrawl-mcp gives your agent the open web; socialcrawl-mcp gives it social data already normalized — your agent reasons over posts and creators instead of parsing page HTML for each platform.
- Searches for 'firecrawl mcp' run over 1,300 a month — agent builders clearly want this kind of tool inside Claude Code, Cursor, and Windsurf.
- Install both: firecrawl-mcp for documentation sites and blogs, socialcrawl-mcp for the social half your agent can't get from the open web.
- socialcrawl-mcp returns normalized responses with computed fields, so the context window goes to reasoning, not re-parsing JSON per platform.
- One flat 20-credit call to /v1/search/everywhere hands an agent fused, reranked results from 12 social platforms in a single tool call.
Your agent gets both halves of the picture — the open web and inside social — from two installs that take seconds each.
What does universal social search add that web search doesn't?
Firecrawl Search queries the open web and returns web results. SocialCrawl's /search/everywhere asks a different question — not 'what pages discuss this,' but 'what are people on social posting, and who?' — and returns structured posts, creators, and comments.
- One call fans out across 12 social platforms in parallel, fuses the results with RRF, reranks with an LLM, and clusters them.
- You get the social objects themselves — posts, creators, engagement — not blue links you'd still have to open and scrape.
- Results stream over JSON or SSE, so an agent can act on the first cluster while the rest arrive.
- It's a flat 20 credits per call on the API — no per-platform orchestration code to write and maintain.
Ask one question and see the live social activity across a dozen platforms — not a list of pages about it.
Can you see the social data before writing any code?
With SocialCrawl, yes — paste a social URL into the Explorer and see rich cards, sortable tables, and copy-as-code snippets, with no API key needed to browse. Firecrawl's playground is built for developers tuning scrape and extract jobs — the right tool for a different job.
- PMs, analysts, and strategists answer 'can we actually get this data?' themselves — without booking engineering time.
- Every Explorer query exports as a cURL, JavaScript, or Python snippet you can paste straight into a repo.
- Browse a creator's posts or a hashtag's results as cards first, then drop into code once you know the shape fits.
See your data before writing a single line — usually enough to decide whether the API fits your product.
fetch("/v1/...")Firecrawl's home turf · Scrape · Crawl · Map · Extract · verified 2026-06-15
What does Firecrawl do better than SocialCrawl?
The open web — and it's not close. Firecrawl turns any website into clean, LLM-ready markdown or structured JSON, with Scrape, Crawl, Map, Extract, Interact, and a FIRE-1 agent for autonomous browsing. SocialCrawl deliberately doesn't do that; it reads inside social platforms instead.
- If your agent needs to read documentation sites, blogs, pricing pages, or arbitrary public URLs, Firecrawl is the right tool — keep it.
- Firecrawl has open-source roots, 8k+ GitHub stars before YC, 80k+ customers, and named developer testimonials — a brand we cite as a model.
- Its generous free tier (1,000 credits a month, no card) and transparent per-page credit table make open-web access easy to start.
How does Firecrawl pricing compare to SocialCrawl?
Different jobs, different meters. Firecrawl bills monthly credit allotments for open-web pages; SocialCrawl bills monthly credits for social endpoints. Firecrawl tiers verified 2026-06-15 against firecrawl.dev/pricing.
Two jobs, two meters
100 free credits
SocialCrawl: 100 free credits, no card · Firecrawl: 1,000 free credits/mo, no card — verified 2026-06-15
Honest asymmetry: prices are GBP (SocialCrawl) vs USD (Firecrawl), so per-credit figures are indicative, not exact. Firecrawl credits don't roll over month to month, and AI-extraction or premium-proxy features can cost extra credits beyond the 1-per-page headline — price your real workload on both.
See full pricingWho is SocialCrawl built for?
Teams whose data lives inside social platforms: AI agent builders who need posts and creators, indie developers wiring up social features, and analysts tracking engagement across networks.
Add SocialCrawl if:
- AI agent builders who need social datanpx socialcrawl-mcp installs alongside firecrawl-mcp and returns normalized posts, creators, and comments your agent reasons over directly.
- Solo developers wiring up social featuresOne schema across 42 platforms means one parser, not 13 — and flat per-endpoint credits you can budget before building.
- Teams that need cross-platform social searchOne call to /v1/search/everywhere fans out across 12 platforms and returns fused, reranked posts and creators.
- Analysts tracking engagement across networksComputed engagement_rate, estimated_reach, and content_category arrive pre-calculated on every response.
- Korean-market and bilingual teamsSocialCrawl ships a bilingual (English + Korean) surface with native docs, not English-only access.
Choose Firecrawl if:
Firecrawl is the right tool for four specific jobs — and naming them plainly beats pretending SocialCrawl does everything.
- You need open-web pages as markdownPoint Firecrawl at documentation sites, blogs, or arbitrary URLs and get clean, LLM-ready markdown — that's exactly its job.
- You're feeding a RAG pipeline from the webCrawl and Map walk whole sites; Extract pulls structured JSON — ideal for ingesting public web content into LLM context.
- You want open-source roots and a big free tierFirecrawl's open-source heritage and 1,000 free credits a month make it an easy, trusted starting point for web access.
- You need autonomous multi-step browsingThe FIRE-1 agent navigates and acts across pages on its own — a capability SocialCrawl, focused on social data, doesn't offer.
Already happy with Firecrawl for the open web? Keep it — that job is Firecrawl's. Add SocialCrawl only when your agent needs what's inside social platforms and you'd otherwise be writing per-platform parsers yourself.
Frequently asked questions
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Every SocialCrawl comparison follows the same honest format — verified pricing, a schema diff, and a straight answer on which team each tool fits.
Add the social half your agent is missing
100 free credits, no card — enough to pull real profiles, posts, and comments and see the schema for yourself.
