SocialCrawl vs Apify
SocialCrawl ships one schema across 35 platforms with flat per-call credits. Apify's edge is a 38,000-actor marketplace plus webhooks and schedulers — pick based on what you're building.
35 platforms, 190 endpoints, one JSON shape. `npx socialcrawl-mcp` installs in Claude Code, Cursor, and Windsurf.
Searching 35 platforms in parallel
What is the difference between SocialCrawl and Apify?
Apify is a general-purpose scraping marketplace — 38,000+ actors covering almost any website. SocialCrawl is a purpose-built social data API: 35 platforms, 190 endpoints, one normalized schema, one credit meter. The choice is breadth across the whole web versus consistency on social.
Unified schema
One field name across 35 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 Apify, feature by feature?
Nineteen dimensions side by side. Apify's pricing and actor count were live-verified 2026-06-11 against apify.com — and the rows where Apify wins say so.
| Feature | SocialCrawl | Apify |
|---|---|---|
| Platforms & coverage | ||
| Social platforms in one API | 35 platforms, 190 endpoints, one auth header (x-api-key) | Social covered via separate marketplace actors — one actor per platform, each independently authored |
| Coverage beyond social | No — social only, by design | 38,000+ actors for almost any website (store listed 38,044 on 2026-06-11) |
| Cross-platform social search | GET /v1/search/everywhere — 12 platforms in one call, flat 20 credits, fused + reranked | No equivalent — run one actor per platform, merge results client-side |
| Schema & data quality | ||
| Unified response schema | Enforced at the gateway — same field names across all 35 platforms | None across actors — each actor author defines their own output shape |
| Computed fields (engagement_rate, estimated_reach, content_category) | On every response, documented in the OpenAPI spec | Actor-dependent — presence and naming vary by author |
| Parsers needed for a 6-platform product | One | Six — one per actor |
| Data quality consistency | One gateway, one quality bar — a bug is one fix | Varies per actor; user-filed 'inconsistent data' issues and abandoned actors are documented marketplace risks |
| Agent readiness | ||
| MCP for AI agents | Official socialcrawl-mcp on npm + the MCP Registry — normalized, computed-field responses | Agent tooling surfaces marketplace actors — output shape still varies per actor |
| Agent Skills bundle | npx skills add socialcrawl/skills — published on skills.sh and ClawHub | None |
| SDKs | OpenAPI spec today; typed SDKs on the roadmap | Official JS + Python SDKs — a real strength |
| Automation & delivery | ||
| Webhooks / event push | Not yet — planned Q2 | Yes — actor run events |
| Scheduler / cron scraping | No — request/response API | Yes — built in |
| Persistent datasets | No — stateless responses | Yes — tied to actor runs, exportable to JSON/CSV |
| Zapier / Make / n8n integrations | No | Yes — native |
| Pricing & billing | ||
| Billing meters | One — credits, flat cost per endpoint | Subscription + compute units + RAM + storage + proxy, plus per-result fees on many actors |
| Cost forecasting | Flat per-endpoint credit costs published in the docs | 'Poor cost control' is a recurring G2 reviewer theme; Reddit threads document prepaid credits expiring before use |
| Non-technical tooling | ||
| Visual data explorer | Paste a URL, see rich cards, export as code — no API key needed to browse | Developer console — built for developers configuring and running actors |
| Trust & compliance | ||
| SOC 2 / GDPR badges | Not at Apify's level yet | Yes — SOC 2 and GDPR, operating since 2015 |
| Custom-code hosting | No — fixed endpoint catalog | Yes — write and host your own actors; core of the platform |
Platforms & coverage
Social platforms in one API
Coverage beyond social
Cross-platform social search
Schema & data quality
Unified response schema
Computed fields (engagement_rate, estimated_reach, content_category)
Parsers needed for a 6-platform product
Data quality consistency
Agent readiness
MCP for AI agents
Agent Skills bundle
SDKs
Automation & delivery
Webhooks / event push
Scheduler / cron scraping
Persistent datasets
Zapier / Make / n8n integrations
Pricing & billing
Billing meters
Cost forecasting
Non-technical tooling
Visual data explorer
Trust & compliance
SOC 2 / GDPR badges
Custom-code hosting
Why does one schema beat 38,000 actors for social data?
Because every actor is a different developer with different conventions. Apify's TikTok, Instagram, and YouTube scrapers are separate actors by separate authors — so a multi-platform product ends up writing one parser per actor, just sourced from a marketplace.
- SocialCrawl enforces the schema at the gateway: same field names, ISO-8601 UTC timestamps, integer counts across all 35 platforms. One parser covers everything.
- Computed fields like engagement_rate and estimated_reach arrive pre-calculated on every response — no actor-by-actor variance.
- Actor quality varies by author too — even a competitor's editorial puts it plainly: 'Actor marketplace quality is inconsistent; some actors are abandoned.' Your integration inherits each author's roadmap.
- An Apify user filed 'inconsistent data' against a popular LinkedIn actor. With one enforced schema, a data bug is one fix — not a per-actor support thread.
If your product spans six platforms, one schema collapses six parsers — and six failure modes — into one.
Which works better for AI agents — marketplace actors or a social MCP server?
For social data, a purpose-built MCP server. socialcrawl-mcp is on npm and the MCP Registry, and it returns normalized responses with computed fields — your agent spends its context window reasoning, not parsing a different JSON shape per actor.
- Searches for 'apify mcp server' are up over 2,400% year on year — agent builders clearly want social data inside Claude Code, Cursor, and Windsurf.
- Routing an agent through marketplace actors means each tool call returns a different author's shape; normalized responses keep the context window for reasoning, not parsing.
- A Skills bundle (npx skills add socialcrawl/skills) extends coverage to Codex, Gemini CLI, and 40+ more agent runtimes.
- One flat 20-credit call to /v1/search/everywhere hands an agent fused, reranked results from 12 platforms — no per-platform orchestration code.
Agent teams go from zero to live social queries inside the chat loop with one install command.
How does Apify pricing compare to flat per-call credits?
Apify Starter is $29/mo plus usage — about $0.20 per compute unit, with RAM, storage, and proxy metered separately and many social actors billing per result on top. SocialCrawl bills one meter: flat credits per endpoint, published in the docs.
- 'Poor cost control' is a recurring theme in Apify's G2 reviews. With flat per-endpoint credits, your bill is a multiplication, not a forecast.
- Reddit threads document prepaid Apify credits expiring before use; SocialCrawl plans include a known credit allowance that resets with each billing cycle.
- Pay-per-result actors are genuinely cheap for bulk single-platform jobs — high-volume tweet scraping runs roughly $0.25–$0.40 per 1k. If that's your whole workload, Apify wins on price.
- SocialCrawl Starter is £14/month for 5,000 credits; Growth is £49 for 25,000. Endpoint costs are flat and published, so you can price a feature before building it.
You can quote a feature's data cost to the penny before writing a line of code.
Can you see the 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. Apify's console is built for developers configuring actor runs — 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.
- On a marketplace, evaluating data quality means picking an actor, funding a run, and reading raw JSON — the Explorer turns that into one pasted URL.
See your data before writing a single line — usually enough to decide whether the API fits your product.
fetch("/v1/...")actors on the Apify Store · verified 2026-06-11
What does Apify do better than SocialCrawl today?
Automation plumbing — and it's not close. Apify ships webhooks on run completion, a built-in scheduler, persistent datasets, and native Zapier, Make, and n8n integrations; SocialCrawl is a request/response API and webhooks are planned for Q2, not shipped.
- If your pipeline is 'scrape on a schedule, push results downstream automatically,' Apify does that out of the box today.
- Custom code is the other moat: write and host your own scraper as an actor on managed infrastructure. SocialCrawl keeps a fixed endpoint catalog by design.
- SOC 2 and GDPR compliance plus 10+ years of operation give Apify a stronger procurement story for enterprise security reviews.
How much does Apify cost versus SocialCrawl at each tier?
One credit meter (SocialCrawl) versus subscription plus usage meters (Apify). Apify prices live-verified 2026-06-11 from apify.com/pricing.
One meter instead of five
1 credit meter
Apify: subscription + compute units + RAM + storage + proxy — verified 2026-06-11
Honest asymmetry: Apify plans bundle store credit, but compute, RAM, storage, proxy, and per-result actor fees meter separately, so per-call cost depends on the actor you pick. SocialCrawl's per-endpoint credit costs are flat and published — price your real workload on both.
See full pricingWho is SocialCrawl built for?
Teams whose product is social-specific: agency CTOs unifying platforms into one dashboard, indie developers who need predictable costs, and AI agent builders who want normalized data.
Choose SocialCrawl if:
- Agency CTOs shipping multi-platform social productsOne schema across Instagram, TikTok, YouTube, LinkedIn, Reddit, and 27 more replaces a parser per platform — and a fix per parser every time a shape shifts.
- Solo developers pricing features before building themFlat per-endpoint credits mean your data cost is a lookup table, not a usage-meter surprise at month end.
- AI agent builders in Claude Code, Cursor, Windsurfnpx socialcrawl-mcp installs in seconds and returns normalized, computed-field data agents reason over directly.
- Teams that need cross-platform social searchOne call to /v1/search/everywhere fans out across 12 platforms and returns fused, reranked results — no per-platform actors to wire together.
- Mixed-skill buying committeesNon-technical teammates explore real data in the Explorer before engineering commits a sprint.
Choose Apify if:
Apify is the right call for four specific teams — and naming them plainly beats pretending there aren't any.
- You scrape beyond socialReal-estate sites, job boards, e-commerce, niche forums — with 38,000+ actors, Apify probably has one for it.
- You need webhooks and schedulers todayApify ships run-completion webhooks, cron scheduling, persistent datasets, and Zapier/Make/n8n now; SocialCrawl webhooks are planned for Q2, not shipped.
- You write your own scraping codeActors let you host custom scrapers on managed infrastructure. SocialCrawl is a fixed endpoint catalog by design.
- You run bulk single-platform jobsPay-per-result actors hit the market floor — high-volume tweet scraping at roughly $0.25–$0.40 per 1k is hard to beat.
Still evaluating? If you only scrape one or two platforms with a working Apify actor — or your own scripts — switching may not pay off yet; bookmark this page for the day a third platform or an AI-agent project lands on your roadmap.
Frequently asked questions
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