MakeHub.ai vs Spider Cloud

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-08-24
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At a glance

DimensionMakeHub.aiSpider Cloud
Core FunctionSmart LLM routing API for cost/latency optimizationWeb crawling/scraping API for AI agents
PricingFreemium; pay-per-token at cheapest provider ratesFreemium; $0.03/1k pages; AI Studio $6/mo add-on
Key FeatureReal-time provider benchmarking, automatic cheapest/fastest routingRust engine, 1000+ scrapers, Browser AI commands
IntegrationCline, Roo Code, n8n, LangChain, OpenAI SDKLangChain, LlamaIndex, CrewAI, S3, GCS, Sheets
Latest NewsNo recent news capturedBrowser AI commands (Mar 2026), 1000+ scraper catalog (Feb 2026)
Best ForDevelopers managing multi-provider LLM costsAI agents / RAG pipelines needing real-time web data

For AI teams needing real-time web data for RAG or agentic workflows, Spider Cloud’s Rust-powered scraping, Browser AI commands, and ultra-low cost make it the clear choice. MakeHub.ai shines when you’re juggling multiple LLM providers and want automatic cost/speed optimization, but it lacks real-time web data capabilities. Pick Spider Cloud for data ingestion; pick MakeHub for model routing.

MakeHub.ai
MakeHub.ai

OpenAI-compatible API gateway that routes each request to the cheapest and fastest LLM provider.

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Spider Cloud
Spider Cloud

AI web scraping API that turns any site into markdown or JSON for AI agents, pay-as-you-go or flat-rate.

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Pricing
Freemium
Freemium
Plans
$0
Contact sales
$0
$1/GB
$40/mo (2 concurrency) up to $19,994/mo (1,538 concurrency)
$6/mo
Popularity
4 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
API
WebAPICLI
Categories
🚦 LLM Gateways & Model Routers
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
OpenAI-compatible endpoint
Real-time provider benchmarking (price, latency, load)
Automatic cheapest/fastest routing
Support for closed and open LLMs
Restrict routing to specific providers
Performance constraint configuration
Model version selection (family & specific)
Native tool calling
List all available models
MakeHub Tools Layer for custom tooling
Direct integration with Cline and Roo Code forks
Python SDK
TypeScript SDK
cURL support
n8n integration
Scrape any website into markdown or JSON
Full-site crawling at 100K+ pages/sec
SERP, scraping, and extraction in one Web Search API call
Silk custom AI model for HTML-to-structured-data and captcha solving
Browser Cloud with CDP control and AI commands via WebSocket
Supports HTML, raw, plain text, JSON, JSONL, CSV, and XML
Stealth browser layer to bypass anti-bot measures
1,000+ ready-made scraper examples across 32 categories
10,000 core API requests per minute by default
Flat-rate Unlimited plan and pay-as-you-go with no expiry
Rust engine for performance
Robots.txt compliance on by default, disable per-request
Native integrations for LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno
Integrations
Cline
Roo Code
RA Aid
Python SDK
TypeScript SDK
cURL
n8n
Langchain
OpenAI SDK
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: MakeHub.ai vs Spider Cloud

Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.

MakeHub.ai

13 mentions across 3 sources · 52% positive — mixed

Hacker News, YouTube, Product Hunt

What users praise

  • Real-time cost and latency optimization across multiple LLM providers.
  • Single API endpoint replaces multiple provider keys and accounts.
  • Supports both open-source and proprietary models in one gateway.
  • Easy integration with OpenAI SDK and coding assistants like Cline.

What frustrates them

  • Closed-model cost fixed, reducing arbitrage value to speed only.
  • Very few independent reviews or benchmarks from real users.
  • Limited community presence beyond launch announcements.
  • Model compatibility issues across providers remain unaddressed.

Researched Jul 3, 2026

Spider Cloud

41 mentions across 2 sources · 10% positive — critical

YouTube, Lemmy

What users praise

  • One endpoint for scraping, crawling, search, and browser automation.
  • Converts sites to markdown, JSON, JSONL, CSV, XML—flexible outputs.
  • Rust engine and stealth browser claim strong anti-bot bypass.
  • Silk AI model handles captchas and HTML-to-structured data on GPUs.

What frustrates them

  • No real user reviews to validate performance or reliability.
  • Brand name confuses with Spider-Man, hurting discoverability.
  • Pricing details are vague—hidden costs may apply.
  • Learning curve for non-developers could be steep.

Researched Aug 18, 2026

Who should pick which

  • Solo founder building an AI agent that researches competitors
    Pick: Spider Cloud

    Spider Cloud provides fast, cheap web scraping with natural language crawling via AI Studio, plus Browser AI commands for interactive tasks. Its scraper catalog and data connectors simplify getting structured data into an app.

  • Developer using Cline/Roo Code and wanting to minimize LLM costs
    Pick: MakeHub.ai

    MakeHub.ai integrates directly with Cline and Roo Code forks, automatically routing each LLM call to the cheapest/fastest provider. This reduces costs without changing the coding workflow.

  • Data scientist building a RAG pipeline with real-time web sources
    Pick: Spider Cloud

    Spider Cloud’s Rust engine, structured output, and integrations with LangChain/LlamaIndex make it ideal for feeding fresh web data into vector stores. Its 99.9% success rate and low cost per page keep pipelines efficient.

  • Team managing multiple LLM API keys and looking for a unified endpoint
    Pick: MakeHub.ai

    MakeHub.ai’s single OpenAI-compatible endpoint, provider benchmarking, and performance constraints allow teams to centralize LLM access and enforce cost/latency policies without managing separate keys.

  • Tech lead evaluating both web scraping and LLM routing for a startup
    Pick: Spider Cloud

    If the startup’s core need is data acquisition (e.g., aggregating competitor prices), Spider Cloud is essential. MakeHub.ai could be layered later for LLM cost optimization. Spider Cloud addresses the primary data ingestion bottleneck.

Frequently Asked Questions

MakeHub.ai vs Spider Cloud: which should you choose?

For AI teams needing real-time web data for RAG or agentic workflows, Spider Cloud’s Rust-powered scraping, Browser AI commands, and ultra-low cost make it the clear choice. MakeHub.ai shines when you’re juggling multiple LLM providers and want automatic cost/speed optimization, but it lacks real-time web data capabilities. Pick Spider Cloud for data ingestion; pick MakeHub for model routing.

Can I use MakeHub.ai to scrape websites?

No. MakeHub.ai is an LLM routing API—it does not perform web scraping. For that, you need a tool like Spider Cloud.

Does Spider Cloud support LLM calls?

Spider Cloud is focused on web data extraction, not LLM inference. It can feed data into LLMs but doesn’t route or optimize LLM API calls.

Which tool integrates better with LangChain?

Both integrate with LangChain. Spider Cloud uses it for connecting web data to LLM workflows; MakeHub.ai uses it as an alternative SDK for LLM calls.

How does Spider Cloud handle anti-bot measures?

Spider Cloud uses Browser Cloud with stealth anti-detection, rotating proxies, and automatic retries via its unblocker endpoint to handle many anti-bot systems.

Can MakeHub.ai restrict routing to only certain providers?

Yes. MakeHub.ai allows you to restrict routing to specific providers if you have preferred vendors.

What is the free tier for each tool?

Both are freemium. Spider Cloud likely offers a limited number of pages free; MakeHub.ai offers free credits for LLM calls. Exact limits are not specified in the provided data.

Is Spider Cloud's AI extraction available for free?

AI extraction via AI Studio is a $6/month add-on, not part of the free tier. The basic scraper uses the Rust engine without AI.

Does MakeHub.ai support tool calling?

Yes, MakeHub.ai supports native tool calling and also offers a MakeHub Tools Layer for custom tooling.

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Last reviewed: July 3, 2026