Olla vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-18
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At a glance

DimensionOllaSpider Cloud
Primary UseLLM proxy & load balancer for multiple backendsWeb crawling & scraping for RAG/LLMs
Key Feature HighlightUnified OpenAI-compatible API, 8+ backend support, intelligent routing, failoverRust engine, AI extraction, Browser AI commands (Act/Extract/Observe) via WebSocket
Latest News Impact (as of today)v0.0.28 adds oMLX, Anthropic passthrough, per-endpoint auth (2026-06-14); v0.0.25 adds sticky sessions, model alias validation (2026-04-17)Browser AI commands (2026-03-05), Scraper catalog 1k+ examples (2026-02-25), Data connectors (2026-02-07)
DeploymentSelf-hosted only (open-source)Cloud API (SaaS) with open-source core (self-host possible)
Best ForTeams self-hosting multiple LLM inference backendsAI agents needing real-time web data for RAG

Spider Cloud and Olla serve completely different needs: Spider Cloud is a high-performance web scraping API tailored for RAG pipelines and AI agents, with powerful AI extraction and Browser AI commands. Olla is an open-source LLM proxy and load balancer for managing multiple inference backends. Choose based on whether you need web data extraction (Spider Cloud) or unified LLM routing (Olla).

Olla
Olla

Olla is an open-source, Apache-2.0 Go LLM proxy that load-balances Ollama, vLLM, SGLang and MLX behind one OpenAI-compatible endpoint on

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping, crawling, and search API that streams live pages as markdown or JSON for AI agents and RAG pipelines.

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Pricing
Free
Freemium
Plans
$0
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
6 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
APIWeb
WebAPIPluginCLIDesktop
Categories
🚦 LLM Gateways & Model Routers🖥️ GPU Cloud & Model Inference
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Unified OpenAI-compatible API across self-hosted backends on a single port (40114)
Automatic model discovery and aggregation into one unified model registry
Model aliasing with byte-preserving JSON rewrite
Priority-based, round-robin, least-connections and weighted load balancing
Circuit-breaker health monitoring with exponential backoff and gradual recovery
Sticky session routing that keeps follow-up turns on the node holding the KV cache
Anthropic passthrough with message-format translation
Native oMLX multi-model inference support on Apple Silicon
Per-endpoint authentication for local backends that ship without auth
Embedded loopback-only read-only admin dashboard at /internal/ui/
Native Prometheus metrics endpoint at /internal/metrics
Built-in rate limiting and request validation
Structured audit logging with millisecond-precision request traces
Dual proxy engines: lightweight Sherpa and full-featured Olla
Format translation across backend API dialects (v0.0.29, Aug 2026)
Scrape a single page into markdown, JSON, HTML, raw, or plain text
Crawl entire sites with each page streamed as one JSONL line in order as it finishes
Web search endpoint returns SERP results plus the scraped pages behind them
Custom browser renders like a user: scripts run, lazy images load, infinite scroll reaches the end
Load protected pages through a real browser engine with geo checks, returning a 200
Run full browser sessions over WebSocket with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
API responses support JSON, JSONL, CSV, and XML; up to 10,000 core API requests per minute by default
Integrations
Ollama
LM Studio
vLLM
vLLM-MLX
SGLang
llama.cpp
LMDeploy
oMLX
LiteLLM
Lemonade
Docker Model Runner
Open WebUI
Cursor
Cline
Prometheus
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Olla 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.

Olla

44 mentions across 4 sources · 18% positive — critical (averaged across 4 sources)

Hacker News, Bluesky, GitHub, Lemmy

What users praise

  • • Unified OpenAI-compatible API across nine inference backends.
  • • Automatic model discovery and aggregation reduces manual configuration.
  • • Supports priority, round-robin, least-connections, and weighted routing.
  • • Automatic failover with circuit breakers and exponential backoff.

What frustrates them

  • • Almost no community feedback or real-world usage reports exist.
  • • Name is easily confused with the unrelated Ollama project.
  • • No managed cloud tier means users must handle all ops themselves.
  • • Lacks enterprise SLAs and formal support channels.

Researched Jul 6, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 14, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

Who should pick which

  • AI agent developer needing real-time web data
    Pick: Spider Cloud

    Spider Cloud provides a fast, Rust-powered API with AI extraction and Browser AI commands (Act/Extract/Observe) for interactive browsing, directly feeding data to RAG pipelines.

  • Team self-hosting multiple LLM backends
    Pick: Olla

    Olla unifies Ollama, vLLM, SGLang, etc. behind a single OpenAI-compatible API with intelligent load balancing, automatic failover, and per-endpoint auth—ideal for managing diverse local models.

  • Solo founder building a web scraping tool
    Pick: Spider Cloud

    Spider Cloud's pay-per-page pricing and 1k+ scraper examples make it easy to start scraping without managing proxy infrastructure; free tier covers initial testing.

  • Platform engineer building internal AI infrastructure
    Pick: Olla

    Olla's open-source, lightweight architecture allows custom integration with existing systems, plus features like rate limiting, audit logging, and health monitoring for production readiness.

  • Researcher experimenting with LLMs
    Pick: Olla

    Olla supports multiple backends and the latest v0.0.28 adds oMLX for fast Apple Silicon inference, enabling flexible experimentation without cloud costs.

Frequently Asked Questions

Olla vs Spider Cloud: which should you choose?

Spider Cloud and Olla serve completely different needs: Spider Cloud is a high-performance web scraping API tailored for RAG pipelines and AI agents, with powerful AI extraction and Browser AI commands. Olla is an open-source LLM proxy and load balancer for managing multiple inference backends. Choose based on whether you need web data extraction (Spider Cloud) or unified LLM routing (Olla).

Can Spider Cloud be self-hosted?

Spider Cloud has an open-source core available on GitHub, so you can self-host the basic crawling API. However, some features like Cloud Browser and AI Studio are cloud-only.

Is Olla a managed service?

No, Olla is self-hosted only. You deploy it on your own infrastructure. It is designed to be lightweight and easy to set up via Docker.

Does Spider Cloud support scraping JavaScript-rendered pages?

Yes, Spider Cloud's Browser Cloud with stealth anti-detection can handle JavaScript rendering. Additionally, the Browser AI commands (Act, Extract, Observe) allow interactive control of the browser.

What backends does Olla support?

Olla supports Ollama, LM Studio, vLLM, SGLang, llama.cpp, LMDeploy, Docker Model Runner, and oMLX (added in v0.0.28). It also has an Anthropic passthrough feature.

How does Spider Cloud charge for failed requests?

Failed requests are not billed. Only successful page retrievals count toward your usage.

Does Olla provide a GUI?

No, Olla is configured via YAML and managed through its API or CLI. It does not include a graphical user interface.

What data formats does Spider Cloud output?

Spider Cloud outputs structured data in markdown, HTML, JSON, CSV, XML, and plain text. You can also capture screenshots and extract links.

Can Olla route requests to cloud LLM providers?

Olla focuses on local inference backends. However, with the Anthropic passthrough, it can forward requests to Anthropic's API. For other cloud providers, you would need custom configuration or additional plugins.

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Last reviewed: July 3, 2026