Conversation API 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

DimensionConversation APISpider Cloud
Core FunctionStateful AI chat API with persistent memoryWeb scraping & crawling API with AI extraction
IntegrationJavaScript SDK, React hooks, model APIsLangChain, LlamaIndex, CrewAI, S3, GCS, etc.
Best ForLow-code builders adding chat without backendAI agents needing real-time web data (RAG)
Latest News ImpactSecurity controls, test cases, new plans & modelsBrowser AI commands, scraper catalog, data connectors

Choose Spider Cloud if you need to feed live web data into AI agents or RAG pipelines—its Rust engine and AI extraction are purpose-built for structured scraping at scale. Choose Conversation API if you want to drop a stateful chat interface into your app with zero backend setup, auto-stored conversation history, and free unlimited usage. They solve different problems: one fetches external data, the other manages conversational memory.

Try Conversation APITry Spider Cloud
Conversation API
Conversation API

Amarsia's Conversation API adds stateful AI chat — stored message history, streaming, and credit-based multi-model routing.

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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
Freemium
Freemium
Plans
$0/mo
$49/mo
$399/mo
Custom quote
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
4 views
7.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
WebAPI
WebAPIPluginCLIDesktop
Categories
📦 LLM App Frameworks & SDKs🧠 Agent Memory & Runtimes
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Automatic conversation storage with a conversation_id returned on every call
Named conversations with retrievable message history
Attach metadata to chat threads for debugging sessions
Streaming API for real-time token responses
Model registry routing across Light, Standard, Premium, and Premium+ credit tiers
Light tier: Haiku 4.5, Gemini Flash, GPT-5.4 Mini at 0.25 credits per run
Standard tier: Sonnet 4.6, GPT-5.4, Gemini Pro at 1 credit per run
Premium tier: Opus 4.6 and GPT-5.4 Pro at 2 credits per run
Premium+ for Opus 4.6 with long context (32k+) at 3 credits per run
Amazon Bedrock API key support for bring-your-own-key workflows
Tools 3.0 pause/resume tool calling for step-through debugging
JavaScript SDK (@amarsia/sdk) and React hooks (@amarsia/react)
Testing playground for iterating on prompts and assistants
Security controls for assistants: authentication toggle and IP allowlist
Monitoring dashboard for interaction analytics
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
Amazon Bedrock
MCP
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Conversation API 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.

Conversation API

34 mentions across 4 sources · 39% positive — critical (averaged across 4 sources)

Reddit, Hacker News, Product Hunt, Lemmy

What users praise

  • • Zero-setup persistence: no database or backend to manage
  • • Simple REST API with JavaScript SDK and React hooks
  • • Streaming API for real-time, chunk-by-chunk responses
  • • Supports multiple models: OpenAI, Anthropic, Google Gemini

What frustrates them

  • • Context window size limits and pruning not documented
  • • No webhook support for real-time event triggers
  • • Multilingual support unclear from community feedback
  • • Limited community data beyond launch day buzz

Researched Jul 3, 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 for RAG
    Pick: Spider Cloud

    Spider Cloud's Rust engine, AI extraction, and integrations with LangChain/LlamaIndex are built exactly for ingesting web content into AI workflows.

  • Low-code builder adding chat to a web app without backend
    Pick: Conversation API

    Conversation API's zero-setup persistent memory, streaming API, and free sandbox allow shipping stateful chat quickly with no infrastructure.

  • Data scientist needing structured data from websites
    Pick: Spider Cloud

    Spider Cloud's structured output (JSON, CSV) and scraper catalog let you collect and export data easily.

  • Product manager owning AI chat features without devs
    Pick: Conversation API

    Conversation API's dashboard, version control, and no-code assistant builder empower non-developers to manage chat experiences.

  • Startup needing both web data and conversational AI
    Pick: Spider Cloud

    For scraping-focused needs first. If chat is also required, consider both—they are complementary.

Frequently Asked Questions

Conversation API vs Spider Cloud: which should you choose?

Choose Spider Cloud if you need to feed live web data into AI agents or RAG pipelines—its Rust engine and AI extraction are purpose-built for structured scraping at scale. Choose Conversation API if you want to drop a stateful chat interface into your app with zero backend setup, auto-stored conversation history, and free unlimited usage. They solve different problems: one fetches external data, the other manages conversational memory.

Can Spider Cloud extract data from JavaScript-heavy websites?

Yes, Spider Cloud uses a browser cloud with stealth anti-detection and Browser AI commands (Act, Extract, Observe) via WebSocket to handle dynamic content.

Does Conversation API store conversation history?

Yes, all chat history is automatically stored in Amarsia's database. You only need a conversation_id to retrieve it.

What is the free tier limit for Spider Cloud?

The free tier includes 500 pages per month. Failed requests are not billed.

Is Conversation API free forever?

As of the latest news (April 2026), the Sandbox plan includes all features free forever with no time limit.

Which AI models does Conversation API support?

It supports OpenAI GPT, Anthropic Claude, and Google Gemini, with new models added regularly (latest April 2026).

Does Spider Cloud integrate with LangChain?

Yes, Spider Cloud has direct integrations with LangChain, LlamaIndex, CrewAI, and other AI agent frameworks.

Can I use Conversation API without writing code?

Yes, you can build an assistant in the dashboard, get an API endpoint, and integrate with minimal coding via JavaScript SDK or React hooks.

How does Spider Cloud handle blocking?

Spider Cloud includes an unblocker with rotating proxies, automatic retries, and an /ai/unblocker endpoint to bypass anti-bot measures.

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Explore each tool further

Conversation API
View Conversation API reviewConversation API alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI LLM App Frameworks & SDKs toolsBest AI Web Scraping & Search APIs toolsBest AI Agent Memory & Runtimes toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026