Conversation API vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionConversation APISpider Cloud
PricingFree Sandbox (unlimited); Core $29/mo, Scale $99/moFree tier: 500 pages; paid from $3.20/mo
Core FunctionStateful AI chat API with persistent memoryWeb scraping & crawling API with AI extraction
AI ModelsOpenAI GPT, Anthropic Claude, Google GeminiSilk custom model; add-on AI Studio ($6/mo)
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.

Conversation API
Conversation API

Stateful AI chat API with built-in memory for app developers

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Spider Cloud
Spider Cloud

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.

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Pricing
Freemium
Freemium
Plans
$0/mo
$49/mo
$399/mo
Custom quote
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
2 views
7.5k views
Skill Level
Beginner-friendly
Intermediate
API Available
Platforms
WebAPI
WebAPICLI
Categories
📦 LLM App Frameworks & SDKs🧠 Agent Memory & Runtimes
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Automatic conversation storage with conversation_id
Named conversations and message history retrieval
Metadata attachment to chat threads
Streaming API for real-time responses
Multi-model routing: OpenAI GPT, Anthropic Claude, Google Gemini, DeepSeek
Amazon Bedrock API key support for BYOK workflows
Release meta support for tracking assistant versions
Tools 3.0 pause/resume tool calling for debugging
JavaScript SDK (@amarsia/sdk) and React hooks (@amarsia/react)
Testing playground for iteration
Security toggles: authentication and IP allowlist
Monitoring dashboard for interaction analytics
Knowledge base with RAG and drag-and-drop upload
URL scraping for knowledge bases
Web search tool
Scrape any website into markdown, JSON, or raw HTML
Full-site crawling at 100K+ pages/sec
10,000 core API requests per minute default
Web Search API: SERP + scraping + extraction in one call
/ai/search endpoint with relevance gate to skip irrelevant pages
Silk AI model: HTML-to-structured data and captcha solving on GPUs
Browser Cloud: full browser sessions over CDP
AI commands (Act, Extract, Observe) via WebSocket with AI Studio
Multiple output formats: HTML, raw, plain text, markdown, JSON, JSONL, CSV, XML
Stealth browser layer and Unblocker for anti-bot sites
Proxy pool with 215M+ residential and ISP IPs across 199+ countries
Robots.txt compliance on by default, disable per-request
data_connectors parameter: pipe results to S3, GCS, Google Sheets, Azure Blob, Supabase
extraction_schema parameter: AI output conforms to JSON schema
1,000+ ready-made scraper examples across 32 categories
Integrations
OpenAI
Anthropic
Google
DeepSeek
Amazon Bedrock
MCP
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

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

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

41 mentions across 2 sources · 0% positive — critical

YouTube, Lemmy

What users praise

  • Competitive pay-as-you-go pricing at $1/GB with no expiry.
  • Default rate limit of 10,000 requests per minute is generous.
  • Broad output formats (HTML, markdown, JSON, CSV) cover diverse needs.
  • Integrated Web Search API bundles SERP and extraction for AI agents.

What frustrates them

  • No community feedback to confirm reliability or performance.
  • Self-reported metrics lack independent verification.
  • Stealth browser success may vary across real sites.
  • Potential legal risks from scraping; compliance is user's responsibility.

Researched Aug 26, 2026

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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Last reviewed: July 3, 2026