Conversation API vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Conversation API | Spider Cloud |
|---|---|---|
| Pricing | Free Sandbox (unlimited); Core $29/mo, Scale $99/mo | Free tier: 500 pages; paid from $3.20/mo |
| Core Function | Stateful AI chat API with persistent memory | Web scraping & crawling API with AI extraction |
| AI Models | OpenAI GPT, Anthropic Claude, Google Gemini | Silk custom model; add-on AI Studio ($6/mo) |
| Integration | JavaScript SDK, React hooks, model APIs | LangChain, LlamaIndex, CrewAI, S3, GCS, etc. |
| Best For | Low-code builders adding chat without backend | AI agents needing real-time web data (RAG) |
| Latest News Impact | Security controls, test cases, new plans & models | Browser 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.

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.
Visit WebsiteWhat 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 RAGPick: 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 backendPick: 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 websitesPick: 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 devsPick: 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 AIPick: 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.
More Conversation API or Spider Cloud comparisons
Choose Vercel if you need to deploy full-stack apps or AI agents with sandboxed execution, global CDN, and rich framework integrations. Choose Spider Cloud if your primary need is fast, reliable web s
If your stack lives inside Microsoft 365 and you need governed, interactive dashboards, Power BI is the natural choice with unmatched ecosystem integration. But if you're building AI agents or RAG pip
If you need to run LLMs locally for privacy and agentic workflows, LM Studio is the free, polished choice with recent updates like multi-GPU tensor parallelism and MTP speculative decoding. If your pr
Tableau and Spider Cloud serve entirely different purposes: Tableau is a full-featured BI platform for human analysts building interactive dashboards, while Spider Cloud is a purpose-built scraping AP
Spider Cloud and Amplitude solve entirely different problems. Choose Spider Cloud if you need high-volume, low-cost web data extraction for AI agents and RAG pipelines—it’s purpose-built for that. Cho
Choose Spider Cloud if you need a fast, low-cost web scraping API for feeding real-time data into AI agents and RAG pipelines. Choose Looker if you're an enterprise on Google Cloud needing governed, A
Explore each tool further
Browse these categories
One email a week — new tools, honest comparisons, no spam.
Last reviewed: July 3, 2026