Liveblocks AI Copilots vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Liveblocks AI Copilots | Spider Cloud |
|---|---|---|
| Pricing | Free tier available; Pro+ plans start around $159/mo (includes managed knowledge and advanced AI features) | Free tier (1000 pages/mo); paid plans from $0.003/page or $30/mo for 10k pages; AI Studio $6/mo add-on |
| Primary Function | Embed AI assistants into collaborative apps | Web crawling & scraping API for AI agents |
| Key Integration | React, Next.js, Redux, Zustand, Yjs, TipTap; LLM providers: OpenAI, Anthropic, Google Gemini | LangChain, LlamaIndex, CrewAI, AutoGen; cloud storage: S3, GCS, Supabase |
| Latest Feature | v3.21.0: Public/private threads, scoped comments permissions, new Yjs data hook | Browser AI commands via WebSocket: Act, Extract, Observe; scraper catalog (1000+ examples) |
| Use Case Fit | SaaS teams building collaborative AI assistants | RAG pipelines needing real-time web data |
| Deployment | Requires Liveblocks cloud (no offline) | Cloud API; open-source core available for self-host |
If your goal is to embed an AI assistant that collaborates with users in a real-time multiplayer app (like a shared dashboard or editor), Liveblocks AI Copilots is the clear pick—it's pre-built for React, syncs across users, and lets you bring your own LLM. If you need to feed live web data into an AI agent or RAG pipeline, Spider Cloud offers a cheap, blazing-fast scraping API with structured output and 99.9% uptime. They solve different problems: choose based on whether your priority is in-app collaboration or external data ingestion.
Add embeddable AI assistants to React apps that act, sync, and collaborate in real time.
Visit Website
AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.
Visit WebsiteWhat real users say: Liveblocks AI Copilots 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.
Liveblocks AI Copilots
17 mentions across 2 sources · 96% positive
Product Hunt, Bluesky
What users praise
- • Pre-built React component makes AI copilot integration fast and simple.
- • Multiplayer context sharing keeps AI agents aware of real-time app state.
- • Works with any major LLM (OpenAI, Anthropic, Google Gemini) by API key.
- • Built-in human-in-the-loop confirmation prevents unwanted autonomous AI actions.
What frustrates them
- • Tight integration with Liveblocks creates vendor lock-in concerns.
- • No critical or negative reviews available—only launch excitement.
- • Relies on third-party LLM API keys; latency and costs variable.
- • Advanced features like auto-re-ingestion require Pro+ subscription.
Researched Jul 4, 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
- SaaS founder building a collaborative AI assistantPick: Liveblocks AI Copilots
You need a drop-in React component that syncs AI chat across users, allows custom tool calls (e.g., update a shared chart), and understands app state. Liveblocks gives you that out-of-the-box with managed RAG and realtime multiplayer.
- AI developer feeding web data to a RAG pipelinePick: Spider Cloud
Spider Cloud's high-speed Rust engine and 99.9% uptime provide clean structured output for LLM context. With LangChain/LlamaIndex integrations and data connectors to S3/Supabase, it’s purpose-built for RAG ingestion.
- Product team adding AI agents to internal toolsPick: Liveblocks AI Copilots
Liveblocks’ <AiChat /> component lets you embed a context-aware AI that can trigger actions (e.g., generate reports, edit documents) and sync across team members. Its React toolkit fits smoothly into existing React apps.
- Enterprise needing web scraping with anti-detectionPick: Spider Cloud
Spider Cloud’s Browser Cloud with stealth anti-detection and rotating proxies handles challenging sites. Its 1,000+ scraper examples and AI unblocker endpoint make large-scale scraping reliable.
- Multiplayer app developer adding AI mentionsPick: Liveblocks AI Copilots
Liveblocks supports AI mentions in comments and notifications, enabling collaborative AI interactions. Latest threads feature (v3.21.0) adds public/private scoping, perfect for team communication within the app.
Frequently Asked Questions
Liveblocks AI Copilots vs Spider Cloud: which should you choose?
If your goal is to embed an AI assistant that collaborates with users in a real-time multiplayer app (like a shared dashboard or editor), Liveblocks AI Copilots is the clear pick—it's pre-built for React, syncs across users, and lets you bring your own LLM. If you need to feed live web data into an AI agent or RAG pipeline, Spider Cloud offers a cheap, blazing-fast scraping API with structured output and 99.9% uptime. They solve different problems: choose based on whether your priority is in-app collaboration or external data ingestion.
Which tool is better for building an AI assistant inside my SaaS app?
Liveblocks AI Copilots is designed specifically for that. It provides a pre-built React chat component that syncs in realtime, supports custom tool calling with UI renders, and connects to any LLM. Spider Cloud is for web data extraction, not for embedding assistants.
Can Spider Cloud be used to feed data to Liveblocks AI Copilots?
Yes, they are complementary. Spider Cloud can scrape and structure web data into markdown or JSON, which you can then ingest into Liveblocks via RegisterAiKnowledge or your own backend. No direct integration exists, but it's a common pattern.
Does Liveblocks AI Copilots support offline usage?
No. Liveblocks requires their cloud service for realtime sync and AI features. If you need fully offline capabilities, this isn't suitable.
What output formats does Spider Cloud support?
Markdown (GitHub, plain), HTML, JSON, JSONL, CSV, XML, and plain text. It also offers screenshot capture and link extraction.
Which is more cost-effective for high-volume scraping?
Spider Cloud is extremely cheap at $0.003 per 1,000 pages. Their free tier includes 1,000 pages/month. Liveblocks pricing is per-seat/platform based, not volume-based.
Can I use my own LLM with Liveblocks AI Copilots?
Yes. You bring your own API key for OpenAI, Anthropic (Claude), or Google Gemini. No vendor lock-in on the model provider.
Does Spider Cloud have an open-source version?
Yes, the core engine is open-source on GitHub. You can self-host the crawler, but cloud features (AI Studio, Browser Cloud, data connectors) require the hosted API.
Which tool has better integrations for AI agents?
Spider Cloud integrates with LangChain, LlamaIndex, CrewAI, AutoGen, and Dify. Liveblocks integrates with collaboration tools (Slack, Teams) and state libraries (Redux, Zustand, Yjs). Choose based on your stack: AI agent frameworks (Spider) vs. collaboration frameworks (Liveblocks).
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Last reviewed: July 3, 2026