Aegra vs Spider Cloud

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

Analysis generated Live tool data as of 2026-10-31
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Aegra or Spider Cloud: which should you choose?

DimensionAegraSpider Cloud
Primary Use CaseSelf-hosted backend for LangGraph agentsWeb crawling & scraping AI agents
DeploymentSelf-hosted via Docker ComposeCloud API (plus self-host open-source option)
Key FeatureDrop-in LangGraph SDK replacement, no per-node feesRust engine, Browser AI commands, 1000+ scraper examples
IntegrationsLangGraph SDK, OpenAI, Anthropic, Together AI, PostgreSQLLangChain, LlamaIndex, CrewAI, S3, GCS, Supabase
Best ForLangGraph developers wanting to self-hostAI agents needing real-time web data for RAG
Aegra
Aegra

Self-hosted Agent Protocol server that runs LangGraph agents on your own Postgres with the same LangGraph SDK.

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Spider Cloud
Spider Cloud

Spider Cloud is a scraping, crawling, and web search API that returns clean markdown or JSON for AI agents and RAG pipelines.

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Pricing
Free
Paid
Plans
CommunityFree
Pay as you go$1/GB
AI Studio AlphaFrom $6/mo
UnlimitedFrom $40/mo
EnterpriseCustom
Popularity
13 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
API
WebAPIPlugin
Categories
🕸️ Agent Frameworks & Orchestration⚙️ Developer Infrastructure
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
FeaturesAegraSpider Cloud
Self-hosted Agent Protocol server for LangGraph agents
Drop-in URL swap for existing LangGraph SDK clients
LangGraph SDK compatibility for Python and JS
Agent Protocol endpoints: threads, runs, state, assistants, store, crons
PostgreSQL persistence for threads, runs, and checkpoints as plain tables
Migrations applied automatically on server start
Custom auth in Python via decorators such as @auth.on.threads.create
Auth providers: JWT, OAuth, Firebase
Per-thread ownership scoping to the authenticated user
SSE streaming of token, value, and event output
Resume streaming runs after a client disconnect
Redis worker queue with leases, heartbeats, and crash recovery
OTLP tracing to Langfuse, Phoenix, or a custom collector
Every run a trace, every node a span, set as a server setting
AG-UI compatible chat frontend via CopilotKit
Scrape a page into markdown, JSON, HTML, raw, or plain text
Crawl whole sites with each page streamed as one JSONL line in order
Web search endpoint returns SERP results plus the scraped pages behind them
Browser rendering runs scripts, loads lazy images, and reaches infinite scroll
Load protected pages through Spider's native browser engine with geo checks, returning 200
Full browser sessions over WebSocket at browser.spider.cloud
Provider router runs scrape and crawl requests on outside providers with your own keys
Prompt-based extraction returns named fields as JSON on scrape or crawl
Two-phase AI extraction: fast model for most pages, stronger for complex layouts
Data connectors stream crawl output to S3, GCS, Google Sheets, Azure Blob, or Supabase
Residential and ISP proxy pool with 215M+ exits in 199 countries
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
CLI that picks HTTP or a browser per page and stops at your budget
1,000+ scraper examples with working code
API responses in JSON, JSONL, CSV, and XML
IntegrationsAegraSpider Cloud
LangGraph SDK
PostgreSQL
Redis
Langfuse
Phoenix
LangGraph Studio
Agent Chat UI
CopilotKit
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets
Azure Blob Storage

Who should pick Aegra, and who should pick Spider Cloud?

  • AI developer building a RAG pipeline
    Pick: Spider Cloud

    Spider Cloud provides real-time web crawling and scraping with structured output, perfect for feeding up-to-date content into RAG systems. Its Rust engine and pay-as-you-go pricing make it fast and cost-effective.

  • LangGraph user wanting to self-host agents
    Pick: Aegra

    Aegra is a drop-in replacement for LangGraph Platform, allowing you to deploy agents on your own infrastructure without per-node fees. It supports custom auth and integrates with your existing LangGraph SDK code.

  • Solo founder building an AI agent with web search
    Pick: Spider Cloud

    Spider Cloud's search endpoint and 1000+ scraper examples make it easy to gather data from the web for your agent. The pay-as-you-go model keeps costs low while you prototype.

  • Team needing data sovereignty for agent deployment
    Pick: Aegra

    Aegra's self-hosted nature means all data stays on your servers, complying with strict data governance policies. Custom auth (JWT, OAuth, Firebase) provides fine-grained access control.

  • Developer combining web scraping with LangGraph agents
    Pick: Spider Cloud

    Use Spider Cloud to scrape data and feed it into a LangGraph agent deployed via Aegra. Both tools are developer-friendly and open-source-friendly, making integration seamless.

Frequently Asked Questions

Can Spider Cloud be self-hosted?

Yes, Spider Cloud offers an open-source self-host option in addition to its cloud API.

Is Aegra a replacement for LangSmith or LangGraph Platform?

Yes, Aegra serves as a drop-in replacement for LangSmith Deployments (formerly LangGraph Platform), allowing you to run the same LangGraph SDK client code against a self-hosted server.

Does Spider Cloud support browser automation beyond scraping?

Yes, Spider Cloud includes Browser AI commands via WebSocket: Act (click, type, navigate), Extract (pull structured data), and Observe (describe screen). This requires AI Studio add-on ($6/mo).

What LLM providers does Aegra support?

Aegra supports OpenAI, Anthropic, and Together AI out of the box via its multi-LLM integration.

What output formats does Spider Cloud support?

Spider Cloud supports markdown, HTML, JSON, CSV, XML, and plain text output.

Does Aegra have a cloud managed version?

Aegra is self-hosted only; there is no managed cloud offering. It is designed for teams who want full control over their infrastructure.

Can I use both tools together?

Absolutely. You can use Spider Cloud to scrape web data and feed it into a LangGraph agent deployed via Aegra. They complement each other well.

Which tool is more cost-effective?

It depends on your use case. For web scraping, Spider Cloud's pay-as-you-go model can be very cheap ($0.03/1000 pages). For deploying LangGraph agents, Aegra is free but you pay for your own servers.

What else are Aegra and Spider Cloud compared with?

Where can you read more about Aegra and Spider Cloud?

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