Flamehaven Filesearch 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

DimensionFlamehaven FilesearchSpider Cloud
DeploymentSelf-hosted via DockerCloud API + open-source self-host option
Primary UsePrivate document RAG search over 34 file formatsWeb crawling/scraping for AI agent data retrieval
Security / GovernanceSHA256 key hashing, rate limiting, audit logs, OWASP headersStealth anti-detection, rotating proxies, unblocker endpoint
IntegrationsLangChain, LlamaIndex, Gemini, OpenAI, Claude, OllamaLangChain, LlamaIndex, CrewAI, Flowise, AutoGen, Agno, Dify, cloud storage connectors
Latest News Highlight2026-06-25: Released STEM_BIO_AI audit report on Doctolib's DoctoBERT2026-03-05: Added Browser AI commands (Act, Extract, Observe)

For teams needing private, secure document RAG with no cloud dependency, Flamehaven Filesearch is the clear winner—it’s free, self-hosted, and packed with governance features. If your AI agents need live web data at scale, Spider Cloud’s freemium API with AI extraction and browser automation is the go-to pick. The two tools complement each other rather than compete directly.

Try Flamehaven FilesearchTry Spider Cloud
Flamehaven Filesearch
Flamehaven Filesearch

Self-hosted RAG search engine for private document search — BM25 plus hybrid retrieval across 34 file formats.

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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
Free
Freemium
Plans
$0/mo
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
5 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
API
WebAPIPluginCLIDesktop
Categories
🗄️ Vector Databases & Retrieval❓ Document Q&A & Summarizing🔦 Enterprise Search & Internal Knowledge
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Self-hosted RAG search engine for private document search
BM25 keyword retrieval combined with vector hybrid search
Source-grounded answers traced back to retrieved documents
Document parsing across 34 file formats
Multi-LLM support: Gemini, OpenAI, Claude and Ollama
Ollama option for fully offline or air-gapped retrieval
Docker deployment described as production-ready in about 3 minutes
Python / FastAPI backend
API key hashing with SHA256 plus salt
Per-key rate limiting, default 100 requests per minute
Granular per-key permission control
Complete request audit logging
OWASP security headers enabled by default
Lazy imports for LangChain, LlamaIndex, CrewAI and Haystack SDKs
Natural language querying over indexed document repositories
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
LangChain
LlamaIndex
CrewAI
Haystack
Gemini
OpenAI
Claude
Ollama
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Flamehaven Filesearch 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.

Flamehaven Filesearch

3 mentions across 2 sources · 88% positive (averaged across 2 sources)

Hacker News, GitHub

What users praise

  • • Self-hosted keeps documents private on your infrastructure.
  • • Supports 34 file formats for broad document indexing.
  • • Hybrid retrieval combining BM25 and semantic search.
  • • Multi-LLM integration: Gemini, OpenAI, Claude, Ollama.

What frustrates them

  • • Community feedback is too sparse to validate claims.
  • • Scalability and performance under load are untested.
  • • No listed integrations or plugin ecosystem yet.
  • • Documentation quality and depth remain unknown.

Researched Jul 4, 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

  • Solo founder with sensitive documents
    Pick: Flamehaven Filesearch

    Free, self-hosted, secure RAG for private docs with zero cloud dependency.

  • AI agent developer needing real-time web data
    Pick: Spider Cloud

    High-performance crawling API with AI extraction, browser commands, and cost-effective $0.03/1k pages.

  • Enterprise compliance team
    Pick: Flamehaven Filesearch

    Audit logs, permission control, SHA256 key hashing, and OWASP headers meet strict governance needs.

  • RAG pipeline builder using LangChain
    Pick: Spider Cloud

    Native LangChain integration plus connectors to S3/GCS for enriched, current web context.

  • Non-technical user wanting no-code search
    Pick: Spider Cloud

    Spider offers AI Studio and simple API calls; Flamehaven requires Docker expertise.

Frequently Asked Questions

Flamehaven Filesearch vs Spider Cloud: which should you choose?

For teams needing private, secure document RAG with no cloud dependency, Flamehaven Filesearch is the clear winner—it’s free, self-hosted, and packed with governance features. If your AI agents need live web data at scale, Spider Cloud’s freemium API with AI extraction and browser automation is the go-to pick. The two tools complement each other rather than compete directly.

Which tool is better for keeping data private?

Flamehaven Filesearch is self-hosted and never sends data to third parties, making it best for privacy. Spider Cloud offers a self-host option but its primary model is cloud-based.

Can I use both tools together?

Yes. Spider Cloud can crawl the web to update a local dataset, which you then index with Flamehaven Filesearch for private RAG queries.

Does Spider Cloud support PDF scraping?

Yes, Spider Cloud’s Rust engine can scrape PDFs and output structured formats like markdown or JSON.

Is Flamehaven Filesearch production-ready?

Yes. It’s built on FastAPI with Docker, includes OWASP security headers, and claims 3-minute deployment for production.

What is the AI Studio in Spider Cloud?

AI Studio is a $6/mo add-on that lets users describe crawling tasks in natural language, and Spider automatically generates the extraction logic.

Does Flamehaven support image search?

Not directly; it focuses on text-based file formats (34 types). For image search, you’d need a separate multimodal model integration.

Which tool has better anti-blocking measures?

Spider Cloud includes stealth anti-detection, rotating proxies, and an unblocker endpoint. Flamehaven does not target web scraping, so it has no such features.

Can I self-host Spider Cloud?

Yes, Spider has an open-source core available on GitHub for self-hosting, but its advanced features (AI extraction, browser commands) may require the cloud API.

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Explore each tool further

Flamehaven Filesearch
View Flamehaven Filesearch reviewFlamehaven Filesearch alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Vector Databases & Retrieval toolsBest AI Web Scraping & Search APIs toolsBest AI Document Q&A & Summarizing toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 4, 2026