Semble vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-22
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At a glance

DimensionSembleSpider Cloud
Primary PurposeCode search for AI coding agentsWeb data extraction for AI/LLMs
Core TechnologyTree-sitter chunking, Model2Vec embeddings, BM25, RRF hybrid retrievalRust engine, rotating proxies, AI extraction (Silk model), Browser Cloud
IntegrationsClaude Code, Cursor, Codex, OpenCode, Gemini, VS Code, MCPLangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, S3, GCS, Supabase
Best ForDevelopers using AI coding agents needing fast, local code searchAI agents needing real-time web data for RAG
Latest NewsNo recent updates in last 90 daysBrowser AI commands (Act, Extract, Observe) via WebSocket; Scraper catalog with 1,000+ examples
Try SembleTry Spider Cloud
Semble
Semble

Semble gives AI coding agents exact code snippets via local code search — ~1 ms queries, ~99% fewer tokens than grep+read.

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Spider Cloud
Spider Cloud

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

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Pricing
Free
Freemium
Plans
$0
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
7 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLIPlugin
WebAPIPlugin
Categories
💻 Code & Development🔌 MCP Servers & Agent Tooling
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Natural-language code search that returns only relevant chunks to agents
Code-aware file chunking via tree-sitter
Static Model2Vec embeddings using potion-code-16M-v2
BM25 lexical retrieval for identifiers and API names
Reciprocal Rank Fusion merging semantic and lexical scores
Adaptive weighting for symbol-like vs. natural-language queries
Definition boosts so defining chunks outrank referencing chunks
Identifier stem matching (query 'parse config' boosts parseConfig)
File coherence reranking across chunks from the same file
Noise penalties for test files, legacy shims, examples, and .d.ts stubs
Search a local path, an https:// git URL, or several repos together
MCP server exposing 'search' and 'find_related' tools
Interactive 'semble install' that detects installed coding agents
Content-type filtering: code, docs, config, or all
Runs on CPU with no API keys, GPU, or external services
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 bottoms
Load protected pages through Spider's own browser engine with geo checks, returning a 200
Full browser sessions over WebSocket with rotating residential exits
AI commands (Act, Extract, Observe) over the Browser API WebSocket
Prompt-based extraction returns named fields as JSON on scrape or crawl requests
Two-phase AI extraction: fast model for most pages, stronger model for complex layouts
Provider router runs scrape and crawl requests on outside providers with your own keys
Data connectors stream crawl output to S3, GCS, Google Sheets, Azure Blob, or Supabase
Residential and ISP proxy pool with 215M+ exits across 199 countries
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ scraper examples across 32 categories with working code
API responses in JSON, JSONL, CSV, and XML; up to 10,000 core requests per minute by default
Integrations
Claude Code
Cursor
Codex
Gemini CLI
OpenCode
VS Code
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

What real users say: Semble 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.

Semble

41 mentions across 4 sources · 55% positive — mixed (averaged across 4 sources)

Hacker News, Product Hunt, GitHub, Lemmy

What users praise

  • • Near-instant indexing: 250ms for an average repo, faster than alternatives.
  • • Query latency of ~1.5ms — snappy even on large codebases.
  • • Claims 98% fewer tokens than grep+read, with verifiable savings per repo.
  • • Zero-setup: runs on CPU, no API keys, no GPU required.

What frustrates them

  • • MCP integration hangs on Codex-cli and other agents, causing frustration.
  • • First-run session can deadlock on Windows 10 for up to 20 minutes.
  • • No agent-level benchmarks to support the 98% token savings claim.
  • • Custom tree-sitter grammars not supported, limiting language coverage.

Researched Jul 3, 2026

Spider Cloud

No verifiable community signal. We scanned public discussion on Oct 22, 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

  • AI Agent Builder needing real-time web data for RAG
    Pick: Spider Cloud

    Spider Cloud's API extracts structured web data (markdown, JSON) at low cost, with AI-powered extraction and Browser AI commands for dynamic pages, easily integrated into LangChain or LlamaIndex pipelines.

  • Developer using Claude Code for large codebase navigation
    Pick: Semble

    Semble integrates directly with Claude Code and other coding agents via MCP, providing fast, token-efficient code search with hybrid retrieval and local simplicity.

  • Data Team needing to scrape thousands of pages for an LLM dataset
    Pick: Spider Cloud

    Spider Cloud's rotating proxies, high success rate (99.9%), and data connectors to S3/GCS/Supabase make it ideal for bulk, reliable web data collection.

  • Solo developer wanting private code search without cloud costs
    Pick: Semble

    Semble is free, open-source, runs entirely on CPU, and indexes repos in milliseconds—perfect for a single dev seeking instant code answers without external dependencies.

Frequently Asked Questions

Are Spider Cloud and Semble competitors?

No. Spider Cloud extracts web data; Semble searches local code. They serve different use cases.

Which tool is better for RAG pipelines?

Spider Cloud, because it fetches and structures web content for LLM context. Semble is for code retrieval, not web data.

What is the pricing model for Spider Cloud?

Freemium pay-as-you-go: ~$0.03 per 1k pages. Failed requests are free. AI Studio add-on is $6/mo.

Is Semble really free?

Yes, it's fully free and open-source. No API keys, GPU, or subscriptions required.

Does Spider Cloud support dynamic content?

Yes, via Browser AI commands (Act, Extract, Observe) through WebSocket, plus AI-powered extraction for complex layouts.

Can Semble search across multiple repositories?

Yes, it indexes local paths and git URLs, making it possible to search across multiple repos.

What integrations does Spider Cloud offer?

LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, plus data connectors to S3, GCS, Google Sheets, Azure Blob, Supabase.

What integrations does Semble offer?

Claude Code, Cursor, Codex, OpenCode, Gemini, VS Code, and MCP (Model Context Protocol).

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Explore each tool further

Semble
View Semble reviewSemble alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI Code & Development toolsBest AI Web Scraping & Search APIs toolsBest AI MCP Servers & Agent Tooling toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026