Mainline vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-09-01
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At a glance

DimensionMainlineSpider Cloud
PricingFreemium (CLI/tool free, no paid tier mentioned)Freemium (usage-based), $0.03 per 1k pages, AI Studio add-on $6/mo
Primary FunctionGit-native intent memory for coding agentsWeb crawling & scraping API for AI agents and RAG
Target UsersCoding agent teams, developers using multiple AI coding toolsAI agents, RAG pipelines, developers needing web data
IntegrationGitHub, Codex, Claude Code, Cursor, GitHub Copilot, WindsurfLangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, cloud storage connectors
Key DifferentiatorsGit-native intent records, agent hooks, live conflict detection, high-risk code trapsRust engine, AI Studio, Browser AI commands, 99.9% success rate, 1000+ scraper templates
Output/StorageIntent records stored in Git refs and notesMarkdown, HTML, JSON, CSV, XML, plain text, JSONL; data connectors to S3/GCS/Sheets/Azure/Supabase

Spider Cloud and Mainline serve completely different needs. Spider Cloud is a web scraping API for feeding real-time data to AI agents and RAG pipelines, while Mainline is a Git-native memory system for coding agents to preserve intent and decisions alongside code. Choose Spider Cloud if you need structured web data for LLM context; choose Mainline if you manage multiple coding agents and want to avoid repeated mistakes by storing engineering intent in your repo.

Mainline
Mainline

Git-native intent memory for coding agents: decisions live in your repo.

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Spider Cloud
Spider Cloud

AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.

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Pricing
Freemium
Freemium
Plans
$0/mo
Planned
Planned
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
2 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
CLI
WebAPICLI
Categories
💻 Code & Development🧠 Agent Memory & Runtimes
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Git-native intent records stored as refs and notes
CLI commands: preflight, start, append, seal, hub, log, show, gaps
Agent hooks for context retrieval at task start
Skill framework for agents to know when to read/write/stop
Live conflict detection before Git conflicts
High-risk code trap annotation
Review behind intent: see goal, reasoning, decisions
Collaboration via fetch, branch, merge, fork
Context retrieval with --current --json
Local hub for browsing decisions and work in progress
Multilingual site (English, Chinese, Spanish)
Self-dogfood live intent Hub on GitHub
Agent protocol for architecture changes, refactors, migrations, deletions
Integration docs for Codex, Claude Code, Cursor, GitHub Copilot, Windsurf
Open source core with agent workflow docs
Scrape any website into markdown, JSON, or raw HTML
Full-site crawling at 100K+ pages/sec
10,000 core API requests per minute default
Web Search API: SERP + scraping + extraction in one call
/ai/search endpoint with relevance gate to skip irrelevant pages
Silk AI model: HTML-to-structured data and captcha solving on GPUs
Browser Cloud: full browser sessions over CDP
AI commands (Act, Extract, Observe) via WebSocket with AI Studio
Multiple output formats: HTML, raw, plain text, markdown, JSON, JSONL, CSV, XML
Stealth browser layer and Unblocker for anti-bot sites
Proxy pool with 215M+ residential and ISP IPs across 199+ countries
Robots.txt compliance on by default, disable per-request
data_connectors parameter: pipe results to S3, GCS, Google Sheets, Azure Blob, Supabase
extraction_schema parameter: AI output conforms to JSON schema
1,000+ ready-made scraper examples across 32 categories
Integrations
GitHub
Codex
Claude Code
Cursor
GitHub Copilot
Windsurf
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: Mainline 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.

Mainline

104 mentions across 7 sources · 11% positive — critical

Hacker News, YouTube, Product Hunt, Bluesky, Stack Overflow, GitHub, Lemmy

What users praise

  • Git-native intent records avoid platform lock-in.
  • Preserves developer decisions alongside code via refs/notes.
  • Agent hooks bring repo context automatically on task start.
  • Skill framework lets agents know when to stop for human judgment.

What frustrates them

  • Nearly zero community adoption or real-world feedback.
  • No evidence of reliability or performance at scale.
  • Concept may require team-wide buy-in to be effective.
  • Lack of integrations increases setup friction.

Researched Jul 15, 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

  • RAG Engineer
    Pick: Spider Cloud

    Spider Cloud provides a high-speed API to crawl and extract structured data (markdown, JSON) for feeding into vector databases. Its AI Studio and Browser AI commands allow natural language instructions and dynamic interactions, ideal for up-to-date context.

  • ML Team Lead
    Pick: Spider Cloud

    Need to build a dataset from web sources? Spider Cloud's 1,000+ scrapers, multiple output formats, and connectors to cloud storage make it easy to pipe data directly into training pipelines.

  • Full-stack Developer Using Multiple Agents
    Pick: Mainline

    Mainline preserves decisions and intent in Git, so agents like Codex and Cursor can avoid repeating dead ends. Its agent hooks and live conflict detection help maintain code quality across agent edits.

  • Coding Agent User
    Pick: Mainline

    If you rely on AI agents (e.g., Claude Code, Copilot) for code generation, Mainline stores the context behind each change, allowing agents to retrieve historical intent before modifying code.

  • Data Scientist Needing Web Data
    Pick: Spider Cloud

    Spider Cloud's structured output and search endpoint enable query-based data retrieval. The Unblocker with rotating proxies handles anti-bot measures, and the cost is low at $0.03 per 1k pages.

Frequently Asked Questions

Mainline vs Spider Cloud: which should you choose?

Spider Cloud and Mainline serve completely different needs. Spider Cloud is a web scraping API for feeding real-time data to AI agents and RAG pipelines, while Mainline is a Git-native memory system for coding agents to preserve intent and decisions alongside code. Choose Spider Cloud if you need structured web data for LLM context; choose Mainline if you manage multiple coding agents and want to avoid repeated mistakes by storing engineering intent in your repo.

Can Spider Cloud handle dynamic JavaScript-rendered pages?

Yes, Spider Cloud includes Browser AI commands via WebSocket (Act, Extract, Observe) for dynamic interactions, and it has a Browser Cloud with stealth anti-detection for JavaScript-heavy sites.

Does Mainline require a separate database or server?

No, Mainline is Git-native, storing intents as refs and notes within your existing Git repository. No new database or server is needed.

What integrations does Spider Cloud support for AI frameworks?

Spider Cloud integrates with LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, and Dify, as well as data connectors for S3, GCS, Google Sheets, Azure Blob, and Supabase.

Which coding agents does Mainline work with?

Mainline provides integration docs for Codex, Claude Code, Cursor, GitHub Copilot, and Windsurf, and works with any agent that can run CLI commands.

How does Spider Cloud charge for failed requests?

Failed requests are not billed, so you only pay for successful page crawls.

Can Mainline be used without an AI agent?

Yes, Mainline's CLI (preflight, start, append, seal, etc.) can be used manually, and it's designed for human reviewers as well to see intent behind code diffs.

Does Spider Cloud offer a free tier?

Spider Cloud is freemium, but specific free tier limits (like number of pages) are not detailed in the provided data. Pricing is usage-based starting at $0.03 per 1k pages.

What output formats does Spider Cloud support?

Spider Cloud supports markdown (GitHub-flavored and plain), HTML, JSON, JSONL, CSV, XML, and plain text.

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Last reviewed: July 5, 2026