CountBot 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

DimensionCountBotSpider Cloud
PricingFree (MIT license, self-hosted)Freemium (pay per usage, e.g., $0.03/1k pages; AI Studio add-on $6/mo)
DeploymentSelf-hosted (local or private server)Cloud API + open-source self-hosted option (GitHub)
Primary FunctionMulti-channel AI agent orchestration & automation hubWeb crawling & scraping API for AI/LLM data ingestion
Pricing ModelCompletely free, no usage limitsPay-as-you-go with free tier (credits or limited pages)
IntegrationsWeChat, Feishu, DingTalk, Telegram, QQ, Weibo, Discord, etc.LangChain, LlamaIndex, CrewAI, Dify, S3, GCS, Supabase, etc.
Target UserDevelopers & teams needing private AI agent with multiple IM channelsAI/ML developers & RAG pipeline builders needing reliable web data

Choose CountBot if you need a private, multi-channel AI agent hub for task automation and want total control over data and costs (free). Choose Spider Cloud if your primary need is fast, reliable web scraping for RAG pipelines or AI agents — its Rust engine and pay-as-you-go model excel at high-volume data extraction.

CountBot
CountBot

开源本地 AI Agent 中枢:连接 100+ 模型与多渠道 IM,支持私有化部署。

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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
Free
Freemium
Plans
$0/mo
$1/GB + $0.001/min compute
$40/mo (2 concurrency)
$6/mo
Popularity
12 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
DesktopCLIAPI
WebAPICLI
Categories
🕸️ Agent Frameworks & Orchestration🤖 Automation & Agents💬 Chatbot Builders
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
多渠道接入(微信、飞书、钉钉、企业微信、Telegram、QQ、微博、Discord)
100+ 大模型兼容(智谱、DeepSeek、OpenAI、Ollama 等)
Agent 团队协作(pipeline、graph、council 模式)
外部编程代理接入(Claude Code、Codex、OpenCode)
12+ 内置工具(文件处理、命令执行、网页浏览、截图)
记忆系统(长期信息沉淀与检索)
技能系统(领域化能力封装与复用)
定时任务与后台任务(持续执行与可观测运行)
多机器人独立配置(同一实例运行多个机器人账号)
本地工作空间(SQLite 单文件数据库)
自然语言编程(自然语言描述任务自动规划执行)
安全体系(访问认证、角色权限、审计日志)
Web UI 控制台(配置、调试与本地运行入口)
Agent Loop 架构(LLM 推理→工具调用→结果反馈)
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
微信
飞书
钉钉
企业微信
Telegram
QQ
微博
Discord
Claude Code
Codex
OpenCode
小智AI
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What real users say: CountBot 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.

CountBot

1 mentions across 1 sources · 65% positive

GitHub

What users praise

  • Free and open-source under MIT license.
  • Designed for Chinese-language environments and domestic LLMs.
  • Integrates with 10+ IM channels like WeChat, DingTalk, Telegram.
  • Lightweight, single-process FastAPI backend with zero external dependencies.

What frustrates them

  • Documentation is entirely in Chinese, limiting global usability.
  • Small community with low activity (735 stars, 9 issues).
  • Version 0.9.0 indicates pre-release stability issues.
  • Setup requires technical knowledge of local deployment.

Researched Jul 3, 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

  • Privacy-conscious dev team needing an internal AI agent hub
    Pick: CountBot

    CountBot's self-hosted, free, and open-source architecture ensures full data privacy and no per-seat costs, while supporting multiple IM channels for team collaboration.

  • RAG pipeline builder needing real-time web content
    Pick: Spider Cloud

    Spider Cloud's Rust-powered crawling API with 99.9% success rate and structured output is ideal for feeding fresh data into vector databases or LLM context.

  • Solo developer automating tasks via IM bots
    Pick: CountBot

    CountBot's zero cost, easy local setup, and support for 100+ LLMs allow solo devs to create custom AI assistants on WeChat/Telegram without ongoing fees.

  • AI agent developer needing web data integration
    Pick: Spider Cloud

    Spider Cloud's direct integrations with LangChain, LlamaIndex, and CrewAI simplify adding web scraping to agent workflows, with AI extraction and Browser AI commands.

  • Enterprise wanting unified communication and automation
    Pick: CountBot

    CountBot's multi-channel support (WeChat, DingTalk, Feishu, etc.) and agent team collaboration features provide a centralized AI automation hub for enterprise IM environments.

Frequently Asked Questions

CountBot vs Spider Cloud: which should you choose?

Choose CountBot if you need a private, multi-channel AI agent hub for task automation and want total control over data and costs (free). Choose Spider Cloud if your primary need is fast, reliable web scraping for RAG pipelines or AI agents — its Rust engine and pay-as-you-go model excel at high-volume data extraction.

Can CountBot scrape websites like Spider Cloud?

CountBot includes basic web browsing tools (e.g., screenshot, page fetch) but is not designed for high-scale web scraping. For large or complex scraping, you would need to integrate an external tool like Spider Cloud.

Does Spider Cloud support self-hosting?

Yes, Spider Cloud has an open-source core available on GitHub for self-hosting. However, advanced cloud features like AI extraction fallback and data connectors may not be available in the self-hosted version.

Which tool is better for building a Telegram AI assistant?

CountBot is better — it has native Telegram integration plus a full agent framework. Spider Cloud is a data API, not an assistant builder.

How much does Spider Cloud cost for 100k pages?

At $0.03 per 1,000 pages, 100k pages would cost about $3.00 (only successful requests are billed). Additional AI Studio features cost $6/month.

Does CountBot have any usage limits?

No, CountBot is free and open-source (MIT). You run it on your own infrastructure, so limits depend on your hardware and LLM API subscriptions.

Can I use Spider Cloud to crawl pages behind login?

Spider Cloud uses stealth techniques and rotating proxies to avoid detection, but it does not support session-based login. It may work for pages with simple cookies, but not for heavy authentication.

Which tool has better language support?

CountBot is optimized for Chinese (mainland IM channels, Chinese LLMs). Spider Cloud is English-first but works with any language content from web pages.

Can I integrate both CountBot and Spider Cloud?

Yes. You could use Spider Cloud as a tool within CountBot (via its command execution tool) to give your CountBot agent web-scraping capabilities.

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Last reviewed: July 3, 2026