Mira vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Mira | Spider Cloud |
|---|---|---|
| Primary Function | Self-hosted AI code review for GitHub PRs | Web crawling, scraping, and search API |
| Pricing | Free and open-source (self-hosted, pay only for LLM API costs) | Freemium (usage-based, credits; free tier up to 1000 pages) |
| Deployment | Self-hosted (Docker, requires own infrastructure) | Cloud API (managed) + open-source self-host option |
| Key Integrations | GitHub, OpenRouter, Slack, Teams, SQLite, PostgreSQL | LangChain, LlamaIndex, CrewAI, Google Cloud Storage, Amazon S3, Supabase |
| Latest News Impact | v0.4.0 adds exclude patterns for indexing, file-size limit, better error handling; v0.3.1 adds review reasoning effort settings and custom model registry | Browser AI commands (Act, Extract, Observe) via WebSocket + scraper catalog with 1000+ examples; data connectors to S3/GCS/Sheets/Azure Blob/Supabase |
| Best For | Engineering teams wanting private, customizable AI code review on GitHub | AI agents and RAG pipelines needing real-time web data extraction |
These tools serve completely different functions: Mira is for AI-powered code review on GitHub (self-hosted, free), while Spider Cloud is for web crawling and scraping (SaaS API, freemium). Choose Mira if you need automated PR review with full control over data and privacy; choose Spider Cloud if you're building AI agents or RAG systems that need fresh web content. They are not direct competitors but complementary tools for different stages of development.

Self-hosted open-source AI code reviewer that indexes your repo and works with any LLM.
Visit Website
AI web scraping API: crawl, scrape, search any site into markdown or JSON at 10k req/min.
Visit WebsiteWhat real users say: Mira 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.
Mira
86 mentions across 6 sources · 40% positive — mixed
Hacker News, YouTube, Product Hunt, App Store, GitHub, Lemmy
What users praise
- • Full-repo indexing gives project-wide context, not just a diff.
- • Bring-your-own-LLM: pay providers directly, no markup.
- • Fully open-source and self-hosted; complete data control.
- • Severity and confidence scoring helps triage review comments.
What frustrates them
- • Setup requires Docker and DevOps knowledge; not turnkey.
- • Documentation is sparse for advanced setups like Postgres.
- • GitHub Actions integration requires manual webhook setup.
- • Learning loop's quarantine can hide valid findings.
Researched Aug 27, 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 engineering team using GitHubPick: Mira
Mira is self-hosted, so code never leaves your infrastructure. It's free and open-source, with full-repo indexing and custom rules, perfect for teams that cannot send code to third-party APIs.
- AI agent developer needing real-time web dataPick: Spider Cloud
Spider Cloud provides a fast web crawling API with AI extraction, Browser AI commands, and direct integrations with LangChain/LlamaIndex, ideal for RAG pipelines and agent tools.
- Solo developer wanting free code review botPick: Mira
Mira is free and open-source. You can deploy it yourself and use any LLM. It provides comprehensive PR reviews with vulnerability scanning, no paid tiers.
- Team building a scraper catalog for e-commercePick: Spider Cloud
Spider Cloud offers 1000+ ready-made scraper examples across 32 categories, plus data connectors to S3/Sheets. Its Rust engine handles high volume at low cost.
- Organization needing dependency impact analysisPick: Mira
Mira's blast-radius analysis and dependency graph give insight into how symbol changes affect the codebase, essential for large repos.
Frequently Asked Questions
Mira vs Spider Cloud: which should you choose?
These tools serve completely different functions: Mira is for AI-powered code review on GitHub (self-hosted, free), while Spider Cloud is for web crawling and scraping (SaaS API, freemium). Choose Mira if you need automated PR review with full control over data and privacy; choose Spider Cloud if you're building AI agents or RAG systems that need fresh web content. They are not direct competitors but complementary tools for different stages of development.
Can I use Mira without self-hosting?
No, Mira is self-hosted only. You must deploy it on your own infrastructure using Docker. There is no cloud SaaS version.
Does Spider Cloud support self-hosting?
Yes, Spider Cloud's core is open-source on GitHub and can be self-hosted. But the cloud API offers managed scalability and features like AI Studio.
What LLMs does Mira support?
Mira supports any LLM via OpenRouter, plus direct integrations with Anthropic, OpenAI, Google, DeepSeek, MiniMax. Custom models can be added via MIRA_MODELS_JSON_PATH.
Does Spider Cloud offer a free tier?
Yes, Spider Cloud provides 1000 free pages/month. After that, it's $0.003 per page, and failed requests are not billed.
Can Mira review PRs on GitLab or Bitbucket?
No, Mira currently supports GitHub only. It runs as a GitHub App.
What output formats does Spider Cloud support?
Spider Cloud outputs markdown, HTML, JSON, CSV, XML, and plain text. It also supports screenshot capture and link extraction.
Is Mira updated frequently?
Yes, recent updates include v0.4.0 (exclude patterns, file-size limit) and v0.3.1 (reasoning effort, custom models). The project is actively maintained.
Can Spider Cloud handle JavaScript-heavy sites?
Yes, Spider Cloud uses a Browser Cloud with stealth anti-detection and supports Browser AI commands to interact with dynamic content.
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Last reviewed: July 3, 2026