Quivr vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Quivr | Spider Cloud |
|---|---|---|
| Pricing | Freemium | Freemium, AI Studio $6/mo add-on |
| Ease of Use | 5-line RAG setup, developer-focused | API with curl, AI Studio for natural language |
| Core Function | RAG framework for document Q&A | Web crawling/scraping API for AI agents |
| Data Sources | Local files (PDF, TXT, Markdown, etc.) | Live web pages, search queries |
| Output Formats | Vector embeddings, chat responses | Markdown, HTML, JSON, CSV, XML, plain text |
| Open Source | Full open-source (MIT) | Open-source core available |
Choose Quivr if you need to add document Q&A to your app fast with flexible LLM/vector store choices. Pick Spider Cloud if you need real-time web data for AI agents or RAG pipelines. They complement rather than compete: Quivr for local file ingestion, Spider Cloud for live web scraping.
AI web scraping API that turns any site into markdown or JSON for AI agents, pay-as-you-go or flat-rate.
Visit WebsiteWhat real users say: Quivr 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.
Quivr
6 mentions across 3 sources · 40% positive — mixed
Hacker News, Product Hunt, GitHub
What users praise
- • Five-line code setup for RAG integration is highly appealing for beginners.
- • Support for any LLM and vector store provides flexibility without vendor lock-in.
- • Open-source MIT license allows full customization for specific use cases.
- • Modular design lets users swap parsers, LLMs, or storage without rewrites.
What frustrates them
- • Setup process is buggy and lacks updated documentation for common Linux distros.
- • Critical issues like 'Cannot add Brain' remain unresolved for years.
- • Support response is slow or absent for open-source issues.
- • Product Hunt reception was very low (3 upvotes) indicating limited buzz.
Researched Jul 3, 2026
Spider Cloud
41 mentions across 2 sources · 10% positive — critical
YouTube, Lemmy
What users praise
- • One endpoint for scraping, crawling, search, and browser automation.
- • Converts sites to markdown, JSON, JSONL, CSV, XML—flexible outputs.
- • Rust engine and stealth browser claim strong anti-bot bypass.
- • Silk AI model handles captchas and HTML-to-structured data on GPUs.
What frustrates them
- • No real user reviews to validate performance or reliability.
- • Brand name confuses with Spider-Man, hurting discoverability.
- • Pricing details are vague—hidden costs may apply.
- • Learning curve for non-developers could be steep.
Researched Aug 18, 2026
Who should pick which
- Solo founder building a document Q&A botPick: Quivr
Quivr's 5-line RAG setup lets you quickly add Q&A to internal docs using local files, with flexibility to choose free LLMs like Mistral or Groq.
- AI agent developer needing real-time web dataPick: Spider Cloud
Spider Cloud's API with stealth anti-detection and AI extraction is built for agents that need live web context, with low $0.03/1k pages cost.
- RAG pipeline engineer combining internal + web dataPick: Spider Cloud
Spider Cloud's data connectors (S3, GCS, Supabase) and AI Studio make it easy to feed web data into existing RAG pipelines alongside local files from Quivr.
- Prototyper needing quick PoCPick: Quivr
Quivr's minimal setup and support for any LLM/vector store let you test RAG concepts fast without paying per request.
- Team scraping thousands of pages monthlyPick: Spider Cloud
Spider Cloud's usage-based pricing at $0.03/1k pages and unblocker with rotating proxies deliver reliable, cost-effective high-volume scraping.
Frequently Asked Questions
Quivr vs Spider Cloud: which should you choose?
Choose Quivr if you need to add document Q&A to your app fast with flexible LLM/vector store choices. Pick Spider Cloud if you need real-time web data for AI agents or RAG pipelines. They complement rather than compete: Quivr for local file ingestion, Spider Cloud for live web scraping.
Can Quivr scrape web pages?
Not natively. Quivr focuses on local files. You can add internet search as a tool, but it's not a web scraper.
Can Spider Cloud handle PDF files?
Spider Cloud crawls and scrapes web pages. For PDFs hosted online, it can download and extract text (via markdown or plain text).
Which is better for RAG?
It depends: Quivr for document Q&A from local files, Spider Cloud for retrieving live web data to augment RAG pipelines. They can work together.
Is either tool open-source?
Both: Quivr is fully open-source (MIT), Spider Cloud has an open-source core on GitHub.
Does Quivr support voice chatbots?
Yes, but via external integrations like Chainlit or Flask (examples provided).
Does Spider Cloud support real-time streaming?
No, it returns results after scraping. For real-time, you need WebSocket-based tools.
What is AI Studio in Spider Cloud?
A $6/mo add-on that lets you describe crawling tasks in natural language (e.g., 'extract all product prices').
Can I use my own LLM with Quivr?
Yes, Quivr supports OpenAI, Anthropic, Mistral, Gemma, Groq, and any LLM via integration.
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Last reviewed: July 3, 2026