Rerun vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Rerun | Spider Cloud |
|---|---|---|
| Primary Use | Multimodal data layer for Physical AI/robotics | Web crawling & scraping for AI agents |
| Pricing | Free open-source SDK + Hub commercial cloud (usage-based) | Free tier + pay-as-you-go ($0.03/1k pages); AI Studio $6/mo add-on |
| Key Feature | Log/query/visualize/train multimodal data, PyTorch dataloader, .rrd columnar format | Rust engine, AI extraction, Browser AI commands, 1,000+ scraper examples |
| Integration | Hugging Face LeRobot, NVIDIA cuVSLAM, ROS2, Meta Project Aria | LangChain, LlamaIndex, CrewAI, Flowise, AutoGen, cloud storage |
| Best For | Robotics teams building end-to-end learning pipelines | AI agents needing real-time web data for RAG |
| Open Source | Full SDK open source (Apache-2.0/MIT) | Core open source on GitHub |
Spider Cloud and Rerun serve completely different domains: Spider Cloud excels at fast, cost-effective web crawling for AI agents and RAG pipelines, while Rerun is purpose-built for robotics teams logging and training on multimodal sensor data. Choose Spider Cloud if your need is real-time web data extraction; choose Rerun if you're building Physical AI systems.

Open-source data layer for Physical AI: log, query, transform, visualize, and train multimodal robotics data.
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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: Rerun 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.
Rerun
45 mentions across 4 sources · 57% positive — mixed
Hacker News, App Store, GitHub, Lemmy
What users praise
- • Unified data pipeline from logging to training in one tool.
- • Open-source SDK with permissive Apache-2.0/MIT license.
- • Efficient columnar storage for high-dimensional time-series data.
- • Interactive 2D/3D viewer ideal for robot sensor data.
What frustrates them
- • Over 1300 open GitHub issues signal reliability concerns.
- • Steep learning curve for beginners and non-robotics users.
- • Limited community discussion outside GitHub and niche forums.
- • Hub pricing not transparent; potential for unexpected costs.
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
- AI agent developer building RAG pipelinePick: Spider Cloud
Spider Cloud provides real-time web scraping with structured output and integrations with LangChain and LlamaIndex, making it ideal for ingesting web data into retrieval-augmented generation workflows.
- Robotics researcher logging sensor dataPick: Rerun
Rerun's SDKs log multimodal, multi-rate data from sensors, and its viewer and dataloader enable visualization and training directly from logged recordings, purpose-built for robotics.
- E-commerce data extractorPick: Spider Cloud
The scraper catalog with 1,000+ examples and structured output in JSON/CSV make Spider Cloud efficient for extracting product data at scale.
- Physical AI team training on multimodal dataPick: Rerun
Rerun's unified data layer handles logging, querying, transformation, and training, enabling end-to-end pipelines from sensor collection to model training.
- Data scientist needing web data for LLM fine-tuningPick: Spider Cloud
Spider Cloud's search endpoint and AI extraction provide clean text/markdown for building training datasets, with cost-effective pricing.
Frequently Asked Questions
Rerun vs Spider Cloud: which should you choose?
Spider Cloud and Rerun serve completely different domains: Spider Cloud excels at fast, cost-effective web crawling for AI agents and RAG pipelines, while Rerun is purpose-built for robotics teams logging and training on multimodal sensor data. Choose Spider Cloud if your need is real-time web data extraction; choose Rerun if you're building Physical AI systems.
Can Spider Cloud handle JavaScript-heavy websites?
Yes, Spider Cloud offers a Browser Cloud with stealth anti-detection and Browser AI commands via WebSocket to interact with dynamic pages.
Does Rerun support real-time data streaming?
Rerun Hub supports streaming dataset mixes to GPUs, and the SDK can log data in real-time for visualization and training.
What integrations does Spider Cloud have with AI frameworks?
Spider Cloud integrates with LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, and Dify.
How does Rerun handle large multimodal datasets?
Rerun uses column-chunk storage in .rrd files for efficient queries and byte-range indexing from object storage via Hub.
Is Spider Cloud suitable for scraping at scale?
Yes, with a Rust engine, rotating proxies, and cost of $0.03 per 1k pages, it's designed for high-volume scraping.
Can I use Rerun without the cloud Hub?
Yes, the SDK is fully open source and can be used locally; Hub is optional for scaling and collaboration.
Does Spider Cloud offer a free tier?
Yes, Spider Cloud has a free tier with limited usage; failed requests are not billed.
What file formats does Rerun export to?
Rerun exports to .rrd files and supports MCAP for ROS2 integration.
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Last reviewed: July 3, 2026