Rerun vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-08-23
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionRerunSpider Cloud
Primary UseMultimodal data layer for Physical AI/roboticsWeb crawling & scraping for AI agents
PricingFree 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 FeatureLog/query/visualize/train multimodal data, PyTorch dataloader, .rrd columnar formatRust engine, AI extraction, Browser AI commands, 1,000+ scraper examples
IntegrationHugging Face LeRobot, NVIDIA cuVSLAM, ROS2, Meta Project AriaLangChain, LlamaIndex, CrewAI, Flowise, AutoGen, cloud storage
Best ForRobotics teams building end-to-end learning pipelinesAI agents needing real-time web data for RAG
Open SourceFull 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.

Rerun
Rerun

Open-source data layer for Physical AI: log, query, transform, visualize, and train multimodal robotics data.

Visit Website
Spider Cloud
Spider Cloud

AI web scraping API that turns any site into markdown or JSON for AI agents, pay-as-you-go or flat-rate.

Visit Website
Pricing
Freemium
Freemium
Plans
$0
Contact us
$0
$1/GB
$40/mo
$6/mo
Popularity
3 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebDesktopAPICLI
WebAPICLI
Categories
🦾 Robotics & Physical AI👁️ Computer Vision📊 Data & Analytics
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Log multimodal data with Python, C++, or Rust SDK
Interactive viewer (desktop + web) with 2D, 3D, map, graph, tensor views
SQL and dataframe queries over recordings and catalog
Transform data with derived columns and schema evolution
Train directly via PyTorch dataloader from .rrd files or Hub streams
Store data as column-chunks in .rrd files for efficiency
Declarative visualization framework with blueprints
Byte-range indexing and retrieval from object storage (Hub)
Team collaboration with shared recordings and link sharing (Hub)
Open source SDK under Apache-2.0/MIT license
Web viewer for browser-based visualization
Chunk processing API for efficient data handling (0.32+)
Dataset review for exploring recordings (0.32+)
Viewer MCP server for AI agent integration (0.34+)
HDF5 data import and video chunk reader with FFmpeg support (0.35+)
Scrape any website into markdown or JSON
Full-site crawling at 100K+ pages/sec
SERP, scraping, and extraction in one Web Search API call
Silk custom AI model for HTML-to-structured-data and captcha solving
Browser Cloud with CDP control and AI commands via WebSocket
Supports HTML, raw, plain text, JSON, JSONL, CSV, and XML
Stealth browser layer to bypass anti-bot measures
1,000+ ready-made scraper examples across 32 categories
10,000 core API requests per minute by default
Flat-rate Unlimited plan and pay-as-you-go with no expiry
Rust engine for performance
Robots.txt compliance on by default, disable per-request
Native integrations for LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno
Integrations
Hugging Face LeRobot
DeepMind Brush
NVIDIA cuVSLAM
Meta Project Aria
ROS2
MCAP
HDF5
LangChain
LlamaIndex
CrewAI
FlowiseAI
AutoGen
Agno

What 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 pipeline
    Pick: 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 data
    Pick: 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 extractor
    Pick: 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 data
    Pick: 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-tuning
    Pick: 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.

More Rerun or Spider Cloud comparisons

Explore each tool further

Browse these categories

Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: July 3, 2026