Rerun vs Spider Cloud

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

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionRerunSpider Cloud
Primary UseMultimodal data layer for Physical AI/roboticsWeb crawling & scraping for AI agents
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
Rerun
Rerun

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

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Spider Cloud
Spider Cloud

Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.

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Pricing
Freemium
Freemium
Plans
$0
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
16 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebDesktopAPICLI
WebAPIPluginCLIDesktop
Categories
🦾 Robotics & Physical AI👁️ Computer Vision📊 Data & Analytics
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Log multi-rate, multimodal data from Python, Rust, and C++ SDKs
Interactive viewer on desktop and in the browser
2D, 3D, map, graph, tensor, text, and time-series views in one data model
Run SQL or dataframe queries into recording columns, time ranges, and values
Add derived columns and evolve schemas without breaking history
Store recordings as column-chunks in the columnar .rrd file format
Convert data in from other formats, including HDF5 and MCAP
Stream dataset mixes to GPUs with a column-aware PyTorch dataloader
Declarative blueprint layers for programmatic visualization
Extend the viewer with your own custom views and tools
Measurements archetype for scalar series (0.38.1)
Load local .rrd files through the Viewer catalog (0.38.1)
Control the viewer time cursor from Python (0.38.1)
Scrape a single page into markdown, JSON, HTML, raw text, or plain text
Crawl entire sites with each page streamed as one JSONL line in order the moment it finishes
Web search endpoint returns SERP results plus the scraped pages behind them in one call
Custom browser renders like a user: scripts run, lazy images load, infinite scroll completes
Unblocker loads protected pages through a real browser engine with geo checks and a 200
Browser Cloud runs full sessions with anti-detection and rotating exits
Send AI commands (Act, Extract, Observe) over the Browser API WebSocket
Send a prompt on a scrape or crawl request and get the named fields back as JSON
Two-phase AI extraction: a fast model for most pages, a stronger model for complex layouts
Provider router sends scrape and crawl requests to outside providers on your own keys
Data connectors pipe crawl results into S3, GCS, Google Sheets, Azure Blob, or Supabase
Proxy network with 215M+ residential and ISP exits in 199 countries, rotated per request
Requests stream back as they land, in order, without waiting for the last URL
MCP server at mcp.spider.cloud for Claude Code, Codex, Cursor, and Claude Desktop
1,000+ ready-made scraper examples across 32 categories, each with working code
Integrations
Hugging Face LeRobot
DeepMind Brush
NVIDIA cuVSLAM
Meta Project Aria
ROS 2
HDF5
MCAP
LangChain
LlamaIndex
CrewAI
FlowiseAI
Langflow
Dify
Agno
MCP
Claude Code
Codex
Cursor
Claude Desktop
Amazon S3
Google Cloud Storage
Google Sheets

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 (averaged across 4 sources)

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

No verifiable community signal. We scanned public discussion on Oct 7, 2026 and found posts matching the name “Spider Cloud”, but could not establish that they are about this product rather than something else sharing its name. Rather than publish a score built on the wrong subject, we publish none.

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

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