Ongrid 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

DimensionOngridSpider Cloud
Primary Use CaseInfrastructure troubleshooting & remediation from chatWeb crawling & scraping for AI agents / RAG
DeploymentSelf-hosted (Docker Compose, outbound-only connectivity)Cloud API (SaaS) + open-source core on GitHub
IntegrationsSlack, Telegram, Larksuite, DingTalk, WeCom, Prometheus, Grafana, Loki, Tempo, OpenTelemetry, QdrantLangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, Google Cloud Storage, Amazon S3, Supabase
Key Recent FeaturesNo recent news (stable as of last data)Browser AI commands (Act/Extract/Observe), scraper catalog (1,000+ examples), data connectors
Best ForDevOps/SRE teams with heterogeneous observability stacksAI agents & developers needing fast, cheap web data

Ongrid and Spider Cloud serve completely different purposes: Ongrid is an ops AI agent for troubleshooting infrastructure from chat, while Spider Cloud is a web scraping API for AI agents. Choose Ongrid if you need self-hosted incident response with query generation and remediation; choose Spider Cloud if you need cost-effective, reliable web data for RAG or LLMs.

Try OngridTry Spider Cloud
Ongrid
Ongrid

Ongrid is a self-hosted ops AI agent that finds incident root cause from Slack or Telegram using your live telemetry.

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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/mo
Contact sales
Custom
$1/GB + $0.0001/CPU-min
From $6/mo
From $40/mo
Custom
Popularity
27 views
7.5k views
Skill Level
Advanced
Intermediate
API Available
Platforms
CLIWeb
WebAPIPluginCLIDesktop
Categories
🚨 AIOps & Incident Response
🌐 Web Scraping & Search APIs🖱️ Browser & Computer-Use Agents
Features
Root cause analysis across metrics, logs, traces, topology, and source code
Generates and executes PromQL, LogQL, and TraceQL queries from chat
Chat-based incident troubleshooting in Slack, Telegram, Larksuite, DingTalk, and WeCom
Two-way channels with per-channel locale configuration
Webhook channel support for custom event sources
Read-only host probing via bash and host_probe_* skills
Around 26 audited skills plus custom runbooks
Expand topology graphs to add context to an answer
Evidence-backed answers grounded in live telemetry, not chat transcripts
Bring your own LLM: Anthropic, OpenAI, GLM, DeepSeek, Gemini, Kimi, or any OpenAI-compatible relay
One-liner install for Linux amd64/ARM64 (Ubuntu 22.04+, Debian 12+, RHEL 9, Rocky 9)
Self-hosted Docker Compose deployment bundling manager, MySQL, Prometheus, Loki, Tempo, Grafana, and Qdrant
Outbound-only geminio tunnel per host: zero open inbound ports, no jumpbox
Full audit trail for every agent action
Multi-environment and multi-region support
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
Slack
Telegram
Larksuite
DingTalk
WeCom
Prometheus
Grafana
Loki
Tempo
OpenTelemetry
Qdrant
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: Ongrid 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.

Ongrid

9 mentions across 3 sources · 12% positive — critical (averaged across 3 sources)

Hacker News, GitHub, Lemmy

What users praise

  • • Chat-native troubleshooting keeps teams in Slack/Telegram without context switching.
  • • Infrastructure-aware root cause analysis using live data from multiple cloud providers.
  • • Automated remediation via runbooks and scripts reduces manual intervention.
  • • Supports major cloud providers: AWS, Azure, GCP.

What frustrates them

  • • Core features like host_bash tool often fail to execute commands.
  • • Configuration UI has bugs where input fields disappear after ten seconds.
  • • Permission errors after adding nodes prevent monitoring from loading.
  • • Deployment in air-gapped environments fails due to Docker timeout.

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

  • Solo DevOps engineer with a complex observability stack
    Pick: Ongrid

    Ongrid integrates directly with Prometheus/Loki/Grafana and lets you troubleshoot via chat, reducing MTTR without needing to switch contexts.

  • Developer building an AI agent that needs real-time web data
    Pick: Spider Cloud

    Spider Cloud's API is built for AI agents, with structured output, Browser AI commands, and data connectors for RAG pipelines.

  • Platform engineering team wanting custom runbooks
    Pick: Ongrid

    Ongrid allows you to write custom runbooks for automated remediation, ideal for internal developer platforms.

  • SRE team needing mobile-friendly incident response
    Pick: Ongrid

    Works from Telegram/WeCom, so on-call engineers can respond from their phone without opening a laptop.

  • Team building a LLM-powered search tool
    Pick: Spider Cloud

    Spider Cloud's search endpoint and fast crawler (Rust engine) provide cost-effective, large-scale web data for indexing.

Frequently Asked Questions

Ongrid vs Spider Cloud: which should you choose?

Ongrid and Spider Cloud serve completely different purposes: Ongrid is an ops AI agent for troubleshooting infrastructure from chat, while Spider Cloud is a web scraping API for AI agents. Choose Ongrid if you need self-hosted incident response with query generation and remediation; choose Spider Cloud if you need cost-effective, reliable web data for RAG or LLMs.

Which tool is easier to get started with?

Spider Cloud is easier: sign up, get an API key, and start scraping. Ongrid requires self-hosting Docker Compose with multiple services and integrating your observability stack.

Can I use Ongrid without an existing Prometheus/Grafana setup?

No. Ongrid is designed to query Prometheus, Loki, Tempo, etc. Without these, it loses its core value.

Does Spider Cloud handle anti-bot protection?

Yes. It has a Browser Cloud with stealth anti-detection, an unblocker with rotating proxies, and an AI model for captcha solving.

Which tool supports teams in China?

Ongrid integrates with DingTalk and WeCom, which are popular in China. Spider Cloud does not list those integrations.

Can I self-host Spider Cloud?

Yes. Spider Cloud has an open-source core on GitHub, but the advanced features (AI Studio, unblocker) likely require the cloud version.

Do both tools support custom LLMs?

Ongrid supports bring-your-own LLM (Anthropic, OpenAI, Gemini, DeepSeek, etc.). Spider Cloud uses proprietary AI (Silk model) for extraction but does not let you bring your own LLM.

Which tool is better for on-call response?

Ongrid, because it lets you troubleshoot and fix infrastructure directly from chat, reducing MTTR.

Which tool is more cost-effective at high volume?

Spider Cloud's pay-per-page model ($0.03 per 1k pages) is extremely cheap at scale. Ongrid's cost depends on your self-hosting and LLM usage.

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Explore each tool further

Ongrid
View Ongrid reviewOngrid alternatives
Spider Cloud
View Spider Cloud reviewSpider Cloud alternatives

Browse these categories

Best AI AIOps & Incident Response toolsBest AI Web Scraping & Search APIs toolsBest AI Browser & Computer-Use Agents tools
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Last reviewed: July 3, 2026