Ongrid vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Ongrid | Spider Cloud |
|---|---|---|
| Pricing | Contact sales (self-hosted, bring your own LLM) | Freemium (pay-per-use, ~$0.03/1k pages; $6/mo for AI Studio add-on) |
| Primary Use Case | Infrastructure troubleshooting & remediation from chat | Web crawling & scraping for AI agents / RAG |
| Deployment | Self-hosted (Docker Compose, outbound-only connectivity) | Cloud API (SaaS) + open-source core on GitHub |
| Integrations | Slack, Telegram, Larksuite, DingTalk, WeCom, Prometheus, Grafana, Loki, Tempo, OpenTelemetry, Qdrant | LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, Google Cloud Storage, Amazon S3, Supabase |
| Key Recent Features | No recent news (stable as of last data) | Browser AI commands (Act/Extract/Observe), scraper catalog (1,000+ examples), data connectors |
| Best For | DevOps/SRE teams with heterogeneous observability stacks | AI 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.

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: 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
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
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 DevOps engineer with a complex observability stackPick: 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 dataPick: 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 runbooksPick: Ongrid
Ongrid allows you to write custom runbooks for automated remediation, ideal for internal developer platforms.
- SRE team needing mobile-friendly incident responsePick: Ongrid
Works from Telegram/WeCom, so on-call engineers can respond from their phone without opening a laptop.
- Team building a LLM-powered search toolPick: 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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Last reviewed: July 3, 2026