ScrapeGraphAI vs Spider Cloud
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | ScrapeGraphAI | Spider Cloud |
|---|---|---|
| Core technology | Graph-based pipelines with large language models, supports structured extraction via prompts. | Rust engine, stealth anti-detection, AI extraction with Silk model, Browser AI via WebSocket. |
| Output formats | Markdown, HTML, JSON, screenshot, branding analysis. | Markdown, HTML, JSON, CSV, XML, plain text, screenshot. |
| Integrations | LangChain, CrewAI, LlamaIndex, Vercel AI SDK, LiteLLM, n8n, Zapier, Make.com, MCP. | LangChain, LlamaIndex, CrewAI, FlowiseAI, AutoGen, Agno, Dify, S3, GCS, Google Sheets, Azure Blob, Supabase. |
| Unique features | Workspaces, MCP server, social media scraping improvements, webhook monitoring. | 1,000+ scraper examples, data connectors, AI extraction fallback, unblocker endpoint. |
For AI agents and RAG pipelines needing ultra-low-cost, high-speed crawling at scale, Spider Cloud is the clear winner with its $0.03/1k pages and Rust engine. For developers who prefer natural language extraction and team collaboration, ScrapeGraphAI offers more flexibility with graph-based pipelines and workspace features. Consider your budget and technical approach: cost-efficiency vs prompt-driven ease.
ScrapeGraphAI turns plain-English prompts into structured JSON through a metered web-scraping API for developers and AI pipelines.
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Spider Cloud is a web scraping and crawling API that turns live pages into markdown or JSON for agents and RAG pipelines.
Visit WebsiteWhat real users say: ScrapeGraphAI 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.
ScrapeGraphAI
11 mentions across 1 sources · 75% positive (averaged across 1 source)
Hacker News
What users praise
- • AI-powered scraping eliminates brittle CSS/XPath selectors.
- • Natural language prompts make extracting structured data simple.
- • Graph-based pipeline adapts to dynamic, changing websites.
- • Integrates with LangChain, CrewAI, LlamaIndex, and automation tools.
What frustrates them
- • Only 11 Hacker News posts available; no independent community feedback.
- • Free tier provides only 500 one-time credits, insufficient for evaluation.
- • Paid plans start at $20/month, potentially expensive for light use.
- • Reliability at scale not independently verified.
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 founder building an AI agent with RAGPick: Spider Cloud
Low cost ($0.03/1k pages) and high success rate (99.9%) make it ideal for budget-conscious founders needing real-time web data for LLMs. The Rust engine ensures fast crawling.
- Data engineer automating web data extractionPick: ScrapeGraphAI
Graph-based pipelines and natural language prompts simplify extraction without writing selectors. Workspaces enhance team collaboration. Integrations with n8n and Zapier fit automation.
- Developer needing high-volume scraping for a productPick: Spider Cloud
Spider Cloud's 50k credits at $20/mo and unblocker endpoint handle large-scale scraping affordably. Data connectors pipe results directly to cloud storage.
- AI/ML developer using LangChain and CrewAIPick: Spider Cloud
Spider Cloud integrates with LangChain, CrewAI, LlamaIndex, etc. Its specific design for AI agents fits perfectly into RAG pipelines.
- Marketing team monitoring competitor sitesPick: ScrapeGraphAI
ScrapeGraphAI's monitoring feature with webhook notifications is ideal for tracking changes. Credit packs ensure predictable usage. Workspaces allow team collaboration.
Frequently Asked Questions
ScrapeGraphAI vs Spider Cloud: which should you choose?
For AI agents and RAG pipelines needing ultra-low-cost, high-speed crawling at scale, Spider Cloud is the clear winner with its $0.03/1k pages and Rust engine. For developers who prefer natural language extraction and team collaboration, ScrapeGraphAI offers more flexibility with graph-based pipelines and workspace features. Consider your budget and technical approach: cost-efficiency vs prompt-driven ease.
Which tool is cheaper for high-volume scraping?
Spider Cloud is significantly cheaper at ~$0.03 per 1,000 pages, with $20/mo for 50k credits. ScrapeGraphAI's Starter is $29/mo for 10k credits.
Can I use natural language to extract data?
Yes, both support natural language extraction. Spider Cloud has AI Studio ($6/mo) and Browser AI commands; ScrapeGraphAI uses graph-based LLM pipelines with prompt-based extraction.
Do they offer team collaboration?
ScrapeGraphAI offers Workspaces (v3.4.0) for team collaboration. Spider Cloud's plans are individual-focused; team features are not explicitly listed.
Which tool has better anti-bot capabilities?
Spider Cloud includes stealth anti-detection, rotating proxies, and an unblocker endpoint. ScrapeGraphAI has a stealth mode that adds 5 credits per use.
Can I self-host either tool?
Spider Cloud has an open-source core on GitHub for self-hosting. ScrapeGraphAI is cloud-only as of now, with no self-host option.
What output formats do they support?
Spider Cloud supports markdown, HTML, JSON, CSV, XML, plain text, and screenshots. ScrapeGraphAI supports markdown, HTML, JSON, screenshots, and branding analysis.
Do they integrate with LangChain?
Yes, both integrate with LangChain, LlamaIndex, and CrewAI. Spider Cloud additionally integrates with FlowiseAI, AutoGen, Agno, Dify; ScrapeGraphAI integrates with Vercel AI SDK, LiteLLM, n8n, Zapier, Make.com, and MCP.
What's the latest major update?
Spider Cloud recently added Browser AI commands (Act, Extract, Observe) and data connectors. ScrapeGraphAI released Workspaces (v3.4.0) and improved social media scraping (v3.3.4).
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Last reviewed: July 3, 2026