ScrapeGraph MCP Server (Official)

Official ScrapeGraph MCP server from ScrapeGraphAI enabling AI agents to perform AI-powered web scraping — extracting structured data from web pages using LLMs, searching and scraping content intelligently, handling JavaScript-rendered pages, and integrating ScrapeGraph's AI-driven web extraction into agent-driven data collection and web research workflows.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ Search scrapegraph web-scraping ai-scraping mcp-server official llm-scraping structured-extraction
⚙ Agent Friendliness
74
/ 100
Can an agent use this?
🔒 Security
76
/ 100
Is it safe for agents?
⚡ Reliability
70
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
73
Documentation
78
Error Messages
72
Auth Simplicity
82
Rate Limits
65

🔒 Security

TLS Enforcement
100
Auth Strength
72
Scope Granularity
65
Dep. Hygiene
72
Secret Handling
72

HTTPS enforced. API key auth. GDPR. Official ScrapeGraphAI MCP. Protect API key. Respect web scraping ToS and robots.txt.

⚡ Reliability

Uptime/SLA
70
Version Stability
70
Breaking Changes
70
Error Recovery
68
AF Security Reliability

Best When

An agent needs to extract structured data from web pages intelligently — especially dynamic/complex pages where traditional scrapers fail and LLM-guided extraction helps.

Avoid When

You need simple static HTML parsing (use BeautifulSoup), or if you're scraping sites that prohibit it — ScrapeGraph adds AI overhead for basic scraping tasks.

Use Cases

  • Extracting structured data from web pages using AI from data collection agents
  • Scraping JavaScript-rendered content with intelligent extraction from research agents
  • Searching and extracting product information from e-commerce monitoring agents
  • Collecting news and article content from media monitoring agents
  • Extracting data from complex web forms and tables from data pipeline agents
  • Building web-based datasets for analysis from data science agents

Not For

  • Teams using Puppeteer or Playwright for basic browser automation (different purpose)
  • Sites that explicitly prohibit scraping (always respect robots.txt and ToS)
  • High-volume scraping requiring separate proxy infrastructure

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
Yes
SDK
Yes
Webhooks
No

Authentication

Methods: api_key
OAuth: No Scopes: No

ScrapeGraph API key from ScrapeGraph dashboard. Single API key for all scraping operations. LLM API key (OpenAI, Anthropic, etc.) may also be required depending on deployment mode.

Pricing

Model: usage-based
Free tier: Yes
Requires CC: No

ScrapeGraph has open source (self-hosted) and cloud API options. Cloud API uses credit-based pricing. LLM costs add up for AI-powered extraction. Official MCP from ScrapeGraphAI.

Agent Metadata

Pagination
none
Idempotent
Partial
Retry Guidance
Not documented

Known Gotchas

  • LLM-powered extraction has non-deterministic output — same URL may return different structure
  • Latency is high (2-10s) due to LLM processing — not suitable for real-time applications
  • Credit consumption varies by page complexity — hard to predict cost per extraction
  • Sites with bot detection will block scraping regardless of AI approach
  • robots.txt and ToS must be respected — AI scraping doesn't exempt from legal requirements
  • Official ScrapeGraphAI MCP — newer project, API may evolve

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Scores are editorial opinions as of 2026-03-07.

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