ScrapeGraph MCP Server

Official ScrapeGraph MCP server providing AI-powered web scraping and structured data extraction — using LLMs to extract structured information from web pages without brittle CSS selectors.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Repo ↗ Data Processing scrapegraph web-scraping data-extraction ai-powered mcp-server official structured-data
⚙ Agent Friendliness
74
/ 100
Can an agent use this?
🔒 Security
73
/ 100
Is it safe for agents?
⚡ Reliability
70
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
74
Documentation
76
Error Messages
70
Auth Simplicity
90
Rate Limits
58

🔒 Security

TLS Enforcement
100
Auth Strength
72
Scope Granularity
45
Dep. Hygiene
75
Secret Handling
75

HTTPS enforced. No scope granularity. Scraped content should be treated as untrusted input in agent workflows.

⚡ Reliability

Uptime/SLA
72
Version Stability
72
Breaking Changes
70
Error Recovery
68
AF Security Reliability

Best When

An agent needs to extract structured information from web pages that don't have an API — turning unstructured HTML into clean, usable data.

Avoid When

The target site has an official API — use the API instead of scraping. Also avoid for sites with heavy JavaScript rendering that requires a real browser.

Use Cases

  • Extracting structured data from arbitrary web pages in agent workflows
  • Scraping product information, prices, and reviews at scale
  • Converting unstructured web content to structured JSON for agents
  • Research automation — extracting data from multiple sources
  • Competitive intelligence gathering from web sources

Not For

  • Sites with aggressive bot detection (results may be unreliable)
  • Real-time data requirements (scraping adds latency)
  • Sites prohibiting automated access in their ToS

Interface

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

Authentication

Methods: api_key
OAuth: No Scopes: No

Single API key. No scope granularity — full API access with one key.

Pricing

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

LLM-powered scraping has inherent per-request cost due to inference. More expensive than traditional scraping.

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • LLM-based extraction is non-deterministic — same URL may return different structures on retry
  • High latency (2-10 seconds per request) — budget time in agent workflows accordingly
  • Cannot scrape sites requiring JavaScript execution or login
  • Structured output schema must be defined in the request — agent must know desired output format
  • Rate limits not documented — avoid rapid sequential scraping to prevent bans
  • ToS compliance is the agent operator's responsibility — scraping consent varies by site

Alternatives

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

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