Snapgrab

ํ๊ตญ์ด ๋ฌธ์ ยท llms.txt
URL to screenshot with metadata. Claude Vision optimized.
from snapgrab import capture
result = await capture("https://example.com")
print(result.path) # /tmp/snapgrab/example_com_desktop_20260317_120000.png
print(result.metadata.title) # "Example Domain"
print(result.vision_tokens) # ~2764
Features
- Screenshot capture โ PNG, JPEG, PDF with full-page support
- Page metadata โ title, description, Open Graph tags, favicon, HTTP status
- Claude Vision optimized โ auto-resize to 1568px, token cost estimation
- Viewport presets โ desktop (1920x1080), tablet (768x1024), mobile (375x812)
- MCP server included โ 3 tools for Claude Code / MCP clients
- Element capture โ screenshot specific CSS selectors
- Dark mode โ force light/dark color scheme
Install
First run will prompt to install Playwright browsers:
playwright install chromium
Usage
Python API
import asyncio
from snapgrab import capture
async def main():
# Basic screenshot
result = await capture("https://example.com")
# Mobile viewport, full page
result = await capture("https://example.com", viewport="mobile", full_page=True)
# Dark mode, JPEG format
result = await capture("https://example.com", dark_mode=True, format="jpeg")
# Specific element
result = await capture("https://example.com", selector="#main-content")
# Custom viewport
result = await capture("https://example.com", viewport=(1440, 900))
asyncio.run(main())
CLI
snapgrab https://example.com # basic PNG
snapgrab https://example.com -v mobile -f # mobile, full page
snapgrab https://example.com --format jpeg -q 90 # JPEG quality 90
snapgrab https://example.com -s "#hero" --dark-mode # element + dark mode
snapgrab https://example.com -j # JSON output
snapgrab meta https://example.com # metadata only
MCP Server
pip install "snapgrab[mcp]"
snapgrab-mcp # starts stdio MCP server
Tools:
capture_screenshot โ capture URL with metadata and vision token estimate
capture_comparison โ compare desktop vs mobile (or any viewports)
extract_page_metadata โ metadata only, no screenshot
How It Works
flowchart LR
A["๐ URL"] --> B["Playwright\nlaunch browser"]
B --> C["๐ธ Screenshot\nfull page / viewport"]
C --> D["Resize for\nClaude Vision"]
D --> E["โ
Image +\nMetadata"]
CaptureResult
result.path # saved file path
result.format # "png", "jpeg", "pdf"
result.width # viewport width
result.height # page height (full_page) or viewport height
result.file_size # bytes
result.vision_tokens # estimated Claude Vision token cost
result.vision_path # path to Vision-optimized image (โค1568px)
result.processing_time_ms
result.metadata.title
result.metadata.description
result.metadata.og_title
result.metadata.og_image
result.metadata.favicon_url
result.metadata.status_code
result.metadata.url # final URL after redirects
Used in
- watchdeck โ Web page monitoring with visual diffs and safety guards
License
MIT
Part of the QuartzUnit ecosystem โ composable Python libraries for data collection, extraction, search, and AI agent safety.