ghostfetch

name	ghostfetch
description	Stealthy web fetcher that bypasses anti-bot protections. Fetches content from sites like X.com and converts to clean Markdown for AI agents.
version	1.0.0
author	iArsalanshah
tags	["web-scraping","stealth","markdown","browser-automation","anti-bot-bypass"]

GhostFetch Skill

Fetch web content from sites that block AI agents. Uses a stealthy headless browser with advanced fingerprinting to bypass anti-bot protections and returns clean Markdown.

When to Use

• Fetching content from X.com/Twitter posts
• Reading articles from sites that block bots
• Extracting content from JavaScript-heavy sites
• Getting clean Markdown from any webpage for LLM consumption

Prerequisites

GhostFetch must be running as a service. Start it with:

# Option 1: If installed via pip
ghostfetch serve

# Option 2: Docker
docker run -p 8000:8000 iarsalanshah/ghostfetch

Usage

Synchronous Fetch (Recommended)

Use the /fetch/sync endpoint for simple, blocking requests:

curl "http://localhost:8000/fetch/sync?url=https://example.com"

Python

import requests

def ghostfetch(url: str, timeout: float = 120.0) -> dict:
    """
    Fetch content from a URL using GhostFetch.
    
    Returns:
        dict with 'metadata' and 'markdown' keys
    """
    response = requests.post(
        "http://localhost:8000/fetch/sync",
        json={"url": url, "timeout": timeout}
    )
    response.raise_for_status()
    return response.json()

# Example
result = ghostfetch("https://x.com/user/status/123")
print(result["markdown"])

With SDK

from ghostfetch import fetch

result = fetch("https://x.com/user/status/123")
print(result["metadata"]["title"])
print(result["markdown"])

Response Format

{
  "metadata": {
    "title": "Page Title",
    "author": "Author Name",
    "publish_date": "2024-01-15",
    "images": ["https://example.com/image.jpg"]
  },
  "markdown": "# Page Title\n\nPage content in clean Markdown..."
}

API Reference

POST /fetch/sync

Synchronous fetch - blocks until content is ready.

Request:

{
  "url": "https://example.com",
  "context_id": "optional-session-id",
  "timeout": 120
}

Response: See Response Format above.

GET /fetch/sync

Same as POST but via query parameters:

GET /fetch/sync?url=https://example.com&timeout=60

POST /fetch

Async fetch - returns job ID immediately, poll for results.

Request:

{
  "url": "https://example.com",
  "callback_url": "https://your-webhook.com/callback",
  "github_issue": 42
}

Response:

{
  "job_id": "abc123",
  "url": "https://example.com",
  "status": "queued"
}

GET /job/{job_id}

Check job status and get results.

GET /health

Health check endpoint.

Configuration

Set via environment variables when running the service:

Variable	Default	Description
SYNC_TIMEOUT_DEFAULT	120	Default timeout for sync requests (seconds)
MAX_SYNC_TIMEOUT	300	Maximum allowed timeout
MAX_CONCURRENT_BROWSERS	2	Concurrent browser contexts
MIN_DOMAIN_DELAY	10	Seconds between requests to same domain

Error Handling

Status Code	Meaning
200	Success
400	Invalid request (non-retryable error)
502	Fetch failed (retryable)
504	Request timeout

Tips

1. Use context_id for multi-step workflows - Sessions are persisted per context, maintaining cookies between requests.

2. Respect rate limits - GhostFetch has built-in domain delays. Don't bypass these.

3. Check metadata first - The structured metadata often has what you need without parsing Markdown.

Related Skills

• browser - General browser automation
• web_fetch - Simple HTTP fetching (for non-protected sites)