Google Search API & Reader API (Web to Text) for AI Agents

import requests

headers = {
    "Authorization": "Bearer YOUR_KEY",
    "Content-Type": "application/json"
}

# 1. Search Google (SERP API)
search_resp = requests.post(
    "https://www.searchcans.com/api/v1/search",
    headers=headers,
    json={
        "s": "AI Agents",  # Search query
        "t": "google",     # Engine type
        "d": 20000         # 20s server timeout
    },
    timeout=30             # 30s client timeout
)

# Get the first URL result
first_url = search_resp.json()['data'][0]['url']

# 2. Extract Content (Reader API)
reader_resp = requests.post(
    "https://www.searchcans.com/api/v1/url",
    headers=headers,
    json={
        "s": first_url,    # Source URL
        "t": "url",
        "w": 3000          # Wait 3s for JS (use 5000ms+ for heavy sites)
    },
    timeout=30             # 30s client timeout
)

# Output clean LLM-ready Markdown
print(reader_resp.json()['data']['markdown'])