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Introduction

Google Search is a search service provided by Ace Data Cloud, offering a Google Search API. Through the unified API of Ace Data Cloud, you can quickly integrate Google Search using Python to achieve web search, image search, news search, map search, video search, and other functions.

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Prerequisites

  • Have an Ace Data Cloud account and obtain an API Token
  • Python 3.7 or above environment
  • Install the requests library: pip install requests

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Basic Usage

The main endpoint for calling the Google Search API is: 
POST https://api.acedata.cloud/serp/google
Complete Python code example: 
import requests

url = "https://api.acedata.cloud/serp/google"
headers = {
    "Authorization": "Bearer YOUR_API_TOKEN",
    "Content-Type": "application/json"
}
data = {
    "query": "artificial intelligence latest news",
    "type": "search",
    "number": 10,
    "language": "en",
    "country": "US"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()
print(result)
Please replace YOUR_API_TOKEN with the actual Token you obtained from the Ace Data Cloud platform.

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Response Handling

After a successful call, the API returns data in JSON format. It is recommended to check the HTTP status code: 
if response.status_code == 200:
    result = response.json()
    print("Call succeeded:", result)
else:
    print(f"Call failed, status code: {response.status_code}")
    print(response.text)

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Advanced Usage

For APIs that support asynchronous tasks, you can get results via a callback URL: 
data['callback_url'] = 'https://your-server.com/callback'
response = requests.post(url, headers=headers, json=data)
# Results will be pushed to your server via the callback URL

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Error Handling

Common error codes:
Status CodeDescription
401Authentication failed, please check API Token
403Insufficient balance or no access rights
429Request rate limit exceeded
500Internal server error

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Next Steps