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Overview

Integrating real-time search functionality into your application allows users to access the latest information. Ace Data Cloud’s SERP API provides structured data from Google Search, supporting various search types including web, images, and news.

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Services Involved

  • Google Search: POST https://api.acedata.cloud/serp/google

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Technical Solution

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Prerequisites

  1. Register an account at Ace Data Cloud
  2. Obtain an API Token
  3. Install Python 3.7+ and the requests library

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Implementation Steps

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Step 1: Configure Search Parameters

Set parameters such as query, type, language, country, etc.

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Step 2: Call the Search API

Initiate a search request using POST /serp/google.

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Step 3: Parse Search Results

Process the returned structured data to extract titles, links, summaries, and other information.

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Code Example

Below is a complete Python example using Google Search: 
import requests

API_TOKEN = "YOUR_API_TOKEN"

def call_serp():
    response = requests.post(
        "https://api.acedata.cloud/serp/google",
        headers={
            "Authorization": f"Bearer {API_TOKEN}",
            "Content-Type": "application/json",
        },
        json={
    "query": "artificial intelligence latest news",
    "type": "search",
    "number": 10,
    "language": "en",
    "country": "US"
},
    )
    return response.json()

result = call_serp()
print(result)

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Best Practices

  • Error Retry: Implement exponential backoff retries for 429 (rate limiting) and 5xx errors
  • Asynchronous Handling: For long-running tasks (image/video generation), use callback_url to receive results asynchronously
  • Cost Control: Monitor usage and expenses via the Ace Data Cloud console
  • Token Security: Store API Tokens in environment variables; avoid hardcoding them in code