Google AI Mode Scraper

Google AI Mode Scraper - A tool to scrape Google's AI Mode search results with a simple API. Get AI-generated answers, text blocks, references, shopping results, local results, and support for multi-turn conversations.

We provide the results in a structured JSON format, eliminating the need for parsing, coding, proxies, or any other web scraping headaches for developers.

How to scrape Google AI Mode?

Using a simple GET request, you can retrieve Google AI Mode results:

https://serpapi.com/search.json?engine=google_ai_mode&q=What+is+machine+learning&api_key=YOUR_API_KEY

• Register for free at SerpApi to get your API Key
• q parameter: defines the search query (same as regular Google search).
• subsequent_request_token parameter (optional): continues a multi-turn conversation.

Code examples

Here are some code examples based on your favorite programming languages.

cURL Integration

curl --get https://serpapi.com/search \
 -d engine="google_ai_mode" \
 -d q="What is machine learning" \
 -d api_key="secret_api_key"

Python Integration

Step 1: Create a new main.py file.

Step 2: Install requests package with:

pip install requests

Step 3: Add this code to your file:

import requests
SERPAPI_API_KEY = "YOUR_SERPAPI_API_KEY"

params = {
    "api_key": SERPAPI_API_KEY,
    "engine": "google_ai_mode",
    "q": "What is machine learning"
}

search = requests.get("https://serpapi.com/search", params=params)
response = search.json()
print(response)

If you're interested in the text_blocks, you can print them from the response directly:

print(response["text_blocks"])

For multi-turn conversations, use the subsequent_request_token:

# Continue the conversation
if "subsequent_request_token" in response:
    params["subsequent_request_token"] = response["subsequent_request_token"]
    params["q"] = "Can you give me an example?"

    follow_up = requests.get("https://serpapi.com/search", params=params)
    print(follow_up.json())

JavaScript Integration

Step 1: Install the SerpApi JavaScript package:

npm install serpapi

Step 2: Create a new index.js file.

Step 3: Add this to your file:

const { getJson } = require("serpapi");
getJson({
  api_key: API_KEY,
  engine: "google_ai_mode",
  q: "What is machine learning"
}, (json) => {
  console.log(json["text_blocks"]);

  // For follow-up questions, use subsequent_request_token
  if (json.subsequent_request_token) {
    console.log("Token for follow-up:", json.subsequent_request_token);
  }
});

Other Programming Languages

While you can use our APIs using a simple GET request with any programming language, you can also see our ready-to-use libraries here: SerpApi Integrations.

Google AI Mode Scraper Parameters

Please find the parameters for the Google AI Mode API below:

Name	Description	Requirement
q	Parameter defines the search query	Required
Localization
location	Parameter defines search origin point (city-level recommended)	Optional
gl	Parameter defines the two-letter country code (e.g., us, uk, fr)	Optional
hl	Parameter defines the two-letter language code (e.g., en, es, fr)	Optional
Conversation
subsequent_request_token	Parameter to continue a multi-turn conversation with prior context	Optional
Advanced
device	Parameter defines the device: desktop (default), tablet, or mobile	Optional
no_cache	Parameter to force fresh results	Optional

Visit our documentation for more information on all available parameters.

Available data on Google AI Mode (JSON Response)

Google AI Mode returns AI-generated responses with various content types:

{
  "text_blocks": [
    {
      "type": "String - Block type (paragraph, heading, list, table, code_block)",
      "snippet": "String - Text content",
      "reference_indexes": "Array - Indexes linking to references"
    }
  ],
  "references": [
    {
      "index": "Integer - Reference number",
      "title": "String - Source page title",
      "link": "String - URL to the source",
      "snippet": "String - Brief excerpt",
      "source": "String - Source website name"
    }
  ],
  "quick_results": "Object - Featured snippets and quick answers",
  "shopping_results": "Array - Product listings with prices",
  "local_results": "Array - Location-based businesses",
  "inline_images": "Array - Embedded images",
  "inline_videos": "Array - Embedded videos",
  "subsequent_request_token": "String - Token for continuing conversations"
}

Text block types include: paragraph, heading, list, table, code_block

Use cases

Here are some use cases for the Google AI Mode API:

• Build AI-powered search interfaces with conversational capabilities.
• Monitor how Google's AI responds to queries about your brand or products.
• Create research tools that leverage AI-generated summaries.
• Build chatbots that use Google's AI Mode for information retrieval.
• Track which sources Google's AI cites for SEO research.
• Create competitive intelligence tools analyzing AI responses.

Blog tutorial

• Scrape Google AI Mode - Scraping AI Answers for Generative Engine Optimization (GEO), SEO and More
• Find and Track Google's AI Mode Cited Sources

Contacts

Feel free to reach out via contact@serpapi.com.

Check other Google Scrapers from SerpApi.