Google Images Scraper

Google Images Scraper - A tool to scrape Google Images search results with a simple API. Get image information like URLs, dimensions, source, title, and more.

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 Images?

Using a simple GET request, you can retrieve Google Images search results:

https://serpapi.com/search.json?engine=google_images&q=Coffee&api_key=YOUR_API_KEY

• Register for free at SerpApi to get your API Key
• q parameter: defines the search query you want to search on Google Images.
• gl parameter (optional): defines the country code for localized results.

Code examples

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

cURL Integration

curl --get https://serpapi.com/search \
 -d engine="google_images" \
 -d q="Coffee" \
 -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_images",
    "q": "coffee"
}

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

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

print(response["images_results"])

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_images",
  q: "coffee"
}, (json) => {
  console.log(json["images_results"]);
});

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 Images Scraper Parameters

Please find the parameters for the Google Images API below:

Name	Description	Requirement
q	Parameter defines the search query. Supports advanced operators like inurl:, site:, intitle:	Required
Localization
location	Parameter defines the search origin location	Optional
google_domain	Parameter defines the Google domain to use. Defaults to google.com	Optional
gl	Parameter defines the two-letter country code	Optional
hl	Parameter defines the two-letter language code	Optional
Filters
imgar	Parameter defines aspect ratio: s (square), t (tall), w (wide), xw (panoramic)	Optional
imgsz	Parameter defines image size filters: l (large), m (medium), i (icon)	Optional
image_color	Parameter defines color filtering: bw, red, blue, etc.	Optional
image_type	Parameter defines type filters: face, photo, clipart, lineart, animated	Optional
safe	Parameter defines adult content filtering: active or off	Optional
Time Period
period_unit	Parameter defines time unit: s, n, h, d, w, m, y	Optional
period_value	Parameter defines duration value	Optional
Pagination
ijn	Parameter defines the page number (0-99)	Optional
Advanced
device	Parameter defines the device: desktop (default), tablet, or mobile	Optional

Visit our documentation for more information on all available parameters.

Available data on Google Images (JSON Response)

Google Images can return different information from time to time. Here is what the images_results array may contain:

 "images_results": [
    {
      "position": "Integer - Position of the image in results",
      "thumbnail": "String - URL to the thumbnail preview",
      "original": "String - URL to the full-resolution image",
      "original_width": "Integer - Width of the original image",
      "original_height": "Integer - Height of the original image",
      "title": "String - Image title/description",
      "source": "String - Source website domain",
      "link": "String - URL to the source webpage",
      "is_product": "Boolean - Whether the image is a product",
      "related_content_id": "String - ID for fetching related images",
      "license_details_url": "String - URL to license information"
    }
  ],

The API response also includes:

• shopping_results: Product listings with prices and ratings
• suggested_searches: Filter suggestions with thumbnails
• related_searches: Query variations with highlighted keywords
• serpapi_pagination: Navigation links for result pages

Use cases

Here are some use cases for the Google Images API:

• Build image dataset creators for machine learning projects.
• Create visual content research tools for marketing and design.
• Monitor brand images and logos across the web.
• Build reverse image search applications.
• Create wallpaper or stock photo aggregation tools.
• Research visual trends for content strategy.

Blog tutorial

• How to Scrape Google Images Results
• Scrape and download Google Images with Python
• Web Scraping Google Images with Nodejs

Interesting use cases:

• Open Source AI Image Classifier with Automatic Dataset Creator
• Scrape Google Images to Create Custom Database with SerpApi
• Get images you can (legally) use without any charge

Video tutorial

• Web scraping Google Images with Python and simple API (+ export to CSV)

Contacts

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

Check other Google Scrapers from SerpApi.