Search & Maps

Google Images API

Image results with source pages, dimensions and thumbnails.

Start freePOST https://app.irmu.com/api/extract12 credits

Why

Why teams scrape Google Images

Google Images holds some of the most commercially useful public data on the web, and almost none of it is available through a stable official feed at the volume real products need. Rate limits, partner-only access and shifting page structures mean teams either give up on the source or maintain a fragile scraper that breaks every few weeks.

Image search is the fastest route to visual datasets, counterfeit detection and reverse-attribution work, but bulk collection is exactly what the interface is built to prevent.

Irmu removes the infrastructure question entirely. One authenticated request handles proxy selection, browser rendering, anti-bot challenges and retries, and AI Extract turns the resulting page into validated JSON against a schema you define. You get image_url, thumbnail, source_page, title, dimensions, domain without writing or maintaining a single selector, and the same endpoint, quota and observability model you already use for every other source.

Use cases

What it powers

Counterfeit detection
Find unauthorized uses of your product imagery.
Visual dataset building
Collect labelled image sets for model training.
Brand asset audits
Check which images rank for your brand terms.
Creative research
Survey visual conventions in a category.

Data

Fields available

Everything below comes back typed and validated against your schema.

image_url

Full-resolution image URL

thumbnail

Thumbnail URL

source_page

Page hosting the image

title

Image title text

dimensions

Width and height

domain

Source domain

Request

One call, no selectors

request.sh

curl -X POST https://app.irmu.com/api/extract \
  -H "Authorization: Bearer irmu_sk_live_..." \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://www.google.com/search?tbm=isch&q=modern+kitchen",
    "schema": {
      "image_url": "string",
      "thumbnail": "string",
      "source_page": "string",
      "title": "string",
      "dimensions": "string",
      "domain": "string"
    }
  }'

Response

Validated JSON

response.json

{
  "data": {
    "image_url": "https://cdn.example.com/kitchen.jpg",
    "source_page": "https://example.com/kitchens",
    "dimensions": "1920x1080"
  },
  "credits_used": 12,
  "status": 200
}

SDKs

Copy, paste, ship

import requests

res = requests.post(
    "https://app.irmu.com/api/extract",
    headers={"Authorization": "Bearer irmu_sk_live_..."},
    json={
        "url": "https://www.google.com/search?tbm=isch&q=modern+kitchen",
        "schema": {
            "image_url": "string",
            "thumbnail": "string",
            "source_page": "string",
            "title": "string"
        },
    },
)

data = res.json()["data"]
print(data)

Pricing

Simple credits

Per result set page

12 credits

Failed requests are retried automatically and never billed.

See full pricing →

FAQ