Google Images Scraper

Google Images results by keyword: full-size image URL, title, source site, and rank.

For marketers, designers, and dataset builders. Every run tells you plainly what worked and what did not: no silent empty runs.

What you can do with it

• Visual research: collect the top images for a product or brand.
• Brand checks: see which sites show your product images.
• Dataset building: gather image URLs with their source domain.

What you get

Field	What it is	Example
query	The search term that produced this row.	adidas sneakers
type	image or error.	image
position	1-based rank in this Actor's list.	1
page	Google Images page number.	1
title	Image caption or source-page title.	adidas Campus 00s Shoes Black 5.5 - Womens Originals
imageUrl	Full-size image file URL hosted by the source site.	https://assets.adidas.com/images/w_500,f_auto,q_auto/5f86628df69449a8…
sourceUrl	Link to the page that shows the image. Usually a Google redirect link that opens the source page.	https://www.google.com/goto?url=CAEScQHrOzAV_uPUkoKlFsQrleg53zvRHX54d…
domain	Host of the source page.	Adidas
rankOrganic	Rank within the image list.	1
rankOverall	Rank among mixed listings on the page.	1

Examples come from a real run. Every row has every field; a value the page did not show is null, never guessed.

One query on page 1 gave 100 images in our tests.

How to use it

1. Click Try for free (or Start) on this page.
2. Enter one search query per line in the first field. The form is prefilled with a working example.
3. Optional: set Max results and the other options.
4. Click Start. Open the Output tab, or export JSON, CSV, Excel, or HTML.

Example input

{
  "queries": [
    "adidas sneakers"
  ],
  "pages": 1,
  "maxResults": 3
}

Example output

One real row from a run on 17 October 2026 (long values shortened here):

{
  "query": "adidas sneakers",
  "type": "image",
  "position": 1,
  "page": 1,
  "title": "adidas Campus 00s Shoes Black 5.5 - Womens Originals",
  "imageUrl": "https://assets.adidas.com/images/w_500,f_auto,q_auto/5f86628df69449a88ab4522cf5d4bc34_faec/Campus_00s_Shoes_Black_JP9163_db01_00_standard.jpg",
  "sourceUrl": "https://www.google.com/goto?url=CAEScQHrOzAV_uPUkoKlFsQrleg53zvRHX54d_EdS_bszCRI7ykApFAjNNxYAZgnaymska-mwnB7ELomJOEyd1zG99Gj8X3MDspXvRUSyatLRuLqjaNzFrLLyrtvm…",
  "domain": "Adidas",
  "rankOrganic": 1,
  "rankOverall": 1
}

Pricing

Pay per result: $2.00 per 1,000 rows, plus $0.001 per run start. No subscription.

Event	When	Price
Actor start	Once per run (per GB of memory; the default 256 MB counts as one)	$0.001
Result row	Each row saved to the dataset	$0.002

Example	Rows	Cost
10 images	10	$0.001 + $0.02 = $0.021
100 images	100	$0.001 + $0.20 = $0.201
1,000 images	1,000	$0.001 + $2.00 = $2.001

• Retries after a bot check or a temporary error cost you nothing. You pay only for rows saved.
• An input that fails after all retries saves one error row (one row charge), so you can see what failed and why.
• Set Max total charge per run in the run options. The Actor stops cleanly at that limit and keeps every row saved so far.

What you can count on

• Same columns on every row. Missing values are null, so spreadsheets and databases never break.
• No silent failures. An input that fails gets an error row with errorCode and a plain-language errorMessage. The other inputs keep running.
• A clear run summary. The run status says how many results were saved, how many inputs failed, and why. The same numbers are saved as the RUN_SUMMARY record in the run's key-value store, for automations.
• Automatic retries. Bot checks and temporary errors are retried with a fresh request before an input counts as failed.
• Limits respected. Max results and your spending limit stop the run cleanly.

Use it from code, automations, and AI agents

API (returns the rows when the run finishes):

curl -X POST "https://api.apify.com/v2/acts/datacortex~google-images-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["adidas sneakers"], "pages": 1, "maxResults": 3}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datacortex/google-images-scraper").call(run_input={"queries": ["adidas sneakers"], "pages": 1, "maxResults": 3})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)

JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('datacortex/google-images-scraper').call({"queries": ["adidas sneakers"], "pages": 1, "maxResults": 3});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

No-code: connect the Actor in Make, Zapier, n8n, or Google Sheets through Apify's integrations, or add a webhook to get notified when a run finishes.

AI agents (MCP): add https://mcp.apify.com?tools=datacortex/google-images-scraper to Claude, Cursor, or any MCP client. The agent can call this Actor as a tool with the same input as above.

Limitations

• sourceUrl is usually a Google redirect link. It opens the source page in a browser.
• Image files are not downloaded; you get the URL.
• Check image rights before you reuse an image.

FAQ

What does an error row mean? It marks an input that failed after retries. errorCode is short (blocked, empty_result, not_available, http_404, or invalid_... for a bad ID or URL) and errorMessage says what to do. Remove error rows with a filter on type.

Can I run it on a schedule? Yes. Create a task with your input in Apify Console, then add a schedule (for example every day at 8:00).

Is it legal to collect this data? The Actor reads public pages that anyone can open without logging in. You are responsible for how you use the data, including copyright, personal data rules such as GDPR, and the site's terms. If you are not sure, ask a lawyer.

Related Actors

• Google Search Scraper: Google search results as rows.
• Google Shopping Scraper: Google Shopping results by keyword.
• Google Videos Scraper: Google video results by keyword.

Support

Found a problem or need a field? Open an issue on the Issues tab. Include the run ID and one input that shows the problem. We read every issue.