Google Image Search scraper in n8n

Run a Google Images search and get back full-resolution image URLs with dimensions, thumbnails, source page titles, and the web page each image came from.

What this workflow does

Import it and n8n runs the Google Image Search Results & Metadata Scraper Actor on Apify every day at 08:00 with the starter input below. Each row comes back with engine, url type, title, source domain and 25 more. A Google Sheets append is included and stays off until you add your sheet. The only credential it needs is your Apify API token.

Read from the workflow file, built for Google Image Search Results & Metadata Scraper version 2.1.1. Updated 2026-11-14.

How the rows travel

6 nodes, in the order n8n runs them. The yellow stop is the call to the Apify Actor; the dashed stop is optional.

  1. Daily trigger Schedule trigger
  2. Configure input Code
  3. Run Apify Actor HTTP Request
  4. Normalize + dedupe Code
  5. Rows ready No operation
  6. Google Sheets (optional) Google Sheets, off until you switch it on

Input

The Configure input node holds the starter input. Change it there; every setting the Actor accepts is listed below.

{
  "queries": [
    "Alfons Mucha"
  ],
  "maxResults": 25
}
Input settings of Google Image Search Results & Metadata Scraper
SettingTypeRequiredDefaultWhat it does
queries array No – One or more image search queries. Each query is searched independently. Google operators such as site:, quoted phrases and -exclusions are passed through.
maxResults integer No 100 Maximum number of image rows to return for each query. Google Images usually runs out around 300-400 results for a query; this is a ceiling, not a guarantee.
minWidth integer No 0 Drop images narrower than this many pixels. Rows without published dimensions are dropped when this is set. 0 disables the filter.
minHeight integer No 0 Drop images shorter than this many pixels. Rows without published dimensions are dropped when this is set. 0 disables the filter.
country string No US Two-letter country used for Google's gl parameter (and Bing's cc parameter). Local sites rank higher in local results. 264 choices.
language string No en Interface and result language used for Google's hl parameter (and Bing's setlang parameter). 187 choices.
safeSearch string No active Google SafeSearch level. 'active' filters explicit images; 'off' does not. One of: active, off.
imageSize string No – Google Images size filter. The MP values are minimum megapixels. Bing fallback applies the nearest size category and enforces the exact MP floor locally when dimensions are known. 10 choices.
imageColor string No – Google Images color filter. 'black_and_white' is grayscale; 'transparent' looks for a transparent background. 15 choices.
imageType string No – Google Images type filter: photographs, faces, clip art, line drawings or animated images. One of: photo, face, clipart, lineart, animated.
fileType string No – Only images in this format. Google applies this server-side; Bing fallback applies it to the image URL extension locally. 7 choices.
timeRange string No – Only images Google found within this period. Bing fallback maps 'hour' to its 24-hour window. One of: hour, day, week, month, year.
usageRights string No – Google's usage-rights labels. These are Google's labels, not a legal guarantee; check the licence on the source page before reuse. One of: free_to_use_or_share, free_to_use_or_share_commercially, free_to_use_share_or_modify, free_to_use_share_or_modify_commercially.
googleOnly boolean No false When true, a failed or empty Google search fails that query with a clear status instead of using another engine.
enableFallback boolean No true When googleOnly is false, allow labelled Bing Images and then DuckDuckGo Images. Every fallback row carries engine, isFallback=true and fallbackReason.

What each row holds

Every field the Actor returns stays in the row (29 in its dataset schema). Normalize + dedupe trims text, drops empty fields and adds _source and _scrapedAt. The main fields:

Main output fields of Google Image Search Results & Metadata Scraper
FieldWhat it is
engineEngine
imageUrlTypeURL type
titleTitle
sourceDomainSource domain
imageUrlImage URL
imageWidthWidth
imageHeightHeight

What the first run costs

Each run starts at $0.40 on the Free plan (4 GB of memory), then $0.99 per 1,000 results, plus platform usage.

The Actor lists $0.99 per 1,000 results; its catalogue page breaks the price down by Apify plan. The Apify Free plan includes $5 of usage a month.

The Actor behind it

Google Image Search Results & Metadata Scraper: Run a Google Images search and get back full-resolution image URLs with dimensions, thumbnails, source page titles, and the web page each image came from.

The same job from an AI agent

The matching agent skill gives Claude Code, Codex, Cursor and other agents the same Actor, input and fields. Install it in one line:

npx skills add https://scraperfinder.com --skill google-image-search-results-and-metadata-scraper

The google Image Search scraper skill, with manual install and run steps

Questions people ask

How do I import this workflow into n8n?

Copy https://scraperfinder.com/n8n/google-image-search-results-and-metadata-scraper.json. In n8n, open a new workflow, click the three-dot menu, choose Import from URL and paste it. Or download the JSON file and use Import from File; both give the same 6 nodes.

Do I need an Apify account?

Yes. The workflow calls the Google Image Search Results & Metadata Scraper Actor through the Apify API with your own token, and each run is billed to your Apify account. The Free plan includes $5 of usage a month.

What does a run cost?

Each run starts at $0.40 on the Free plan (4 GB of memory), then $0.99 per 1,000 results, plus platform usage. The Actor's Store page shows the current price.

Can I change what it collects?

Yes: edit the input object in the Configure input node. The Actor takes 15 settings; the table on this page lists each one with its default. Raise maxResults once the first rows look right.

Does it work without Google Sheets?

Yes. The rows wait in the Rows ready node, so you can connect any other node there: a database, Airtable, a webhook or an email. The Google Sheets node is only one option.

Workflow updated 2026-11-14