Google Image Search scraper skill for AI agents
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 the skill does
It tells your agent when a request fits the Google Image Search Results & Metadata Scraper Actor, which input to send and which fields come back (engine, url type, title, source domain and 25 more). The agent runs it through the Apify API with your token and gets JSON rows.
Skill files updated 2026-11-14.Install by hand
Save the five files into a folder named google-image-search-results-and-metadata-scraper: ~/.claude/skills/google-image-search-results-and-metadata-scraper/ for Claude Code, ~/.agents/skills/google-image-search-results-and-metadata-scraper/ for Codex and most other agents.
- SKILL.mdWhen to use the skill, the input and the fields it returns, 5.7 KB
- scripts/run.mjsRuns the Actor with your token (Node 18 or later), 1.2 KB
- references/example-input.jsonA starter input that passes the Actor's schema, 62 bytes
- references/input-schema.jsonEvery input setting the Actor accepts, 22.8 KB
- references/output-fields.jsonEvery field the Actor declares, 1.1 KB
The same five files as one download: google-image-search-results-and-metadata-scraper.zip (9.7 KB).
Run it
Ask your agent in plain words, for example "Google image Search results scraper", and it picks the skill from its description. Or run the script yourself:
export APIFY_TOKEN=your_apify_token
cd google-image-search-results-and-metadata-scraper # the skill folder
node scripts/run.mjs # the example input
node scripts/run.mjs my-input.json # your own input Without an argument the script uses references/example-input.json. It waits for the run and prints the rows as JSON; for long runs SKILL.md shows the async API calls.
What it returns
| Field | What it is |
|---|---|
| engine | Engine |
| imageUrlType | URL type |
| title | Title |
| sourceDomain | Source domain |
| imageUrl | Image URL |
| imageWidth | Width |
| imageHeight | Height |
Read SKILL.md
Show the whole file (5.7 KB)
---
name: google-image-search-results-and-metadata-scraper
description: "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. Output fields: engine, title, sourceDomain, imageUrl, imageWidth and more, as JSON rows. Use it for requests like \"Google image Search results scraper\", or a CSV/JSON export of public Google Search data."
---
# 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.
- Actor: https://apify.com/nimbryxo-studio/google-image-search-results-and-metadata-scraper (ID `nimbryxo-studio~google-image-search-results-and-metadata-scraper`)
- n8n workflow for the same Actor: https://scraperfinder.com/n8n/google-image-search-results-and-metadata-scraper/
- Example input: `references/example-input.json`
- Input schema: `references/input-schema.json`
- Output fields: `references/output-fields.json`
## When to use
Use this skill when the user wants:
- Google image Search results scraper
- a repeatable export of public Google Search data as CSV or JSON
Do not use it for private, login-protected or paywalled data.
## What it returns
One JSON row per result. Columns from the Actor's dataset schema:
- `engine`: Engine
- `imageUrlType`: URL type
- `title`: Title
- `sourceDomain`: Source domain
- `imageUrl`: Image URL
- `imageWidth`: Width
- `imageHeight`: Height
All 29 declared fields: `references/output-fields.json`.
## Inputs
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
| `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. |
| `language` | string | no | en | Interface and result language used for Google's hl parameter (and Bing's setlang parameter). |
| `safeSearch` | string | no | active | Google SafeSearch level. 'active' filters explicit images; 'off' does not. |
| `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. |
| `imageColor` | string | no | | Google Images color filter. 'black_and_white' is grayscale; 'transparent' looks for a transparent background. |
| `imageType` | string | no | | Google Images type filter: photographs, faces, clip art, line drawings or animated images. |
| `fileType` | string | no | | Only images in this format. Google applies this server-side; Bing fallback applies it to the image URL extension locally. |
| `timeRange` | string | no | | Only images Google found within this period. Bing fallback maps 'hour' to its 24-hour window. |
| `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. |
| `googleOnly` | boolean | no | false | When true, a failed or empty Google search fails that query with a clear status instead of using another engine. |
1 more optional field on the Actor's Input tab.
Example (`references/example-input.json`):
```json
{
"queries": [
"Alfons Mucha"
],
"maxResults": 25
}
```
The input passes the Actor's input schema (checked at every publish). First run: `maxResults` = 25, small enough for the 300-second sync wait; raise it once the rows look right.
## Run it
Set `APIFY_TOKEN`, then call the synchronous endpoint for small and medium runs (it waits up to 300 seconds):
```bash
curl -s -X POST "https://api.apify.com/v2/acts/nimbryxo-studio~google-image-search-results-and-metadata-scraper/run-sync-get-dataset-items" \
-H "Authorization: Bearer $APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d @references/example-input.json > output.json
```
Or with Node 18+: `node scripts/run.mjs [input.json]`.
For large runs, start an async run and read its dataset when it finishes:
```bash
RUN=$(curl -s -X POST "https://api.apify.com/v2/acts/nimbryxo-studio~google-image-search-results-and-metadata-scraper/runs" \
-H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
-d @references/example-input.json)
RUN_ID=$(echo "$RUN" | jq -r '.data.id'); DATASET=$(echo "$RUN" | jq -r '.data.defaultDatasetId')
curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?waitForFinish=60" -H "Authorization: Bearer $APIFY_TOKEN" | jq -r '.data.status'
curl -s "https://api.apify.com/v2/datasets/$DATASET/items?format=json" -H "Authorization: Bearer $APIFY_TOKEN" > output.json
```
## Cost and limits
- Apify bills the Actor's usage on your account; the Actor's Pricing tab shows the current price.
- Keep the limit in the input small for a first run.
## Guardrails
- Public data only. Do not pass cookies, sessions or private account data.
- Do not use the output for spam, harassment or unlawful discrimination.
- Check the target site's terms and local law before running at scale.
Same Actor, other ways
- The google Image Search scraper n8n workflow: the same job as a scheduled n8n workflow, imported from a URL.
- Google Image Search Results & Metadata Scraper: fields, inputs and price per plan.
- Google Image Search Results & Metadata Scraper in the Apify Store.
Questions people ask
Which agents can use this skill?
Any agent that reads Agent Skills folders: Claude Code, Codex, Cursor, Gemini CLI and the other agents the skills CLI installs into. The skill is a SKILL.md file plus a small Node script, so an agent without skill support can still follow the file by hand.
Does the skill cost anything?
The skill is free. Running it starts the Google Image Search Results & Metadata Scraper Actor on your own Apify account, which bills the run at the Actor's Store price; the Apify Free plan includes $5 of usage a month.
What does npx skills add install?
The whole folder: SKILL.md, scripts/run.mjs and the three reference files, downloaded from this site and checked against the SHA-256 digest in scraperfinder.com/.well-known/agent-skills/index.json. Add -g to install it for every project.