# Reverse Image Search: Where Is This Photo Used?

**Use case:** 

Find every page where a photo appears, with each site marked as marketplace, stock site or social. Sample: a Pexels photo and an iStock photo.

## Input

```json
{
  "keywords": [
    "retro sunset surf t-shirt design"
  ],
  "imageUrls": [
    "https://images.pexels.com/photos/38631744/pexels-photo-38631744.jpeg?cs=srgb&dl=pexels-ch-jawad-224803663-38631744.jpg&fm=jpg",
    "https://media.istockphoto.com/id/2166651330/photo/grand-teton-mountains-from-oxbow-bend-on-the-snake-river-at-sunrise-grand-teton-national-park.jpg?s=612x612&w=0&k=20&c=NmPOaN3nhEfowD1xOdV_z2X5CdsjBTPwSncbvji1saw="
  ],
  "country": "United States",
  "maxImagesPerKeyword": 100,
  "imageSize": "any",
  "imageType": "any",
  "imageColor": "any",
  "timeRange": "any",
  "usageRights": "any",
  "marketplacesOnly": false,
  "maxMatchesPerImage": 100,
  "onlyNewMatches": false
}
```

## Output

```json
{
  "type": {
    "label": "Row",
    "format": "text"
  },
  "keyword": {
    "label": "Keyword",
    "format": "text"
  },
  "imageUrl": {
    "label": "Image URL",
    "format": "link"
  },
  "position": {
    "label": "#",
    "format": "number"
  },
  "thumbnailUrl": {
    "label": "Image",
    "format": "image"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "domain": {
    "label": "Site",
    "format": "text"
  },
  "pageUrl": {
    "label": "Page",
    "format": "link"
  },
  "matchType": {
    "label": "Match",
    "format": "text"
  },
  "siteType": {
    "label": "Site type",
    "format": "text"
  },
  "marketplace": {
    "label": "Marketplace",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google Images Scraper + Reverse Image Search Actor is ready to run with the inputs already set for "Reverse Image Search: Where Is This Photo Used?". [Sign up or log in](https://console.apify.com/create-task-from-example/j6HcVVcmyPMhejEMe) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Reverse Image Search: Where Is This Photo Used?" task

The Google Images Scraper + Reverse Image Search Actor will start running based on the input automatically. You can also change all the input fields, like keywords (image search), image urls (reverse image search), and more, to match your specific use case.

### 3. Receive the "Reverse Image Search: Where Is This Photo Used?" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as row, keyword, image url, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Reverse Image Search: Where Is This Photo Used?" task via API](https://apify.com/vncntlabs/google-images-scraper.md).

## About this Actor

This example demonstrates how to use [Google Images Scraper + Reverse Image Search](https://apify.com/vncntlabs/google-images-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vncntlabs/google-images-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/vncntlabs/google-images-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).