# Find the best-selling Adobe Stock images for a keyword

**Use case:** 

Lists the most downloaded Adobe Stock assets for any keyword, with download and view counts, every keyword, upload date and the AI label. The example reads the 200 best-selling coffee assets.

## Input

```json
{
  "searches": [
    "coffee"
  ],
  "mode": "assets",
  "sort": "downloads",
  "contentType": "all",
  "aiContent": "all",
  "maxItemsPerSearch": 200,
  "onlyNewItems": false
}
```

## Output

```json
{
  "source": {
    "label": "Search",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "downloads": {
    "label": "Downloads",
    "format": "integer"
  },
  "views": {
    "label": "Views",
    "format": "integer"
  },
  "isAi": {
    "label": "AI-generated",
    "format": "boolean"
  },
  "createdAt": {
    "label": "Uploaded",
    "format": "string"
  },
  "keywords": {
    "label": "Keywords",
    "format": "array"
  },
  "url": {
    "label": "URL",
    "format": "string"
  }
}
```

## How it works

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

The Adobe Stock Scraper & Keyword Research Actor is ready to run with the inputs already set for "Find the best-selling Adobe Stock images for a keyword". [Sign up or log in](https://console.apify.com/create-task-from-example/HfPy5ero6DmP9cvMF) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find the best-selling Adobe Stock images for a keyword" task

The Adobe Stock Scraper & Keyword Research Actor will start running based on the input automatically. You can also change all the input fields, like keywords or contributors, what to get, and more, to match your specific use case.

### 3. Receive the "Find the best-selling Adobe Stock images for a keyword" 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 search, title, downloads, 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 "Find the best-selling Adobe Stock images for a keyword" task via API](https://apify.com/babymum7/adobe-stock-scraper.md).

## FAQ

### Can I limit it to vectors or videos?

Yes. Set Content type in the best sellers task to photos, illustrations, vectors, videos, templates or 3D.

### How deep can it go?

The best sellers task reads up to 10,000 results per keyword, the most Adobe Stock serves for one search.

### How much does this task cost to run?

The best sellers task is billed per result: 0.40 USD per 1,000 assets on the free plan, less on paid plans, and 0.005 USD per keyword report.

### Can I run it on a schedule or through the API?

Yes. Save the best sellers task to your account, add a schedule in Apify Console, or start it from the Apify API, Make, Zapier or n8n with the same input.

## About this Actor

This example demonstrates how to use [Adobe Stock Scraper & Keyword Research](https://apify.com/babymum7/adobe-stock-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/babymum7/adobe-stock-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/babymum7/adobe-stock-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`).