# Adobe Stock Search Scraper (`scrapeai/adobe-stock-search-scraper`) Actor

Scrape Adobe Stock search results to extract images, videos, templates, vectors, illustrations, and other assets. Collect asset title, creator, asset type, preview image, license type, dimensions, keywords, and asset URL for market research and content analysis.

- **URL**: https://apify.com/scrapeai/adobe-stock-search-scraper.md
- **Developed by:** [ScrapeAI](https://apify.com/scrapeai) (community)
- **Categories:** Automation, Developer tools, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Adobe Stock Search Scraper

Scrape Adobe Stock search results in seconds. Enter any keyword to automatically gather high-quality images, videos, illustrations, vectors, and templates with comprehensive metadata—ready for analysis, research, or content workflows.

### Features

- **Search by keyword** — Find assets for any topic, concept, style, or subject with a simple keyword search.
- **Filter by asset type** — Collect only the content you need, including photos, videos, vectors, illustrations, templates, 3D assets, and editorial content.
- **Filter by orientation** — Narrow results by horizontal, vertical, square, or panoramic layouts.
- **Sort search results** — Order assets by relevance, most downloaded, newest, or discover hidden, less competitive content.
- **Safe Search control** — Enable or disable adult content filtering based on your requirements.
- **Automatic pagination** — Seamlessly crawl multiple search result pages and collect assets until your specified limit is reached.
- **Custom result limit** — Control exactly how many assets to collect for each search.
- **Structured output** — Export complete asset metadata in JSON, CSV, Excel, or other supported formats.
- **Fast and scalable** — Efficiently process large search queries with reliable data collection.
- **Ideal for research and analytics** — Perfect for market research, competitive analysis, content discovery, trend monitoring, and creative inspiration.

### Example Output

```json
{
  "title": "Golden sunset over mountain landscape",
  "assetId": "847291034",
  "thumbnail": "https://t3.ftcdn.net/jpg/...",
  "previewImage": "https://stock.adobe.com/preview/...",
  "detailUrl": "https://stock.adobe.com/images/sunset-landscape/847291034",
  "contributor": "naturephotographer",
  "contributorUrl": "https://stock.adobe.com/contributor/12345",
  "contentType": "photo",
  "premium": false,
  "width": 1920,
  "height": 1280,
  "searchKeyword": "sunset landscape",
  "pageNumber": 1,
  "scrapedAt": "2026-05-19T10:30:00.000Z"
}
```

# Actor input Schema

## `searchQuery` (type: `string`):

Keyword(s) to search for on Adobe Stock.

## `category` (type: `string`):

Filter by asset type.

## `orientation` (type: `string`):

Filter by image orientation.

## `sortOrder` (type: `string`):

How to sort results.

## `safeSearch` (type: `boolean`):

Enable safe search filter.

## `maxItems` (type: `integer`):

Maximum number of assets to extract.

## `proxyConfiguration` (type: `object`):

Proxy settings for scraping.

## Actor input object example

```json
{
  "searchQuery": "nature",
  "category": "all",
  "orientation": "",
  "sortOrder": "relevance",
  "safeSearch": true,
  "maxItems": 50
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeai/adobe-stock-search-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("scrapeai/adobe-stock-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call scrapeai/adobe-stock-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapeai/adobe-stock-search-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Ha3Pa6DSD3mKUfCdx/builds/iGwFdqY1vHUVlvpj0/openapi.json