# Adobe Stock Scraper - Low-cost💲🔥🎨 (`delectable_incubator/adobe-stock-scraper---low-cost`) Actor

Scrape Adobe Stock media data by keyword 🎨. Extract asset titles, content types, thumbnails, download URLs, license details, and metadata. Ideal for stock content analysis, creative research, and building structured datasets for design, marketing, and media projects 📊🚀

- **URL**: https://apify.com/delectable\_incubator/adobe-stock-scraper---low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Videos, Social media, Developer tools
- **Stats:** 5 total users, 1 monthly users, 94.3% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

<p align="center"> <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Adobe Stock Search Scraper - PrimeScrape" width="100%"> </p>

***

### Adobe Stock Search Scraper 🔍🎨🖼️

The Adobe Stock Search Scraper is a fast, reliable, and scalable automation tool designed to extract structured media asset data directly from Adobe Stock.

It converts search results into clean, structured datasets ready for creative research, content discovery, asset analysis, and media intelligence.

***

### Adobe Stock Scraper 🎨🔎🖼️

This scraper automatically extracts structured media listings from Adobe Stock search result pages.

Ideal for designers, marketers, content researchers, and creative professionals.

***

### 🎯 What This Scraper Does

Simply provide search parameters such as keywords, content type, or filters, and the scraper will automatically extract structured media data.

✅ Extracts Adobe Stock media assets

✅ Supports keyword-based search

✅ Handles pagination automatically

✅ Respects maxitems limits

✅ Cleans and structures media data

✅ Ready for analytics and integrations

***

### 📊 Data Extracted

🖼️ Media Asset Fields

| Field                | Description                     |
| -------------------- | ------------------------------- |
| 🆔 `content_id`      | Unique content identifier       |
| 📝 `title`           | Asset title                     |
| 🖼 `content_type`    | Media type (image, video, etc.) |
| 🖼 `thumbnail_url`   | Preview image                   |
| 🌐 `content_url`     | Asset page URL                  |
| ✍️ `author`          | Creator name                    |
| 🔢 `creator_id`      | Creator identifier              |
| 📥 `download_url`    | Download / preview URL          |
| 💳 `premium_level`   | License tiers                   |
| 🏷️ `category`       | Asset category                  |
| 🔗 `asset_type`      | Asset type                      |
| 📜 `license_details` | Licensing information           |

***

### 🛠 How to Use

1️⃣ Configure Input

Provide one or more AWS Marketplace search URLs:

```
{
  "keyword": "ai",
  "sort_by": "Relevance",
  "types": "All",
  "maxitems": 200
}
```

2️⃣ Run the Actor

The scraper will:

• Perform keyword-based search

• Automatically paginate results

• Extract structured media assets

• Stop when maxitems is reached

3️⃣ Export the Dataset

Download your results in multiple formats:

✅ JSON

✅ CSV

✅ Excel

✅ XML

✅ HTML

***

### ⚙️ Input Configuration

#### 📥 Input Example

```
{
  "keyword": "ai",
  "sort_by": "Relevance",
  "types": "All",
  "maxitems": 200
}
```

#### Input Fields

| Field      | Type    | Description                       |
| ---------- | ------- | --------------------------------- |
| `keyword`  | array  | Bulk Search keyword                    |
| `sort_by`  | string  | Sorting option (e.g., Relevance)  |
| `types`    | string  | Content type (image, video, etc.) |
| `maxitems` | integer | Maximum results to extract        |

***

### 📤 Output Example

```
{
  "content_id": 323829966,
  "title": "AI, Machine learning, Hands of robot...",
  "content_type": "image/jpeg",
  "thumbnail_url": "https://t4.ftcdn.net/image.jpg",
  "content_url": "https://stock.adobe.com/image/323829966",
  "author": "ipopba",
  "creator_id": 205024019,
  "download_url": "https://stock.adobe.com/download/323829966",
  "asset_type": "Image",
  "category": "Science"
}
```

***

### 📊 Output explanation

| Field             | Description             |
| ----------------- | ----------------------- |
| `content_id`      | Unique content ID       |
| `title`           | Asset title             |
| `content_type`    | Media type              |
| `thumbnail_url`   | Preview image           |
| `content_url`     | Asset page URL          |
| `author`          | Creator name            |
| `creator_id`      | Creator identifier      |
| `download_url`    | Download or preview URL |
| `asset_type`      | Asset type              |
| `category`        | Asset category          |
| `license_details` | Licensing information   |

***

### 🌍 Why Use This Scraper?

🎨 Creative Discovery — Find images, videos, and design assets

📊 Content Analysis — Analyze trends in creative media

🏷️ Asset Categorization — Filter by type and category

📈 Market Insights — Track popular design trends

🤖 Data & AI — Build datasets for ML or automation

⚡ Scalable — Designed for high-volume extraction

***

### ⚠️ Disclaimer

This tool is an independent solution and is not affiliated with or endorsed by Adobe Stock.

***

### 💸 Pricing

This scraper runs on a **pay per events subscription model**.

You only pay for **successful runs**.

💳 **Price:** $2.89 / 1000 results

***

### Related Actors

If you're interested in other German 🇩🇪, Austrian 🇦🇹, Swiss 🇨🇭, or Dach or European 🇪🇺 scrapers, explore more scrapers across Europe 🇩🇪🇪🇺

(Coming soon)

***

### 📬 Support

⭐⭐⭐⭐⭐ Leave a 5-star rating if you like this tool

***

### 🌍 PrimeScrape

Built for scalable web data extraction & automation

Contact for custom scraping solutions or enterprise requests via Apify or by email.

# Actor input Schema

## `keywords` (type: `array`):

Enter one or more keywords to search on Adobe Stock. Each keyword will be scraped separately. Example: \["nature", "city", "abstract"].

## `sort_by` (type: `string`):

Choose how you want to sort the search results: by relevance, most recent, or by number of downloads 📊.

## `types` (type: `string`):

Select the type of assets to search for on Adobe Stock: Images, Videos, Templates, or All asset types 🎨🔍.

## `maxitems` (type: `integer`):

Set the maximum number of asset listings to scrape per keyword 📊.

## `proxy` (type: `object`):

Proxy settings. Use RESIDENTIAL to bypass Akamai/Cloudflare.

## Actor input object example

```json
{
  "keywords": [
    "Design",
    "3D"
  ],
  "sort_by": "Relevance",
  "types": "All",
  "maxitems": 150,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "keywords": [
        "Design",
        "3D"
    ],
    "sort_by": "Relevance",
    "types": "All",
    "maxitems": 150,
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/adobe-stock-scraper---low-cost").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 = {
    "keywords": [
        "Design",
        "3D",
    ],
    "sort_by": "Relevance",
    "types": "All",
    "maxitems": 150,
    "proxy": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/adobe-stock-scraper---low-cost").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 '{
  "keywords": [
    "Design",
    "3D"
  ],
  "sort_by": "Relevance",
  "types": "All",
  "maxitems": 150,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call delectable_incubator/adobe-stock-scraper---low-cost --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/tTyyZfPgzWO6dn85R/builds/WuQ6eBzk0sHmx9Bg2/openapi.json