# Adobe Stock Scraper (`neuro-scraper/adobe-stock-scraper`) Actor

Adobe Stock Scraper SD - Adobe Stock Scraper is a stock media data tool that extracts Adobe Stock search results and asset pages: title, creator, type, size, category, AI flag, premium level, licences and prices, thumbnails, keywords. Filters by type, AI, orientation, size, colour.

- **URL**: https://apify.com/neuro-scraper/adobe-stock-scraper.md
- **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (community)
- **Categories:** Videos, Social media, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.49 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

./README.md

# Actor input Schema

## `query` (type: `string`):

Words to search Adobe Stock for, e.g. "lighthouse". Combined with Creator ID it searches inside that creator's portfolio.

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

Several searches in one run, e.g. \["mountain", "office team"]. Each is searched separately with the same filters and its own Max items.

## `creatorId` (type: `string`):

Numeric contributor id (from a contributor URL such as https://stock.adobe.com/contributor/200631377/...) or the contributor URL itself. Alone it lists the creator's portfolio; with a query it searches inside it.

## `startUrls` (type: `array`):

Search result URLs copied from stock.adobe.com (all filters in the URL are kept, e.g. https://stock.adobe.com/search?k=mountain\&order=creation) or asset page URLs (https://stock.adobe.com/images/.../185171025).

## `assetIds` (type: `array`):

Look up single assets by numeric id (185171025) or asset URL - one row each, with keywords and licences from the asset page.

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

Assets per search query / URL. Adobe Stock shows 100 per page and at most 100 pages (10,000) per search; the Actor follows the page's own next link until this number or the end.

## `order` (type: `string`):

Sort order of the search results (the site's own sort menu).

## `assetType` (type: `string`):

Only this kind of asset.

## `aiFilter` (type: `string`):

Include, exclude or only show assets marked as made with generative AI.

## `priceFilter` (type: `string`):

Standard (non-premium) or Premium collection only.

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

Image orientation.

## `panoramic` (type: `boolean`):

Only panoramic images (same as Orientation = Panoramic).

## `isolated` (type: `boolean`):

Only images with the subject isolated on a plain background.

## `transparent` (type: `boolean`):

Only assets with a transparent background (PNG cutouts).

## `copySpace` (type: `boolean`):

Only images with empty space for text.

## `iconOption` (type: `string`):

Single icons or icon sheets only.

## `minWidth` (type: `integer`):

Only assets at least this many pixels wide, e.g. 3000.

## `minHeight` (type: `integer`):

Only assets at least this many pixels high, e.g. 2000.

## `minMegapixels` (type: `integer`):

Only images of at least this many megapixels, e.g. 12 (used instead of width / height when set).

## `colors` (type: `string`):

Dominant colour as a hex code, e.g. 1e90ff.

## `includeKeywords` (type: `boolean`):

Open every asset page to add its keyword list, licence sizes and licence prices. Slower: about 20 s per asset.

## `requestTimeoutSecs` (type: `integer`):

How long one page may take to load and pass the site's automatic browser check (measured 15-20 s).

## `timeoutSecs` (type: `integer`):

The Actor stops opening new pages after this many seconds and saves what it has.

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

Adobe Stock checks every visitor with DataDome; a residential IP (US by default, prices are shown in US$) is needed.

## Actor input object example

```json
{
  "query": "lighthouse",
  "keywords": [],
  "startUrls": [],
  "assetIds": [],
  "maxItems": 50,
  "order": "relevance",
  "assetType": "all",
  "aiFilter": "all",
  "priceFilter": "all",
  "orientation": "all",
  "panoramic": false,
  "isolated": false,
  "transparent": false,
  "copySpace": false,
  "iconOption": "all",
  "includeKeywords": false,
  "requestTimeoutSecs": 60,
  "timeoutSecs": 1800,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# 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 = {
    "query": "lighthouse",
    "keywords": [],
    "startUrls": [],
    "assetIds": [],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuro-scraper/adobe-stock-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 = {
    "query": "lighthouse",
    "keywords": [],
    "startUrls": [],
    "assetIds": [],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

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

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

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

```

## CLI example

```bash
echo '{
  "query": "lighthouse",
  "keywords": [],
  "startUrls": [],
  "assetIds": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call neuro-scraper/adobe-stock-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/adobe-stock-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/86PsC041nM1xVzh0V/builds/skSanczK713ih6p5U/openapi.json