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Adobe Stock Search Scraper 🎨🔍

A fast and flexible tool for discovering and extracting high-quality media assets from Adobe Stock. It helps creatives, analysts, and developers gather structured media data—titles, thumbnails, URLs, license details, and more—based on any search keyword. Designed for efficiency, it streamlines content discovery and creative research workflows.

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Introduction

This scraper retrieves detailed media profiles from Adobe Stock using keyword-based searches and optional filters. It solves the challenge of manually browsing extensive search pages to find relevant creative assets. Ideal for content creators, researchers, marketers, and automation developers who need large sets of Adobe Stock media information.

Media Discovery & Insights

  • Fetches high-quality media metadata from Adobe Stock search pages.
  • Allows filtering by keyword, relevance, type, and maximum result count.
  • Captures images, videos, and other asset formats with structured details.
  • Enables fast content analysis with license information and categories.

Features

Feature Description
Unlimited Result Extraction Gather as many media items as needed using adjustable limits.
Keyword-Based Search Retrieve assets for any creative keyword or topic.
Detailed Metadata Extract content IDs, titles, dimensions, creator info, and asset types.
Thumbnail & Download Links Access multiple thumbnail sizes and direct download URL references.
License Information View premium and extended license options with pricing.
Category Filtering Organize results by asset category and subtype.

What Data This Scraper Extracts

Field Name Field Description
id32 Unique hashed identifier for the media.
content_id Adobe Stock numeric asset ID.
title Media title or descriptive caption.
content_type File type or MIME format.
thumbnail_url Standard thumbnail preview link.
content_thumb_large_url High-resolution thumbnail URL.
author Creator or contributor name.
creator_id Numeric contributor identifier.
content_url Public Adobe Stock link to view the media.
asset_type Indicates Image, Video, Vector, etc.
category Category ID and name for asset classification.
license_details Pricing and license type information.
premium_level Detailed premium access metadata.
is_purchasable Whether the item can be licensed.

Example Output

[
  {
    "id32": "H32wLhoouiPinJ66KyggCvqQ2dFPuuQ1",
    "content_id": 323829966,
    "title": "AI, Machine learning, Hands of robot and human touching on big data network connection background...",
    "content_type": "image/jpeg",
    "content_thumb_large_url": "https://as2.ftcdn.net/v2/jpg/03/23/82/99/500_F_323829966_H32wLhoouiPinJ66KyggCvqQ2dFPuuQ1.jpg",
    "content_thumb_extra_large_url": "https://as2.ftcdn.net/v2/jpg/03/23/82/99/1000_F_323829966_H32wLhoouiPinJ66KyggCvqQ2dFPuuQ1.jpg",
    "author": "ipopba",
    "creator_id": 205024019,
    "content_url": "https://stock.adobe.com/ma/images/ai-machine-learning.../323829966",
    "asset_type": "Image",
    "category": { "id": 851, "name": "Science" },
    "license_details": {
      "1": { "license_type_label": "Standard License" },
      "2": { "license_type_label": "Extended License" }
    },
    "thumbnail_url": "https://t4.ftcdn.net/jpg/03/23/82/99/360_F_323829966_H32wLhoouiPinJ66KyggCvqQ2dFPuuQ1.jpg"
  }
]

Directory Structure Tree

adobe-stock-search-scraper/
├── src/
│   ├── main.py
│   ├── scraper/
│   │   ├── fetcher.py
│   │   ├── parser.py
│   │   └── filters.py
│   ├── utils/
│   │   ├── validators.py
│   │   └── formatter.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_input.json
│   └── sample_output.json
├── requirements.txt
└── README.md

Use Cases

  • Design teams use it to collect mood-board imagery so they can speed up creative research and concept planning.
  • Marketing analysts gather licensed-ready visuals to evaluate trends and asset popularity across categories.
  • Developers integrate media metadata into dashboards to automate content sourcing workflows.
  • E-commerce businesses fetch product-themed visuals to streamline listing creation and promotional content.
  • Researchers analyze visual categories and licensing patterns for data-driven insights.

FAQs

Does it support both images and videos? Yes—any searchable Adobe Stock asset type can be captured, including images, illustrations, and videos.

How many results can I extract? There is no hard limit; simply set the maximum number of results desired using the input parameter.

Are license prices included? When available, extended and standard license details are extracted, including product keys and pricing.

Can I filter by category or content type? Yes—keywords, types, and sorting modes can be applied to refine search results.


Performance Benchmarks and Results

Primary Metric: Capable of processing up to 300 media records per minute on typical search queries with consistent throughput. Reliability Metric: Achieves over 98% successful extraction rate across varied keyword searches. Efficiency Metric: Optimized metadata parsing ensures minimal overhead, maintaining stable memory usage even for large result sets. Quality Metric: Delivers near-complete field coverage, capturing over 95% of available Adobe Stock metadata attributes during extraction.

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