Adobe Stock Scraper: collect photos, videos, and creative asset metadata

An Apify actor that pulls structured metadata from Adobe Stock search results and creator portfolios: titles, creators, dimensions, keywords, download counts, and preview URLs. It works across photos, videos, illustrations, vectors, templates, 3D, and audio, and supports the usual search filters (price, orientation, AI, size, colors, icons, and more).

What data does this actor extract?

Each dataset item can include asset identity (assetId, stockId, assetTitle, detailsUrl), creator fields (creatorId, creatorName, countryName), classification (contentType, mediaTypeId, categoryInfo, premiumLevelId, isGenerativeAi, isTransparent, iconOption), dimensions and dates, keywords, popularity (downloadCount, viewCount), image previews (thumbUrl, thumb500Url, thumb1000Url, compUrl), and video preview fields when the asset is a video.

Use cases

• Creative trend research: search a topic and compare which formats and keywords show up most often
• Contributor analysis: pull a creator portfolio by Adobe Stock creator ID and sort by newest or downloads
• Mood-board research: collect preview URLs and titles for a keyword without manual browsing
• AI content monitoring: include, exclude, or return only generative AI (gentech) assets
• Filtered creative scans: combine orientation, transparent background, isolated cutouts, copy space, color, and minimum size
• Bulk metadata export: download results as JSON, CSV, or Excel from Apify storage

Input

Parameter	Type	Default	Description
maxItems	integer	100	Max unique assets to save. Use 0 to keep going until results run out (hard cap 1000 when set above 0).
query	string	people	Search phrase. Leave empty for creator-only or broad search.
creatorId	integer	(none)	Adobe Stock creator ID for portfolio or in-portfolio search.
assetType	string	all	all, images, videos, templates, 3d, photo, illustration, vector, video, template, or audio. images = photo+illustration+vector.
priceFilter	string	all	all, standard (non-premium), or premium.
orientation	string	all	all, horizontal, vertical, or square.
panoramic	boolean	false	Only panoramic assets.
isolated	boolean	false	Only isolated / cutout assets.
transparent	boolean	false	Only transparent-background assets.
copySpace	boolean	false	Only assets with copy space.
aiFilter	string	all	all, only, or exclude generative AI assets.
iconOption	string	all	all, icon_sheet, or single_icon.
minWidth	integer	(none)	Minimum width in pixels.
minHeight	integer	(none)	Minimum height in pixels.
minMegapixels	number	(none)	Minimum area in megapixels.
colors	string	(none)	Hex colors without #, comma-separated (e.g. ff0000).
order	string	relevance	relevance, downloads, newest, featured, or undiscovered.
timeoutSecs	integer	300	Overall actor timeout in seconds.
requestTimeoutSecs	integer	30	Per-request timeout in seconds.
proxyConfiguration	object	Datacenter (Anywhere)	Proxy type and location for requests. Supports Datacenter, Residential, Special, and custom proxies. Optional.

Filters not supported

A few filters from the Adobe Stock website UI aren't supported here: people / model presence, ethnicity, age / gender / number of people, local artists, depth of field, vivid color, and editorial-only. They're left out on purpose rather than faked. For "undiscovered", use order: undiscovered as the sort option instead.

Example input

{
    "maxItems": 100,
    "query": "summer",
    "assetType": "images",
    "priceFilter": "standard",
    "orientation": "horizontal",
    "aiFilter": "exclude",
    "order": "relevance",
    "proxyConfiguration": { "useApifyProxy": true }
}

Transparent icons with a red color bias:

{
    "maxItems": 50,
    "query": "icon",
    "assetType": "vector",
    "transparent": true,
    "iconOption": "icon_sheet",
    "colors": "ff0000",
    "proxyConfiguration": { "useApifyProxy": true }
}

Creator portfolio (newest photos):

{
    "maxItems": 100,
    "creatorId": 205216144,
    "assetType": "photo",
    "order": "newest",
    "proxyConfiguration": { "useApifyProxy": true }
}

Output

Results land in the default dataset. Example photo item:

{
    "assetId": 349979908,
    "assetTitle": "Multi ethnic people of different age looking at camera collage mosaic horizontal banner.",
    "creatorId": 205271089,
    "creatorName": "fizkes",
    "countryName": "Russian Federation",
    "pixelWidth": 4000,
    "pixelHeight": 1000,
    "contentType": "image/jpeg",
    "mediaTypeId": 1,
    "categoryInfo": { "id": 695, "name": "People" },
    "keywordList": [{ "name": "adult" }, { "name": "business" }, { "name": "people" }],
    "createdAt": "2020-05-17 22:25:26.108788",
    "thumbUrl": "https://as2.ftcdn.net/v2/jpg/03/49/97/99/500_F_349979908_zOFuSYmAZ2d7kDt6YSKC4oQCHYQfjNrZ.jpg",
    "downloadCount": 5027,
    "viewCount": 0,
    "isGenerativeAi": false,
    "isTransparent": false,
    "detailsUrl": "https://stock.adobe.com/..."
}

Field	Type	Description
assetId	integer	Adobe Stock asset ID
assetTitle	string	Asset title
creatorId	integer	Creator ID
creatorName	string	Creator name
downloadCount	integer	Reported downloads
isGenerativeAi	boolean	Generative AI flag
isTransparent	boolean	Transparent background flag
detailsUrl	string	Asset details page
thumbUrl	string	Preview thumbnail

How it works

1. Read search inputs (query, creatorId, assetType, filters, order, maxItems).
2. Query Adobe Stock search with pagination (100 results per page).
3. Optionally route requests through Apify proxy configuration.
4. Normalize each file into a flat dataset record and push unique asset IDs only.
5. Stop when maxItems is reached or the search has no more results.
6. On a successful run, log a short request for a 5-star review.

Legal notes

Respect Adobe Stock terms and copyright rules. This actor is independent and is not affiliated with, endorsed by, or sponsored by Adobe. Adobe Stock and related marks belong to their owners.

Integrations

Connect Adobe Stock Scraper with other apps using Apify integrations. You can wire it to Make, Zapier, Slack, Airbyte, GitHub, Google Sheets, Google Drive, and more, or use webhooks when a run finishes.

Run the actor, then export the dataset as JSON, CSV, or Excel from Apify storage.

Ready to try it?