POST /v1/images · engine=duckduckgo
DuckDuckGo Image Search API
DuckDuckGo's image results with full-size URLs, thumbnails, dimensions and the page each image comes from. One credit usually returns 50 to 90 images.
Updated
Overview
What the DuckDuckGo Image Search API does
DuckDuckGo's web results come largely from Bing's index; its news, images and videos come from its own feeds. Use it for DuckDuckGo's results without scraping it yourself, or as a fallback with broad image and video coverage.
/v1/images with engine: "duckduckgo" returns DuckDuckGo's image results: image_url, thumbnail_url, image_width, image_height, and the link, domain and source of the host page.
What you get
-
results[]array - Images: position, title, image_url (full size), thumbnail_url, image_width, image_height, and the host page's link, domain and source.
-
metaobject - request_id, credits_used, cached, latency_ms, parse_quality, engine (the provider that answered) and route (each provider attempt with outcome and ms).
Request
curl https://api.serpkite.com/v1/images \
-H "Authorization: Bearer $SERPKITE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"q":"espresso machine","engine":"duckduckgo"}'Response (live response, trimmed)
{
"request": {
"country": "us",
"endpoint": "images",
"engine": "duckduckgo",
"language": "en",
"num": 10,
"page": 1,
"q": "espresso machine"
},
"results": [
{
"domain": "tiendamia.com",
"image_height": 1415,
"image_url": "https://m.media-amazon.com/images/I/81ABm7+MerL._AC_SL1500_.jpg",
"image_width": 1500,
"link": "https://tiendamia.com/ar/producto?amz=B0DJSLMTWY",
"position": 1,
"source": "tiendamia.com",
"thumbnail_url": "https://tse2.mm.bing.net/th/id/OIP.nuxCLYiFGF3PicOuOkmiugHaG_?r=0&pid=Api",
"title": "Espresso Machine with Built-in Grinder,Professional 15 Bar Espresso ..."
},
{
"domain": "madtasting.com",
"image_height": 575,
"image_url": "https://madtasting.com/wp-content/uploads/2024/08/top_espresso_machines_2024-16.jpg",
"image_width": 1006,
"link": "https://madtasting.com/vetted/best-commercial-super-automatic-espresso-machine/",
"position": 2,
"source": "madtasting.com",
"thumbnail_url": "https://tse1.mm.bing.net/th/id/OIP.ZGckgsDI_cvaMuwsSFNVTgHaEO?r=0&pid=Api",
"title": "15 Best Commercial Super Automatic Espresso Machines of 2025 - Brew ..."
}
],
"meta": {
"request_id": "req_01J8ZK4M6Q2V7",
"credits_used": 1,
"cached": false,
"engine": "duckduckgo",
"route": [
{
"provider": "duckduckgo",
"outcome": "ok",
"ms": 2455
}
],
"latency_ms": 2475,
"parse_quality": "ok"
}
}
Every response also carries X-Credits-Used, X-Credits-Remaining,
X-Cache and X-Tokens-Estimate headers.
Run this query in the playground
One key, many engines
DuckDuckGo through SerpKite
- Same key, same envelope and the same SDK call as Google: only
enginechanges. meta.enginenames the provider that answered andmeta.routelists every attempt. A result is never relabelled.engine: "auto"keeps Google first and falls back to DuckDuckGo and the other engines only when Google fails. How fallback works- Failed, blocked and empty attempts are free; you pay only for the provider that answered.
Everything DuckDuckGo serves on SerpKite
-
DuckDuckGo Search API
POST /v1/search · engine=duckduckgo -
DuckDuckGo News API
POST /v1/news · engine=duckduckgo -
DuckDuckGo Image Search API
POST /v1/images · engine=duckduckgo -
DuckDuckGo Video Search API
POST /v1/videos · engine=duckduckgo
See all engines on the multi-engine search page or in the providers reference.
engine=auto answered by DuckDuckGo (illustrative)
{
"request": {
"endpoint": "images",
"engine": "auto",
"q": "espresso machine"
},
"meta": {
"engine": "duckduckgo",
"route": [
{
"provider": "google",
"outcome": "blocked",
"ms": 2140
},
{
"provider": "duckduckgo",
"outcome": "ok",
"ms": 640
}
]
}
}Measured Oct 25, 2026
How DuckDuckGo behaves on this endpoint
Three queries ("espresso machine", "northern lights norway", "mid century modern chair") sent to /v1/images with engine=duckduckgo through the production API.
- Images per page
- 57 to 92, depending on the query
- Median response time
- 2.8 s
- Fields on every image
title,image_url,thumbnail_url,image_width,image_height,link,domainandsource- Image size
- Median width 1,200 px; 83% at least 1,000 px wide
- Host sites
- 117 different domains across 228 images
Filters and limits
- Images come from DuckDuckGo's JSON image feed, which needs a per-query token. SerpKite gets the token for you; it's reused for later pages of the same query.
-
timeworks forday,week,monthandyear.time: "hour"and custom date ranges are a400 invalid_requestand aren't charged. -
countryandlanguagepick one of DuckDuckGo's regions; a country without one searches worldwide. - On the same three queries, DuckDuckGo returned fewer images per page than Brave (228 against 300) but larger ones, from twice as many sites (117 against 56). Use it when you want big, varied images; use Brave when you want the most images per credit.
- One page costs 1 credit however many images it holds.
Reference
Parameters
The parameters /v1/images accepts, in the JSON body or the query string.
| Name | Type | Default | Description |
|---|---|---|---|
q
required
|
string | – | The search query. Required. Up to 2,048 characters. |
engine
|
string | string[] | "duckduckgo" for this page. "auto" tries Google first and falls back to other engines; a list such as ["google", "duckduckgo"] limits the route to those engines. | |
country
|
string | us | Country to search from, as a two-letter ISO code (us, gb, de, in…). Defaults to the country a location ends in. |
language
|
string | en | Interface language, as a language code with an optional region (en, de, pt-BR, zh-TW…). |
page
|
integer | 1 | Results page, 1–10. Each page is billed separately. |
format
|
string | json | Response format. markdown is LLM-ready prose; compact is JSON with only the fields agents need. Values: json, compact, markdown. |
fields
|
string | – | Comma-separated projection, e.g. results.title,results.link,knowledge_graph. Cuts tokens. |
max_age
|
integer | – | Accept a cached result up to this many seconds old. Cache hits cost 50% of the credits. |
Full reference, error codes and headers are in the /v1/images reference. Queue up to 100 requests at half price with POST /v1/batches.
Use cases
What people build with the DuckDuckGo Image Search API
Media search
DuckDuckGo images and videos return large result sets per page, with dimensions, durations and channels.
Fallback for agents
engine=auto answers from DuckDuckGo when Google and the engines before it are unavailable.
Privacy-minded products
Show DuckDuckGo's results in a product that promises users a non-Google source.
Pricing
DuckDuckGo Image Search API pricing
Cost per call
1 credit
per page of results
- From $0.60 per 1,000 calls at volume.
- Credits never expire. No subscription.
- Failed, empty and blocked calls are refunded.
- 2,500 free credits = 2,500 calls, then 1,000 credits a month.
For reference: Serper lists Google searches at $1.00 per 1k on its entry tier and $0.30 at its best tier, and its credits expire after 6 months. SerpKite credits cost $1.00 to $0.60 per 1k.
| Pack | Price | Per 1k credits | Per 1k calls | Calls per pack |
|---|---|---|---|---|
| Starter | $10 | $1.00 | $1.00 | 10,000 |
| Growth | $50 | $0.80 | $0.80 | 62,500 |
| Pro | $300 | $0.60 | $0.60 | 500,000 |
FAQ
DuckDuckGo Image Search API: common questions
Keep exploring
Related APIs and integrations
Use it from
Start building
Start with the DuckDuckGo Image Search API
2,500 free credits, then 1,000 every month. No credit card.