search-image▌
images.nasa.gov/search-image-npltef · updated May 21, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Search NASA's Image and Video Library for images, videos, or audio by free-text query, filters (center, keywords, photographer, year range, location, album), or known NASA asset ID, returning each match's metadata and direct URLs to every file rendition. Read-only.
| name | search-image |
| title | NASA Images Search |
| description | >- Search NASA's Image and Video Library for images, videos, or audio by free-text query, filters (center, keywords, photographer, year range, location, album), or known NASA asset ID, returning each match's metadata and direct URLs to every file rendition. Read-only. |
| website | images.nasa.gov |
| category | media |
| tags | - nasa - images - media - space - search - public-api - read-only |
| source | 'browserbase: agent-runtime 2026-05-18' |
| updated | '2026-05-18' |
| recommended_method | api |
| alternative_methods | - method: browser rationale: >- Only useful when the JSON API is unreachable or you specifically need a screenshot of the rendered SPA search page. The browser path is ~100x more expensive per query because the SPA at images.nasa.gov calls the same JSON API under the hood, while browse snapshot of /search?q=... returns 0 listing refs (fully JS-hydrated cards). |
| verified | false |
| proxies | false |
NASA Images Search
Purpose
Search NASA's Image and Video Library for media (images, videos, audio) matching a free-text query, filters (center, keywords, photographer, year range, location, album), or a known NASA asset ID, and return each match's title, description, NASA ID, date, capture center, media type, and direct URLs to every rendition (thumb/small/medium/large/original for images; mp4/mov/srt for videos). Read-only — never uploads, edits, or comments.
When to Use
- Find photos / videos for a topic (e.g. "Apollo 11", "Mars Perseverance", "Hubble nebula") for use in articles, slide decks, or downstream image-analysis pipelines.
- Resolve a known
nasa_id(e.g.PIA23591,as11-40-5874) to its full set of file renditions and EXIF metadata. - Enumerate an entire NASA album (e.g.
Mars_2020_Perseverance) page by page. - Bulk-build image datasets filtered by capture center (JSC, JPL, KSC, GSFC, HQ, …), photographer, or year range.
- Anywhere you'd otherwise scrape
images.nasa.gov— the public JSON API is faster, cheaper, fully unauthenticated, and structurally more reliable.
Workflow
The NASA Image and Video Library web UI at https://images.nasa.gov is a thin React SPA over a fully public JSON API at https://images-api.nasa.gov. No API key, no auth, no cookies, no Referer header, no User-Agent gating, no Verified, and no residential proxy. A plain HTTPS GET from any IP works. Lead with the API; only fall back to the browser UI if you specifically need to capture an on-page screenshot of the search-results page itself. The browser path is ~100× more expensive for the same data because the SPA hydrates the same JSON endpoint behind a fully JS-rendered page (browse snapshot of /search?q=... returns 0 listing refs).
-
Build the search URL. Base path:
https://images-api.nasa.gov/search. Compose any combination of these query params (at least one filter is required — see gotcha below):Param Meaning Notes qFree-text query Searches title + description + keywords. Space → %20or+.media_typeimage,video,audio, or comma-separated liste.g. media_type=image,video. Omit to search all types.centerNASA capture center Three-letter code: JSC,JPL,KSC,GSFC,HQ,MSFC,LRC,ARC,AFRC,SSC,GRC. Case-sensitive uppercase.keywordsComma-separated keyword list Matches against data[0].keywords.locationCapture location Free text, e.g. Kennedy Space Center. Matches againstdata[0].location.photographerPrimary photographer e.g. NASA/Bill Ingalls. URL-encode the/.secondary_creatorCredit / agency e.g. NASA/JPL-Caltech.titleTitle-only substring Narrower than q.descriptionDescription substring description_508508-compliant alt-text substring nasa_idExact asset ID lookup Single result. Equivalent to /asset/{nasa_id}for the metadata block only.year_start,year_endCapture-year bounds Inclusive, four-digit years (e.g. year_start=2020&year_end=2023). Filters againstdate_created.page1-based page number Default 1.page_sizeResults per page Default 100. Server accepts up to several hundred; throughbrowse cloud fetchthe practical ceiling is ~600 because the 1 MB Fetch response cap kicks in aroundpage_size=700(502 "response body exceeded 1MB"). Use 100 by default; raise only when you need fewer round-trips and have confirmed the response stays under 1 MB. -
Issue the GET:
browse cloud fetch \ "https://images-api.nasa.gov/search?q=apollo%2011&media_type=image&page_size=100"Response is JSON. The top-level shape is the NASA Collection+JSON envelope:
{ "collection": { "version": "1.1", "href": "<echoed request URL>", "items": [ /* see step 3 */ ], "metadata": { "total_hits": 5881 }, "links": [ { "rel": "next", "prompt": "Next", "href": "<next page URL>" } ] } }Read
collection.metadata.total_hitsfor the result count andcollection.links[?rel==next].hrefto drive pagination (see step 5). -
Decode each item.
collection.items[]is the result array. Each element has exactly three keys:href— URL to the per-asset manifest (https://images-assets.nasa.gov/{type}/{nasa_id}/collection.json). This is the same payload/asset/{nasa_id}returns and lists every file rendition (originals + thumbnails + metadata.json + captions.srt).data— single-element array;data[0]is the metadata object:Only{ "nasa_id": "PIA23591", "title": "Seeing the Mars 2020 Rover Off", "description": "On Feb. 11, 2020, ...", "description_508": "On Feb. 11, 2020, ...", // alt-text variant, may be missing "media_type": "image", // or "video" / "audio" "center": "JPL", "date_created": "2020-02-12T00:00:00Z", "keywords": ["Mars 2020 Rover"], // may be missing "album": ["Mars_2020_Perseverance"], // may be missing "location": "Kennedy Space Center", // may be missing "photographer": "NASA/Aubrey Gemignani", // may be missing "secondary_creator": "NASA/JPL-Caltech" // may be missing }nasa_id,title,media_type,center,date_createdare guaranteed present. Everything else is optional — guard withdata[0].get(key, default).links— array of file-rendition URLs previewable on the search-results card. Formedia_type=imageitems this is the full image set (thumb,small,medium,large,orig); formedia_type=videoitems this contains only thumbnail JPEGs + a.srtcaptions link — to enumerate the actual.mp4/.movvideo files you must call/asset/{nasa_id}(step 4). Each link looks like:The rendition suffix follows the pattern{ "href": "https://images-assets.nasa.gov/image/PIA23591/PIA23591~medium.jpg", "rel": "alternate", // or "preview" (thumb), "canonical" (orig), "captions" (.srt) "render": "image", // null for captions "width": 1280, "height": 916, "size": 112000 }{nasa_id}~{thumb|small|medium|large|orig}.{jpg|tif|png}. The~origfile may be.jpg,.png,.tif, or.tiffdepending on what was uploaded — read thehref, don't assume.jpg.
-
(Optional) Resolve full asset manifest for video files or EXIF metadata:
browse cloud fetch "https://images-api.nasa.gov/asset/PIA23591"Returns the same envelope but
items[]is now one entry per file (all renditions + ametadata.jsonentry). Use this to:- Get the original-resolution video file URL (
.mp4/.mov) formedia_type=videoitems. - Get the path to the full EXIF + AVAIL metadata JSON (the entry whose
hrefends in/metadata.json). - Get the captions
.srtURL.
Companion lookup endpoints:
https://images-api.nasa.gov/metadata/{nasa_id}— returns{"location": "<S3 URL>"}redirector. Fetch thelocationURL to get the full EXIF block (camera make/model, dimensions, allAVAIL:*fields).https://images-api.nasa.gov/captions/{nasa_id}— same redirector pattern, points to the.srtfile for videos.https://images-api.nasa.gov/album/{album_name}— returns the samecollectionenvelope filtered to one album. Album names are internal collection IDs likeMars_2020_PerseveranceorKSC_50th_Anniversary, not human-readable slugs — discover them by first running a search and readingitems[].data[0].album[].
- Get the original-resolution video file URL (
-
Paginate when
total_hits > page_size. Two equivalent paths:- Follow the server-provided next URL:
collection.links[?rel==next].href(already includes the incrementedpage). - Or increment
pageyourself:&page=2&page_size=100. Pages are 1-indexed.
When the response no longer contains a
links[].rel == "next"entry you've reached the last page. Stop atpage * page_size >= total_hitsas a safety bound. - Follow the server-provided next URL:
-
Build the public web URL for a result (for citing back to a user-facing page):
https://images.nasa.gov/details/{nasa_id}This is the SPA detail page. The API returns no direct field for it — just construct from
nasa_id. The URL renders for any valid NASA ID.
Browser fallback
Use only when the JSON API is unreachable (extremely rare — no documented downtime in our trace, no rate-limit at 10 req/s) or when you specifically need a screenshot of the rendered search page:
- Create a bare Browserbase session — no Verified, no proxies required.
images.nasa.govserves anonymous traffic without any anti-bot challenge.SID=$(browse cloud sessions create --keep-alive | jq -r '.id') - Navigate to
https://images.nasa.gov/search?q={query}&media_type=image(the SPA's search URL accepts the same param shape). - Wait ~3 seconds for hydration, then
browse get html bodyorbrowse snapshot. - The page hits
https://images-api.nasa.gov/search?...under the hood — capture the XHR viabrowser-traceand parse the same JSON shape from step 3 above, or fall back to regex-scraping the rendered cards (data-asset-id="<nasa_id>"plus.image-asset__image img[src]for the thumbnail). Always prefer the captured XHR over the rendered cards — the cards render only the visible page. - Release:
browse cloud sessions update "$SID" --status REQUEST_RELEASE.
Site-Specific Gotchas
- At least one search parameter is required. Bare
GET /searchreturns400 {"reason": "Expected 'q' text search parameter or other keywords."}.media_type=imagealone counts ("228,163 image hits");q=alone counts; any filter combination counts. Do not emit a bare/searchrequest even as a probe. page_sizeserver limit vs. transport limit. The API server itself accepts at leastpage_size=600. Throughbrowse cloud fetch, requests withpage_size >= 700(≈ 1 MB JSON) return502 "response body exceeded the maximum allowed size of 1MB"— that's the Fetch proxy, not NASA. Stick topage_size=100for general use; if you raise it, cap at 500 to stay safely under the Fetch limit, or switch to a browser session whose XHR isn't proxy-capped.- Most metadata fields are optional. Only
nasa_id,title,media_type,center,date_createdare guaranteed.keywords,album,location,photographer,secondary_creator,description,description_508are all sometimes-absent. Always.get(key)with a default. - Video search results don't include the actual video file URLs. For
media_type=videoitems,items[].links[]contains only thumbnail JPEGs (~thumb,~small,~medium,~large) plus a.srtcaptions link. To get the.mp4/.movoriginal, you must call/asset/{nasa_id}in a follow-up request. Images, by contrast, ship all five renditions directly in the search response. - Original-image file extensions vary.
{nasa_id}~origmay be.jpg,.png,.tif, or.tiff(verified:PIA23591~orig.jpg,NHQ201907190146~orig.tif). Read thehreffromlinks[].rel == "canonical"; don't construct the URL from the nasa_id + assume.jpg. - Some
nasa_idvalues contain literal spaces. Video asset IDs likeNDTV000908_Apollo_Digest_Series_Spacecraft for Apollohave unencoded spaces in theirhrefURLs as returned by the API. When following these URLs, URL-encode the space (%20) or your HTTP client will reject the request. centeris case-sensitive uppercase.center=jplreturns 0 hits;center=JPLreturns thousands. The canonical codes are the three- or four-letter NASA center abbreviations (JPL,JSC,KSC,GSFC,HQ,MSFC,LRC,ARC,AFRC,SSC,GRC).media_typeaccepts comma-separated lists.media_type=image,videoreturns mixed results in the same response — branch downstream ondata[0].media_typeper item. There is nomedia_type=alltoggle; omitting the param entirely is the "all types" search.year_start/year_endfilter againstdate_created, not upload date. Some assets have adate_createddecades before they were uploaded (e.g. Apollo-era photos uploaded in 2007). Filteringyear_start=2020excludes them even if NASA published them in 2020.- Album names are internal collection IDs, not slugs.
/album/apollo11returns404 {"reason": "No assets found for album=\"apollo11\" page=1"}. The right name is something likeApollo_11_50th_AnniversaryorKSC_50th_Anniversary. Discover the exact string by running a/search?q=apollo+11&page_size=5first and readingitems[].data[0].album[]. /metadata/{nasa_id}is a two-hop endpoint. It returns{"location": "<S3 URL>"}— the actual EXIF block lives at that S3 URL (animages-assets.nasa.gov/.../metadata.json). Same pattern for/captions/{nasa_id}(returns.srtURL). Fetch thelocationto get the actual payload. There is no direct-content variant.- 404 error bodies are JSON, not HTML.
/asset/<bad-id>→{"reason": "No AssetDB records for nasaid=..."}./album/<bad-name>→{"reason": "No assets found for album=\"...\" page=1"}. Parsereasonfor human-readable failure messages. - No auth, no rate-limit observed, no anti-bot. 10-request bursts from the same IP all returned 200 in our trace. NASA does not publish a documented rate-limit for this API; stay under ~10 req/s as a self-imposed politeness ceiling. No
Referer,User-Agent, or cookies are checked. hrefURLs may usehttp://(nothttps://). Several response fields — notably the/asset/{nasa_id}item hrefs — returnhttp://images-assets.nasa.gov/.... The same URLs work over HTTPS; upgrade the scheme client-side if you care about TLS.- Search SPA at
images.nasa.gov/search?...returns 0 snapshot refs. It's a JS-hydrated React app —browse snapshotafterwait loadshows the chrome but no per-result refs. Don't try to click cards; use the underlying API or capture the XHR.
Expected Output
{
"query": "apollo 11",
"filters": {
"media_type": "image",
"year_start": null,
"year_end": null,
"center": null,
"page": 1,
"page_size": 100
},
"total_hits": 5881,
"page": 1,
"page_size": 100,
"next_page_url": "https://images-api.nasa.gov/search?q=apollo+11&media_type=image&page_size=100&page=2",
"results": [
{
"nasa_id": "jsc2007e034221",
"title": "Apollo 11 spacecraft pre-launch",
"description": "Personnel atop the 402-ft. Mobile Service Structure look back at the Apollo 11 spacecraft as the tower is moved away during a Countdown Demonstration Test. Photo filed 11 July 1969.",
"media_type": "image",
"center": "JSC",
"date_created": "1969-07-11T00:00:00Z",
"keywords": ["Apollo", "Apollo 11", "Launch"],
"album": ["KSC_50th_Anniversary"],
"location": null,
"photographer": null,
"secondary_creator": null,
"asset_manifest_url": "https://images-assets.nasa.gov/image/jsc2007e034221/collection.json",
"details_url": "https://images.nasa.gov/details/jsc2007e034221",
"renditions": {
"thumb": { "url": "https://images-assets.nasa.gov/image/jsc2007e034221/jsc2007e034221~thumb.jpg", "width": 487, "height": 640, "size_bytes": 60000 },
"small": { "url": "https://images-assets.nasa.gov/image/jsc2007e034221/jsc2007e034221~small.jpg", "width": 487, "height": 640, "size_bytes": 60000 },
"medium": { "url": "https://images-assets.nasa.gov/image/jsc2007e034221/jsc2007e034221~medium.jpg", "width": 975, "height": 1280, "size_bytes": 176000 },
"large": { "url": "https://images-assets.nasa.gov/image/jsc2007e034221/jsc2007e034221~large.jpg", "width": 1463, "height": 1920, "size_bytes": 332000 },
"orig": { "url": "https://images-assets.nasa.gov/image/jsc2007e034221/jsc2007e034221~orig.jpg", "width": 2341, "height": 3072, "size_bytes": 1402000 }
}
}
]
}
Video result variant (media_type=video) — note renditions contains only thumbnails + captions; fetch asset_manifest_url to enumerate the .mp4/.mov files:
{
"nasa_id": "NDTV000908_Apollo_Digest_Series_Spacecraft for Apollo",
"title": "Apollo Digest Series — Spacecraft for Apollo",
"media_type": "video",
"center": "HQ",
"date_created": "1967-01-01T00:00:00Z",
"asset_manifest_url": "https://images-assets.nasa.gov/video/NDTV000908_Apollo_Digest_Series_Spacecraft%20for%20Apollo/collection.json",
"renditions": {
"thumb": { "url": "https://images-assets.nasa.gov/video/.../...~thumb.jpg" },
"captions": { "url": "https://images-assets.nasa.gov/video/.../....srt", "rel": "captions" }
},
"note": "Video file URLs (.mp4/.mov) require a follow-up GET to asset_manifest_url."
}
Not-found variant (when resolving a specific nasa_id via /asset/{nasa_id} or /album/{album_name}):
{
"success": false,
"reason": "asset_not_found",
"nasa_id": "THIS_DOES_NOT_EXIST_zzz",
"api_message": "No AssetDB records for nasaid=THIS_DOES_NOT_EXIST_zzz"
}
How to use search-image on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add search-image
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches search-image from GitHub repository images.nasa.gov/search-image-npltef and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate search-image. Access the skill through slash commands (e.g., /search-image) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.4★★★★★52 reviews- ★★★★★Yusuf Jain· Dec 28, 2024
search-image reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ira Khanna· Dec 16, 2024
Useful defaults in search-image — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Chaitanya Patil· Dec 12, 2024
Keeps context tight: search-image is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Pratham Ware· Dec 8, 2024
search-image fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Mia Shah· Dec 8, 2024
Registry listing for search-image matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Mia Brown· Nov 27, 2024
Useful defaults in search-image — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Maya Bhatia· Nov 19, 2024
I recommend search-image for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Maya Chawla· Nov 7, 2024
Registry listing for search-image matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Piyush G· Nov 3, 2024
search-image has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Yusuf Kapoor· Oct 26, 2024
search-image reduced setup friction for our internal harness; good balance of opinion and flexibility.
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