Image search guide / 2026
Image Search API for AI Agents in 2026
An image URL alone is rarely enough for responsible reuse. A useful image-search response also carries the source, creator, license, dimensions, and preview metadata that downstream applications need.
Quick answer
Search reusable images without losing attribution.
Submit an image query and receive up to 20 public image documents with creator and license metadata when available. The normalized response helps applications preserve attribution while selecting visual sources.
curl --get 'https://webstractor.com/api/images' \
--data-urlencode 'q=solar panels' \
--data-urlencode 'limit=10' \
--data-urlencode 'format=json'Available data
What you can extract
- Up to 20 ordered public image documents
- Source and image URLs
- Creator and license metadata when available
- Dimensions, previews, and descriptive fields when exposed
AI workflows
Where normalized data helps
- Visual research assistants
- Licensed asset discovery
- Multimodal RAG source collection
- Editorial and presentation workflows
AI-ready output
Markdown for models. JSON for systems.
Raw HTML consumes tokens on navigation, scripts, styling, and interface labels. Clean Markdown keeps the readable hierarchy for LLM prompts and RAG chunks. Normalized JSON is better when your application needs an explicit semantic type, source, author, publication date, media, attributes, and collection items.
Always retain the canonical URL from the response. AI-generated summaries should remain traceable to the public source, especially when the underlying page can change.
Boundaries
Public data only
- License metadata must still be reviewed before reuse.
- The endpoint searches public catalogs rather than private media libraries.
- Availability and metadata completeness vary by source.
webstractor.com does not bypass CAPTCHAs, login walls, paywalls, access controls, or regional restrictions. Review the source’s terms and applicable law before collecting or reusing data.
Ready to try it?