SearchCans is a search and content-extraction API service for AI workflows. One API key gives access to real-time Google and Bing search results returned as structured JSON, plus a Reader API that turns any web page, PDF or Office document into clean Markdown or HTML. Extras include Shopping, Images, News and Video SERP endpoints, file extraction and web screenshots. Pricing is prepaid credits with no subscription: the Standard pack is $18 for 20K credits and the Starter pack is $99 for 132K credits, and new accounts get 100 free credits.
The audience is developers and technical teams building AI agents, retrieval-augmented generation pipelines and LLM applications that need current web context, plus teams building search features or rank monitoring on top of SERP data. A quick-start example shows two Python requests, one to search and one to read the first result, so a developer comfortable with REST calls can be running within minutes. Teams that need more throughput can add parallel lanes without changing keys.
Use cases center on grounding AI answers in live sources: an agent searches Google, picks a URL, and the Reader endpoint returns LLM-ready Markdown for summarization or retrieval. Others use the JSON SERP data for monitoring, production search features or documentation workflows, converting pages and PDFs to Markdown for a knowledge base. Credits stay valid for six months, every plan includes access to the Google, Bing and Reader APIs, and a live status board shows success rates for each API.
