SearchCans: Real-Time Google & Bing SERP API + Web to Text API for AI Agents

Most SERP APIs charge $5–$10 per 1,000 requests and throttle you with hourly rate limits. If you are building AI agents or RAG pipelines that depend on live web data, that pricing model and those bottlenecks become a real problem fast. SearchCans was built to solve exactly this.

Two APIs, One Credit Pool

SearchCans is a dual-engine platform that combines a SERP API and a Reader API under a single authentication key and a unified credit pool.

SERP API — POST to /api/v1/search and get real-time results from Google and Bing in structured JSON. Beyond standard organic results, you can toggle extraction of AI Overviews, Knowledge Graph, People Also Ask, News aggregation, and Video aggregation with boolean parameters. The t parameter selects the engine: google, bing, google_news, google_shopping, google_images, google_videos, or google_short_videos. Country and language targeting is built in.

Reader API — POST to /api/v1/url and convert any web page into clean, LLM-ready Markdown. It supports a headless browser rendering mode for JavaScript-heavy sites, configurable wait times, and tiered proxy options when standard requests get blocked. Two bonus features ship at zero additional credit cost: Web Screenshot capture (first screen or full page) and File Extraction that parses PDFs, DOCX, and XLSX into text.

Parallel Lanes, Not Rate Limits

The biggest architectural difference from other providers is the Parallel Lane model. Instead of capping you at N requests per hour, SearchCans gives each plan a set of concurrent lanes. A lane is one request running right now. When it finishes, the lane is immediately available again. The result: you can burst as hard as your workload demands without hitting hourly throttle walls.

Plans stack, too. Buy two Starter plans and your account gets 6 lanes instead of 3. Need enterprise-grade throughput? The Ultimate plan provides 68 parallel lanes — roughly 81,600 requests per hour at average latency.

Pricing That Actually Makes Sense

There are no monthly subscriptions or hidden fees. You buy a prepaid credit pack and use it across both APIs:

• Standard — 20K credits for $18 ($0.90/1K), 2 lanes
• Starter — 132K credits for $99 ($0.75/1K), 3 lanes
• Pro — ~1M credits for $597 ($0.60/1K), 22 lanes
• Ultimate — 3M credits for $1,680 ($0.56/1K), 68 lanes

Credits are valid for 6 months. Standard SERP requests cost 1 credit; Reader API costs 2 credits in standard mode. You only get charged for successful responses. New signups get 100 free credits to test everything — no card required.

Why This Matters for AI Developers

If you are building autonomous agents, the discovery phase alone can burn through hundreds of search requests per minute. Sequential fetching kills the user experience. With SearchCans, a typical workflow looks like this:

1. Fire a SERP API call to get the top 10 results for a query.
2. In parallel, send all 10 URLs to the Reader API.
3. Feed the combined Markdown into your LLM for summarization or grounding.

The entire round trip completes in seconds, not minutes. No proxy rotation to manage, no headless browser infrastructure to maintain, no hourly limits to engineer around.

SearchCans also recently shipped engines for Google News, Google Shopping, Google Images, Google Videos, and Google Short Videos — all accessible through the same endpoint by changing a single parameter. If your agent needs to automate monitoring across verticals, one API key covers all of them.

The platform targets 99.99% uptime and their most recent 21-day stress test recorded 99.997% availability. For teams that need to organize large-scale data collection without worrying about infrastructure reliability, that number matters.

Try it free at searchcans.com — 100 credits, no card required.