SearchCans

FAQ

Common questions about SERP API, Reader API, pricing, and integration.

Getting Started

What is SearchCans?

SearchCans is a SERP API + Reader API platform for real-time Google and Bing search results and web content extraction. It targets 99.99% uptime with a Parallel Search Lanes concurrency model — pricing from $0.56 per 1,000 credits on higher-volume plans.

How do I get started?

Create a free account on our registration page, get your API key from the dashboard, and make your first call. New users receive 100 free credits — no credit card required. See API documentation for detailed steps.

Which search engines and languages are supported?

Google and Bing via the t parameter. SearchCans works with any language that can make HTTP requests — Python, JavaScript, Java, PHP, Go, C#, etc. Code examples are in API documentation, and you can test live in the API Playground.

Pricing & Credits

How much does SearchCans cost?

Plans start at $18 for 20,000 credits. Higher-volume plans offer better rates — down to $0.56 per 1,000 credits on the Ultimate plan ($1,680 for 3M credits). Prepaid, no monthly fees. View all plans.

How does the credit system work?

Standard Google/Bing Search: 1 credit per request. Reader API standard mode: 2 credits. Premium add-ons like Proxy Pool tiers consume additional credits. Credits are deducted only for successful (HTTP 200) responses. See Pricing for full details.

Do failed requests cost credits?

No. You are only charged for HTTP 200 responses with valid data. Concurrency limits (-1010), timeouts (-1002), and auth errors (401/403) are never billed.

Do credits expire?

Credits are valid for 6 months from purchase. Check your balance and expiration in your dashboard.

Can I get a refund?

We offer a 7-day refund window from purchase, provided less than 10% of credits have been used. See Terms of Service §4.3 for full details.

Parallel Search Lanes & Scaling

What are Parallel Search Lanes?

A Parallel Search Lane is one request running at the same time. More lanes = more concurrent requests. When one finishes, the lane opens immediately — no hourly reset.

  • Standard: 2 Lanes
  • Starter: 3 Lanes
  • Professional: 22 Lanes
  • Ultimate: 68 Lanes

What is Lane Stacking?

Buy more than one eligible plan and their lanes add up in one account. A simple way to scale throughput.

  • 1× $99 (3 Lanes) + 1× $597 (22 Lanes) = 25 Lanes
  • 2× $1,680 = 136 Lanes

Credits are consumed in FIFO order. When one order runs out, its lanes detach automatically. For 100+ lanes, contact support@searchcans.com.

Do more lanes change credit cost?

No. Credits control usage volume. Lanes control concurrency. One request costs the same credits regardless of how many lanes you have.

What is the API response time?

SERP API: 2–3 seconds depending on query complexity. Reader API: 3–5 seconds for standard pages (full headless rendering). Heavier JS pages may take longer.

Reader API

What is Reader API?

Reader API converts any URL into clean, LLM-ready Markdown — title, content, metadata, images, and links in structured JSON. Built for RAG pipelines, training data, and content analysis. See the Reader API page.

Can it handle JavaScript websites?

Yes. Reader API renders JavaScript by default via headless browser, extracting full content from React, Vue, Next.js, and other dynamic sites — no extra setup required. For lightweight static HTML pages, switch render mode (mode=0) to skip the browser and lower latency. See Reader API docs.

What is the Proxy Pool?

A multi-tier proxy system for restricted URLs. proxy: 0 (standard, no extra cost), proxy: 1 (Shared, +2 credits), proxy: 2 (Datacenter, +5 credits), proxy: 3 (Residential, +10 credits). Start with standard and escalate only when needed. See Proxy Tiers & Credit Rules.

AI & LLM Integration

Is SearchCans suitable for AI applications?

Yes. SearchCans is built for AI agents, LLMs, and chatbots. Structured output works directly with ChatGPT, Claude, LangChain, LlamaIndex, and other frameworks. See integration guides in the API documentation.

Can I use it for LLM training data?

Yes. Reader API extracts articles as clean Markdown with preserved structure and metadata at scale — from $0.56/1K credits.

Ready to get started?

Pick a plan or try 100 free credits first.

Need implementation details? View Docs · Try Playground