Purpose-Built for SERP + AI Extraction.
Not a General-Purpose Scraper.
ScrapingBee is a general-purpose headless browser API — Google SERP is one feature bolted on. SearchCans is purpose-built for AI data infrastructure: structured SERP across 7+ engines, URL-to-Markdown extraction, screenshots, and file parsing, from $0.56/1K, no subscription, Parallel Lanes with Lane Stacking.
7-day money-back guarantee · Credits valid 6 months · Only pay for successful requests
SearchCans vs. ScrapingBee
For Google SERP and AI data extraction specifically.
| Feature | SearchCans ✓ Clear winner | ScrapingBee |
|---|---|---|
| Google SERP price per 1,000 | from $0.75 | $1.96 – $0.75 (25 credits/call) |
| Billing model | Pay-as-you-go, one-time | Monthly subscription |
| Credits expire? | Valid 6 months | Reset monthly |
| Primary focus | AI data infrastructure | General web scraping |
| Google SERP types | 7 (web, news, images, shopping, video, short, Bing) | Web only (Search API) |
| URL → LLM-ready Markdown | Yes — Reader API (2 credits) | Raw HTML only |
| File extraction (PDF, DOCX, XLSX) | ||
| Concurrency model | Parallel Lanes + Lane Stacking | Fixed concurrent slots (10–200) |
| Free tier | 100 credits, no card | 1,000 API credits, no card |
| Refund policy | 7-day (≤10% used) | — |
ScrapingBee pricing based on public pricing at scrapingbee.com as of June 2026. SERP cost calculated from dedicated Search API plan (25 credits/call).
Why SERP + Extraction Belong in One Focused API
Purpose-Built for SERP, Not an Add-On
ScrapingBee started as a headless browser API and bolted on a Google SERP endpoint. SearchCans was built from day one for structured SERP data: 7 search types, structured JSON, 2–3s latency, 1 credit per call — optimized for every step of the AI data pipeline.
LLM-Ready Markdown, Not Raw HTML
ScrapingBee returns raw HTML — you still need to parse, clean, and chunk it before your LLM can use it. SearchCans Reader API returns clean Markdown: headings, paragraphs, code blocks, lists. Zero post-processing. Drop directly into any RAG pipeline or context window.
Lane Stacking vs. Fixed Concurrent Slots
ScrapingBee's concurrency is a hard plan ceiling: 10 slots on Freelance, 200 on Business+. SearchCans Parallel Lanes reopen the instant a request completes. Stack multiple eligible plans to add lanes — no ceiling. Pro plan handles ~26,400 req/hour at 3s average, stackable further.
Documents Parsed — Not Just Web Pages
SearchCans File Extraction API parses PDFs, DOCX, XLSX from a URL and returns clean text. ScrapingBee has no document parsing equivalent. For AI agents that ingest research papers, SEC filings, or technical reports — this is a critical capability that no headless browser gives you natively.
Search → Extract → Feed to LLM
A complete RAG data pipeline in under 15 lines. No HTML parsing, no DOM traversal, no post-processing.
import requests
h = {"Authorization": "Bearer YOUR_API_KEY"}
# 1. Get top 3 Google results — 1 credit each
results = requests.post(
"https://www.searchcans.com/api/v1/search",
headers=h,
json={"t": "google", "s": "LLM fine-tuning best practices 2026"},
timeout=30,
).json()["data"][:3]
# 2. Extract each page → clean Markdown — 2 credits each
context = []
for r in results:
md = requests.post(
"https://www.searchcans.com/api/v1/url",
headers=h,
json={"t": "url", "s": r["url"]},
timeout=30,
).json()["data"]["markdown"]
context.append(md)
# 3. Feed directly to your LLM — no HTML parsing needed
llm_context = "\n\n---\n\n".join(context)
# Total cost: 1 (SERP) + 3×2 (Reader) = 7 credits (~$0.005)
print(f"{len(llm_context)} chars of LLM-ready context")Total: 7 credits (~$0.005). No HTML parser, no headless browser overhead. Full API docs →
Frequently Asked Questions
Is SearchCans cheaper than ScrapingBee for SERP data?
Yes. ScrapingBee charges 25 credits per Google SERP call on their Search API plan. Their $49/month Freelance plan (250,000 credits) gives 10,000 SERP calls — $4.90 per 1,000. SearchCans Starter is $0.75/1K one-time, valid 6 months. No monthly resets.
Does SearchCans render JavaScript like ScrapingBee?
For SERP, no JS rendering is needed — SearchCans returns structured JSON directly. For the Reader API, set b=1 to enable headless browser rendering before Markdown extraction. You can also choose proxy tiers (0–3): no proxy, shared, datacenter, or residential.
How does SearchCans handle concurrency vs. ScrapingBee's fixed slots?
ScrapingBee sets a hard concurrent request cap per plan tier. SearchCans Parallel Lanes reopen immediately when a request completes — continuous throughput, no waiting for a slot. Stack multiple plans via Lane Stacking to increase lanes without any ceiling.
What SERP engines does SearchCans support?
Google Web, Google News, Google Images, Google Shopping, Google Videos, Google Short Videos, and Bing Web — all returning structured JSON at 1 credit per call. ScrapingBee's dedicated Search API covers Google Web only.
Your AI Deserves Clean, Structured Data.
SERP + extraction + screenshots + file parsing. One API key, one bill, purpose-built for AI pipelines. 100 free credits, no card, your first call in under 60 seconds.
Get Started NowPay-per-request · Credits valid 6 months · 7-day money-back on paid plans