A ScrapingBee alternative for Google Search.
SERP + Reader API.
Compare ScrapingBee Google Search requests with SearchCans Google and Bing SERP plus Reader API. ScrapingBee documents 10-credit Light and 15-credit Regular requests; SearchCans standard Google or Bing SERP calls use 1 credit.
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 Google, Bing, and Reader API | ScrapingBee |
|---|---|---|
| Google Search plan rate: Light Request | from $0.56/1K | $1.96-$0.75/1K (10 credits) |
| Google Search plan rate: Regular Request | 1 credit per standard SERP call | $2.94-$1.12/1K (15 credits, calculated) |
| Billing model | Prepaid credit packs | Published monthly plans |
| Credit window | Valid 6 months | Monthly plan allocation |
| Search coverage in this comparison | Structured Google and Bing SERP | Google Search API |
| Reader API | Yes: Reader API (2 credits) | Evaluate separately for your workflow |
| Concurrency model | Parallel Lanes + Lane Stacking | 50-400 published plan slots; Custom |
| Free tier | 100 credits, no card | 1,000 API credits, no card |
ScrapingBee Google API documentation and public plan table checked August 28, 2026. Plan rates are calculated from published prices, searches, and request-type credit costs.
A Focused Path from Search Results to Usable Context
Structured SERP Data Without a Parsing Step
SearchCans returns structured Google and Bing SERP data directly, so application code can work with positions, URLs, titles, descriptions, and engine-specific fields instead of parsing a results page.
Reader API for Markdown Workflows
SearchCans Reader API returns clean Markdown from public URLs, including headings, paragraphs, code blocks, and lists. Use standard mode for ordinary pages and mode 1 when browser rendering is needed before extraction.
Parallel Lanes for In-Flight Work
ScrapingBee's published plans list 50, 100, 200, and 400 concurrent requests. SearchCans uses Parallel Lanes: each lane handles one in-flight request, and eligible prepaid packs add lanes when a workflow needs more concurrency.
File Extraction for Source Documents
SearchCans Reader can parse PDFs, DOCX, and XLSX from a URL when a workflow needs source-document text alongside web-page extraction.
Search → Extract → Feed to LLM
A compact RAG data pipeline that combines structured SERP data with Reader Markdown.
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 the Markdown context to your LLM
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). Structured results and Reader Markdown in one workflow. Full API docs →
Frequently Asked Questions
How do Google Search request costs compare?
ScrapingBee's Google API documentation lists 10 credits for the default Light Request and 15 for a Regular request. Its published Google plans work out to $1.96-$0.75 per 1,000 Light Requests; Regular requests calculate to $2.94-$1.12 per 1,000. SearchCans charges 1 credit for a successful standard Google or Bing SERP call, with prepaid packs from $0.90 to $0.56 per 1,000 standard SERP calls.
How do their concurrency models differ?
ScrapingBee's published plans list 50, 100, 200, and 400 concurrent requests, followed by Custom. SearchCans uses Parallel Lanes: each lane handles one in-flight request, and eligible prepaid packs add lanes.
When should I use the Reader API?
Use the Reader API when a workflow needs readable content from a public URL. Standard mode returns Markdown for 2 credits; use mode: 1 when a page needs browser rendering before extraction.
What SERP engines does SearchCans support?
SearchCans supports Google Web, Google News, Google Images, Google Shopping, Google Videos, Google Short Videos, and Bing Web. Successful standard Google and Bing SERP calls cost 1 credit and return structured response fields for the selected engine.
Your AI Deserves Clean, Structured Data.
SERP, extraction, screenshots, and file parsing through one API key. Start with 100 free credits and use the Google, Bing, or Reader API that fits the workflow.
Get Started NowPay-per-request · Credits valid 6 months · 7-day money-back on paid plans