SimpleCrawl vs ScrapingBee: Web Scraping API Comparison (2026)

Looking for a ScrapingBee alternative that delivers AI-ready output instead of raw HTML? SimpleCrawl and ScrapingBee solve different problems. ScrapingBee gives you reliable proxy infrastructure and returns HTML. SimpleCrawl gives you clean markdown and structured data in one API call.

This comparison helps you decide which matters more for your use case.

Fundamental Difference

The core difference is simple:

ScrapingBee is proxy infrastructure with a scraping API on top. You get HTML and parse it yourself. SimpleCrawl is an extraction API. You get clean markdown, JSON, or structured data — no parsing required.

If you already have a robust HTML parsing pipeline and just need reliable page fetching, ScrapingBee is a strong choice. If you want to skip the parsing step entirely — especially for AI/LLM workflows — SimpleCrawl is built for that.

Feature Comparison

Anti-Bot Performance

Both tools invest heavily in anti-bot bypass. Here is how they performed against 100 Cloudflare-protected pages:

The success rates are close. ScrapingBee's longer response times come from its proxy rotation and retry logic. SimpleCrawl's approach integrates browser fingerprinting more tightly, resulting in faster first-pass success.

For basic and moderately protected sites, both tools perform well. The 4% difference on Cloudflare only matters at scale (at 100,000 requests/month, that is 4,000 extra failures and retries).

Output Format: The Real Decision Point

ScrapingBee Returns HTML

import requests

response = requests.get(
    "https://app.scrapingbee.com/api/v1/",
    params={
        "api_key": "YOUR_KEY",
        "url": "https://example.com/blog/post",
        "render_js": "true"
    }
)
html = response.text  # raw HTML — you parse it

You then need BeautifulSoup, lxml, or a similar library to extract the content you want. For a blog post, that means writing selectors for the article body, stripping navigation, cleaning up whitespace, and converting to your target format.

SimpleCrawl Returns Clean Data

import simplecrawl

client = simplecrawl.Client(api_key="YOUR_KEY")
result = client.scrape("https://example.com/blog/post", output="markdown")
print(result.markdown)  # clean markdown, ready for LLM

No parsing step. No BeautifulSoup. No CSS selectors. The markdown output has navigation, ads, and boilerplate already stripped.

What This Means for Development Time

We timed how long it takes to build a working scraping pipeline for a common task — extracting blog content from 10 different sites:

The difference compounds over time. HTML parsing rules break when sites update their layouts. With ScrapingBee, you maintain those rules. With SimpleCrawl, the API handles layout changes.

Pricing Comparison

ScrapingBee Pricing

Critical detail: ScrapingBee's credit multipliers change your effective cost dramatically. A JavaScript-rendered request costs 5x. A Google SERP request costs 25x. Premium proxy requests cost 10–75x.

SimpleCrawl Pricing

SimpleCrawl has no credit multipliers. Every page costs 1 credit regardless of rendering mode or protection level.

Real Cost Scenarios

10,000 JS-rendered pages/month:

• ScrapingBee: $49/mo (Freelance plan, but JS rendering uses 50,000 of 150,000 credits)
• SimpleCrawl: $79/mo (Growth plan)

ScrapingBee is cheaper here — if you only need HTML.

10,000 JS-rendered pages + parsing to markdown:

• ScrapingBee: $49/mo + engineering time for HTML→markdown pipeline
• SimpleCrawl: $79/mo (markdown included)

Factor in 10+ hours of initial development and 1–3 hours/month of maintenance for the ScrapingBee pipeline. At typical developer rates, SimpleCrawl is significantly cheaper in total cost.

50,000 pages/month, mix of JS and anti-bot:

• ScrapingBee: $99/mo (Startup plan), but credit multipliers may push you to Business at $249/mo
• SimpleCrawl: $199/mo (Scale plan)

At this volume, the pricing is comparable, but SimpleCrawl includes structured extraction and markdown output.

Where ScrapingBee Wins

SERP Scraping

ScrapingBee has a dedicated Google search scraping endpoint that returns structured SERP data. SimpleCrawl does not offer SERP-specific scraping. If Google search results are a primary data source, ScrapingBee is the better tool.

Screenshot API

ScrapingBee can capture full-page or element-level screenshots. SimpleCrawl focuses on data extraction, not visual capture.

Raw HTML Volume

If you need massive volumes of raw HTML (millions of pages/month) and have your own parsing infrastructure, ScrapingBee's pricing at the Business/Enterprise tiers is very competitive per request.

Geographic Coverage

ScrapingBee's proxy network covers more countries with more granular city-level targeting. For geo-specific scraping (local search results, regional pricing), ScrapingBee has the edge.

Where SimpleCrawl Wins

AI/LLM Workflows

Every page you scrape with SimpleCrawl is immediately usable in an LLM pipeline. No parsing, no cleaning, no converting. This is the primary differentiator for teams building RAG pipelines, AI agents, or any application that feeds web data into language models.

Structured Extraction

SimpleCrawl's schema-based extraction returns exactly the fields you define. Extract product names, prices, ratings, and descriptions as typed JSON without writing any selectors:

curl -X POST https://api.simplecrawl.com/scrape \
  -H "Authorization: Bearer YOUR_KEY" \
  -d '{
    "url": "https://store.example.com/product/123",
    "output": "json",
    "schema": {
      "product_name": "string",
      "price": "number",
      "currency": "string",
      "rating": "number",
      "in_stock": "boolean"
    }
  }'

With ScrapingBee, you would write site-specific CSS selectors and parsing logic for each target site.

Batch Processing

SimpleCrawl accepts batches of URLs and delivers results via webhook. ScrapingBee processes one URL per request — you orchestrate batching yourself.

Predictable Billing

No credit multipliers means your bill is exactly what you expect. With ScrapingBee, a month of "150,000 credits" might mean 150,000 requests or 30,000 requests (if all are JS-rendered) or 6,000 requests (if using premium proxies).

Migration Path: ScrapingBee to SimpleCrawl

If you are currently using ScrapingBee for data extraction and spending engineering time on HTML parsing, migrating to SimpleCrawl eliminates that parsing layer:

# Before: ScrapingBee + BeautifulSoup
import requests
from bs4 import BeautifulSoup

resp = requests.get("https://app.scrapingbee.com/api/v1/", params={
    "api_key": "SCRAPINGBEE_KEY",
    "url": "https://example.com/article",
    "render_js": "true"
})
soup = BeautifulSoup(resp.text, "html.parser")
article = soup.select_one("article, .post-content, main")
# ... 50+ lines of cleaning, formatting, edge cases ...

# After: SimpleCrawl
import simplecrawl
client = simplecrawl.Client(api_key="SIMPLECRAWL_KEY")
result = client.scrape("https://example.com/article", output="markdown")
markdown = result.markdown  # done

Keep ScrapingBee for SERP scraping and screenshots. Use SimpleCrawl for content extraction.

FAQ

Is SimpleCrawl a ScrapingBee replacement?

For content extraction and AI workflows, yes. SimpleCrawl replaces ScrapingBee plus your HTML parsing pipeline. For SERP scraping, screenshots, and high-volume raw HTML fetching, ScrapingBee remains a better fit.

Does ScrapingBee return markdown?

No. ScrapingBee returns raw HTML. You need to build or integrate an HTML-to-markdown conversion pipeline. You can use our free HTML to Markdown tool for testing, but production use requires a programmatic solution. SimpleCrawl returns markdown natively.

Which has better anti-bot bypass?

Both are strong. SimpleCrawl scored 95% on Cloudflare-protected sites vs ScrapingBee's 91% in our tests. ScrapingBee offers more proxy control (country, city, ASN targeting) which can help for specific edge cases.

Can I use ScrapingBee for AI/RAG applications?

Yes, but you need an additional parsing layer. Fetch HTML with ScrapingBee, convert to markdown or text, then feed to your LLM. SimpleCrawl does this in a single API call. See our RAG pipeline use case for details.

Which is cheaper for web scraping?

For raw HTML at volume: ScrapingBee. For extracted content ready for use: SimpleCrawl (when you factor in the engineering cost of building and maintaining a parsing pipeline).

Does SimpleCrawl support Google SERP scraping?

Not currently. For SERP data, use ScrapingBee or a dedicated SERP API. SimpleCrawl focuses on page content extraction.

The Bottom Line

ScrapingBee is excellent proxy infrastructure for teams that need raw HTML at scale and have the engineering capacity to parse it. It is the better choice for SERP scraping, screenshots, and very high-volume raw HTML collection.

SimpleCrawl is the better choice when you need the data on the page, not the HTML. For AI/LLM applications, content aggregation, lead generation, and any workflow where you want to skip straight to usable data, SimpleCrawl saves significant development and maintenance time.

For a full landscape comparison, see our Best Web Scraping APIs in 2026 guide.