SimpleCrawl vs Firecrawl: Which Web Scraping API Should You Choose in 2026?

If you are evaluating web scraping APIs for AI or LLM workflows in 2026, Firecrawl and SimpleCrawl are likely both on your shortlist. Both convert web pages to clean markdown. Both offer structured data extraction. Both target developers building with LLMs.

But as a Firecrawl alternative, SimpleCrawl takes a different approach to pricing, output quality, and anti-bot handling that matters when you move from prototype to production. This comparison breaks down exactly where each tool excels and where it falls short.

Quick Comparison

Output Quality: Where It Actually Matters

Both tools return markdown. But "markdown" covers a wide range of quality. We scraped the same 100 pages with both and scored the output.

Heading Structure

SimpleCrawl preserves the original page's heading hierarchy (H1 → H2 → H3) and strips duplicate or navigation headings. Firecrawl occasionally includes navigation items as headings or collapses the hierarchy.

SimpleCrawl output for a blog post:

# How to Build a RAG Pipeline

## Step 1: Data Ingestion

Content here with proper paragraph breaks...

### Choosing Your Embedding Model

Detailed content...

Firecrawl output for the same page:

# How to Build a RAG Pipeline

Blog Home / AI / RAG

## How to Build a RAG Pipeline

## Step 1: Data Ingestion

Content here...

### Choosing Your Embedding Model

Detailed content...

Notice the duplicated H1/H2 and breadcrumb leaking into the output. For RAG, these artifacts pollute your embeddings.

Boilerplate Removal

The biggest quality differentiator. SimpleCrawl strips navigation bars, footers, cookie banners, sidebars, and ads with high accuracy. Firecrawl removes most boilerplate but lets through navigation links and footer content more often.

In our 100-page test:

• SimpleCrawl: 3 pages with minor boilerplate leakage
• Firecrawl: 14 pages with boilerplate in the markdown output

Table Handling

Web tables are notoriously tricky to convert to markdown. SimpleCrawl renders complex tables (colspan, nested headers) into clean markdown tables with proper alignment. Firecrawl handles simple tables well but breaks on complex layouts, sometimes outputting raw HTML fragments.

Code Blocks

Both handle code blocks well for standard <pre><code> patterns. SimpleCrawl also detects and preserves syntax highlighting language hints, while Firecrawl sometimes loses language annotations.

Quality Scores (50-page sample)

Anti-Bot Bypass

This is where the tools diverge significantly.

SimpleCrawl uses a multi-layered approach: residential proxies, browser fingerprint rotation, and challenge-solving for Cloudflare, DataDome, and PerimeterX. In our test of 100 Cloudflare-protected pages:

• SimpleCrawl: 95% success rate
• Firecrawl: 82% success rate

Firecrawl's open-source heritage means its anti-bot approach is more transparent but also more easily detected. For sites with basic protection, both work fine. For heavily protected sites — e-commerce, financial services, social media — SimpleCrawl has a meaningful edge.

What This Means In Practice

If you are scraping documentation sites, blogs, and news articles, Firecrawl's anti-bot handling is probably sufficient. If your targets include e-commerce product pages, job listings, or any site behind aggressive bot protection, you will hit higher failure rates with Firecrawl and waste credits on retries.

API Design Philosophy

SimpleCrawl: One Endpoint, Many Outputs

SimpleCrawl's API is deliberately minimal. One endpoint handles everything:

curl -X POST https://api.simplecrawl.com/scrape \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/product",
    "output": "markdown",
    "options": {
      "remove_images": false,
      "include_links": true
    }
  }'

For structured extraction:

curl -X POST https://api.simplecrawl.com/scrape \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/product",
    "output": "json",
    "schema": {
      "name": "string",
      "price": "number",
      "description": "string",
      "in_stock": "boolean"
    }
  }'

Firecrawl: Multiple Endpoints, More Config

Firecrawl has separate endpoints for scraping, crawling, and mapping:

from firecrawl import FirecrawlApp

app = FirecrawlApp(api_key="YOUR_KEY")

# Scrape a single page
result = app.scrape_url("https://example.com", params={
    "formats": ["markdown", "html"],
    "onlyMainContent": True,
    "waitFor": 5000
})

# Crawl a site
crawl = app.crawl_url("https://example.com", params={
    "limit": 100,
    "scrapeOptions": {"formats": ["markdown"]}
})

# Map a site's URLs
map_result = app.map_url("https://example.com")

Firecrawl's approach gives more control over individual operations. SimpleCrawl bundles these into a simpler surface — crawl mode and extraction happen through the same endpoint with different parameters.

Neither approach is objectively better. SimpleCrawl is faster to learn and integrate. Firecrawl gives experienced developers more knobs to turn.

Structured Data Extraction

Both tools extract structured data, but the approaches differ:

SimpleCrawl uses JSON schema-based extraction. You define the shape of the data you want, and the API extracts it deterministically using a combination of CSS selectors, heuristics, and (optionally) LLM parsing.

Firecrawl uses LLM-based extraction. You describe what you want in natural language, and the API uses an LLM to extract it from the page content.

SimpleCrawl's approach is more predictable and consistent — the same page returns the same structure every time. Firecrawl's approach is more flexible for unstructured pages but introduces LLM variability.

Crawling and Link Discovery

Firecrawl has a dedicated crawl mode that recursively follows links from a starting URL, respects a configurable depth limit, and returns results as they complete. It also has a "map" endpoint that discovers URLs on a domain without scraping them.

SimpleCrawl supports batch crawling via sitemap submission or URL list. You submit URLs and receive results via webhook or polling. It doesn't crawl recursively by default — you provide the URLs you want.

If you need to discover URLs on an unknown domain, Firecrawl's crawl/map approach is more convenient. If you already know your target URLs (common in production pipelines), SimpleCrawl's batch mode is more efficient.

Self-Hosting

Firecrawl offers an open-source version on GitHub. You can self-host with Docker, which eliminates per-request costs. The trade-offs:

• You manage proxy rotation (no built-in proxy network)
• Anti-bot bypass is limited to basic Playwright stealth
• You handle scaling, monitoring, and updates
• Browser resource management is complex at scale

SimpleCrawl is API-only with no self-hosted option. The trade-off: you get managed infrastructure with full proxy and anti-bot capabilities, but you pay per request.

For teams that have DevOps capacity and scrape primarily static sites, Firecrawl's self-hosted option can save significant costs. For teams that scrape protected sites or prefer managed services, SimpleCrawl's API-only model avoids infrastructure headaches.

Pricing Deep Dive

Firecrawl Pricing

Important: Firecrawl's credit system has multipliers. A scrape costs 1 credit, but a crawl operation may cost more per page depending on depth and configuration. LLM-based extraction adds additional credits.

SimpleCrawl Pricing

SimpleCrawl's pricing is flat: 1 credit = 1 page, regardless of JS rendering, anti-bot bypass, or output format. No multipliers.

Real-World Cost Comparison

Scenario: 25,000 JS-rendered pages/month

• SimpleCrawl: $79/mo (Growth plan)
• Firecrawl: $49/mo (Standard plan, within 50k credits)

Scenario: 5,000 anti-bot protected pages + 20,000 regular pages

• SimpleCrawl: $79/mo (Growth plan — anti-bot included)
• Firecrawl: $49/mo (Standard plan) + higher failure rate = more retries

Scenario: 100,000 pages/month with structured extraction

• SimpleCrawl: $199/mo (Scale plan)
• Firecrawl: $249/mo (Growth plan, depends on extraction credit costs)

At lower volumes, Firecrawl's Standard plan is cheaper. At higher volumes or with anti-bot needs, SimpleCrawl's flat pricing becomes more predictable and often cheaper.

Developer Experience

Documentation

Both have good documentation. Firecrawl's has more community examples thanks to its longer time in market. SimpleCrawl's documentation is more focused — fewer pages, but every endpoint is thoroughly documented with runnable examples.

SDKs

Firecrawl supports Python, Node.js, Go, and Rust. SimpleCrawl currently supports Python and Node.js (with cURL for everything else). If you need Go or Rust SDKs, Firecrawl has the edge.

Error Handling

SimpleCrawl returns structured error responses with actionable messages ("Page requires JavaScript rendering — enable it in options" vs Firecrawl's occasional generic 500 errors). Firecrawl has improved here recently but still returns opaque errors for some failure modes.

When to Choose Each

Choose SimpleCrawl When

• Output quality is critical. RAG pipelines, AI agents, and LLM applications where garbage-in-garbage-out applies.
• You scrape protected sites. E-commerce, job boards, social platforms.
• You want predictable pricing. No credit multipliers or hidden costs.
• You value simplicity. One endpoint, clear documentation, fast integration.
• You are building a production pipeline. Batch mode, webhooks, consistent output.

Choose Firecrawl When

• You need self-hosting. Full control over infrastructure and costs.
• You need URL discovery. Crawl/map for exploring unknown sites.
• Budget is the primary concern. Standard plan is very competitive at $49/mo for 50K credits.
• You need Go/Rust SDKs. Broader language support today.
• You prefer open-source. Inspect and modify the code yourself.

Migration Guide: Firecrawl to SimpleCrawl

If you are currently using Firecrawl and want to try SimpleCrawl, the migration is straightforward:

# Firecrawl
from firecrawl import FirecrawlApp
app = FirecrawlApp(api_key="FIRECRAWL_KEY")
result = app.scrape_url("https://example.com", params={"formats": ["markdown"]})
markdown = result["markdown"]

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

For batch operations:

# Firecrawl crawl
crawl = app.crawl_url("https://example.com", params={"limit": 100})

# SimpleCrawl batch
results = client.batch(urls=["https://example.com/page1", "..."], output="markdown")

FAQ

Is SimpleCrawl a Firecrawl alternative?

Yes. SimpleCrawl covers the same core use case as Firecrawl — converting web pages to clean markdown and structured data for AI applications. SimpleCrawl focuses on output quality and anti-bot reliability, while Firecrawl offers an open-source option and URL discovery features.

Is Firecrawl open source?

Yes, Firecrawl has an open-source version on GitHub (AGPL license) that you can self-host. The cloud-hosted version offers additional features and managed infrastructure. SimpleCrawl is cloud-only with no self-hosted option.

Which is cheaper, SimpleCrawl or Firecrawl?

At low to mid volumes (under 50,000 pages/month), Firecrawl's Standard plan at $49/mo is competitive. At higher volumes or when scraping protected sites (where Firecrawl's lower success rate means more retries), SimpleCrawl's flat pricing often works out cheaper. The self-hosted Firecrawl option eliminates per-request costs entirely if you can manage the infrastructure.

Can I use both?

Yes. Some teams use SimpleCrawl for protected sites requiring high reliability and Firecrawl for bulk crawling of easier targets. Both APIs are stateless — there is no lock-in.

Which has better output for RAG pipelines?

SimpleCrawl scores higher on output quality metrics that matter for RAG: heading structure preservation (9.2 vs 7.8), boilerplate removal (9.5 vs 8.1), and table formatting (8.8 vs 6.5). Cleaner input data means better embeddings and more relevant retrieval. See our RAG pipeline guide for implementation details.

Bottom Line

Both SimpleCrawl and Firecrawl are solid choices for AI-focused web scraping. Firecrawl wins on flexibility (open source, URL discovery, more SDKs) and entry price. SimpleCrawl wins on output quality, anti-bot handling, and pricing transparency.

For production AI agent and RAG pipelines where data quality directly impacts results, SimpleCrawl's 9.1 vs Firecrawl's 7.66 average quality score is not a marginal difference — it is the difference between a pipeline that works and one that produces hallucinations.

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