February 18, 2026·Comparisons

Keiro vs Firecrawl: Web Scraping API Showdown 2026

Comparing Keiro's all-in-one AI search API with Firecrawl's web scraping focus. Learn when to use each tool and how Keiro combines search and crawling in one platform.

10 min readKeiro Team

Introduction

Keiro and Firecrawl serve overlapping but distinct purposes. Firecrawl is primarily a web scraping and crawling API — it excels at extracting clean content from web pages. Keiro is a comprehensive AI search API that includes web crawling as one of its many capabilities. Understanding this difference is key to choosing the right tool.

What Each Tool Does

Firecrawl

Firecrawl focuses on three core functions: scraping individual pages, crawling entire websites, and extracting structured data. It converts messy HTML into clean Markdown, handles JavaScript rendering, and can crawl thousands of pages following links.

Keiro

Keiro is an AI search platform with ten endpoints covering search, research, answer generation, web crawling, batch processing, and more. Its /web-crawler endpoint handles single-page extraction, while its search endpoints handle discovery.

Feature Matrix

Capability	Keiro	Firecrawl
Single Page Scraping	/web-crawler	/scrape
Multi-Page Crawling	Not available (single-page focus)	/crawl (full site)
AI-Optimized Search	/search, /search-pro	Not available
Research Synthesis	/research, /research-pro	Not available
Answer Generation	/answer	Not available
Batch Processing	/batch-search, /batch-research (free)	Not available
Structured Extraction	Basic (clean text)	Advanced (schema-based)
JavaScript Rendering	Yes	Yes
Starting Price	$5.99/mo (10k requests)	$19/mo (500 credits)

The Key Difference: Search vs Scraping

The fundamental distinction is this: Firecrawl helps you extract content from URLs you already know. Keiro helps you find the right URLs and extract content from them.

If your workflow is "I have a list of URLs and I need their content," Firecrawl's /crawl endpoint with its site-traversal capabilities is excellent. But if your workflow is "I have a question and I need relevant information from the web," Keiro's search + web-crawler combination is more efficient.

Code Examples

Extracting a Page with Keiro

import requests

response = requests.post("https://kierolabs.space/api/web-crawler", json={
    "apiKey": "your-keiro-api-key",
    "url": "https://example.com/blog/ai-trends-2026"
})

data = response.json()
print(data["content"])  # Clean extracted text
print(data["title"])    # Page title

Extracting a Page with Firecrawl

import requests

response = requests.post("https://api.firecrawl.dev/v1/scrape",
    headers={"Authorization": "Bearer your-firecrawl-key"},
    json={"url": "https://example.com/blog/ai-trends-2026"}
)

data = response.json()
print(data["data"]["markdown"])  # Markdown content

Search + Extract with Keiro (One Platform)

import requests

BASE = "https://kierolabs.space/api"
API_KEY = "your-keiro-api-key"

# Step 1: Search for relevant pages
search_resp = requests.post(f"{BASE}/search", json={
    "apiKey": API_KEY,
    "query": "AI agent frameworks comparison 2026"
})
results = search_resp.json().get("results", [])

# Step 2: Extract full content from the top result
if results:
    crawl_resp = requests.post(f"{BASE}/web-crawler", json={
        "apiKey": API_KEY,
        "url": results[0]["url"]
    })
    full_content = crawl_resp.json()["content"]
    print(full_content)

The Same Workflow with Firecrawl (Requires a Search API Too)

import requests

# Step 1: You need a SEPARATE search API (e.g., Keiro, Tavily, or SerpAPI)
search_resp = requests.post("https://kierolabs.space/api/search", json={
    "apiKey": "your-keiro-api-key",
    "query": "AI agent frameworks comparison 2026"
})
results = search_resp.json().get("results", [])

# Step 2: Then use Firecrawl to scrape the content
if results:
    crawl_resp = requests.post("https://api.firecrawl.dev/v1/scrape",
        headers={"Authorization": "Bearer your-firecrawl-key"},
        json={"url": results[0]["url"]}
    )
    full_content = crawl_resp.json()["data"]["markdown"]
    print(full_content)

Notice how the Firecrawl workflow requires two different APIs and two different API keys, while Keiro handles both in one platform.

Pricing Comparison

Firecrawl's pricing is credit-based. Each scrape operation costs 1 credit, and crawling costs 1 credit per page. The Hobby plan is $19/month for 500 credits. The Standard plan is $99/month for 50,000 credits.

Keiro's Lite plan gives you 10,000 requests for $5.99/month. Each request can be a search, a web crawl, a research query, or anything else. And batch operations are free.

When to Choose Firecrawl

You need to crawl entire websites (follow links across hundreds of pages)
You need structured extraction with custom schemas (Firecrawl's LLM extraction is powerful)
You already have a search API and only need scraping
You need to map a site's structure before extracting

When to Choose Keiro

You need search AND crawling in one API
You want research synthesis, answer generation, or batch processing
Budget is a concern — Keiro is significantly cheaper
You want to simplify your stack by using one API instead of two

Using Both Together

For some advanced use cases, combining Keiro and Firecrawl can be powerful. Use Keiro's /search to discover relevant pages, then use Firecrawl's /crawl to deeply scrape an entire site you have identified. This gives you the best of both worlds: Keiro's discovery capabilities and Firecrawl's deep crawling.

Conclusion

Keiro and Firecrawl are complementary rather than strictly competitive. Firecrawl is the specialist for deep web scraping and structured extraction. Keiro is the generalist that covers search, research, answers, and basic crawling in one affordable package. For most AI developers who need to find and extract information from the web, Keiro alone will cover 90% of use cases at a fraction of the cost.

Try Keiro's /web-crawler endpoint today. Sign up at kierolabs.space and get 10,000 requests for $5.99/month.

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