Firecrawl turns websites into LLM-ready markdown and structured data, but it requires you to manage crawl jobs, handle rate limits, and parse outputs that vary by site structure. For teams that need search data rather than arbitrary page content, Scavio provides the same structured output without running a crawler.
The Problem with Firecrawl
Crawl jobs can stall or fail on JavaScript-heavy sites, requiring retries and monitoring infrastructure.
Output format varies by site. A product page and a blog post return very different structures, requiring per-site normalization.
Pricing scales with pages crawled, not value extracted. Crawling a 1,000-page site to find 10 relevant pages costs the same as crawling 10.
No built-in search layer. You must first find URLs to crawl using a separate search API or sitemap parser.
Rate limits on the free tier (500 credits/month) constrain testing to very small experiments.
How Scavio Solves This
Scavio skips the crawling step entirely. Instead of crawling pages and extracting content, you query the Scavio Search API and get structured results, including titles, descriptions, URLs, and rich snippets, already parsed and normalized. For content extraction from search results, one API call replaces the search-then-crawl-then-parse pipeline.
Code Example
curl -X POST https://api.scavio.dev/api/v1/google \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"query": "machine learning best practices 2026",
"country": "us",
"num_results": 20
}'Cost Comparison
| Criteria | Firecrawl | Scavio |
|---|---|---|
| 1,000 content extractions | $16-45 | $4.29 |
| Free tier | 500 credits/mo | 250 credits/mo |
| Search included | No (separate API) | Yes |
| Structured output | Varies by page | Consistent JSON |
| JavaScript rendering | Extra latency | Not needed |