Firecrawl vs Scrapfly
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Side-by-side comparison of Firecrawl and Scrapfly using the latest benchmark data for success rate, speed, cost, and features.
Pros & Cons of Firecrawl
Pros
- Scrape websites data in LLM-ready format.
- Ability to crawl entire websites using one API call.
- Control the headless browser actions after a certain process.
- Python and NodeJS SDKs.
- Low pricing entry point at $19.
- Integrations for no-code tools: n8n, Zapier, Make, and Dfyn.
Cons
- Plan to credits are considered expensive compared to other services.
- Blocked requests are charged.
- Credits do not roll over to the next month/year.
- No pay-per-use plan offered.
- No support for webhook callbacks.
Pros & Cons of Scrapfly
Pros
- Exceptional and fair scraper blocking bypass.
- Below average pricing for most targets.
- Javascript rendering with custom javascript evaluation.
- Full browser control through Javascript Scenarios.
- Python, Scrapy and Typescript SDKs for easy integration.
- Detailed web dashboard for reviewing scraping performance.
- Multi-project support with dedicated environments and quotas.
- Feature rich with many unique features
- Low entry point at $30.
- Web UI player for testing and experimenting.
Cons
- Credits do not carry over month-to-month.
- No annual plans are available.
- Above average pricing for some targets in favor of higher success rate and reliability.
Benchmark Comparison
Success rate per target from the latest benchmark run. Higher is better; the winning value is highlighted in green.
Data range Sep 11 - Sep 25
Feature Comparison
Pricing Comparison
Firecrawl
| Plan | Price | Credits | Concurrency |
|---|---|---|---|
| Enterprise | — | ∞ | ∞ |
| Growth | 333 | 500,000 | 100 |
| Hobby | 16 | 3,000 | 5 |
| Standard | 83 | 100,000 | 50 |
Scrapfly
| Plan | Price | Credits | Concurrency |
|---|---|---|---|
| Discovery | 30 | 200,000 | 5 |
| Pro | 100 | 1,000,000 | 20 |
| Startup | 250 | 2,500,000 | 50 |
| Enterprise | 500 | 5,500,000 | 100 |
| Custom | — | — | ∞ |
Determining the best web scraping API requires paying attention to various aspects. See our guide on what to look for in a web scraping API for the full details.