Amplitude vs Firecrawl
Digital analytics + experimentation + CDP
vs. AI-native web scraping + crawling API — LLM-ready data extraction
Pricing tiers
Amplitude
Starter (Free)
10K Monthly Tracked Users, 10M events/mo. Session Replay + unlimited feature flags + Web Experimentation + AI Feedback included.
Free
Plus
$49/mo (annual). Up to 300K MTUs + 25M events. Unlimited product analytics, behavioral cohorts, feature tagging, custom audiences.
$49/mo
Growth
Custom. Causal insights, Feature Experimentation, real-time streaming, predictive audiences.
Custom
Enterprise
Custom. Cross-product analysis, advanced data controls, mutual exclusion groups, multi-armed bandit.
Custom
Firecrawl
Free
500 credits one-time. 2 concurrent requests. For exploration.
Free
Self-Hosted (OSS)
AGPL-3.0 licensed. Run on your own infra.
$0 base (usage-based)
Hobby
$19/month ($16 annual). 3,000 credits/month. 5 concurrent.
$19/mo
Standard
$99/month ($83 annual). 100,000 credits. 50 concurrent. Most popular.
$99/mo
Growth
$399/month ($333 annual). 500,000 credits. 100 concurrent.
$399/mo
Enterprise
Custom. Dedicated support + SLA, bulk discounts, zero-data retention, SSO, advanced security.
Custom
Free-tier quotas head-to-head
Comparing starter on Amplitude vs free on Firecrawl.
| Metric | Amplitude | Firecrawl |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Amplitude · 13 features
- AI Feedback (Asking) — Natural language questions over your Amplitude data.
- Amplitude CDP — Customer Data Platform — identify, segment, sync to 150+ destinations.
- Causal Insights — AI identifies why a metric changed — root cause.
- Cross-Product Analysis — Analyze across multiple apps/products in the same org.
- Data Governance — Taxonomies, schemas, approvals, category management.
- Data Warehouse Sync — Sync data to/from Snowflake, BigQuery, Redshift, Databricks.
- Feature Experimentation — Server-side / SDK-level experiments. Growth+.
- Feature Flags — Targeting rules + rollouts. Unlimited in Starter.
- North Star Metric — Pre-built dashboards for key metric tracking.
- Predictive Audiences — ML-based forecasting of user behavior.
- Product Analytics — Core events + funnels + retention + segmentation.
- Session Replay — Pixel-perfect user session recording + privacy masking.
- Web Experimentation — A/B test visual changes on your site without deploy.
Firecrawl · 16 features
- Batch Scrape — Scrape many URLs in parallel.
- Crawl — Crawl an entire site following links. Returns all pages.
- Custom Headers/Cookies — Scrape behind login via headers.
- Deep Research (beta) — AI agent that autonomously researches a query across many sites.
- Extract (AI) — Structured extraction with a JSON schema → Firecrawl runs LLM for you.
- JavaScript Rendering — Headless browser handles SPAs, React/Vue sites.
- LLM-Ready Markdown — Cleaned + normalized Markdown optimized for LLM ingestion.
- Map — Fast — returns all URLs on a site without fetching content.
- MCP Server — Official MCP for Claude / Cursor / Agents.
- Open Source (AGPL) — Self-host the entire stack via Docker.
- PDF Parsing — Extract text from PDFs.
- Residential Proxies — Bypass anti-bot + geoblocks (paid).
- Scrape — Single URL → clean markdown/JSON/HTML.
- Screenshots — Visual screenshot alongside content.
- Search (beta) — Google-like search API returning results + content.
- Structured Output — Extract to JSON schema via LLM.
Developer interfaces
| Kind | Amplitude | Firecrawl |
|---|---|---|
| CLI | — | Firecrawl CLI |
| SDK | amplitude-analytics-python, @amplitude/analytics-react-native, amplitude-android, amplitude-js / browser-sdk, amplitude-node, AmplitudeSwift (iOS) | firecrawl-go, firecrawl-js, firecrawl-py |
| REST | Amplitude HTTP API v2, Batch Event API, Export API | Firecrawl REST API |
| MCP | — | Firecrawl MCP Server |
| OTHER | Data Destinations (webhooks) | — |
Staxly is an independent catalog of developer platforms. Outbound links to Amplitude and Firecrawl are plain references to their official websites. Pricing is verified against vendor pages at publication time — reconfirm before buying.
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