Context.dev gives you brand data.
Firecrawl gives you the web.

The core difference is focus. Context.dev is a web intelligence platform built around brand data - logos, colors, fonts, and company metadata - with web scraping as a supporting capability. Firecrawl is built exclusively for web scraping and data extraction at scale: its /search endpoint finds pages and returns scraped content in one call, its /interact endpoint clicks and fills forms before scraping, its /crawl endpoint indexes entire sites for RAG pipelines, and its /scrape branding format extracts colors, fonts, typography, and visual identity from any URL. Context.dev has no web search endpoint - it requires a known URL to scrape. If your primary need is company firmographics and metadata enrichment, Context.dev serves that well. If you need search-and-scrape in one call, browser interaction, brand data extraction, open-source flexibility, or an AI-pipeline-first design, Firecrawl is the better fit.

Yes. Firecrawl was built from day one for AI - it returns clean markdown and structured JSON out of the box with no post-processing needed. Context.dev also supports markdown output for web scraping, but their platform spans brand intelligence, logo enrichment, firmographics, and transaction data alongside web scraping. Firecrawl's entire API is designed around LLM-ready output for developers building AI agents and pipelines.

Both tools use credit-based pricing. Firecrawl has a generous free plan with 1,000 credits, and paid plans start with Hobby at 5,000 credits (1 credit per standard scrape) for $19/month billed monthly, or $16/month billed annually. Context.dev's free tier gives 500 credits (one-time), with paid plans starting at $49/month for 30,000 credits - though brand data calls cost 10 credits each, which adds up quickly if you use their enrichment features. For teams focused on web scraping rather than brand intelligence, Firecrawl's lower entry price and scraping-first credit model makes costs easier to predict.

Yes. Firecrawl is fully open source under the AGPL-3.0 license and can be self-hosted for complete control over your data, compliance, and infrastructure. Context.dev is a proprietary platform with no self-hosting option. For teams with data residency requirements, regulated environments, or a preference for open-source tooling, Firecrawl's self-hosted deployment is a meaningful advantage.

Most developers are productive in minutes. Firecrawl's API is developer-friendly with comprehensive docs, SDKs for Python, Node.js, Go, Rust, and Java, and a playground for testing. Context.dev also offers self-serve signup with immediate API key access and is praised by customers for quick integration - but Firecrawl covers more scraping scenarios out of the box, including browser interaction and deep crawl, without needing additional products.

Yes. Firecrawl's interact endpoint lets you click buttons, fill forms, navigate multi-step flows, and handle dynamic content before scraping - all through the same API key and credit system. Context.dev's web scraping returns content from URLs directly but does not offer a browser interaction or automation endpoint. If your use case requires interacting with pages before extracting data, Firecrawl handles it without requiring a separate tool.

Firecrawl's /search endpoint takes a query, finds the most relevant pages on the live web, and returns their scraped content as clean markdown - all in one API call. You get search results and page content together without a separate scraping step. Context.dev has no web search endpoint; it requires a known URL to scrape. For AI agents doing live research - finding, reading, and reasoning over current web content - Firecrawl Search covers the full workflow while Context.dev covers only the scraping half.

Firecrawl is purpose-built for AI pipelines. It returns clean markdown ready for chunking and embedding, with structured data extraction via JSON Schema, brand identity extraction via /scrape branding format, crawl-to-index workflows, and an interact endpoint for dynamic pages. Context.dev supports web scraping and AI extraction, but the platform is designed primarily around brand intelligence and enrichment rather than RAG or agent-building workflows.

Yes. Firecrawl's /monitor endpoint runs recurring scrapes or crawls on a schedule and compares each result against the last retained snapshot. It classifies every page result as same, new, changed, removed, or error, and delivers alerts via webhook or email when changes occur. You can monitor individual URLs, entire site sections via crawl, or define an AI-powered goal in plain language to filter only the changes that matter - such as tracking a competitor's pricing page or watching a docs site for API behavior changes. Context.dev has no monitoring or change detection endpoint.

If you are using Context.dev for web scraping (scrape markdown, crawl, structured extraction), migrating to Firecrawl is straightforward. Replace calls to Context.dev's web scraping endpoints with Firecrawl's /scrape and /crawl endpoints - the credit model is similar and Firecrawl adds browser interaction and deeper crawl support. For brand identity data (colors, fonts, typography, logos), Firecrawl's /scrape branding format covers similar ground from any URL. Context.dev's firmographics and company metadata remain unique to their platform.