Loading video...

Video Failed to Load

Go Home

🔥 Introducing Firecrawl /search. Firecrawl just launched an insane feature to search and crawl in one shot. You heard that right! One API call to search the web and scrape any data you need for your AI agents. I took it for a spin in n8n:

42,656 views • 1 year ago •via X (Twitter)

10 Comments

elvis's profile picture
elvis1 year ago

What is it useful for? With /search you can search the web and get LLM-ready page content for each result. One API call is all it takes to discover pages AND scrape their full content.

elvis's profile picture
elvis1 year ago

Search with Firecrawl This is by far the simplest and easiest way to search for relevant and high-quality web context for AI agents. You can now easily build agentic systems for deep research, finding leads, complex SEO analysis, generating reports, creating mindmaps, and more.

elvis's profile picture
elvis1 year ago

Search with Content Scraping You can search and retrieve content from the search results in one operation. This feature is live via Firecrawl API, MCP server for Cursor, and all other integrations like n8n.

elvis's profile picture
elvis1 year ago

Scraping Options There are many options for scraping. You can specify multiple output formats like markdown, HTML, links, and screenshots.

elvis's profile picture
elvis1 year ago

Timely Content for your AI Agents You can also set the tbs parameter to specify a time range for your search results. You can request content from the past hour, past 24 hrs, or past week/month/year, etc.

elvis's profile picture
elvis1 year ago

Check out the docs for more info on how to get started: Here is my n8n template:

Alexander Mia's profile picture
Alexander Mia1 year ago

INTRODUCING: Agentic Security - LLM Security Scanner! 🔍 🔑 Features: Scans for prompt injections, jailbreaking & more. Provides detailed reports & options to customize attack rules. 🔗access the GitHub Link ↓

Mendable's profile picture
Mendable1 year ago

@firecrawl_dev Amazing!

Firecrawl's profile picture
Firecrawl1 year ago

🔥🚀

Eric Ciarla (hiring)'s profile picture
Eric Ciarla (hiring)1 year ago

@firecrawl_dev This is insane!!

Related Videos

how to use firecrawl to give your AI eyes and actually build startups that outperform 99% of apps: 1. your AI is smart but blind. it can't go to a website, read a page, or grab data on its own. firecrawl fixes that. you put in a URL. you get back clean markdown, structured JSON, screenshots. feed it to any model. 2. three lines of code. that's it. no proxies. no anti-bot detection. no custom scrapers that break when a site changes. one API call. clean data back in seconds. works on 98%+ of sites. 3. firecrawl has six core capabilities: scrape a single page. crawl an entire site. map all URLs on a domain. search google and return full content. an agent endpoint where you describe what you want and it goes and finds it. and a browser sandbox where AI controls a real browser like filling forms, clicking buttons, handles logins. 4. the agent endpoint is wild. you can say "find all of YC's winter 24 dev tool companies and their founders and emails" and get back structured data. or "compare pricing tiers across stripe, square, and paypal" and get a side-by-side table. 5. the browser sandbox lets your AI stay logged in across sessions, navigate pagination, watch live as it browses. this is computer use without building the infrastructure yourself. 6. think of it in layers. every builder needs: an agent harness (claude code, cursor, codex), a search layer (perplexity, exa), a web data layer (firecrawl), an ops brain (obsidian, notion), and an outbound stack. the web data layer is the one most people are sleeping on. 7. this is the AWS moment for web data. in 2006 building a web app meant buying servers and managing racks. AWS said one API call, use our servers. some of the biggest companies of the last decade were built on that. firecrawl is doing the same thing for web data in 2026. 8. the framework i'd use for coming up with startup ideas building with clean data: take a massive horizontal platform. rebuild it for one niche using firecrawl. the vertical version always wins because people want specific, not generic. price for outcome. 9. a year ago firecrawl posted a job listing that said "please only apply if you're an AI agent." content creator agents. customer support agents. junior dev agents. it looked weird. it was a signal for where this is all going. the people who understand how to get clean web data, wrap it around an LLM, and package it as a product are the the ones with a 12-month head start. i use Firecrawl with Idea Browser . once you see what's possible with structured web data, you can't unsee it. episode is live on The Startup Ideas Podcast (SIP) 🧃 (full breakdown there) i tried to explain this as clear as possible for even the non technical. send it to a builder friend. watch

GREG ISENBERG

134,438 views • 3 months ago