Загрузка видео...

Не удалось загрузить видео

На главную

🔥 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:

omarsar0's profile picture

elvis

249,191 subscribers

42,656 просмотров • 1 год назад •via X (Twitter)

Наука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 10

Фото профиля elvis
elvis1 год назад

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.

Фото профиля elvis
elvis1 год назад

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.

Фото профиля elvis
elvis1 год назад

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.

Фото профиля elvis
elvis1 год назад

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

Фото профиля elvis
elvis1 год назад

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.

Фото профиля elvis
elvis1 год назад

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

Фото профиля Alexander Mia
Alexander Mia1 год назад

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 ↓

Фото профиля Mendable
Mendable1 год назад

@firecrawl_dev Amazing!

Фото профиля Firecrawl
Firecrawl1 год назад

🔥🚀

Фото профиля Eric Ciarla (hiring)
Eric Ciarla (hiring)1 год назад

@firecrawl_dev This is insane!!

Похожие видео

Introducing the new Firecrawl CLI 🔥 The toolkit for agents to scrape, search, and browse the web. - Scrape clean data from any page - Search the web and get full results back - Spin up cloud browsers for interactive flows npx -y firecrawl-cli@latest init --all --browser
0:43

Introducing the new Firecrawl CLI 🔥 The toolkit for agents to scrape, search, and browse the web. - Scrape clean data from any page - Search the web and get full results back - Spin up cloud browsers for interactive flows npx -y firecrawl-cli@latest init --all --browser

Firecrawl

354,970 просмотров • 3 месяцев назад

Introducing /search - the simplest way for agents and devs to discover the web 👀 Our #1 most requested endpoint is finally here. Search the web AND scrape all results in an LLM-ready format with one API call. Now live on our API, MCP, and all integrations 🔥
1:34

Introducing /search - the simplest way for agents and devs to discover the web 👀 Our #1 most requested endpoint is finally here. Search the web AND scrape all results in an LLM-ready format with one API call. Now live on our API, MCP, and all integrations 🔥

Firecrawl

390,772 просмотров • 1 год назад

FireCrawl just launched Fire Enrich. You can now upload a CSV with emails, and the AI agents will search the web to automatically fill in any missing data you need. Here’s how:
0:20

FireCrawl just launched Fire Enrich. You can now upload a CSV with emails, and the AI agents will search the web to automatically fill in any missing data you need. Here’s how:

Alvaro Cintas

34,568 просмотров • 1 год назад

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.
0:25

Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.

Firecrawl

123,163 просмотров • 2 месяцев назад

You can now perform web searches AND scrape their full content in AI code editors. Simply add the new Firecrawl Search MCP, and it will search the web and get all the page contents for each result in one operation. Here’s how:
0:21

You can now perform web searches AND scrape their full content in AI code editors. Simply add the new Firecrawl Search MCP, and it will search the web and get all the page contents for each result in one operation. Here’s how:

Alvaro Cintas

43,424 просмотров • 1 год назад

The web wasn't built for AI agents. So we built Firecrawl. - /search finds fresh, relevant sources from the web - /scrape turns any URL into clean context for AI - /interact automates clicks, pagination, and logins Join 1,000,000+ developers connecting intelligence to the web.
1:06

The web wasn't built for AI agents. So we built Firecrawl. - /search finds fresh, relevant sources from the web - /scrape turns any URL into clean context for AI - /interact automates clicks, pagination, and logins Join 1,000,000+ developers connecting intelligence to the web.

Firecrawl

4,710,195 просмотров • 1 месяц назад

Introducing the Firecrawl Skill + CLI for Agents 🔥 Agents like Claude Code, Codex, and OpenCode need live quality context from the web. The CLI pulls web content to local files with bash-powered search for the highest token efficiency. $ npx skills add firecrawl/cli
0:24

Introducing the Firecrawl Skill + CLI for Agents 🔥 Agents like Claude Code, Codex, and OpenCode need live quality context from the web. The CLI pulls web content to local files with bash-powered search for the highest token efficiency. $ npx skills add firecrawl/cli

Firecrawl

86,971 просмотров • 4 месяцев назад

Agents can now search and scrape the web with a single API call. Firecrawl's /search endpoint returns complete LLM-ready content for every search result. HTML, Markdown, or JSON. Works via API, MCP for Cursor, Zapier and n8n.
0:45

Agents can now search and scrape the web with a single API call. Firecrawl's /search endpoint returns complete LLM-ready content for every search result. HTML, Markdown, or JSON. Works via API, MCP for Cursor, Zapier and n8n.

Lior Alexander

14,812 просмотров • 1 год назад

Firecrawl now integrates directly into n8n.io Cloud - Search the web & get clean, structured results - Scrape pages into markdown, JSON & structured data - Interact with pages using AI prompts or code Get 100K free credits for your AI workflows when you quick connect on n8n!
0:30

Firecrawl now integrates directly into n8n.io Cloud - Search the web & get clean, structured results - Scrape pages into markdown, JSON & structured data - Interact with pages using AI prompts or code Get 100K free credits for your AI workflows when you quick connect on n8n!

Firecrawl

15,314 просмотров • 3 месяцев назад

Firecrawl is now a search provider in OpenRouter 🔥 Ground any OpenRouter model in full web pages instead of search snippets. Firecrawl searches and scrapes the live web into clean markdown your model can reason over. New sign-ups get a free Hobby plan with 100,000 credits!
0:20

Firecrawl is now a search provider in OpenRouter 🔥 Ground any OpenRouter model in full web pages instead of search snippets. Firecrawl searches and scrapes the live web into clean markdown your model can reason over. New sign-ups get a free Hobby plan with 100,000 credits!

Firecrawl

30,108 просмотров • 2 месяцев назад

OpenAI's Swarm Web Extractor This can autonomously search the web, map entire websites, and extract data. This is built on top of OpenAI’s new multi-agent framework Swarm, Serp AI and Firecrawl API. - Swarm is a lightweight and experimental framework introduced by OpenAI to develop multi-agent systems. - Serp API A is a real-time API that allows users to access Google search results. - Firecrawl API turns entire websites into clean, LLM-ready markdown or structured data. Scrape, crawl and extract the web with a single API. Video credits: Eric Ciarla #webextraction #llms #nlproc #swarm #multiagents
0:51

OpenAI's Swarm Web Extractor This can autonomously search the web, map entire websites, and extract data. This is built on top of OpenAI’s new multi-agent framework Swarm, Serp AI and Firecrawl API. - Swarm is a lightweight and experimental framework introduced by OpenAI to develop multi-agent systems. - Serp API A is a real-time API that allows users to access Google search results. - Firecrawl API turns entire websites into clean, LLM-ready markdown or structured data. Scrape, crawl and extract the web with a single API. Video credits: Eric Ciarla #webextraction #llms #nlproc #swarm #multiagents

Kalyan KS

174,419 просмотров • 1 год назад

Introducing the /interact endpoint - Just /scrape a page - Call /interact to do any action with natural language - Watch agents click, fill, scroll to get deep web data Available today.
0:31

Introducing the /interact endpoint - Just /scrape a page - Call /interact to do any action with natural language - Watch agents click, fill, scroll to get deep web data Available today.

Firecrawl

31,301 просмотров • 3 месяцев назад

Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.
1:20

Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.

Parallel Web Systems

669,541 просмотров • 7 месяцев назад

The Firecrawl plugin is now available through Anthropic's official marketplace 🔌 1. Run /plugin 2. Install Firecrawl 3. Ask Claude to fetch the web data you need Scrape and extract data from any website, directly inside Claude Code!
0:29

The Firecrawl plugin is now available through Anthropic's official marketplace 🔌 1. Run /plugin 2. Install Firecrawl 3. Ask Claude to fetch the web data you need Scrape and extract data from any website, directly inside Claude Code!

Firecrawl

91,540 просмотров • 4 месяцев назад

We shipped big changes for Cloudflare Developers AI Search! Every agent needs search and it shouldn't take a week to set up. AI Search is the search primitive for your agents. Create an instance, upload your data, and search it. Comes with hybrid retrieval with vector and BM25.
0:24

We shipped big changes for Cloudflare Developers AI Search! Every agent needs search and it shouldn't take a week to set up. AI Search is the search primitive for your agents. Create an instance, upload your data, and search it. Comes with hybrid retrieval with vector and BM25.

Anni Wang

12,935 просмотров • 2 месяцев назад

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
27:27

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 просмотров • 3 месяцев назад

Introducing Prometheus, an experimental Forward Deployed Agent for web data. Describe the web data you need and it writes Firecrawl code to collect it. Run it yourself or let us host and automatically maintain it as pages change. Try it with Claude Fable 5 for free this week!
0:22

Introducing Prometheus, an experimental Forward Deployed Agent for web data. Describe the web data you need and it writes Firecrawl code to collect it. Run it yourself or let us host and automatically maintain it as pages change. Try it with Claude Fable 5 for free this week!

Firecrawl

74,945 просмотров • 13 дней назад

Agents 🤝 Web Search ASI:One now lets you toggle both Agents and Web Search together. Get answers with memory, logic, and real-time data in one go. → Watch how it works 👇
0:58

Agents 🤝 Web Search ASI:One now lets you toggle both Agents and Web Search together. Get answers with memory, logic, and real-time data in one go. → Watch how it works 👇

Fetch.ai

15,665 просмотров • 1 год назад