正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

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

68,009 subscribers

67,024 次观看 • 4 天前 •via X (Twitter)

新闻政治科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

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!

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

91,321 次观看 • 4 个月前

Screenshots just landed in /agent 🖼️ No need for custom selectors or complex logic. Just ask the Firecrawl /agent to "get a screenshot" along with your data. Try it out now 👇

Screenshots just landed in /agent 🖼️ No need for custom selectors or complex logic. Just ask the Firecrawl /agent to "get a screenshot" along with your data. Try it out now 👇

Firecrawl

19,005 次观看 • 5 个月前

Oh wow…Firecrawl just dropped /agent, an API that autonomously navigates and discovers data from any website. You tell it what data you need, it figures out how to find it across complex sites. This is the future of web data.

Oh wow…Firecrawl just dropped /agent, an API that autonomously navigates and discovers data from any website. You tell it what data you need, it figures out how to find it across complex sites. This is the future of web data.

Alvaro Cintas

158,543 次观看 • 5 个月前

Introducing Firecrawl After Dark 🌑 An exclusive, invite-only event for 10x engineers building with web data. This Wednesday. 7pm-1am. Food + unlimited coffee and Celsius on us.

Introducing Firecrawl After Dark 🌑 An exclusive, invite-only event for 10x engineers building with web data. This Wednesday. 7pm-1am. Food + unlimited coffee and Celsius on us.

Firecrawl

27,345 次观看 • 3 个月前

Introducing /agent by Firecrawl 🪄 Just describe what you need - with or without a URL then /agent searches, navigates, and gathers information from the widest range of websites, reaching data no other API can. Try out the research preview today.

Introducing /agent by Firecrawl 🪄 Just describe what you need - with or without a URL then /agent searches, navigates, and gathers information from the widest range of websites, reaching data no other API can. Try out the research preview today.

Firecrawl

611,034 次观看 • 5 个月前

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

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 次观看 • 4 个月前

Genspark AI agent just released AI Sheets. You can now upload any data and the agent automatically analyzes it, generates reports, and can research the web to find the data for you. 5 powerful use cases + how to try👇:

Genspark AI agent just released AI Sheets. You can now upload any data and the agent automatically analyzes it, generates reports, and can research the web to find the data for you. 5 powerful use cases + how to try👇:

Alvaro Cintas

110,569 次观看 • 1 年前

The era of writing web scrapers is over. Write a prompt, get web data. That's it with our /extract endpoint. Now in open beta with 500K free tokens 🔥

The era of writing web scrapers is over. Write a prompt, get web data. That's it with our /extract endpoint. Now in open beta with 500K free tokens 🔥

Firecrawl

6,168,107 次观看 • 1 年前

You can now clone any website just by writing a prompt. Simply add the Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

You can now clone any website just by writing a prompt. Simply add the Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

Alvaro Cintas

83,031 次观看 • 10 个月前

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 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

15,309 次观看 • 2 个月前

Introducing Claude 3.7 Web Crawler 🕸️ It finds pages, re-ranks them, then navigates entire websites with Anthropic's new model, returning data according to the entered objective. Powered by 3.7 Sonnet for powerful near-instant responses and Firecrawl

Introducing Claude 3.7 Web Crawler 🕸️ It finds pages, re-ranks them, then navigates entire websites with Anthropic's new model, returning data according to the entered objective. Powered by 3.7 Sonnet for powerful near-instant responses and Firecrawl

Caleb Peffer (Hiring!)

66,459 次观看 • 1 年前

You can now clone any website just by writing a prompt. Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

You can now clone any website just by writing a prompt. Simply add the new Firecrawl MCP server to your favorite AI coding tool for improved web data extraction, and let Claude code it for you. Here’s how:

Alvaro Cintas

539,551 次观看 • 1 年前

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

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

354,763 次观看 • 3 个月前

🔥 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:

🔥 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:

elvis

42,656 次观看 • 1 年前

New in Claude Code: /ultraplan Claude builds an implementation plan for you on the web. You can read it and edit it, then run the plan on the web or back in your terminal. Available now in preview for all users with CC on the web enabled.

New in Claude Code: /ultraplan Claude builds an implementation plan for you on the web. You can read it and edit it, then run the plan on the web or back in your terminal. Available now in preview for all users with CC on the web enabled.

Thariq

1,297,194 次观看 • 2 个月前

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.

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

122,999 次观看 • 2 个月前

Introducing Swarm Web Extractor 🤖 Based on an objective, it autonomously searches the web, maps entire websites, and extracts data. Built with OpenAI’s new multi-agent framework Swarm, SerpApi, and . Check it out:

Introducing Swarm Web Extractor 🤖 Based on an objective, it autonomously searches the web, maps entire websites, and extracts data. Built with OpenAI’s new multi-agent framework Swarm, SerpApi, and . Check it out:

Eric Ciarla (hiring)

91,788 次观看 • 1 年前

Webhound (Webhound) is an AI agent that builds datasets from the web. Instead of spending weeks gathering data, just describe what you need, and Webhound automatically finds, extracts, and organizes it into structured datasets you can export.

Webhound (Webhound) is an AI agent that builds datasets from the web. Instead of spending weeks gathering data, just describe what you need, and Webhound automatically finds, extracts, and organizes it into structured datasets you can export.

Y Combinator

23,264 次观看 • 10 个月前

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

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

134,152 次观看 • 2 个月前