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Reworkd is your scraping co-pilot. It understands website structures and auto-generates Playwright code to take actions, visit subpages, scrape, and save data based on your custom schema. With Reworkd you can simplify web data extraction at scale.

Y Combinator

1,637,797 subscribers

63,943 次观看 • 1 年前 •via X (Twitter)

教育财经科学技术

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11 条评论

anirudh 的头像

anirudh1 年前

@ReworkdAI stagehand can help when your playwright code breaks!

HUDI 的头像

HUDI2 年前

🚀🌍Transform your online footprint with #IPDW - a groundbreaking protocol that decentralizes your data storage & exchange. Inspired by BitTorrent, we're creating a new era of data sovereignty with #HUDI. 🛡️ Secure, encrypted, and fully in your control, our P2P technology integrates seamlessly into your browser, making every user a vital node in our expansive Web 4.0 network. Ready to reclaim your digital power? Dive into the revolution at and discover the backbone tech at #DecentralizeYourData #Web4

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Artypone1 年前

@ReworkdAI What a disappointment for the investments after MCP. You can do it by developing your own scraptool in 10 mins and keep your scrapped data in privately. There like 10 opensource projects. Would you like me to share github links?

Israr Ahmed 的头像

Israr Ahmed1 年前

@ReworkdAI Scaling web data extraction is revolutionary. At @qryptum, we’re building decentralized AI and data solutions. What are your thoughts on how Reworkd could integrate with decentralized data sources?

vito 的头像

vito1 年前

@ReworkdAI cool! just what i was looking for.

Steph from OpenVC 的头像

Steph from OpenVC1 年前

@ReworkdAI This is awesome!

Raiders 的头像

Raiders1 年前

@ReworkdAI Can we scrape twitter posts too? I doubt

Ashish 的头像

Ashish1 年前

This is useless, even for simple single page websites. I tried scrapping 2 very simple web pages, and it failed miserably. Now think of all varying complexities with different sites(captchas, geolocation, sessions), it does not stand a chance. If it is only good for basic sites, it is too costly. I can get that done on chatgpt subscription.

Tyler Clark 的头像

Tyler Clark1 年前

@ReworkdAI @firecrawl_dev 4 life! 🔥

Vinnie 🌳 的头像

Vinnie 🌳1 年前

@ReworkdAI 🌿 ReworkdAI could be a game-changer for eco-data projects! Let's see it simplify nature-data extraction! 🚀 #EcoData

Lantos (e/acc) 的头像

Lantos (e/acc)1 年前

@ReworkdAI @talos256

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Thunderbit is probably the most powerful web scraper right now. It can scrape any website in just 2 clicks, no code, no setup. It’s smart enough to understand complex page layouts and nested structures. Normally, scraping this kind of data manually takes hours of tedious copy-paste work. With Thunderbit, you click twice, and it auto-builds the table for you, scraping in seconds. More details and examples below 👇 #Thunderbit #WebScraping #AITools #BlackFridayDeals

Thunderbit is probably the most powerful web scraper right now. It can scrape any website in just 2 clicks, no code, no setup. It’s smart enough to understand complex page layouts and nested structures. Normally, scraping this kind of data manually takes hours of tedious copy-paste work. With Thunderbit, you click twice, and it auto-builds the table for you, scraping in seconds. More details and examples below 👇 #Thunderbit #WebScraping #AITools #BlackFridayDeals

AshutoshShrivastava

17,857 次观看 • 10 个月前

Excited to more broadly share what we've been working on at Reworkd ⚡️ This past year we've fully invested in building the next generation of web agents. They're already live in production today across a handful of companies serving as the simplest way to extract web data at scale. Come to us with a list of 100s-1000s of websites + a data schema, and we'll handle the rest 🤖

Excited to more broadly share what we've been working on at Reworkd ⚡️ This past year we've fully invested in building the next generation of web agents. They're already live in production today across a handful of companies serving as the simplest way to extract web data at scale. Come to us with a list of 100s-1000s of websites + a data schema, and we'll handle the rest 🤖

asim

94,665 次观看 • 2 年前

You can now scrape any website with AI in two clicks. Thunderbit is a zero-setup web scraper that extracts data from any site instantly, it even allows you subpage scraping. Here’s how to try free:

You can now scrape any website with AI in two clicks. Thunderbit is a zero-setup web scraper that extracts data from any site instantly, it even allows you subpage scraping. Here’s how to try free:

Alvaro Cintas

27,254 次观看 • 10 个月前

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 • 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

540,932 次观看 • 1 年前

Web scraping is a critical skill, and yet nobody talks about it. How do you think companies are training their Large Language Models? Where do you think the data comes from? But web scraping goes beyond all of that. Imagine giving an AI agent access to any public online data in real time! I like to call this "web-scrapping on demand", and I'm pretty sure it's going to unlock unlimited power for AI applications. I recorded a quick video to show you how you can do this using Apify. I've talked about them before, and they are collaborating with me on this post. They have one of the best open-source web scraping and browser automation libraries out there: But it gets much better than this! You can use MCP to connect your AI Agents and applications to the Apify platform and use any specialized actor on demand to scrape and process online data. In the video, I used Cursor to scrape LinkedIn posts with the words "Machine Learning" in real time. Worked like a charm with no code needed! Here is a link to the platform: Think about this: You can now feed your AI applications with any public data on demand! We aren't ready for what's coming.

Web scraping is a critical skill, and yet nobody talks about it. How do you think companies are training their Large Language Models? Where do you think the data comes from? But web scraping goes beyond all of that. Imagine giving an AI agent access to any public online data in real time! I like to call this "web-scrapping on demand", and I'm pretty sure it's going to unlock unlimited power for AI applications. I recorded a quick video to show you how you can do this using Apify. I've talked about them before, and they are collaborating with me on this post. They have one of the best open-source web scraping and browser automation libraries out there: But it gets much better than this! You can use MCP to connect your AI Agents and applications to the Apify platform and use any specialized actor on demand to scrape and process online data. In the video, I used Cursor to scrape LinkedIn posts with the words "Machine Learning" in real time. Worked like a charm with no code needed! Here is a link to the platform: Think about this: You can now feed your AI applications with any public data on demand! We aren't ready for what's coming.

Santiago

101,473 次观看 • 1 年前

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

91,889 次观看 • 7 个月前

🚨 THIS IS ACTUALLY INSANE Your AI agent can have access to the web. But if it can't reliably read what’s actually on the page, that access is almost useless. We looked at Firecrawl as the web layer for AI agents and the numbers are hard to ignore. The setup is simple: Give it a URL, search query, or website. Firecrawl handles the ugly part — crawling, scraping, rendering, extracting, and turning web content into something an AI model can actually use. The headline numbers: → 173,000+ GitHub stars → Search, scrape and interact with the web at scale → Supports web pages, PDFs, DOCX and other content → Structured data extraction for AI workflows → MCP support for connecting it directly to AI agents The workflow looks like this: Search → Scrape → Crawl → Extract → Feed the agent Three things stand out: 1. Scraping becomes an infrastructure layer Instead of maintaining your own pile of HTTP clients, parsers, browser automation and retry logic, you can treat web access as an API. 2. Agents get more than raw HTML The goal isn't just downloading a webpage. It's turning messy web content into clean context that an LLM can reason over. 3. The same layer works across different agent workflows Research agents. RAG pipelines. AI search. Competitive intelligence. Web-data extraction. The interesting shift: AI agents don't just need better models. They need better access to the information those models are supposed to reason about. Firecrawl is building that layer. Save this repo.

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18,053 次观看 • 12 天前

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Y Combinator

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