Reworkd provides automation tools for web data extraction, allowing users to collect, monitor, and maintain web data efficiently.

Reworkd (YC S23)

Reworkd

Reworkd (YC S23) | 5,039 followers on LinkedIn. Reworkd simplifies web data extraction. Get the web data you need at scale without writing or maintaining scrapers. | At Reworkd, we help businesses optimize web data extraction through AI. 

Our platform generates and repairs scraping code, adapting to website changes on the fly. With our no-code, easy-to-use interface, companies can scale their web data extraction efforts without the tedious task of building scraping bots for each individual website.

Partner · Firestreak Ventures

Amir Rustamzadeh

Co-founder @ Reworkd AI | YC S23 | AI Grant. Currently hiring!!

Srijan Subedi

Python developer | Data Engineer | Web Extraction Specialist | Automation Engineer

Ajay kumar kushwaha

Co-founder @ReworkdAI ~ We're Hiring!

Adam Watkins

🌟 Confluent #AI Day has made its debut, setting a new standard for #innovation and #engagement ! 🎉 The energy was incredible, with attendees fully engaged—especially during the AI hackathon. It was inspiring to see everyone so immersed in the advancements happening right in front of us. Event Highlights: ✅ Welcomed hundreds of attendees both in person and online. ✅ Launched our Confluent for Startups AI Accelerator Program. Tim Graczewski ✅ Hosted a fantastic AI panel with experts from Anthropic , Amazon Web Services (AWS) , MongoDB , and Reworkd (YC S23) , moderated by Andrew Sellers . The panel tackled the immense opportunities and challenges in AI, exploring efficient, scalable solutions. MongoDB and AWS workshops drew enthusiastic participants with great Q&A engagement The hackathon stole the show with amazing entries showcasing the future of AI on #Confluent #Cloud —true talent and innovation on display! 🎖️ Hackathon Winners: 1️⃣ Most Impactful AI app: Xian Ke & Yosun Chang – Built an impressive 3D customer service agent featuring our CEO Jay Kreps 2️⃣ Most Flink-Driven AI app: Arvind Ram – Designed a solution to detect and avoid customer churn 3️⃣ Most Creative AI app: Samuel Zhen – Developed a productivity tool to help developers reason through tickets Hosting this event was truly rewarding, and I couldn't be prouder of the community that came together. This is just the beginning! 🚀 Great Support from Product Marketing team Varsha Nagele Anna, Kushagra K. & Greg. #Confluent #AIDay #Innovation #AI #Hackathon #ConfluentCloud

Ram Dhakne

Excited for the team to join Zyte in Texas for Extract Summit!

Reworkd (YC S23) has raised $2.75 million in seed funding to build AI agents to extract structured data from the public web. Today, organizations rely heavily on web scrapers to gather public web data for AI models. Traditional web scrapers are costly and need manual setup for each site. Founded by Asim Shrestha , Srijan Subedi , and Adam Watkins , Reworkd solves this by using AI agents to automate the process. Customers can provide a list of websites and specify the data they need, and Reworkd’s AI generates the necessary code to scrape the sites and organize the data efficiently. Web scrapers have faced controversy recently due to legal issues involving AI companies, which are accused of using data behind paywalls without permission. Reworkd addresses these concerns by focusing solely on publicly available information — ensuring they do not access content behind sign-in walls or other restricted areas. One use case for Reworkd is their work with Axis, a company that helps policy teams comply with government regulations. Axis uses Reworkd’s AI to extract data from thousands of government regulation documents for many countries across the European Union. Axis then trains and fine-tunes an AI model based on this data and offers it to clients as a product. Congrats to the team on the round! https://lnkd.in/gDij8cRB

Y Combinator

Exciting news! We've successfully raised $2.75 million in our seed round, bringing our total investment to $4 million 🎉 We are thrilled to work with amazing investors like Paul Graham, Nat Friedman , Daniel Gross, SV Angel , General Catalyst , Panache Ventures , and many more. While building and scaling #AgentGPT to 1M users, we discovered a recurring need among businesses: an AI agent capable of dynamically scraping hundreds of websites and returning data in a structured format based on a given schema. So, we listened and built a dedicated tool to do just that. With our platform, you can now upload a list of sites, specify the exact data you need, and let the platform handle the rest. From generating the scraping code and fixing it when the site structure changes to managing proxies and running the code on a set schedule, we take care of everything. This means you can focus on building your platform while we manage your data pipeline 🫡 If you or someone you know needs to extract web data from numerous sites on a regular basis, please feel free to DM me or email me at srijan@reworkd.ai . Learn more here: https://lnkd.in/gcPUZdjf . Shout out to the whole team Asim Shrestha , Adam Watkins , Rohan Pandey , Sean McGuire and Maxwell Zeff for the write-up!

Super excited to announce that we've raised $2.75 million in seed funding to accelerate our work on multi-modal web agents. This brings our total raised to over $4 million. Our LLM systems are live in production today with numerous companies building new web data constrained products. If you have any need for domain specific, highly structured web data, don't hesitate to reach out to us at Reworkd (YC S23) We're also super excited to get to work alongside amazing investors like Paul Graham himself, Nat Friedman , Daniel Gross, SV Angel , General Catalyst , Panache Ventures and many more. Learn more here: https://lnkd.in/gfAYEQfK and shout out Maxwell Zeff for the write up

Asim Shrestha

🎉 Check out the TechCrunch exclusive covering our journey building multimodal codegen for web data extraction at Reworkd (YC S23) and recent seed round from Paul Graham, General Catalyst , Nat Friedman & Daniel Gross, SV Angel , Y Combinator , and more!

Rohan Pandey

Huge congrats to Panache Ventures port co Reworkd (YC S23) on an all-star Seed round from General Catalyst , SV Angel , Y Combinator & more! cc: Asim Shrestha Srijan Subedi Adam Watkins

Chris Neumann

Flashy AI videos are everywhere. The real substance is elsewhere ⬇️ There's no shortage of attention-grabbing AI videos. When it comes to real-world impact though, I'm more excited about AI in automation. You've probably heard of the many synonyms: Hyperautomation, Intelligent Automation, Cognitive Automation, Business Orchestration and Automation (BOAT??). We are starting to see some promising agentic AI examples and I want to highlight one example. Kudos to Asim Shresetha and the team at Reworkd (YC S23) for this excellent demo of AI being used as part of a data scraping use case. Every business has a need for data extraction from invoices, contracts, and other docs. Traditional RPA is highly useful for predictable automation but can fall apart quickly otherwise. This is where AI-powered scraping comes in: 🟢 Provide sources and schema - let the AI do the rest 🟢 Reacts to errors or other exceptions far better than RPA 🟢 Can be used to extend to use cases where RPA is unsuitable There is a lot of hype in AI. My bet is AI in automation for real, measurable improvements than text-to-video anytime soon. 𝗧𝗟𝗗𝗥: 🟣 AI videos are flashy, but real impact is in AI-driven automation. 🟣 AI agents rooted in automation are starting to get interesting. ----- 🔔 Follow for more AI content that spans best practices to business value. #Automation #rpa #businessautomation #hyperautomation #ai

Jamie Hu

Reworkd (YC S23) is the simplest way to extract web data at scale. Simply provide: 1) a list of websites (hundreds or even thousands) 2) a schema for the structured data you’d like to extract Reworkd then handles your data extraction end-to-end: generating extractor code, storing millions of rows of data, and refreshing data on a recurring basis. Learn more: https://lnkd.in/gxJampgZ

📢 Today we’re launching broader access to Reworkd—the simplest way to extract web data at scale. Simply provide: 1) a list of websites (hundreds or even thousands) 2) a schema for the structured data you’d like to extract Reworkd then handles your data extraction end-to-end: generating extractor code, storing millions of rows of data, and refreshing data on a recurring basis. Our customers currently use Reworkd for use-cases spanning govtech, e-commerce, and edtech. If you’d like to scale up your web data extraction, learn more at our new landing page ( https://reworkd.ai ) and book a call with our co-founder Srijan !

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