Convert any website into text to create LLM training data

Extract text from any website (no coding required). Keep the data up to date with live monitoring, scale the data with bulk extractions, and connect it to your LLM of choice. 
Scrape HTML and convert it to text

Transform websites into LLM training data for ChatGPT, Anthropic and more.

Transform web content into high-quality customized training data at scale.

Convert HTML to text in minutes

Point click and extract text from any website. 

Automatically connect with your LLM of choice

Connect web data to ChatGPT, Anthropic (Claude) and more through our Zapier integration.

Scrape all text on any web page

Built in bot detection, proxy management, rate limiting and geo location selector.

Keep your data accurate 

AI powered change monitoring, automatic retries, and alert detection.

Integrate with (almost) anything

CSV, JSON, API, custom Webhooks, or connecting to the tools you already use with over 7,000 integrations

Bulk extractions at scale

Extract text and content across 50,000 websites.

Choose a website

Pick a website to scrape data from. Decide if you want to extract data once or set up a monitor.

Train your robot

Show your robot the items to scrape on a page with a simple point-and-click, and watch it work.

Get data you want

Extract data in a format you prefer. Set alerts for you and your team to get notified of any changes.

Book a consultation call

We work directly with you to extract, transform, and maintain custom data pipelines.

Here’s what to expect:
1- An initial call to learn more about your data needs and answer any questions you have.
2- Our expert team builds a custom robot for the sites you wish to scrape.
We send you sample data collected and get your feedback.
3- We refine your project details and provide a full quote for ongoing delivery and service options.
4- You can have a live data pipeline as quickly as 7 business days.

We proudly partner with startups, large enterprises, consulting firms, and tech companies to fuel their data pipelines reliably at scale.
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