How Structify Uses Browserbase for AI-Driven Web Data Collection

Structify develops sophisticated AI agents that navigate the web and automatically structure information into enterprise-tier datasets. Their platform helps companies efficiently collect and organize large-scale web data, transforming unstructured web content into valuable business intelligence.

The Challenge: Scaling Browser Automation for AI Agents

For Structify's team, scaling their browser automation infrastructure was a technical challenge that threatened to bottleneck their entire operation. They had mastered scaling other aspects of their infrastructure, but browser automation proved to be a unique hurdle.

"We knew how to scale everything else: CPU workload, web balancing, GPU inference… But it turns out that when you try to open 30,000 browser tabs, things start crashing"

- Alex Reichenbach, Founder, Structify

Before Browserbase, Structify faced several critical technical challenges:

• Managing massive memory consumption from thousands of browser instances

• Scaling up Kubernetes to handle match the tens of thousands of browsers, and being able to do it quickly and on-demand

• Maintaining reliable browser instantiation and management

From Infrastructure Headache to an API Call

Browserbase transformed how Structify's AI agents interact with the web by providing a robust, scalable solution that eliminated their infrastructure challenges. The integration was straightforward and allowed them to focus on their core AI capabilities rather than browser management.

"Anytime one of our AI agents goes out, it automatically calls Browserbase. Anytime we get a request to get information from the Internet, which is a lot of what we do, that automatically integrates with Browserbase on the backend."

The impact was substantial across several key areas:

Efficient Resource Management The implementation of Browserbase dramatically reduced their server resource consumption, particularly RAM usage, which had previously been a major bottleneck.

"There was a measurable improvement - we went from gigabytes of RAM being eaten up by browsers in our production web server to basically zero. We wouldn’t have been able to do this without Browserbase."

Enhanced Scalability Browserbase enabled Structify to reliably scale their operations to handle thousands of concurrent browser sessions without the overhead of managing the browser infrastructure.

"We now regularly scale to several thousand browsers. That's a lot of memory. We are able to reliably spawn that many and not worry"

Streamlined Operations By eliminating the need to manage browser infrastructure, Structify could focus on their core competencies and scaling their AI capabilities.

"The fact that we don't have to worry about browser instantiation, keeping them alive, scaling up kubernetes to match the number of browsers, being able to do it on demand and really quick is incredible for us."

Processing Massive Web Datasets

With Browserbase, Structify has been able to significantly expand their data collection capabilities, enabling them to process unprecedented volumes of web content.

"It's allowed us to start scraping en masse larger data sets. We can scrape on the order of tens of thousands of websites for a single data set."

Why Structify Trusts Browserbase

Structify's experience with Browserbase demonstrates the value of a solution that combines ease of integration with reliable performance at scale. The platform's consistency and dependability have made it an integral part of their infrastructure.

"I have recommended Browserbase to others. It's incredibly simple to integrate. It's one of its biggest value adds. And it just works well."

By implementing Browserbase, Structify has revolutionized their ability to process web data at scale. Their solution has fundamentally changed how they approach web automation and data collection, enabling them to handle tens of thousands of websites efficiently and reliably. This transformation has positioned Structify at the forefront of AI-powered web data structuring, helping enterprises turn massive amounts of web content into structured, actionable data sets.