Browse AI Help Companies Build Bots to Scrape Website Data and Put it to Work


Build Bots to Scrape Website Data and Put it to Work
Browse AI Help Companies Build Bots to Scrape Website Data and Put it to Work
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Introduction:

In the past, businesses that wanted to extract data from websites had to write proprietary code, which was costly, and time-consuming, and Build Bots to Scrape Website Data and Put it to Work frequently out of reach for smaller enterprises. Here comes Browse AI, a young firm that has created a system for automatically extracting data from webpages and transferring it to a spreadsheet or API for further processing.

The business declared a $2.8 million startup investment today.

Providing a SaaS application to train a bot to extract data that satisfies a particular set of criteria and adding that data to a spreadsheet or API that can link to an application is what it entails in practice. If privacy is a problem, the emphasis should be on publicly available data, such as real estate pricing data, or an eCommerce company monitoring the most recent competitor pricing data.

The product was released in 2021 by the startup, which had its inception in 2020. It has gained a lot of popularity. The company estimates 200,000 new users in only the previous six months; not all are small businesses. Teams from Amazon, Walmart, Accenture, Google, and McKinsey are among the clients.

Build Bots to Scrape Website Data and Put it to Work:

Build Bots to Scrape Website Data and Put it to Work image

Build Bots to Scrape Website Data and Put it to Work (Image Source: techcrunch.com)

Naghshineh also notes that the company’s ARR (annual recurring revenue) has increased 20x year over year and achieved cash flow positive status, an admirable accomplishment for such a small business. With Naghshineh saying that he has only used half of the $400,000 in pre-seed funding his company received, it has also managed to be very capital-efficient.

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The firm presently has 18 people; if things keep going like they are, they could reach 50 or more within a year. As part of that, the business is setting up a location in Vancouver to adopt a hybrid working style. As he builds his team, Naghshineh, who came to Canada a decade ago as an immigrant, says he takes diversity very seriously. He has found talent in traditionally underrepresented groups simply by looking.

A group of investors, including Interface Capital, Alpine Venture Capital, AltaIR, Banana Capital, Creator Ventures, Trust Fund, Singularity Capital, Goodwater Capital, and other well-known industry angels, contributed to today’s $2.8 million seed round.


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Sai Sandhya