Import.io announces Gary Read to its Board as Chairman after raising $13m Series A funding round led by Imperial Innovations

– UK, London – Import.io is pleased to announce that the company has just raised a $13 million Series A round of funding. The new investment was led by Imperial Innovations, with participation from Wellington Partners, Oxford Capital, Open Ocean, Delin Capital and AME Cloud Ventures.

“This new round of funding represents the biggest investment ever in web data extraction and we are thrilled to partner with investors who think just as boldly and creatively as we do about delivering on our vision.” – David White, CEO and Founder of Import.io

We’re particularly excited to start the new year with this announcement after last year’s record growth: in 2015, our users created more than one million web APIs and extracted data from over 5.5 billion web pages. Rest assured, these new funds will be put to good use helping us to further develop our data extraction technology and expand our ecosystem of analytics and visualization partners.

“Import.io has developed a completely new way of extracting, processing, and delivering web data, solving an increasingly urgent need for data-driven businesses around the world. They are uniquely positioned to be the preferred provider of valuable web intelligence for companies large and small.” – David Axmark, founder of MySQL and an angel investor in Import.io

In conjunction with the funding, Gary Read, formerly president and CEO at Boundary and Nimsoft, will join the board of directors as chairman, along with Martyn Holman of Oxford Capital; Mario Branciforti of Imperial Innovations; and Jonathan Hay of Delin Capital.

About Import.io

Import.io is a web-data platform that puts the power of the machine-readable web in your hands. Using its free data extraction technology, individuals can turn messy websites into structured tables of data that they can actually use without writing a single line of code. Import.io also offer a Data Feeds product for organizations that want large volumes of pre-cleaned, process-ready data provided to them directly.

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