At the start of the year, we announced the beginnings of a new, more powerful, more flexible ScraperWiki. More powerful because it exposes industry standards like SQL, SSH, and a persistent filesystem to developers, so they can scrape and crunch and export data pretty much however they like. More flexible because, at its heart, the new ScraperWiki is an ecosystem of end-user tools, enabling domain experts, managers, journalists, kittens to work with data without writing a line of code.

At the time, we were happy to announce all of our corporate Data Services customers were happily using the new platform (admittedly, with a few rough edges!). Lots has changed since then (seriously – take a look at the code!) and we’ve learnt a lot about how users from all sorts of different backgrounds expect to see, collect and interact with their data. As a guy with UX roots, this stuff is fascinating – perhaps something for future blogs posts!

Anyway, back to the future…

Last week, we invited our ‘Premium Account’ holders from ScraperWiki Classic, to come try the new ScraperWiki out. Each of them had their own private data hub, pre-installed with all of their Classic scrapers and views. And they all have access to a basic suite of tools for importing, visualising and exporting data (but there are far more to come).

The feedback we’ve had so far has been really positive, so I wanted to say a big public thank you to everyone in this first tranche of users – you awesome, data-wrangling trail-blazers, you.

But we’re not standing still. Since our December announcement, we’ve collated a shortlist of early adopters: people who are pushing the boundary of what Classic can offer, or who have expressed interest in the new platform on our blog, mailing list, or Twitter. And once we’ve made some improvements, and put the finishing touches on our first set of end-user tools, we’ll be inviting them to put new ScraperWiki to the test.

If you’d like to be part of that early adopter shortlist, leave a comment below, or email new@scraperwiki.com. We’d love to have you on board.

The new ScraperWiki has been built from the ground up to be more powerful for data scientists, and easier to use for everyone else. At its core, it’s about empowering people to take a hold of their data, to analyse it, combine it, and make value from it.

We can’t wait to let you try it in January. In the meantime, however, we’re pleased to announce that all of our corporate customers are already migrating to the new ScraperWiki for scraping, storing and visualising their private datasets.

If you want data scraping, cleaning or analysing, then you can join them. Please get in touch. We’ve got a data hub and a team of data scientists itching to help.