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Our friendly competitors / partners

I made this diagram a few months ago now (for VCs), that shows the world of online data collaboration and scraping from a ScraperWiki point of view. It shows the kind of companies and technologies that, if ScraperWiki were to not … Continue reading

Posted in business, opendata | Tagged , | 2 Comments

Job advert: Lead programmer

Oil wells, marathon results, planning applications… ScraperWiki is a Silicon Valley style startup, in the North West of England, in Liverpool. We’re changing the world of open data, and how data science is done together on the Internet. We’re looking for a … Continue reading

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Lots of new libraries

We’ve had lots of requests recently for new 3rd party libraries to be accessible from within ScraperWiki. For those of you who don’t know, yes, we take requests for installing libraries! Just send us word on the feedback form and … Continue reading

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Scraping guides: Dates and times

Working with dates and times in scrapers can get really tricky. So we’ve added a brand new scraping guide to the ScraperWiki documentation page, giving you copy-and-paste code to parse dates and times, and save them in the datastore. To … Continue reading

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New backend now fully rolled out

The new faster, safer sandbox that powers ScraperWiki is now fully rolled out to all users. You should find running and developing scrapers and views faster than before, and that you’re using much more recent versions of Ruby, Python and associated … Continue reading

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Scraping guides: Parsing HTML using CSS selectors

We’ve added a new scraping copy-and-paste guide, so you can quickly get the lines of code you need to parse an HTML file using CSS selectors. Get to it from the documentation page: The HTML parsing guide is available in Ruby, Python … Continue reading

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Four data trends to rule them all, the data scientist king to bind them

My favourite soundbite from O’Reilly’s Strata data conference was a definition of big data. John Rauser, Amazon’s main data scientist, said to me that “data is big data when you can’t process it on one machine”. And naturally, small data is … Continue reading

Posted in opendata, research | Tagged , , | 4 Comments

Make RSS with an SQL query

Lots of people have asked for it to be easier to get data out of ScraperWiki as RSS feeds. The Julian has made it so. The Web API now has an option to make RSS feeds as a format (i.e. … Continue reading

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Scraping guides: Excel spreadsheets

Following on from the CSV scraping guide, we’ve now added one about scraping Excel spreadsheets. You can get to them from the documentation page. The Excel scraping guide is available in Ruby, Python and PHP. Just as with all documentation, you can … Continue reading

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A faster, safer sandbox to play in

When programmers first hear about ScraperWiki, their initial reaction is often “what! you let anyone edit general purpose code and run it on your servers!”. The answer is that, yes, we do, but in an isolated environment. Your own “sandbox” … Continue reading

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