Hi! We've renamed ScraperWiki.
The product is now QuickCode and the company is The Sensible Code Company.

Archive by Author

Elasticsearch and elasticity: building a search for government documents

Based in Paris, the OECD is the Organisation for Economic Co-operation and Development. As the name suggests, the OECD’s job is to develop and promote new social and economic policies. One part of their work is researching how open countries trade. Their view is that fewer trade barriers benefit consumers, through lower prices, and companies, […]

Where do tweets come from?

In our Twitter search tool, we provide the location of tweets via the latitude and longitude data Twitter offers. If you want to know about where the user was who created a particular tweet, it’s unfortunate then that most Twitter users (including me) don’t enable this feature. What you usually find are rare sightings of […]

What’s Twitter time zone data good for?

The Twitter friends tool has just been improved to retrieve the time zone of users. This is actually more useful than it first might sound. If you’ve looked at Twitter profiles before, you’ve probably noticed that users can, and sometimes do, enter anything they like as their location. Looking at @ScraperWiki‘s followers, we can see […]

Our new US stock market tool

In a recent blog post, Ian talked about getting stock market data into Tableau using our Code in a Browser tool. We thought this was so useful that we’ve wrapped this up into an easy-to-use tool. Now you can get stock data by pressing a button and choosing the stocks you’re interested in, no code […]

Getting Twitter connections

Introducing the Get Twitter Friends tool Our Twitter followers tool is one of our most popular: enter a Twitter username and it scrapes the followers of that account. We were often asked if it’s possible not only to get the users that follow a particular account, but the users that are followed by that account […]

(Machine) Learning about ScraperWiki’s Twitter followers

Machine learning is commonly used these days. Even if you haven’t directly used it personally, you’ve almost certainly encountered it. From checking your credit card purchases to prevent fraudulent transactions, through to sites like Amazon or IMDB telling you what things you might like, it’s a way of making sense of the large amounts of data that are increasingly accessible. Supervised learning […]

Finding contact details from websites

Since August, I’ve been an intern at ScraperWiki. Unfortunately, that time’s shortly coming to an end. Over the past few months, I’ve learnt a huge amount. I’ve been surprised at just how fast-moving things are in a startup and I’ve been involved with several exciting projects. Before the internship ends, I thought it would be a […]

Hi, I’m Steve

Hi, I’m Steve and I’m the most recent addition to ScraperWiki’s burgeoning intern ranks. So, how exactly did I end up here? Looking at ScraperWiki’s team page, you can see that scientists working here is a common theme. I’m no different in that regard. Until recently, I was working as a university scientific researcher (looking at new […]

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