I’d wondered for a while why no-one who had talked about scraping at conferences had actually demonstrated the procedure. It seemed to me to be one of the most sought-after skills for any investigative journalist.
Then I tried to do so myself in an impromptu session at the first Data Journalism Conference in Birmingham (#DJUK16) and found out why: it’s not as easy as it’s supposed to look.
To anyone new to data journalism, a scraper is as close to magic as you get with a spreadsheet and no wand. Continue reading
7 years ago ScraperWiki launched with a plan to make scraping accessible to a wider public. It did this by creating an online space where people could easily write and run scrapers; and by making it possible to read and adapt scrapers written by other users (the ‘wiki’ part).
by Maria Crosas Batista
Mexican newspaper El Universal has put a face to the 4,534 women who have gone missing in Mexico City and the State of Mexico over the last decade: Ausencias Ignoradas (Ignored Absences) aims to put pressure on the government and eradicate this situation.
“Most of the big web apps provide their API in JSON format (Facebook, Twitter, Instagram) however, as you may know if you’ve ever tried to use these, they often require an OAuth login in order to access the API.”
Last week the number of people who have bought my ebook Scraping for Journalists passed the 1,000 mark. That is, to me, incredible. A thousand journalists interested enough in scraping to buy a book? What happened?
When I first began writing the book I imagined there might be perhaps 100 people in the world who would be interested in buying it. It was such a niche subject I didn’t even consider pitching it to my normal publishers.
Now it’s so mainstream that the 1000th ‘book’ was actually 12: purchased by a university which wanted multiple copies for its students to borrow – one of a number of such institutions to approach me to do so. Continue reading
The latest in the series of Frequently Asked Questions comes from a UK student, who has questions about big data.
How can data journalists make sense of such quantities of data and filter out what’s meaningful?
In the same way they always have. Journalists’ role has always been to make choices about which information to prioritise, what extra information they need, and what information to include in the story they communicate. Continue reading